CN110384495B

CN110384495B - An ECG detection method and wearable device

Info

Publication number: CN110384495B
Application number: CN201910525556.5A
Authority: CN
Inventors: 谭细金; 席毅; 孙士友; 胡轶
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2019-06-18
Filing date: 2019-06-18
Publication date: 2021-06-04
Anticipated expiration: 2039-06-18
Also published as: WO2020253727A1; EP3973860A4; US20220265197A1; CN110384495A; EP3973860A1

Abstract

The application provides an ECG detection method and wearable equipment. The method comprises the following steps: a first electrode in the wearable device detects a first electric signal, and a second electrode detects a second electric signal; the processor determines a frequency bandwidth according to the current state of the wearable device and/or the state of a user in contact with the first electrode and the second electrode; the processor determines an Electrocardiogram (ECG) from the electrical signals of the first and second electrical signals having a frequency within the frequency bandwidth. In the method, the wearable device may select a suitable frequency bandwidth according to a state of the wearable device and/or a state of a user (e.g., a user wearing the wearable device) in contact with the first electrode and the second electrode, and further obtain the ECG according to the frequency bandwidth. Therefore, no matter what motion state the user is in, such as running, stationary, etc., the wearing equipment can obtain more accurate ECG, and is convenient for the user to use.

Description

ECG detection method and wearable device

Technical Field

The application relates to the technical field of terminals, in particular to an ECG detection method and wearable equipment.

Background

An Electrocardiogram (ECG) may reflect the health status of the user, for example, the ECG may reflect diseases of the heart (e.g., arrhythmia), and so on. The traditional ECG technology is only provided by hospitals, and a user wants to perform ECG detection, and the ECG detection is performed according to a specific flow at the hospital at the direction of a doctor. In addition, existing medical systems use fixed frequency detection when detecting the ECG, e.g. the fixed frequency bandwidth is 0.05-100 Hz. The frequency bandwidth of the medical device is more stringent for the user (the user receiving the ECG test), for example, the user is required to lie still, fast and the like.

With the pace of life increasing, devices that can detect ECG anytime and anywhere to help users monitor their health status are increasingly in demand.

Disclosure of Invention

The application aims to provide an ECG detection method and wearable equipment, when a user wears the wearable equipment, the wearable equipment can detect ECG no matter what motion state the user is in, such as running, static and the like, and the use of the user is facilitated.

The above and other objects are achieved by the features of the independent claims. Further implementations are presented in the dependent claims, the description and the drawings.

In a first aspect, an ECG detection method is provided that may be performed by a wearable device. Wearing devices such as bracelets, watches, and the like. The wearable device may include a processor, a first electrode, and a second electrode, the method comprising: the first electrode detects a first electric signal, and the second electrode detects a second electric signal; the processor determines a frequency bandwidth according to a current state of the wearable device and/or a state of a user in contact with the first electrode and the second electrode; the processor determines an Electrocardiogram (ECG) from the electrical signals of the first and second electrical signals having a frequency within the frequency bandwidth.

Generally, the electrical signals generated by the human body have a certain frequency, and the bandwidth of the frequency is in the range of 0.05-150 Hz. When a human body is in a motion state, the respiration of the human body, the motion of the human body, and the like all affect the generation of electrical signals, so that the electrical signals generated by the human body (the frequency range is within 0.05-150Hz) contain more noise. If the ECG detection device detects ECG using a fixed frequency 0.05-150Hz frequency domain bandwidth, the accuracy of the detected ECG is low (because some electrical signals are not available within the 0.05-150Hz frequency domain bandwidth). Therefore, in the embodiment of the present application, the wearable device can select an appropriate frequency bandwidth according to the state of the wearable device and/or the state of the user in contact with the first electrode and the second electrode, and then obtain the ECG according to the frequency bandwidth. Therefore, no matter what motion state the user is in, such as running, state such as still, can all detect through this wearing equipment and obtain comparatively accurate ECG, convenience of customers uses.

In one possible design, the processor determines the frequency bandwidth according to a current state of the wearable device, including: the processor determines the current motion state of the wearable device according to the motion sensor in the wearable device; the processor determines a frequency bandwidth from the motion state.

It is to be understood that a motion sensor may be included in the wearable device, which may be used to detect a motion state of the wearable device. The wearable device can select a suitable frequency bandwidth according to the motion state. Therefore, no matter what motion state the user is in, such as running, state such as still, can all detect through this wearing equipment and obtain comparatively accurate ECG, convenience of customers uses.

In one possible design, the processor determines a frequency bandwidth based on a state of a user in contact with the first electrode and the second contact, including: the processor determines the skin state of the body part of the user in contact with the first electrode and/or the second electrode according to the impedance value detected by a bioimpedance Bio-z sensor in the wearable device; the processor determines a frequency bandwidth from the skin condition of the user.

It will be appreciated that a Bio-z sensor may be included in the wearable device, which Bio-z sensor may be used to detect a skin condition of a body part of the user in contact with the first electrode and/or the second electrode. The wearable device selects an appropriate frequency bandwidth according to the skin condition. For example, in the case of skin that is too dry or too water-soaked, a smaller range of frequency bandwidth may be selected, and in the case of moderate skin dryness or moisturization, a larger range of frequency bandwidth may be selected. By the method, no matter what state (such as skin state) the user is in, a relatively accurate ECG can be detected through the wearable device, and the operation of the user is facilitated.

In one possible design, the processor determines a frequency bandwidth based on a state of a user in contact with the first electrode and the second contact, including: the processor determining contact between the user and the first and second electrodes from a pressure sensor and/or the capacitive sensor in the wearable device; the processor determines a frequency bandwidth according to the contact condition.

It is to be understood that pressure sensors and/or capacitive sensors may be included in the wearable device. And a pressure sensor and/or a capacitance sensor may be used to detect contact of a user with the first and second electrodes. The wearable device can select a proper frequency bandwidth according to the contact condition. For example, a frequency bandwidth with a large range may be selected when the contact is good, and a frequency bandwidth with a small range may be selected when the contact is poor. By the method, no matter how the user contacts the first electrode and the second electrode, the accurate ECG can be detected through the wearable device, and the operation of the user is facilitated.

In one possible design, before the first electrode detects the first electrical signal and the second electrode detects the second electrical signal, a lock screen black screen interface, a lock screen bright screen interface or a main interface is displayed on a display screen of the wearable device.

It should be understood that the wearable device may include a display screen. Before the user touches the first electrode and the second electrode, the display screen can display a screen locking and blank screen interface, a screen locking and bright screen interface or a main interface. That is, regardless of any interface displayed on the display screen of the wearable device, the first and second electrodes may detect an electrical signal as long as the user touches the first and second electrodes. The ECG APP is not required to be manually started by a user, and then the first electrode and the second electrode are contacted, so that the operation of the user is facilitated.

In one possible design, the wearable device may detect the input operation before the first electrode detects the first electrical signal and the second electrode detects the second electrical signal; in response to the input operation, activating an ECG automatic detection function; when the wearable device starts an ECG automatic detection function, the first electrode and the second electrode are always in an enabling state.

In the embodiment of the application, after the wearable device starts the ECG automatic detection function, the first electrode and the second electrode are always in an enabled state. It should be understood that since the first and second electrodes are always in the enabled state, the first and second electrodes may detect electrical signals whenever a user touches the first and second electrodes, regardless of any interface displayed on the display screen of the wearable device. The ECG APP is not required to be manually started by a user, and then the first electrode and the second electrode are contacted, so that the operation of the user is facilitated.

In one possible design, the wearable device may also display waveforms corresponding to the ECG, as well as health status information corresponding to the ECG.

It should be understood that the waveform corresponding to the ECG and the corresponding health status information can be displayed on the display screen of the wearable device, which is convenient for the user to view.

In a second aspect, a wearable device is provided, the wearable device comprising a processor, a first electrode and a second electrode; the first electrode is used for detecting a first electric signal; the second electrode is used for detecting a second electric signal; the processor is used for determining a frequency bandwidth according to the current state of the wearable device and/or the state of a user in contact with the first electrode and the second electrode; the processor is further configured to determine an Electrocardiogram (ECG) from the electrical signals of the first and second electrical signals having a frequency within the frequency bandwidth.

In one possible design, the wearable device includes a motion sensor; the motion sensor is used for detecting the motion state of the wearable device; the processor is specifically configured to: and determining the frequency bandwidth according to the motion state.

In one possible design, the wearable device includes a Bio-impedance Bio-z sensor disposed on the first electrode and/or the second electrode; the Bio-z sensor for detecting a skin condition of a body part of the user in contact with the first electrode and/or the second electrode; the processor is specifically configured to: determining a frequency bandwidth according to the skin condition of the user.

In one possible design, the wearable device includes a pressure sensor and/or a capacitive sensor; the pressure sensor is arranged on the first electrode and/or the second electrode, and/or the capacitance sensor is arranged on the first electrode and/or the second electrode; the pressure sensor and/or the capacitance sensor are/is used for detecting the contact condition of the user with the first electrode and/or the second electrode; the processor is specifically configured to: and determining the frequency bandwidth according to the contact condition.

In one possible design, the wearable device further comprises a display screen; the first electrode detects a first electric signal, and before the second electrode detects a second electric signal, a lock screen black screen interface, a lock screen bright screen interface or a main interface is displayed on the display screen.

In one possible design, the wearable device further comprises an input device, wherein the input device is used for detecting an input operation; the processor is further configured to: in response to the input operation, an ECG automatic detection function is activated such that the first and second electrodes are always in an enabled state.

In one possible design, the wearable device includes a display screen to: displaying a waveform corresponding to the ECG and health status information corresponding to the ECG.

In a third aspect, there is provided a wearable device comprising a first electrode and a second electrode, at least one processor and a memory; wherein the memory is to store one or more computer programs; the memory stores one or more computer programs that, when executed by the at least one processor, enable the electronic device to implement the first aspect or any one of the possible designs of the first aspect.

In a fourth aspect, there is also provided a wearable device comprising means for performing the method of the first aspect or any one of the possible designs of the first aspect. These modules/units may be implemented by hardware, or by hardware executing corresponding software.

In a fifth aspect, there is also provided a computer-readable storage medium comprising a computer program which, when run on an electronic device, causes the electronic device to perform the first aspect or any one of the possible designs of the first aspect described above.

A sixth aspect further provides a program product for causing an electronic device to perform the method of the first aspect or any one of the possible designs of the first aspect described above, when the program product is run on the electronic device.

A seventh aspect further provides a chip, where the chip is coupled to a memory in an electronic device, and is configured to call a computer program stored in the memory and execute a technical solution of the first aspect of the embodiment of the present application and any one of possible designs of the first aspect of the embodiment of the present application; "coupled" in the context of this application means that two elements are joined to each other either directly or indirectly.

Drawings

Fig. 1A is a schematic diagram of a hardware structure of a wearable device 100 according to an embodiment of the present application;

fig. 1B is a schematic diagram of a hardware structure of a wearable device 100 according to an embodiment of the present application;

fig. 2 is a schematic diagram of a structure of a wearable device 100 according to an embodiment of the present application;

fig. 3 is a schematic diagram of a structure of a wearable device 100 according to an embodiment of the present application;

fig. 4 is a schematic diagram of a structure of a wristwatch according to an embodiment of the present application;

fig. 5A is a schematic view of a structure of a watch according to an embodiment of the present application;

fig. 5B is a schematic diagram of a structure of a watch according to an embodiment of the present application;

fig. 6 is a schematic diagram of a structure of a wristwatch according to an embodiment of the present application;

FIG. 7 is a schematic diagram of an ECG waveform provided by an embodiment of the present application;

FIG. 8 is a schematic diagram of a user wearing a watch according to an embodiment of the present application;

FIG. 9 is a schematic view of a graphical user interface of a wearable device provided in an embodiment of the present application;

FIG. 10 is a schematic view of a graphical user interface of a wearable device provided in an embodiment of the present application;

FIG. 11 is a schematic view of a graphical user interface of a wearable device provided in an embodiment of the present application;

fig. 12 is a schematic diagram of a graphical user interface of a mobile phone according to an embodiment of the present application;

fig. 13 is a schematic diagram of a graphical user interface of a mobile phone according to an embodiment of the present application;

fig. 14 is a flowchart illustrating an ECG detection method according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be described in detail below with reference to the drawings in the following embodiments of the present application.

Hereinafter, some terms referred to in the embodiments of the present application will be explained so as to be easily understood by those skilled in the art.

It should be noted that the following embodiments of the present application refer to frequency bandwidths for indicating frequency ranges for filtering the human body electrical signals. A chip or a component (e.g., a processor) having an ECG detection function may be provided with a filter or a chip or a component (e.g., a processor) having an ECG detection function may be connected to a filter that may filter an electrical signal input to the filter using a certain frequency bandwidth. Generally, the electrical signals generated by the human body have a certain frequency, and the frequency of the electrical signals generated by the human body is determined by experiments to be in the range of 0.05-150 Hz. Assuming that the filter filters the body electrical signals using a frequency bandwidth of 7-23Hz, the frequency of the electrical signals remaining after filtering is in the range of 7-23Hz, and electrical signals outside this range are filtered out.

The embodiments of the present application relate to at least one, including one or more; wherein a plurality means greater than or equal to two. In addition, it is to be understood that the terms first, second, etc. in the description of the present application are used for distinguishing between the descriptions and not necessarily for describing a sequential or chronological order.

The terminology used in the following examples is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of this application and the appended claims, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, such as "one or more", unless the context clearly indicates otherwise. It should also be understood that in the embodiments of the present application, "one or more" means one, two, or more than two; "and/or" describes the association relationship of the associated objects, indicating that three relationships may exist; for example, a and/or B, may represent: a alone, both A and B, and B alone, where A, B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.

Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.

It should be noted that, in general, the electrical signal generated by the human body has a certain frequency, and the bandwidth of the frequency is in the range of 0.05-150 Hz. When the human body is in a static state, the generated electric signals with the frequency domain bandwidth of 0.05-150Hz contain less noise. Thus, when the body is at rest, the electronic device may acquire the ECG using a frequency domain bandwidth of 0.05-150Hz, as the electrical signals generated by the body are less noisy in this frequency domain bandwidth, and electrical signals in the range of 0.05-150Hz are available. When a human body is in a motion state, the respiration of the human body, the motion of the human body, and the like all affect the generation of electric signals. The electrical signals generated by the human body in the range of 0.05-150Hz contain more noise. In this case, if the electronic device still detects the ECG using the frequency domain bandwidth of 0.05-150Hz, the accuracy of the detected ECG will be low (because some electrical signals are not available in the frequency domain bandwidth of 0.05-150Hz), which will affect the accuracy of the evaluation of the health status of the human body. In the prior art, the frequency bandwidth of the electronic device for detecting the ECG is fixedly set, and the frequency bandwidth is set to be 0.05-150Hz, so that the electronic device using the fixed frequency bandwidth cannot take into account the change of the electrical signals of the user in different motion states. For example, when the user is in motion, an electronic device using a fixed frequency domain bandwidth (0.05-150Hz) will not detect an accurate ECG and thus cannot accurately assess the health status of the user. In order to solve the technical problem, in the ECG detection scheme provided in an embodiment of the application, the electronic device may flexibly set the frequency bandwidth, for example, the electronic device may acquire an ECG using different frequency bandwidths according to different motion states of a user, and no matter what motion state the user is in, the ECG of the user in the motion state may be obtained, so as to improve the accuracy of assessing the health state of the user.

The ECG detection method provided by an embodiment of the present application may be applied to an electronic device, which may be a wearable electronic device (also referred to as a wearable device), such as a watch, a bracelet, an earphone, a helmet (such as a virtual reality helmet), and the like, and may also be a non-wearable device, such as a portable electronic device with an ECG detection function, such as a mobile phone, a tablet computer, a notebook computer, and the like. Exemplary embodiments of the portable electronic device include, but are not limited to, a mount

Or other operating system. It should be understood that the electronic device may not be a portable electronic device, but may be a desktop computer capable of detecting ECG, and the embodiments of the present application are not limited thereto. The following embodiments of the present application take an example in which the electronic device is a wearable device.

Fig. 1A shows a functional block diagram of a wearable device provided in an embodiment of the present application. In some embodiments, the wearable device 100 may be a watch, a smart band, or the like. As shown in fig. 1A, wearable device 100 may include one or more input devices 101, one or more output devices 102, and one or more processors 103. Input device 101 may detect various types of input signals (which may be abbreviated as input) and output device 102 may provide various types of output information (which may be abbreviated as output). Processor 103 may receive input signals from one or more input devices 101 and, in response to the input signals, generate output information for output via one or more output devices 102.

In some embodiments, one or more input devices 101 may detect various types of inputs and provide signals (e.g., input signals) corresponding to the detected inputs, and then one or more input devices 101 may provide the input signals to one or more processors 103. In some examples, the one or more input devices 101 may be any component or assembly that includes the ability to detect input signals. For example, the input device 101 may include an audio sensor (e.g., a microphone), an optical or visual sensor (e.g., a camera, a visible light sensor, or a non-visible light sensor), a proximity light sensor, a touch sensor, a pressure sensor, a mechanical device (e.g., a crown, a switch, a button, or a key, etc.), a vibration sensor, a motion sensor (also referred to as an inertial sensor, such as a gyroscope, an accelerometer, or a velocity sensor, etc.), a position sensor (e.g., a Global Positioning System (GPS)), a temperature sensor, a communication device (e.g., a wired or wireless communication device), an electrode, etc., or the input device 101 may be some combination of the above.

In some embodiments, one or more output devices 102 may provide various types of output. For example, one or more output devices 102 may receive one or more signals (e.g., output signals provided by one or more processors 103) and provide an output corresponding to the signals. In some examples, output device 102 may include any suitable components or components for providing output. For example, output device 102 may include an audio output device (e.g., a speaker), a visual output device (e.g., a light or a display), a tactile output device, a communication device (e.g., a wired or wireless communication device), and so forth, or output device 102 may be some combination of the various components described above.

In some embodiments, one or more processors 103 may be coupled to the input device 101 and the output device 102. The processor 103 may communicate with the input device 101 and the output device 102. For example, the one or more processors 103 may receive input signals from the input device 101 (e.g., input signals corresponding to inputs detected by the input device 101). The one or more processors 103 may interpret a received input signal to determine whether to provide one or more corresponding outputs in response to the input signal. If so, the one or more processors 103 may send output signals to the output device 102 to provide an output.

In some embodiments, one or more input devices 101 may further include a set of electrodes (which may be referred to simply as a set of electrodes), which may include at least two electrodes. The electrode sets may be disposed on one or more outer surfaces of the wearable device 100. The one or more processors 103 may monitor the voltage or signal received by the electrode set. In some embodiments, the electrodes may be used to provide ECG functionality for the wearable device 100. For example, when a user contacts a first electrode and a second electrode on the wearable device 100, the wearable device 100 may provide a 2-lead ECG function, i.e., the wearable device 100 may derive an ECG signal from a first electrical signal detected by the first electrode and a second electrical signal detected by the second electrode. As another example, when the user contacts a first electrode, a second electrode, and a third electrode on the wearable device 100, the wearable device 100 may provide a 3-lead ECG function, i.e., the wearable device 100 may derive an ECG signal from a first electrical signal detected by the first electrode, a second electrical signal detected by the second electrode, and a third electrical signal detected by the third electrode. Generally, the greater the number of electrodes, the more electrical signals are acquired and the more accurate the ECG. In the following embodiments of the present application, the wearable device 100 mainly includes two electrodes.

Fig. 1B shows a functional block diagram of a wearable device 100 provided in another embodiment of the present application. In some embodiments, the wearable device 100 may be a watch, a smart band, or the like. As shown in fig. 1B, the wearable device 100 includes a processor 103, a memory 104, electrodes 105, and a sensor module 106. It is to be understood that the components shown in fig. 1B do not constitute a specific limitation of the wearable device 100, and that the wearable device 100 may also include more or fewer components than shown, or combine certain components, or split certain components, or a different arrangement of components.

Processor 103 may include one or more processing units, such as: the processor 103 may include an Application Processor (AP), a modem processor, a Graphics Processing Unit (GPU), an Image Signal Processor (ISP), a controller, a memory, a video codec, a Digital Signal Processor (DSP), a baseband processor, and/or a neural-Network Processing Unit (NPU), etc. The different processing units may be separate devices or may be integrated into one or more processors. The controller may be, among other things, a neural center and a command center of the wearable device 100. The controller can generate an operation control signal according to the instruction operation code and the timing signal to complete the control of instruction fetching and instruction execution. In other embodiments, a memory may also be provided in processor 103 for storing instructions and data. In some embodiments, the memory in the processor 103 is a cache memory. The memory may hold instructions or data that have just been used or recycled by the processor 103. If the processor 103 needs to reuse the instruction or data, it can be called directly from the memory, avoiding repeated accesses, reducing the latency of the processor 103, and thus increasing the efficiency of the system. The processor 103 may run the software code/modules of the ECG detection method provided by some embodiments of the present application to detect a physiological parameter of the user, such as a user electrocardiogram ECG, an indication of atrial fibrillation, an indication of heart rate, etc. The following examples take ECG as an example.

The processor 103 may be configured to process electrical signals (e.g., body electrical signals) detected by the electrodes 105 (e.g., electrodes 105A or electrodes 105B) into an ECG. For example, the processor 103 may include one or more filters internally, or the processor 103 may be connected to one or more filters. The one or more filters may be configured to filter electrical signals detected by the electrodes 105 (e.g., electrical signals of the human body), for example, the processor 103 may configure the frequency bandwidth of the one or more filters, and if the frequency bandwidth of the filter is 0.5-40Hz, the filter may filter its input signals (e.g., electrical signals detected by the electrodes 105) to obtain electrical signals in the range of 0.5-40Hz, and filter out electrical signals at other frequencies. In some embodiments, the above functions of processing the electrical signals detected by the electrodes 105 into an ECG may be performed by other components, or circuitry, which may be a separate and distinct component from the processor 103. The other components, assemblies or circuits may be built by separate devices (for example, semiconductor devices), for example, the other components, assemblies or circuits may be Integrated Circuits (ICs), microcircuits (microcircuits), chips (chips), microchips (microchips), and the like, which integrate the ECG detection function, and the embodiments of the present application are not limited thereto.

Sensor module 106 may include a Photo Plethysmography (PPG) sensor 106A, a pressure sensor 106B, a Bio impedance (Bio-z) sensor 106C, a capacitance sensor 106D, an acceleration sensor 106F, and the like. It should be understood that fig. 1B is merely an example illustrating several sensors, and in practical applications, the wearable device 100 may further include more or fewer sensors, or replace the above-mentioned enumerated sensors with other sensors having the same or similar functions, and the embodiments of the present application are not limited thereto.

The PPG sensor 106A may be used to detect the heart rate, i.e. the number of heart beats per unit of time. The PPG sensor 106A may comprise a light emitting part and a light receiving part. The light emitting part may irradiate a light beam into a human body (e.g., a blood vessel), the light beam is reflected/refracted in the human body, and the reflected/refracted light is received by the light receiving part to obtain an optical signal. Since the light transmittance of blood changes during the fluctuation, the emitted/refracted light changes, and the light signal detected by the PPG sensor 106A also changes. The PPG sensor 106A may convert the optical signal into an electrical signal and determine a heart rate corresponding to the electrical signal.

The pressure sensor 106B may be configured to detect a pressure value between the human body and the wearable device 100. The pressure sensor 106B is used for sensing a pressure signal, and can convert the pressure signal into an electrical signal. When the pressure sensor 106B is disposed on the electrode 105A and/or the electrode 105B, the larger the pressure signal detected by the pressure sensor 106B is, the stronger the electrical signal is, which indicates that the pressure (touch strength or touch strength) between the user and the electrode 105A and/or the electrode 105B is, the larger the pressure signal is. The pressure sensor 106B may be a resistive pressure sensor, an inductive pressure sensor, a capacitive pressure sensor, etc., and the embodiments of the present invention are not limited thereto.

The Bio-z sensor 106C may be used to detect a human Bio-impedance value. When the Bio-z sensor 106C is disposed on the electrode 105A and/or the electrode 105B, the Bio-z sensor 106C may detect a Bio-impedance value of a portion of the human body in contact with the electrode 105A and/or the electrode 105B. The Bio-z sensor 106C detects Bio-impedance values that reflect the skin condition of the human body, such as skin wetness, dryness, presence of stains, thickness of keratin, etc. For example, when the Bio-z sensor 106C detects a large Bio-impedance value, it indicates that the human skin is dry, such as dirty skin, thick cutin, etc.; when the Bio-z sensor 106C detects a small Bio-impedance value, it indicates that the human skin is wet, such as sweating, water stain, etc. Due to different skin states of the human body, the electrical signals generated on the surface of the human body are affected, and the accuracy of acquiring the ECG by the wearable device 100 is further affected. Accordingly, the wearable device 100 may refer to the Bio-impedance values detected by the Bio-z sensor 106C when generating the ECG, as will be described in detail below.

The capacitance sensor 106D may be configured to detect a capacitance between the human body and the wearable device 100, which may reflect whether the contact between the human body and the electronic device is good. When the capacitive sensor 106D is disposed on the electrode 105A and/or the electrode 105B, the capacitive sensor 106D may detect a capacitance between the human body and the electrode 105A and/or the electrode 105B. When the capacitance detected by the capacitance sensor 105D is too large or too small, it indicates that the human body is in poor contact with the electrode 105A and/or the electrode 105B; when the capacitance detected by the capacitive sensor 106D is moderate, it is indicated that the human body is in good contact with the electrode 105A and/or the electrode 105B. Since whether the contact between the human body and the electrode is good or not affects the electrode detection electric signal, and thus the generation of the ECG, the wearable device 100 may refer to the capacitance detected by the capacitance sensor 106D when generating the ECG. The details will be described later.

The acceleration sensor 106F may be configured to detect the magnitude of acceleration of the wearable device 100 in various directions (generally, three axes). The wearable device 100 is a wearable device, and when the user wears the wearable device 100, the wearable device 100 is driven by the user to move, so that the acceleration in each direction detected by the acceleration sensor 106F can reflect the motion state of the human body.

The memory 104 may be used to store computer-executable program code, which includes instructions. Processor 103 executes various functional applications of wearable device 100 and data processing by executing instructions stored in memory. The memory may include a high-speed random access memory, and may further include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, a universal flash memory (UFS), and the like, which is not limited in the embodiments of the present application. In some embodiments, the wearable device 100 may store the resulting ECG signals in the memory 104 for viewing by the user.

In some embodiments, the wearable device 100 may or may not include a display (or a display screen), such as a display or not when the wearable device 100 is a bracelet or a display when the wearable device 100 is a watch. A display, a display interface that may be used to display ECG, health status information, or other applications, and the like. The display includes a display panel. The display panel may adopt a Liquid Crystal Display (LCD), an organic light-emitting diode (OLED), an active-matrix organic light-emitting diode (active-matrix organic light-emitting diode, AMOLED), a flexible light-emitting diode (FLED), a miniature, a Micro-oeld, a quantum dot light-emitting diode (QLED), and the like. In some embodiments, a touch sensor may be disposed in the display to form a touch screen, which is not limited in this application. The touch sensor is used to detect a touch operation applied thereto or nearby. The touch sensor may communicate the detected touch operation to the processor 103 to determine the touch event type. Visual output associated with the touch operation may be provided via the display.

In some embodiments, the wearable device 100 may have a communication function, or no communication function. For example, the wearable device 100 may send the acquired ECG signal to a network side or other devices connected to the wearable device 100, such as a mobile phone, through the communication module, so that the user can view and store the ECG signal on the mobile phone. In some embodiments, the wearable device 100 may include a wireless communication module and/or a mobile communication module, and one or more antennas. The wearable device 100 may implement a communication function through one or more antennas, a wireless communication module, or a mobile communication module. In some examples, the mobile communication module may provide a solution including 2G/3G/4G/5G and the like wireless communication applied on the wearable device 100. The wireless communication module may provide a solution for wireless communication applied to the wearable device 100, including Wireless Local Area Networks (WLANs) (e.g., wireless fidelity (Wi-Fi) networks), Bluetooth (BT), Global Navigation Satellite System (GNSS), Frequency Modulation (FM), Near Field Communication (NFC), Infrared (IR), and the like. One or more antennas may be used to transmit and receive electromagnetic wave signals.

In some embodiments, the mobile communications module may be coupled with one or more antennas. For example, the mobile communication module may receive electromagnetic waves from one or more antennas, filter, amplify, etc. the received electromagnetic waves to obtain electrical signals, and transmit the electrical signals to the processor 103 for processing (e.g., the processor 103 determines whether to provide corresponding outputs in response to the electrical signals). The mobile communication module may also amplify signals processed by the processor 103 and convert the signals into electromagnetic waves for radiation via one or more antennas. In other embodiments, the wireless communication module may also be coupled with one or more antennas. For example, the wireless communication module may receive electromagnetic waves from one or more antennas, filter, amplify, etc. the received electromagnetic waves, and transmit the filtered electromagnetic waves to the processor 103 for processing. The wireless communication module may also amplify signals processed by the processor 103 and convert the signals into electromagnetic waves for radiation via one or more antennas.

In some embodiments, the wearable device 100 may further include a power module, such as a battery, to power various components in the wearable device 100, such as the processor 103, the first electrode, the second electrode, the sensor module 106, and the like. In other embodiments, the wearable device 100 may be further connected to a charging device (e.g., via a wireless or wired connection), and the power supply module may receive electric energy input by the charging device to store electric energy for the battery.

The electrodes 105 may comprise at least two electrodes (simply: electrode set), for example two electrodes (electrode 105A and electrode 105B) in fig. 1B, through which the human body and the wearable device 100 form a conductive loop when a body part of the user is in contact with the electrodes 105. As the electric charge in the human body generates an electric signal in the process of beating the heart of the human body, the electrode 103 can capture the electric signal of the skin of the human body. One or more of the electrodes 105 may be composed of a conductive material (hereinafter, referred to as an electrode material), such as a metal material (e.g., copper, aluminum, iron, cobalt, nickel, etc.), an alloy material (e.g., a chrome copper alloy), a metal oxide (e.g., aluminum oxide copper, etc.), a composite metal, etc., having conductivity, or may also be formed of or include stainless steel (SUS) or diamond-like carbon (DLC), etc., without limitation to the embodiment of the present application.

In some embodiments, a filtering device (e.g., a filter, not shown) may be disposed between the processor 103 and the set of electrodes. The filtering device can filter the electric signals detected by the electrode group. For example, after the electrical signals are collected by the

electrodes

105A and 105B, the electrical signals may be provided to a filtering device, which may filter the electrical signals provided by the

electrodes

105A and 105B using a certain frequency bandwidth. For example, the frequency of the electrical signal detected by the electrode set is in the range of 0.05-150 Hz. The filtering device is configured to filter the human body electrical signals acquired by the electrode group by using a frequency bandwidth of 7-23Hz, so that the frequency of the electrical signals remained after filtering is in the range of 7-23Hz, and the electrical signals outside the frequency bandwidth of 7-23Hz are filtered out. The filter means provide the remaining electrical signals to the processor 103, from which the processor 103 derives physiological parameters of the human body, such as an ECG signal. In other embodiments, the filtering function of the filtering device may be integrated in the processor 103, i.e. the processor 103 filters the electrical signals collected by the electrode set, and then obtains the ECG according to the electrical signals remaining after filtering.

In some embodiments, the processor 103 may determine an appropriate frequency bandwidth based on the current state of the user, and then configure the frequency bandwidth to a filtering device that uses the frequency bandwidth to filter the electrical signals acquired by the electrode set. Wherein the current state of the user may comprise the current motion state, skin state, etc. of the user. For example, the processor 103 may determine the current status of the user according to the sensor data detected by 106, and then select an appropriate frequency bandwidth according to different sensor data, which will be described later.

Fig. 2 shows an example of the wearable device 100 provided in an embodiment of the present application. The wearable device 100 may be a watch or a bracelet. The components or assemblies in the wearable device 100 may be as described with reference to fig. 1A and 1B. A set of electrodes (referred to as an electrode set) may be disposed on the wearable device 100, for example, the electrode set may include an electrode 105A and an electrode 105B. In some embodiments, the electrodes of the electrode set may be disposed on one surface of the wearable device 100. In other embodiments, the electrodes in the electrode set may be disposed on different surfaces of the wearable device 100, and the electrodes disposed on different surfaces of the wearable device 100 may facilitate the user in contacting different body parts with different electrodes. For example, referring to fig. 2, the electrode set may include a first electrode 105A disposed on a first surface 116 of the wearable device 100 and a second electrode 105B disposed on a second surface 118 of the wearable device 100. The user may contact a body part with one or more electrodes on the wearable device 100 (such as the first electrode 105A) and touch other body parts to another one or more electrodes (such as the second electrode 105B). The first and second electrodes may detect electrical signals of a human body, and the processor 103 in the wearable device 100 or in another device connected to the wearable device 100, such as a mobile phone, may determine a physiological parameter of the user, such as an Electrocardiogram (ECG) of the user, from the electrical signals detected by the first and second electrodes. In some embodiments, the electrode set may also include more electrodes, such as a third electrode in addition to the first electrode 105A and the second electrode 105B. The third electrode may be disposed on a different surface than the first and second electrodes, such as the third electrode being disposed on a surface opposite the first surface 116, i.e., a lower surface; alternatively, the third electrode and the first electrode 105A are disposed at different positions on the first surface 116, or the third electrode and the second electrode 105B are disposed at different positions on the second surface 118.

In some embodiments, in order to improve the light and thin feeling of the wearable device 100, the thickness of the electrode may be set to be small, for example, a PVD coating method (also referred to as a PVD deposition method) may be used to coat a thin film material (such as one or more of the electrode materials listed above) on the outer surface of the wearable device 100 to form the electrode. Taking fig. 2 as an example, the electrodes may be PVD deposited on the outer surface of the wearable device 100. The outer surface may be any transparent, translucent, semi-transparent or opaque surface made of an amorphous solid, such as glass, crystalline or crystalline material (e.g., sapphire or zirconia), plastic, or the like.

In some embodiments, the electrodes may be PVD deposited on an outer surface of the housing of the wearable device 100, or PVD deposited on a carrier on the housing of the wearable device 100. In some embodiments, the carrier may be any suitable structure capable of supporting an electrode, which may be "formed on" or attached to the carrier. In some embodiments, the carrier may be an optically transparent material having any shape, or may be made of a different material, including an opaque material. In some embodiments, the carrier may be any shape. If the electrode PVD is deposited on an outer surface of a housing of the wearable device 100, electrical contacts may be provided on the outer surface in the area covered by the electrode (e.g., the area covered by the electrode on the outer surface is a conductor) through which the electrode may be connected to components internal to the wearable device 100 (e.g., the processor 103). If the electrode PVD is deposited on a carrier on the housing of the wearable device 100, the electrode material may be wrapped around the edges or the perimeter of the carrier, e.g., the electrode may be formed on an outer surface of the carrier, where electrical contacts are provided, which may be connected to other carriers containing (filled or coated with) conductive material, which may be connected to other components within the wearable device 100 (e.g., the processor 103) through vias in the housing.

Fig. 3 shows other examples of the wearable device 100 provided by an embodiment of the present application. The wearable device 100 may be a watch or a bracelet. As shown in fig. 3(a), the electrode 105A is disposed on the upper surface (opposite to the lower surface, the lower surface is the surface where the wrist of the human body contacts) of the wearable device 100, and the electrode 105B is disposed on the lower surface of the wearable device 100, and therefore is indicated by a dotted line in the figure. For example, assuming that the user wears the wearable device 100 shown in fig. 3(a) on the left wrist, the left wrist is in contact with the electrode 105B on the lower surface of the wearable device 100, and the user can use the finger of the right hand to contact the electrode 105A on the upper surface to realize ECG detection. It should be understood that assuming that the wearing device 100 shown in fig. 3(a) is worn by the right wrist of the user, the right wrist may be in contact with the electrode 105B of the lower surface of the wearing device 100, and the user may be in contact with the electrode 105A of the upper surface using the fingers of the left hand to enable ECG detection. Referring to fig. 3(B), the electrode 105A may be disposed on a side surface of the wearable device 100, and the electrode 105B may be disposed on a lower surface of the wearable device 100 (indicated by a dotted line). Referring to fig. 3(c), the electrode 105A and the electrode 105B are disposed on different side surfaces, respectively. Assuming that the user wears the wearable device 100 shown in fig. 3(c) on the left wrist, two fingers of the user's right hand (such as thumb and index finger, or index finger and middle finger, etc.) may be in contact with the

electrodes

105A and 105B, respectively, to enable ECG detection.

Fig. 4 shows other examples of the wearable device 100 according to an embodiment of the present application, and in some embodiments, the wearable device 100 may be a watch. The electrode group may include a first electrode 105A disposed on the lower surface and a second electrode 105B disposed on the crown 401. In some embodiments, second electrode 105B may be disposed on upper surface 120 of crown 401, or on side surface 122 of crown 401. The lower surface opposite the upper surface 120 is the surface that contacts the side 116 of the wearable device 100. The crown 401 may be made of conductive or have a conductive surface. The conductive portion of crown 401 may be connected to a conductive shaft 402 (e.g., a rotatable shaft), which shaft 402 extends through an opening in the housing to the interior of the housing. Electrode 105B may be connected to other components within (e.g., processor 103) through conductive portions in crown 401 and shaft 402. In some embodiments, a processor (e.g., processor 103) of the wearable device 100 may be used to determine a physiological parameter of the user based on electrical signals detected at various electrodes (e.g., at

electrodes

105A, 105B). In some embodiments, the physiological parameter may include an ECG of the user. For example, taking the wearable device 100 shown in fig. 4 as an example, the outer surface (e.g., the lower surface) of the wearable device 100 may have a first electrode 105A and may have a second electrode 105B on the crown 401, and the user fastening the wearable device 100 to their wrist may bring the first electrode 105A into contact with the skin on the user's wrist. To acquire the ECG, the user may touch the second electrode 105B on crown 401 with a finger on their other hand. In other embodiments, more electrodes are disposed on the wearable device 100, e.g., a third electrode is included in addition to the first electrode 105A and the second electrode 105B, e.g., the third electrode can be disposed on the upper surface of the wearable device 100. In this case, in the case where the user is in contact with the first electrode and the second electrode, the wearable device 100 may derive the ECG from the first electrical signal detected by the first electrode and the second electrical signal detected by the second electrode; alternatively, in the case where the user is in contact with all of the first electrode, the second electrode, and the third electrode, the wearable device 100 may derive the ECG from a first electrical signal detected by the first electrode, a second electrical signal detected by the second electrode, and a third electrical signal detected by the third electrode.

Fig. 5A-5B illustrate an example of a watch 500 provided by an embodiment of the present application. The watch 500 may be an example of the wearable device 100 described with reference to fig. 1A-4. As shown in fig. 5A, a watch 500 may include a watch body 502 and a watch band 504. Watch body 502 may include an input device such as crown 510 or button 512. It should be understood that in fig. 5A-5B, only a portion of watchband 504 is shown (i.e., only the portion of watchband 504 that is attached to watch body 502 is shown).

The watch body 502 may include a housing 506. The housing 506 may be a single housing member, or may be made up of more than two housing members. For example, the housing 506 may include a front side housing member 506a, the front side housing member 506a facing away from the user's skin when the watch 500 is worn by the user (see fig. 5A), and the housing 506 may also include a rear side housing member 506B (or back cover), i.e., a housing facing the user's skin (see fig. 5B). One or more of the housing members may be metal, plastic, ceramic, crystal or other types of housing members, combinations of these materials, or the like.

As shown in fig. 5A, the housing 506 (e.g., the front side housing member 506a) may be provided with an opening into or onto which the cover 508 may be attached. A cover 508 may be positioned over the display within the housing 506. In some embodiments, the cover 508 may be transparent. The user can see the display through the cover 508. In some embodiments, the display may display the ECG waveform of a user wearing or otherwise using the watch 500, or the display may also display time, icons, etc. information. In some examples, the cover 508 may include a crystal, such as a sapphire crystal, or the cover 508 may be formed of glass, plastic, or other material. In some embodiments, the outer surface of the cover 508 may serve as a means for receiving input (i.e., as an input device) and a means for providing output (i.e., as an output device). For example, the cover 508 may have a touch sensing capability or a pressure sensing capability, for example, a touch sensor or a pressure sensor may be disposed on the cover 508. The user may interact with the watch 500 on the cover 508. As one example, the user may select (or otherwise edit) a graphic on the cover 508 by touching or pressing at the graphic location, etc. In some embodiments, the cover 508 may be a touch display screen.

In some embodiments, the watch body 502 may include at least one input device thereon, such as a crown 510 and buttons 512, or other input devices, such as a scroll wheel, dial, etc., that a user of the watch 500 may manipulate to implement corresponding functions. Taking crown 410 as an example, a user may perform an operation of initiating, determining, etc. by rotating, translating, tilting, touching crown 410, etc. Of course, the user may also perform the operations of starting, determining, etc. through the cover 508 (e.g., touch the display screen).

As shown in fig. 5B, case 506 may include structure for attaching watch band 504 to watch body 502. In some cases, the structure may include a groove or opening through which the end of the watch band 504 may be inserted and attached to the watch body 502. The watch band 504 may be used to secure the watch 500 to a user. In some embodiments, the watch 500 may include a set of electrodes. As shown in fig. 5A and 5B, the electrode group may include a first electrode 516 provided on the rear side case member 506B, and a second electrode 518 provided on the crown 510 and the button 512. The first and

second electrodes

516, 518 may be connected with the internal processor 514 to sense physiological parameters (e.g., ECG) of a user wearing the watch 500 or otherwise contacting the first and second electrodes.

In some embodiments, the electrode 516 may be formed (e.g., PVD deposited, plated, or otherwise) on the rear housing member 206 b. If the rear housing member 506b is not electrically conductive, the electrode 516 may be formed directly on the rear housing member 506b and the through-hole is connected to circuitry (e.g., the processor 514) inside the watch body 502. The through hole may penetrate the rear side housing member 506 b. If the rear side housing member 506b is electrically conductive, the electrode 516 may be separated from the rear side housing member 506b by an insulator or insulating layer. For example, the rear case member 206b is provided with a projection insulated from the rear case member 206b, and the electrode 516 may be attached to the projection. The interior of the boss may include a conductor, the exterior of which is separated from the rear housing member 506b by an insulator, and an electrode formed on the boss, which may be connected to other components (such as the processor 514) inside the watch 500 by the conductor inside the boss.

In some embodiments, electrode 518 on crown 510 or button 512 may be a conductive surface of crown 510 or button 512. For example, the entire outer surface of crown 510 or button 512 is a conductor that can serve as electrode 512. For another example, crown 510 or button 512 may be provided with a conductive portion (e.g., a core or insert) and the outer surfaces of crown 510 and button 512 form electrode 518. For example, when the front case member 506a is conductive, the crown 510 or the button 512 (or a conductive part thereof) may be insulated from the front case member 506a by an insulator, and the electrode 518 may be formed on the outer surface of the crown 510 or the button 512 and connected to other parts (e.g., the processor 514) inside the watch 500 through a conductive part inside the crown 510 or the button 512.

In some embodiments, the watch 500 may lack a display, crown 510, or buttons 512. For example, the watch 500 may include an audio input or output interface, a touch input interface, a tactile (force) input or output interface, an input or output interface that does not require a display, a crown 510 or buttons 512, or the like. When the watch 500 does not have a display, the front of the watch 500 may be covered by a cover 508, or by a metal or other type of case member, and in these embodiments, the electrodes 518 on the crown 510 or buttons 512 may be replaced by electrodes on the front of the watch body 502, or electrodes may be provided on the front of the watch body 502 in addition to the electrodes 518 on the crown 510 or buttons 512 and the electrodes 516 on the back. The user may touch the electrodes on the front side with a finger, specifically which electrodes on the watch 500 are touched, which may be determined by the user based on preference.

Fig. 6 shows another example of an electronic timepiece 600 according to an embodiment of the present application. The watch 600 may be an example of the wearable device 100 described with reference to fig. 1A-4. The watch 600 may include a watch body 602 and a band 604. It should be understood that fig. 6 only shows a portion of the band 604 (i.e., only the portion of the band 604 that is attached to the watch body 602). The watch 600 of fig. 6 includes more components than the watch 500 shown in fig. 5A-5B, such as providing or exposing more components on the back housing member 605 of the watch 600. For example, the back side housing member 605 of the watch 600 may include the electrode 616 thereon, and in some embodiments, the electrode 616 may have a circular shape and may be PVD deposited on the back side housing member 605. A sensor subsystem 606 may also be included on the back housing member 605, and the sensor subsystem 606 may include a temperature sensor, a Bio-z sensor, a PPG sensor, and the like. Of course, sensor subsystem 606 may also include other sensors such as accelerometers, etc. Taking the PPG sensor as an example, the PPG sensor may comprise an optical component. The optical assembly may include one or more windows 608,610,612,613 in the backside housing member 605. Each of windows 608,610,612,613 may pass at least one wavelength of light. In some cases, each of windows 608,610,612,613 may have a semicircular shape, or other shape. The window may be formed of a crystal, glass, plastic, or other material that may transmit at least one wavelength of light emitted or received by sensor subsystem 606.

As an example, FIG. 6 shows windows 608,610 and window 612,613 aligned along a first axis that may divide rear side case member 602 into two halves (e.g., two halves of equal area). In some embodiments, each pair of windows 608/610, or windows 612/613, that form a circular area may include a first window under which one or more optical transmitters are placed and a second window under which one or more optical receivers are placed. One or more light blocking walls are disposed between each window, e.g., the light blocking walls may be positioned between one or more light emitters and one or more light receivers to isolate the emitted light from the received light. In some embodiments, exemplified by a pair of windows 608/610, one or more optical transmitters are positioned below window 608 and one or more optical receivers are positioned below window 610. For example, light emitted by one or more light emitters below window 608 may impinge on the interior of a human body (e.g., a human blood vessel), and light refracted or reflected by the interior of the human body may be captured by one or more light receivers below window 610. Wherein the light emitters may be visible or invisible light emitters. The optical receiver may be coupled to the processor 614. For example, the optical receiver may convert the received optical signal into an electrical signal and then generate a physiological parameter, such as heart rate, based on the electrical signal.

In some embodiments, the rear side housing member 605 may include a transparent cover (e.g., a cover including a crystal, such as sapphire crystal, or glass, or plastic, etc.) and may be flat or planar (as shown) or may be curved or non-planar. In other embodiments, the rear side housing member 605 may be an opaque substrate, such as a metal or plastic substrate, and one or more windows 608,610,612,613 (e.g., transparent windows) may fit into openings in the substrate. The electrodes 616 may be mounted in other openings. In some embodiments, the electrode 616 or one or more windows 608,610,612,613 may be formed on an outwardly protruding protrusion (the material of the protrusion may be different from the material of the rear housing member 605) on the outer surface of the rear housing member 605, and the embodiments are not limited thereto.

In other embodiments, the wearable device 100 may also be other devices, such as headphones, on different surfaces of which electrode sets may be disposed to enable ECG detection. The headset may be a wired headset, or a wireless headset (such as a bluetooth headset).

In the following embodiments of the present application, the wristwatch 600 shown in fig. 6 will be taken as an example. In some embodiments, a first electrode 616 is disposed on the lower surface of the watch 600 and a second electrode 618 is disposed on the button 612. Assume that the user wears the watch 600 with the left wrist. The user's left wrist may be in contact with a first electrode 616 on the watch 600 and other body parts of the user (such as the finger of the right hand) may be in contact with a second electrode 618 on the button 612. The first electrode 616 detects a first electrical signal. The second electrode 618 detects a second electrical signal. The first electrical signal and the second electrical signal both have a frequency. The watch 600 may derive a physiological parameter of the user, such as the user's ECG, from the detected first and second electrical signals. The user's ECG is taken as an example below.

In some embodiments, the watch 600 may turn on the function of automatically detecting ECG. After the watch 600 starts the auto-detect ECG function, components of the watch 600 related to detecting the ECG function, such as the first electrode 616, the second electrode 618, all or a portion of the sensors in the sensor subsystem 606 (e.g., PPG sensors, motion sensors, etc., related to the ECG detection function), etc., are enabled. For example, the power module in the watch 600 may continuously and continuously provide power to the components to enable the components. Possible implementations of the watch 600 enabling the automatic detection of the ECG function will be described later.

In some embodiments, after the watch 600 initiates the ECG auto-detection function, the watch 600 may obtain the ECG whenever a body part of the user is in contact with the first and

second electrodes

616, 618 such that the first and

second electrodes

616, 618 detect an electrical signal.

In some embodiments, the user may perform various behavioral activities (e.g., fitness, sleeping, etc.) while wearing the watch 600. To improve the accuracy of the obtained ECG, when different parts of the user's body are in contact with the first electrode 616 and the second electrode 618, the first electrode 616 and the second electrode 618 may detect electrical signals, for example, when the user's left wrist is in contact with the first electrode 616 and the user's right index finger is in contact with the second electrode 618, the watch 600 (e.g., the processor 614 in the watch 600) may select an appropriate operating mode according to the user's current status, and the frequency bandwidth of the watch 600 (e.g., the frequency bandwidth used by the filtering device in the watch 600 to filter the electrical signals collected by the first electrode and the second electrode) is different in the different operating modes. Wherein the current state of the user may comprise the current motion state, skin state, etc. of the user. For example, the watch 600 may determine the current state of the user from sensor data detected by the sensor subsystem 606 and select an appropriate frequency bandwidth based on the different sensor data. The following embodiments describe examples of the processor 614 determining the appropriate frequency domain bandwidth from the sensor data.

In some examples, a Bio-Z sensor, i.e., a Bio-impedance sensor, may be included in sensor subsystem 606, and a correspondence between impedance value Z and frequency domain bandwidth, one of which is an example, is stored in watch 600, see table 1.

Impedance value Z	Bandwidth in frequency domain
		Less than Z1	0.5-40Hz
Z1 is not less than Z2	0.05-150Hz
		Greater than Z2	7-23Hz

TABLE 1

As previously described, the Bio-impedance value detected by the Bio-z sensor may reflect a skin condition of the human body, e.g., when the Bio-z sensor is disposed on the first electrode or the second electrode, the Bio-z sensor may detect a condition of the skin of the user (e.g., the skin in contact with the first electrode or the second electrode) when a body part of the user is in contact with the first electrode or the second electrode. For example, when the Bio-z sensor detects a large Bio-impedance value, it indicates that the human skin is dry, such as the skin has stains and heavy cutin; when the Bio-z sensor detects a small Bio-impedance value, it indicates that the human skin is wet, such as sweating, water stain, etc. Dirt, cutin or water stain on human skin can all influence the distribution of electric charge on human skin, and then influence the signal of telecommunication that first electrode and second electrode detected, and under this condition, only the signal of telecommunication of less frequency channel is available in all the signal of telecommunication that first electrode and second electrode detected, and the signal of telecommunication of other frequencies is the clutter, and the existence of clutter will influence the formation of ECG. Thus, when processor 614 determines that the impedance value detected by the Bio-Z sensor is less than Z1 (indicating that the skin is too dry), the frequency domain bandwidth corresponding to Z1, i.e., 0.5-40Hz, can be determined from Table 1. When the processor 614 determines that the impedance value detected by the Bio-Z sensor is in the range of Z1-Z2, the corresponding frequency domain bandwidth, i.e., 0.05-150Hz, can be determined according to table 1. When processor 614 determines that the Bio-Z sensor detects an impedance value greater than Z2 (indicating that the skin is water-stained), the frequency domain bandwidth corresponding to Z2, i.e., 7-23Hz, may be determined from table 1.

It should be noted that, in the present application, the frequency bandwidth corresponding to each impedance value range may be an empirical value determined according to experiments, and the embodiment of the present application is not limited. It should be noted that any specific value range (e.g., 0.05 to 150Hz, 0.5 to 40Hz, 7 to 23Hz, etc.) given herein is only an example, and is provided for fully explaining the principle and practical application of the present application, and does not constitute a limitation to the present application. Many modifications and variations are possible in light of the above teaching, such as a simple modification of the value ranges, and are within the scope of the invention.

In other examples, a PPG sensor may also be included in sensor subsystem 606, and watch 600 (e.g., a memory) stores a correspondence between a heart rate value and a frequency domain bandwidth, one of which is an example, see table 2.

Collected heart rate	Bandwidth in frequency domain
		Less than threshold 1	0.05-150Hz
1 is equal to or greater than threshold value and 2 is equal to or less than threshold value	0.5-40Hz
		Greater than threshold 2	7-23Hz

TABLE 2

In some embodiments, the PPG sensor may sense a current heart rate value of the user, which may reflect the current physical state of the user, e.g. when the heart rate is too high, indicating excessive movement of the user, etc. Typically, the electrical signals detected by the first and second electrodes are affected by the user in the event of excessive motion, in which case only a relatively small number of frequency bands of all the electrical signals detected by the first and second electrodes are available, and other frequencies of the electrical signals are clutter, the presence of which will affect the generation of the ECG. Therefore, when the processor 614 determines that the heart rate acquired by the PPG sensor is less than the threshold 1 (indicating that the user is in a relatively still state), it may determine that the frequency domain bandwidth is 0.05-150Hz according to table 2. When the processor 614 determines that the heart rate acquired by the PPG sensor is greater than or equal to threshold 1 and less than threshold 2, it may determine that the frequency domain bandwidth is 0.5-40Hz according to table 2. When processor 614 determines that the heart rate acquired by the PPG sensor is greater than threshold 2 (indicating excessive user movement), the frequency domain bandwidth may be determined to be 7-23Hz according to table 2.

In other examples, a pressure sensor may also be included in sensor subsystem 606. The correspondence between pressure and frequency domain bandwidth, see table 3, is stored in the watch 600 (e.g., memory) as an example of such correspondence.

Pressure value	Bandwidth in frequency domain
		Less than P1	0.5-40Hz
P1-2 ratio	0.05-150Hz
		Greater than P2	7-23Hz

TABLE 3

As previously mentioned, a pressure sensor may be used to sense the pressure signal. For example, when the pressure sensor is disposed on the first electrode or the second electrode, the pressure sensor may detect a contact pressure of the body part of the user with the first electrode or the second electrode. The larger the pressure signal detected by the pressure sensor is, the larger the pressure (touch strength or touch force) between the user and the first electrode and/or the second electrode is (the pressing between the user's body part and the first electrode and/or the second electrode is) is (the smaller the pressure signal detected by the pressure sensor is), the smaller the pressure (touch strength or touch force) between the user and the first electrode and/or the second electrode is (the poor contact between the user's body part and the first electrode and/or the second electrode is) is (the lower the pressure signal detected by the pressure sensor is). In these cases, only a few frequency bands of the electrical signals detected by the first and second electrodes are available, and other frequencies of the electrical signals are clutter, the presence of which will affect the generation of the ECG. Therefore, when the processor 614 determines that the pressure value detected by the pressure sensor is less than P1, it can determine that the corresponding frequency domain bandwidth is 0.05-150Hz according to table 3. When the processor 614 determines that the pressure value detected by the pressure sensor is within the range from P1 to P2, the corresponding frequency domain bandwidth can be determined to be 0.5-40Hz according to table 3. Processor 614 determines that the pressure value detected by the pressure sensor is greater than P2 and may determine the corresponding frequency domain bandwidth to be 7-23Hz according to table 3.

In some examples, the sensor subsystem 606 may further include a capacitance sensor, and the watch 600 (e.g., a memory) stores a correspondence between the capacitance and the frequency domain bandwidth, as shown in table 4, which is an example of the correspondence.

Capacitance value	Bandwidth in frequency domain
		Less than C1	0.5-40Hz
C1-C2	0.05-150Hz
		Greater than C2	7-23Hz

TABLE 4

As previously mentioned, the capacitive sensor may be disposed on the first electrode and/or the second electrode, and the capacitive sensor may detect a capacitance between the human body and the first electrode and/or the second electrode when the user's body part is in contact with the first electrode and/or the second electrode. When the capacitance detected by the capacitance sensor is too large or too small, the fact that the human body is in poor contact with the first electrode and/or the second electrode is indicated; when the capacitance detected by the capacitance sensor is moderate, it is indicated that the human body is in good contact with the first electrode and/or the second electrode. Thus, when processor 614 determines that the value detected by the capacitive sensor is less than C1, the corresponding frequency domain bandwidth may be determined to be 0.5-40Hz according to Table 4. When processor 614 determines that the value detected by the capacitive sensor is greater than C2, the corresponding frequency domain bandwidth may be determined to be 7-23Hz according to table 4. When the processor 614 determines that the value detected by the capacitive sensor is within the range of C1-C2, the corresponding frequency domain bandwidth may be determined to be 0.05-150Hz according to table 4.

In some examples, an angular velocity sensor may also be included in sensor subsystem 606. The watch 600, such as a memory, stores a correspondence between angular velocity and frequency domain bandwidth, an example of which is shown in table 5.

Angular velocity	Bandwidth in frequency domain
		Less than A1	0.05-150Hz
A1 is not less than A2	0.5-40Hz
		Greater than A2	7-23Hz

TABLE 5

In some embodiments, the angular velocity sensor may reflect the current motion state of the user, and thus, when the processor 614 determines that the angular velocity sensor detects a value less than a1, the corresponding frequency domain bandwidth may be determined to be 0.05-150Hz according to table 5. Processor 614 determines that the value detected by the angular velocity sensor is greater than a2 and may determine that the corresponding frequency domain bandwidth is 7-23Hz according to table 5. When the processor 614 determines that the value detected by the angular velocity sensor is within the range of a1-a2, the corresponding frequency domain bandwidth may be determined to be 0.5-40Hz according to table 5.

In some embodiments, the watch 600 (e.g., the processor 614 in the watch 600) may select an appropriate frequency bandwidth based on the current state of the user, may consider only the state of the watch 600 (e.g., the motion state), or only the current state of the user, such as the body part of the user in contact with the first and second electrodes (e.g., the skin state, contact with the first and/or second electrodes, etc.); alternatively, a combination of the movement state of the watch 600 and the current skin state of the user, the contact of the user's body part with the first and second electrodes, and the like may be considered. For example, the impedance value detected by the watch 600 via the Bio-Z sensor, the angular velocity value detected by the angular velocity sensor, and the frequency bandwidth determined to be 7-23Hz when the watch 600 (e.g., the processor 614 in the watch 600) determines that the impedance value is greater than Z2 and the angular velocity value is also greater than a 2. For another example, the impedance value detected by the watch via the Bio-Z sensor and the pressure value detected by the pressure sensor, and when the watch 600 (e.g., the processor 614 in the watch 600) determines that the impedance value is greater than Z2 and the pressure value is also greater than P2, the frequency bandwidth is determined to be 7-23 Hz.

In some embodiments, after the processor 614 determines the appropriate frequency domain bandwidth based on the sensor parameters, the electrical signals detected by the first and

second electrodes

616, 618 may be filtered based on the frequency domain bandwidth. For example, taking the processor 614 to determine the frequency domain bandwidth to be 7-23Hz, the frequency of the electrical signal detected by the first electrode 616 is 65-150Hz, and the frequency of the electrical signal detected by the second electrode 618 is 0.05-120 Hz. The processor 614 may filter out electrical signals other than 7-23 Hz. In some examples, the electrical signal detected by the first electrode 616 may be (v1, t1), the electrical signal detected by the second electrode 618 may be (v2, t 2); wherein v1 and v2 represent voltages, t1 and t2 represent times, t1 is the time when the first electrode 616 acquires the electric signal v1, and t2 is the time when the second electrode 618 acquires the electric signal v 2. Thus, the processor 614 obtains the voltage versus time curve, and thus the frequency domain versus time curve, i.e., the ECG waveform.

In the above embodiment, the body part of the user is in contact with the first electrode 616 and the second electrode 618, the first electrode 616 detects the first electrical signal, the second electrode 618 detects the second electrical signal, the processor 614 selects an appropriate frequency bandwidth according to the current state of the user, and then processes the first signal and the second signal according to the selected frequency bandwidth. In other embodiments, the initial frequency bandwidth is stored in the watch 600, for example, the initial frequency bandwidth may be a default frequency bandwidth, or a frequency bandwidth used by the watch 600 when the ECG was last detected, and so on. After the first electrode 616 and the second electrode 618 detect the electrical signal, the processor 614 may determine whether the initial frequency bandwidth needs to be adjusted according to the current state of the user; if so, the processor 614 adjusts the initial frequency bandwidth and obtains the ECG signal using the adjusted frequency domain bandwidth (e.g., filter the first electrical signal and the second electrical signal using the adjusted frequency bandwidth and then obtain the ECG using the filtered electrical signals); if not, the processor 614 derives the ECG signal using the initial frequency bandwidth.

For example, in the case where the sensor subsystem 606 includes an angular velocity sensor, the processor 614 may decrease the range of the initial frequency bandwidth when determining that the value detected by the angular velocity sensor is large. The processor 614 may increase the range of the initial frequency bandwidth when it determines that the value detected by the angular velocity sensor is small. It should be noted that the amplitude of decreasing \ increasing the initial frequency bandwidth may be set by default or customized by a user, and the embodiment of the present application is not limited.

For another example, when the sensor subsystem 606 includes a pressure sensor, the processor 614 may decrease the range of the initial frequency bandwidth when determining that the pressure value detected by the pressure sensor is larger. The processor 614 may increase the range of the initial frequency bandwidth when it determines that the pressure value detected by the pressure sensor is small.

In other embodiments, after the watch 600 initiates the ECG auto-detection function, a body part of the user contacts the first and second electrodes on the watch 600. The first electrode detects a first electrical signal and the second electrode detects a second electrical signal. Processor 614 may filter the electrical signals acquired by the first and second electrodes using an initial frequency domain bandwidth and then generate an initial ECG signal based on the filtered electrical signals. Processor 614 may determine from the sensor data detected by sensor subsystem 606 whether the initial ECG is accurate, adjust the initial frequency domain bandwidth if not, then acquire a new ECG based on the adjusted frequency bandwidth, and if the new ECG is not accurate, may again adjust the frequency domain bandwidth until the acquired ECG is accurate. The following describes possible implementations of the processor 614 in determining whether the ECG is accurate based on the sensor data.

For example, fig. 7 shows a schematic diagram of an initial ECG waveform obtained by processor 614 using an initial frequency bandwidth. Processor 614 determines the number of peaks or troughs contained in the initial ECG waveform per unit time duration (e.g., 5 seconds, 10 seconds, 20 seconds, etc.), denoted as N. In the case where the sensor subsystem 606 includes a PPG sensor, the processor 164 may obtain a human heart rate value, denoted as M, from the PPG sensor. Processor 614 determines whether the difference between M and N is greater than a threshold, if so, determines that the ECG is inaccurate, and if not, determines that the ECG is accurate. When the processor 164 determines that the ECG is inaccurate, the initial frequency domain bandwidth may be adjusted and a new ECG acquired again until the processor 163 determines that the difference between the heart rate value detected by the PPG sensor and the number of peaks or troughs in the unit time duration derived from the ECG is less than or equal to the threshold.

In other embodiments, the user performs various types of activity (e.g., running, lying still, etc.) while wearing the watch 600. After the body part of the user is in contact with the first electrode and the second electrode, the first electrode detects a first electric signal, and the second electrode detects a second electric signal. The watch 600 may determine whether to respond to the first electrical signal and the second electrical signal (e.g., derive an ECG from the first electrical signal and the second electrical signal) based on the current state of the user. Wherein the current state of the user may comprise the current movement speed of the user, the skin state, etc. In some examples, processor 614 may determine whether to respond to the first and second electrical signals (e.g., derive an ECG from the first and second electrical signals) from sensor data detected by sensor subsystem 606.

For example, a Bio-z sensor may be included in sensor subsystem 606. Assuming that the processor determines that the body impedance value detected by the Bio-z sensor is small, such as less than threshold 1 (indicating more water damage on the skin of the body, such as sweating, wet water, etc.), it may not respond to the first electrical signal and the second electrical signal. In some embodiments, the processor may output a prompt without responding to the first signal and the second signal, for example, the prompt may be "body surface water stain is too much, cannot detect" or the like. In some embodiments, the prompt message may be a text, image, etc. message on the display, or a voice message played by a speaker, etc. Assuming that the processor determines that the body impedance value detected by the Bio-z sensor is appropriate (e.g., within a range of threshold 1 to threshold 2), a physiological parameter, such as an ECG signal, may be derived in response to the first and second electrical signals, e.g., based on the first and second electrical signals.

As another example, a motion sensor, such as an angular velocity sensor, may be included in sensor subsystem 606. In some embodiments, the watch 600 may establish a coordinate system (e.g., a two-dimensional coordinate system or a three-dimensional coordinate system), for example, the watch 600 may establish a coordinate system with a certain point (e.g., a point on a center point or an edge of a display screen, or a point on a bezel of the watch, etc.) as an origin, and the angular velocity sensor may detect a rate of change of an angle between a direction of gravity of the watch 600 and one or more axes of an x-axis, a y-axis, and a z-axis in the coordinate system. Fig. 8 shows a schematic diagram of a watch building coordinate system provided by an embodiment of the present application. As shown in fig. 8, a user wears a watch (e.g., watch 600). The watch 600 constructs a three-dimensional coordinate system at a point on the edge of the display screen and the angular velocity sensor detects the rate of change of the angle between the direction of gravity and one or more of the x, y and z axes. When the processor 614 determines that the angular velocity sensor detects that the rate of change of the angle between the direction of gravity and the one or more axes is not 0, it determines that the watch 600 is in motion. When the processor 614 determines that the shift speed of the angle between the gravity method detected by the angular velocity sensor and any one of the axes is 0, it determines that the watch 600 is in a stationary state.

In some embodiments, the processor 614 may be responsive to the first and second electrical signals (e.g., to derive the physiological parameter from the first and second electrical signals) when determining that the watch 600 is in a stationary state based on the values detected by the angular rate sensor. In other embodiments, the processor 614 may not respond to the first electrical signal and the second electrical signal when determining that the watch 600 is in the motion state from the values detected by the angular velocity sensor. In some embodiments, the watch 600 may output a reminder when it is not responsive to the first electrical signal and the second electrical signal, such as the reminder may be "go undetected while moving, please remain stationary," or the like.

In other embodiments, the processor 614 may be responsive to the first and second electrical signals, such as to derive a physiological parameter, such as an ECG signal of the user, from the first and second electrical signals, when the processor 614 determines that the value detected by the angular velocity sensor is greater than 0 and less than the threshold value. The processor 614 may not respond to the first and second electrical signals when it determines that the value detected by the angular velocity sensor is greater than the threshold value. That is, when the watch 600 detects that the motion amplitude is small, the ECG signal may also be obtained, and when the watch 600 detects that the motion amplitude is large, a prompt message may be output to prompt the user that the motion amplitude is too large.

As another example, a pressure sensor may be included in sensor subsystem 606. When the processor 614 determines that the pressure value detected by the pressure sensor is less than the threshold value, a physiological parameter, such as an ECG, may be generated in response to the first and second electrical signals, such as from the first and second electrical signals. The processor 614 may not respond to the first electrical signal and the second electrical signal when it determines that the pressure value detected by the pressure sensor is greater than the threshold value. In some embodiments, the watch 600 may output a prompt message, such as "the pressing force is too great, please touch" or the like.

In the above embodiment, after the user's body part is in contact with the first and second electrodes, the watch 600 selects the appropriate frequency bandwidth to obtain the ECG. That is, the selection, adjustment, or determination of the bandwidth frequency is performed after the watch 600 determines that the user's body part is in contact with the first electrode and the second electrode. In other embodiments of the present application, the sensor subsystem 606 may always be enabled after the watch 600 initiates the ECG auto-detection function. Sensor subsystem 606 can constantly detect sensor data in real-time. The processor 614 may select the appropriate frequency bandwidth from the sensor data on a continuous, real-time basis. When the watch 600 determines that a body part of the user is in contact with the first and second electrodes (the first electrode detects the first electrical signal and the second electrode detects the second electrical signal), the processor 614 filters the electrical signals acquired by the first and second electrodes using the frequency bandwidth that has been selected, and then derives an ECG signal based on the filtered electrical signals. In this embodiment, the watch 600 selects the appropriate frequency bandwidth in real time, continuously through the sensor data detected by the sensor subsystem, and once the user's body part is in contact with the first and second electrodes, the watch 600 processes the selected frequency bandwidth, which helps to improve efficiency.

The process of selecting the appropriate frequency bandwidth by the watch 600 according to the sensor data has been described above, and will not be repeated here.

In some embodiments, the processor 614 may assess the health status of the user from the detected ECG signals using machine learning. Alternatively, the processor 614 may send the ECG to a server on the network side or an electronic device such as a mobile phone bluetooth-connected to the wearable device 100 through the wireless communication module or the mobile communication module, and the server or the mobile phone evaluates the health status of the user according to the ECG. Take the example of wearable device 100 using machine learning to assess the health status of the user. The wearable device 100 may use the stored model to assess the health status of the user. Wherein the model may be a functional relationship including input parameters, model parameters, and output parameters. For example, after the wearable device 100 obtains the ECG, the ECG can be input into the model, i.e., the ECG is used as an input parameter of the model, and the model is operated to obtain an output result, i.e., the health status information (such as the text information shown in fig. 9) of the user. To improve the accuracy of the model output results, the wearable device 100 may train the model. The model training may be to input the ECG and health status information corresponding to the ECG to the wearable device 100 (for example, input through an input device or other electronic devices connected to the wearable device 100 such as a network-side server), the wearable device 100 inputs the ECG as an input parameter to the model, and the model is run to obtain an output result, that is, the health status information. The wearable device 100 may compare the output result with the health status information corresponding to the received ECG, and if the difference is large, it indicates that the model accuracy is poor, the model parameter may be adjusted, and the model may be run again until after the model parameter is adjusted, the difference between the output result of the model and the health status information corresponding to the ECG received by the wearable device 100 is small. The process only introduces an ECG as a model input parameter to train the model, in practical applications, several ECGs may be used as the input parameters of the model (for example, several ECGs are input to the wearable device 100, and health status information corresponding to each ECG), several output results are obtained, and if each output result or most of the output results are less different from the received health status, the accuracy of the model is higher. After model training is complete, the wearable device 100 may use the model. For example, after obtaining the ECG based on the first electrical signal and the second electrical signal, the wearable device 100 inputs the ECG into the model, runs the model, and obtains the output result, i.e., the health status information.

It should be noted that, in the prior art, when a user uses a bracelet to detect an ECG, there are many operation steps, for example, lifting a wrist, waking up a screen of the bracelet, clicking to enter a main interface, clicking an ECG APP in the main interface, touching an electrode with a finger, starting measurement, waiting for the end of measurement, and the like. Thus, the user requires more steps to complete the detection of the ECG, resulting in a very inefficient detection of the ECG. Because, in the prior art, the ECG detection function in the bracelet needs to be started after entering the ECG APP, for example, after the bracelet starts the ECG APP, the components (e.g. electrodes) related to the ECG detection function may be powered on to be in an enabled state, and then these components can perform the ECG detection function. When the bracelet exits the ECG APP, the ECG detection function may be turned off, e.g., components related to the ECG detection function (e.g., electrodes) are powered off or disabled. Therefore, each time the user uses the bracelet to detect the ECG, the user needs to manually start the ECG detection function in the device, the operation is complicated, and the response time is long, namely, the longer time is needed to generate the ECG. In some embodiments of the present application, taking the wearable device 100 as the watch 600 shown in fig. 6 as an example, the watch 600 may initiate the function of automatically detecting an ECG. When the watch 600 starts the automatic detection function, the components related to the ECG detection function (such as the first electrode 616 and the second electrode 618) are always in an enabled state, so as long as the body part of the user contacts with the electrodes on the watch 600, the electrodes can acquire the human body electrical signals in a short time, and then the physiological parameters of the human body such as the ECG are obtained. For example, after the watch 600 starts the automatic ECG automatic detection function, when an interface of another application (an interface of a non-ECG APP) or a screen lock interface (a screen lock bright interface or a screen lock dark interface) is currently displayed on the display of the watch 600, as long as a body part of the user contacts with the electrodes (such as the first electrode 616 and the second electrode 618) on the bracelet, the electrodes may acquire the human body electrical signals. Therefore, when the user needs to detect the ECG, the ECG can be conveniently and quickly obtained without too many operation steps, and the user experience is improved.

Illustratively, taking the wearable device 100 as the watch 600 shown in fig. 6 as an example, several possible implementations of the watch 600 for enabling the automatic ECG detection function are described below.

In some embodiments, a control is displayed on the display of the watch 600 and when the watch 600 detects an operation on the control (e.g., an operation detected via the crown 610 or button 612), the auto detect ECG function is initiated. Referring to fig. 9(a), a schematic view of a graphical user interface of a wearable device 100 according to an embodiment of the present application is provided. As shown in fig. 9(a), a main interface 901 is displayed on the display screen of the watch 600, and the main interface 901 may include information of time, weather, and the like, and further include icons of a plurality of applications. Such as an icon for a clock, an icon for a setting, an icon 902 for an ECG. When the watch 600 detects an operation on the icon 902 (e.g., an operation on the icon 902 is detected by the crown 610 or the button 612), the interface 903 is displayed. As shown in fig. 9(b), an electrocardiogram display area and controls 904 and 905 are included in interface 903, and when watch 600 detects an operation on control 905, watch 600 initiates an auto-detect ECG function. The watch 600 activates the auto-detect ECG function and the components associated with the ECG detection function (e.g., electrodes, etc.) are always enabled.

In some embodiments, when any interface is displayed on the display screen of the watch 600 after the watch 600 activates the ECG auto-detection function, the watch 600 displays the ECG whenever an electrical signal is detected by the electrodes. For example, referring to fig. 10(a), the display of the watch 600 displays the main interface, and when the electrodes of the watch 600 detect an electrical signal, the display of the watch 600 displays the ECG, as shown in fig. 10 (b). In other embodiments, the watch 600 may also display user health status information, such as, for example, with reference to FIG. 11, an ECG on the display screen of the watch 600, health status information, etc. In other embodiments, after the display screen of the watch 600 displays the ECG preset time, the display of the ECG may be automatically cancelled, and the specific value of the preset time is not limited in the embodiments of the present application.

In other embodiments, taking the wearable device 100 as a bracelet as an example, the bracelet may be in communication connection with other electronic devices, such as a mobile phone, and when the other electronic devices receive an input operation for starting the automatic ECG detection function, send an instruction to the bracelet, where the instruction is used to instruct the bracelet to start the automatic ECG detection function. It is to be understood that the other electronic device is a portable electronic device such as a smartphone, a tablet, a notebook, various types of wearable devices, an in-vehicle device, and a computer, or a non-portable electronic device such as a desktop computer. Taking a mobile phone as an example, various applications (apps for short) can be installed in the mobile phone, such as a camera application, a short message application, a multimedia message application, various mailbox applications, WeChat (Wechat), Tencent chat software (QQ), WhatsApp Messenger, Link (Line), photo sharing (instagram), Kakao Talk, a nail, and the like. In some embodiments, a specific application may be installed in the mobile phone, and the specific application may be used to control the bracelet to connect with the mobile phone, or control the bracelet to start some functions, and the like, and the specific application may be a special application, or may be one or more of the above applications, for example, the function for controlling the bracelet in the specific application is integrated in the above one or more applications.

For example, see fig. 12, which is a schematic diagram of a graphical user interface of a mobile phone. As shown in fig. 12(a), a home screen 1201 is displayed on the display screen of the mobile phone. The main interface 1201 includes icons of a plurality of applications, including a bracelet icon 1202. The mobile phone detects an operation for the icon 1202, and displays an interface 1203 as shown in fig. 12 (b). The interface 1203 includes four controls of "home", "sport", "find", and "my", and when the mobile phone detects an operation on the "my" control, an interface 1204 as shown in fig. 12(c) is displayed. A "my device" option is displayed in the interface 1204, and the option includes identification information such as "WH's bracelet", "connected", and the like, and a control 1205. After the mobile phone detects an operation on the control 1205, an interface 1206 as shown in fig. 12(d) is displayed. A number of options are included in interface 1206, including an "auto detect ECG" option and a control 1207. After detecting the operation for activating the control 1207, the mobile phone sends an instruction to the bracelet, where the instruction is used to instruct to start an ECG automatic detection function.

In some embodiments, after the bracelet collects the user's ECG, the ECG may be sent to a cell phone, or health status information may be sent to the cell phone, which stores the ECG and health status information. For example, see fig. 13, which is a schematic view of a graphical user interface of a cell phone. As shown in fig. 13(a), a home screen 1301 is displayed on the display screen of the mobile phone. The main interface 1301 includes icons of a plurality of applications, including a bracelet icon 1302. The mobile phone detects an operation for the icon 1302, and displays an interface 1303 shown in fig. 13 (b). The interface 1303 includes identification information of "health status information" and a button 1304. The cellular phone detects an operation to button 1304, and displays interface 1305 as shown in fig. 13 (c). Included in the interface 1305 is a window 1306 of ECG and health status information. Window 1306 includes a button 1307 and a history control 1308. When the mobile phone detects an operation to the button 1307, the window 1306 is closed. After the mobile phone detects an operation on the history control 1308, an interface 1309 shown in fig. 13(d) is displayed. The interface 1309 includes a plurality of pieces of health status information, and the user can view detailed information of each piece of health status information.

In conjunction with the above embodiments and the related drawings, the embodiments of the present application provide an ECG detection method, which can be implemented in a wearable device (e.g., a bracelet, a watch, etc.) as shown in any one of fig. 1A to 6. The wearable device may comprise a processor, a first electrode and a second electrode, reference being made to the preceding description with respect to the processor, the first electrode and the second electrode. As shown in fig. 14, the method may include the steps of:

1401: the first electrode detects a first electrical signal and the second electrode detects a second electrical signal.

In some embodiments, taking the watch 600 shown in fig. 6 as an example, a first electrode (e.g., electrode 616) may be disposed on the lower surface 605 and a second electrode (e.g., electrode 618) may be disposed on the button 612. Assuming that the watch 600 is worn by the user's left wrist, the user's left wrist may be in contact with a first electrode on the lower surface 605 of the watch 600 and the user's right finger may be in contact with a second electrode on the button 612. In this case, the first electrode detects the first electrical signal, and the second electrode detects the second electrical signal.

1402: the processor determines a frequency bandwidth from a current state of the wearable device and/or a state of a user in contact with the first electrode and the second electrode.

In some embodiments, the current state of the wearable device may include a motion state of the wearable device, and the like, and the state of the user in contact with the first electrode and the second electrode may include a skin state of a body part of the user in contact with the first electrode and the second electrode, and/or a contact condition of the user with the first electrode and/or the second electrode, and the like. In some embodiments, the wearable device may detect a self-movement state, a skin state of a body part of the user in contact with the first electrode and the second electrode, a contact condition of the user with the first electrode and/or the second electrode, and the like through the sensor. For example, a motion sensor (e.g., an angular velocity sensor) may be included in the wearable device to detect a motion state of the wearable device. In other embodiments, a bio-impedance sensor, a pressure sensor, a capacitive sensor, or the like may be included in the wearable device. Wherein the bio-impedance sensor may be configured to detect a skin condition of the user (e.g., the bio-impedance sensor is disposed on the first electrode and/or the second electrode and may be configured to detect a skin condition of a body part of the user in contact with the first electrode and/or the second electrode), and the pressure sensor and/or the capacitance sensor may be configured to detect a contact condition of the user with the first electrode and/or the second electrode.

In some embodiments, the wearable device may select an appropriate frequency bandwidth based on its state and/or the state of the user in contact with the first and second electrodes, from which the ECG is then derived. Therefore, no matter what motion state the user is in, such as running, state such as still, can all detect through this wearing equipment and obtain comparatively accurate ECG, convenience of customers uses.

In some embodiments, the order of execution of 1401 and 1402 is not limited. For example, the case of executing 1401 first and then 1402 later is; after the user contacts the first electrode and the second electrode, the wearable device selects an appropriate frequency bandwidth according to the self state and/or the user state (for example, sensor data obtained by the sensor), processes (for example, filters) the electrical signal information detected by the first electrode and the second electrode according to the frequency bandwidth, and obtains the ECG according to the processed electrical signal. For another example, the case of executing 1402 first and then 1401 is: sensors (e.g., motion sensors, bio-impedance sensors, pressure sensors, and/or capacitive sensors) in the wearable device are enabled, and the wearable device determines the appropriate frequency bandwidth in real time from sensor data detected by the sensors. After the user contacts the first electrode and the second electrode and the first electrode and the second electrode detect the electrical signal, the wearable device may process (e.g., filter) the electrical signal information detected by the first electrode and the second electrode according to the determined frequency bandwidth, and then obtain the ECG according to the processed electrical signal.

1403: the processor determines an Electrocardiogram (ECG) from the electrical signals of the first and second electrical signals having a frequency within the frequency bandwidth.

In some embodiments, a filtering device may be included in the wearable device. The filtering device can filter the electric signals detected by the first electrode and the second electrode. For example, after the first electrode and the second electrode acquire the electrical signals, the electrical signals may be provided to a filtering device, and the filtering device may filter the electrical signals provided by the first electrode and the second electrode using a certain frequency bandwidth. For example, the frequency of the electrical signal detected by the first and second electrodes is in the range of 0.05-150 Hz. The filtering device is configured to filter the human body electrical signals acquired by the electrode group by using a frequency bandwidth of 7-23Hz, so that the frequency of the electrical signals remained after filtering is in the range of 7-23Hz, and the electrical signals outside the frequency bandwidth of 7-23Hz are filtered out. The filter means provide the remaining electrical signals to the processor 103, from which the processor 103 derives physiological parameters of the human body, such as an ECG signal.

Generally, the electrical signals generated by the human body have a certain frequency, and the bandwidth of the frequency is in the range of 0.05-150 Hz. When a human body is in a motion state, the respiration of the human body, the motion of the human body, and the like all affect the generation of electrical signals, so that the electrical signals generated by the human body (the frequency range is within 0.05-150Hz) contain more noise. If the device used to detect the ECG generates an ECG from an electrical signal containing clutter, the accuracy of the resulting ECG may be compromised. Therefore, in the embodiment of the present application, the wearable device can select an appropriate frequency bandwidth according to the state of the wearable device and/or the state of the user in contact with the first electrode and the second electrode, and then obtain the ECG according to the frequency bandwidth. Therefore, no matter what motion state the user is in, such as running, state such as still, can all detect through this wearing equipment and obtain comparatively accurate ECG, convenience of customers uses.

The various embodiments of the present application can be combined arbitrarily to achieve different technical effects.

In the embodiments provided in the present application, the method provided in the embodiments of the present application is described from the perspective of a wearable device (such as the watch 600) as an execution subject. In order to implement the functions in the method provided by the embodiments of the present application, the electronic device may include a hardware structure and/or a software module, and the functions are implemented in the form of a hardware structure, a software module, or a hardware structure and a software module. Whether any of the above-described functions is implemented as a hardware structure, a software module, or a hardware structure plus a software module depends upon the particular application and design constraints imposed on the technical solution.

As used in the above embodiments, the terms "when …" or "after …" may be interpreted to mean "if …" or "after …" or "in response to determination …" or "in response to detection …", depending on the context. Similarly, depending on the context, the phrase "at the time of determination …" or "if (a stated condition or event) is detected" may be interpreted to mean "if the determination …" or "in response to the determination …" or "upon detection (a stated condition or event)" or "in response to detection (a stated condition or event)". In addition, in the above-described embodiments, relational terms such as first and second are used to distinguish one entity from another entity without limiting any actual relationship or order between the entities.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

It is noted that a portion of this patent application contains material which is subject to copyright protection. The copyright owner reserves the copyright rights whatsoever, except for making copies of the patent files or recorded patent document contents of the patent office.

Claims

1. an ECG detection method, applied to a wearable device, wherein the wearable device comprises a processor, a first electrode and a second electrode, and the method comprises:

The first electrode detects the first electrical signal, and the second electrode detects the second electrical signal;

The processor judges whether the initial frequency bandwidth needs to be adjusted according to the current state of the user;

If it is determined that the initial frequency bandwidth needs to be adjusted, the processor may use the state of the user who is in contact with the first electrode and the second electrode, or the current state of the wearable device and the relationship between the first electrode and the second electrode. The state of the user in contact with the second electrode determines the frequency bandwidth; wherein the state of the user in contact with the first electrode and the second electrode includes: the state of contact with the first electrode and the second electrode, or , the skin condition of the user's body part in contact with the first electrode and the second electrode;

The processor determines the electrocardiogram ECG according to the first electrical signal and the electrical signal whose frequency is within the determined frequency bandwidth range in the first electrical signal and the second electrical signal.

2. The method of claim 1, wherein the processor determines the frequency bandwidth according to the current state of the wearable device, comprising:

The processor determines the current motion state of the wearable device according to the motion sensor in the wearable device;

The processor determines a frequency bandwidth based on the motion state.

3. The method of claim 1 or 2, wherein the processor determines a frequency bandwidth according to a state of a user in contact with the first electrode and the second electrode, comprising:

The processor determines, according to the impedance value detected by the bio-impedance Bio-z sensor in the wearable device, the skin state of the body part of the user in contact with the first electrode and/or the second electrode;

The processor determines a frequency bandwidth based on the skin condition of the user.

4. The method of claim 1 or 2, wherein the processor determines a frequency bandwidth according to a state of a user in contact with the first electrode and the second electrode, comprising:

The processor determines the contact situation between the user and the first electrode and the second electrode according to the pressure sensor and/or the capacitance sensor in the wearable device;

The processor determines a frequency bandwidth based on the contact condition.

5. The method according to claim 1 or 2, wherein before the first electrode detects the first electrical signal and the second electrode detects the second electrical signal, the method further comprises:

The display screen of the wearable device displays a lock screen black screen interface, a lock screen bright screen interface or a main interface.

6. The method according to claim 1 or 2, wherein, before the first electrode detects the first electrical signal, and before the second electrode detects the second electrical signal, the method further comprises:

Input operation detected;

In response to the input operation, start the ECG automatic detection function;

Wherein, after the wearable device starts the ECG automatic detection function, the first electrode and the second electrode are always in an enabled state.

7. The method of claim 1 or 2, wherein the method further comprises:

The wearable device displays a waveform corresponding to the ECG and health status information corresponding to the ECG.

8. A wearable device, wherein the wearable device comprises a processor, a first electrode and a second electrode;

the first electrode, for detecting the first electrical signal;

the second electrode for detecting a second electrical signal;

The processor is configured to determine whether the initial frequency bandwidth needs to be adjusted according to the current state of the user;

The processor is further configured to, when it is determined that the initial frequency bandwidth needs to be adjusted, according to the state of the user in contact with the first electrode and the second electrode, or the current state of the wearable device and the relationship with the first electrode. The state of the user in contact with an electrode and the second electrode determines the frequency bandwidth; wherein the state of the user in contact with the first electrode and the second electrode includes: the first electrode and the second electrode contact condition, or, the skin condition of the user's body part in contact with the first electrode and the second electrode;

The processor is further configured to determine an electrocardiogram ECG according to the first electrical signal and the electrical signal whose frequency is within the determined frequency bandwidth range in the first electrical signal and the second electrical signal.

9. The wearable device of claim 8, wherein the wearable device comprises a motion sensor;

the motion sensor for detecting the motion state of the wearable device;

The processor is specifically configured to: determine a frequency bandwidth according to the motion state.

10. The wearable device according to claim 8 or 9, wherein the wearable device comprises a bioimpedance Bio-z sensor, and the Bio-z sensor is arranged on the first electrode and/or the second electrode on the electrode;

the Bio-z sensor for detecting the skin condition of the body part of the user in contact with the first electrode and/or the second electrode;

The processor is specifically configured to: determine the frequency bandwidth according to the skin state of the user.

11. The wearable device according to claim 8 or 9, wherein the wearable device comprises a pressure sensor and/or a capacitance sensor; the pressure sensor is arranged on the first electrode and/or the second electrode on, and/or, the capacitive sensor is arranged on the first electrode and/or the second electrode;

the pressure sensor and/or the capacitive sensor for detecting the contact situation of the user with the first electrode and/or the second electrode;

The processor is specifically configured to: determine a frequency bandwidth according to the contact situation.

12. The wearable device according to claim 8 or 9, wherein the wearable device further comprises a display screen;

The first electrode detects the first electrical signal, and before the second electrode detects the second electrical signal, the display screen displays a black screen lock screen interface, a screen lock screen bright screen interface, or a main interface.

13. The wearable device according to claim 8 or 9, wherein the wearable device further comprises an input device, the input device being used for detecting an input operation;

The processor is further configured to: in response to the input operation, start an ECG automatic detection function, so that the first electrode and the second electrode are always in an enabled state.

14. The wearable device according to claim 8 or 9, wherein the wearable device comprises a display screen, and the display screen is used for: displaying a waveform corresponding to the ECG and a health state corresponding to the ECG information.

15. An electronic device, comprising a first electrode and a second electrode, at least one processor and a memory;

the memory for storing one or more computer programs;

One or more computer programs stored in the memory, when executed by the at least one processor, enable the electronic device to implement the method of any one of claims 1 to 7.

16. A computer storage medium, characterized in that, the computer-readable storage medium comprises a computer program, when the computer program is run on an electronic device, the electronic device is made to perform any one of claims 1 to 7. method.