Wearable device and method for physiological signal detection

Abstract

The present application provides a wearable device and a method for physiological signal detection. The wearable device comprises at least two electrodes, wherein the two electrodes can be used to detect an electrocardiogram signal, an electroencephalogram signal, a surface electromyography signal, and the like of a user. According to these physiological signals, the wearable device can identify the current wearing position of the device without requiring manual selection from the user, thereby further simplifying the user's operation process with the wearable device. On the basis of identifying the wearing position, the wearable device can detect a physiological signal corresponding to the wearing position and / or execute a function corresponding to the wearing position. As a result, the wearable device performs operations such as physiological signal detection more efficiently, and the user experience is better.

Description

Methods for wearable devices and physiological signal detection

[0001] This application claims priority to Chinese Patent Application No. 202411824782.0, filed on December 11, 2024, entitled "Wearable Device and Method for Detecting Physiological Signals", the entire contents of which are incorporated herein by reference. Technical Field

[0002] This application relates to the field of terminal device hardware, and more specifically, to a wearable device and a method for detecting physiological signals. Background Technology

[0003] Electrophysiological signals originate from the electrical activity of human tissues and can be used to reflect the functional state and activity level of human cells and tissues. Electrical signals from the heart, brain, and muscles, among others, can be used to monitor a person's health status and assist in the diagnosis of potential diseases.

[0004] Providing a device and method for detecting physiological signals with high detection efficiency and low operational difficulty is of great significance for long-term monitoring of users' health status and early warning of diseases. Summary of the Invention

[0005] This application provides a wearable device that can be worn on at least two different parts of a user's body. The wearable device includes multiple electrodes for detecting the user's physiological signals. Based on the detected physiological signals, the wearable device can identify the currently worn part. This wearable device can automatically identify the wearing part and provide functions associated with that part, simplifying the user's operation process, reducing the difficulty of operating the device, and improving the efficiency of the wearable device in performing physiological data detection and other operations on the user.

[0006] In a first aspect, a wearable device is provided, comprising: a plurality of first electrodes for detecting a first physiological signal; and a processing circuit for determining the wearing position of the wearable device based on the first physiological signal; wherein the first electrodes are electrically connected to the processing circuit.

[0007] In one possible implementation, the number of first electrodes can be two.

[0008] In one possible implementation, the wearable device can be worn on at least two parts of the head, chest, or limbs.

[0009] In one possible implementation, the wearable device can be worn on the wearing area by means of adhesive, binding, or other methods.

[0010] In one possible implementation, the processing circuitry can be a chip, such as a microcontroller unit.

[0011] In one possible implementation, the first electrode may be composed of a conductive material with a transmittance greater than a transmittance threshold, such as indium tin oxide.

[0012] In this technical solution, the wearable device can detect physiological signals from the human body through two electrodes and determine the wearing location accordingly. For devices that can be worn on multiple parts of the body, compared to the method of manual selection by the user, this technical solution simplifies the operation steps of the wearable device, improves the operating efficiency of the wearable device, and to a certain extent reduces power consumption caused by user operation, thus enhancing the user experience.

[0013] In conjunction with the first aspect, in some implementations of the first aspect, the first physiological signal includes at least one of an electrocardiogram signal, an electroencephalogram signal, and a surface electromyogram signal.

[0014] In one possible implementation, the first physiological signal may also include an impedance voltage signal, which can be used to determine the bioimpedance of the wearing site.

[0015] In one possible implementation, the first physiological signal can also be used to determine the user's health status, etc.

[0016] Different physiological signals have different amplitudes and other signal characteristics. By detecting and analyzing these physiological signals, the wearing site of the wearable device can be determined. These physiological signals originate from the human body, and the wearable device does not need to apply additional stimulation to the human body, which helps to reduce the impact of the device on the human body during the process of identifying the wearing site.

[0017] In conjunction with the first aspect, in some implementations of the first aspect, the wearable device further includes a second electrode, the first electrode being used to apply an excitation current to the wearing site; the second electrode being used to detect a second physiological signal, the second physiological signal being used to determine the bioimpedance of the wearing site; and the processing circuit being specifically used to determine the wearing site based on the first physiological signal and the second physiological signal.

[0018] In some scenarios, the aforementioned second physiological signal can also be referred to as an impedance voltage signal.

[0019] In one possible implementation, the first electrode and the second electrode can be arranged linearly, and the second electrode can be located between multiple first electrodes.

[0020] The bioimpedance values ​​of different parts of the human body are different. By using the second physiological signal, which is used to determine the bioimpedance of the wearing site, and the aforementioned first physiological signal to jointly determine the wearing site, it is beneficial to improve the accuracy of wearable devices in identifying the wearing site, improve the reliability of device functions, and enhance the user experience.

[0021] In conjunction with the first aspect, in some implementations of the first aspect, the wearable device further includes a second electrode that serves as a reference electrode for the first electrode.

[0022] In conjunction with the first aspect, in some implementations of the first aspect, the number of the second electrodes is multiple.

[0023] In one possible implementation, the number of second electrodes can be two.

[0024] In conjunction with the first aspect, in some implementations of the first aspect, the processing circuit is also used for time-division switching of the two second electrodes.

[0025] In this technical solution, reusing the second electrode for detecting the second physiological signal as a reference electrode for the first electrode improves the quality of physiological signals acquired by the wearable device. Furthermore, reusing the second electrode reduces the electrode's footprint on the wearable device, contributing to a smaller overall device size. When multiple second electrodes are used, their combined use further reduces noise in the detected physiological signals, improving the signal-to-noise ratio. Time-division switching between the two electrodes reduces energy consumption during multiple electrode usage. Additionally, the two electrodes can be positioned differently, and this time-division switching helps identify more noise signals within the physiological signal, further enhancing the quality of the detected physiological signal.

[0026] In conjunction with the first aspect, in some implementations of the first aspect, the wearable device further includes a photoplethysmography sensor, the second electrode being composed of a transparent conductive material, and the photoplethysmography sensor and the second electrode being stacked along the thickness direction of the wearable device.

[0027] In one possible implementation, the light transmittance of the transparent conductive material is greater than or equal to a preset threshold.

[0028] In this technical solution, by stacking the photoelectric volumetric sensor and the second electrode in the thickness direction of the device, it is beneficial to reduce the area occupied by the sensor and the electrode at the bottom of the wearable device, which to some extent helps to reduce the size of the device.

[0029] In one possible implementation, the processing circuitry includes a programmable amplifier for adjusting the signal processing gain of the physiological signal.

[0030] In conjunction with the first aspect, in some implementations of the first aspect, the first electrode is also used to apply a stimulating current to the wearing site, the stimulating current corresponding to the function acting on the wearing site.

[0031] In one possible implementation, the function includes one or more of the following: sleep aid function, anti-snoring stimulation function, muscle rehabilitation therapy function, and sweating stimulation function.

[0032] In this technical solution, the first electrode that detects the first physiological signal is reused to apply a stimulation current to the wearing site. The implementation of this technical solution is beneficial to reducing the space and area occupied by the electrodes on the wearable device, and is beneficial to reducing the size of the device.

[0033] In conjunction with the first aspect, in some implementations of the first aspect, the wearable device further includes one or more of the following sensors: an accelerometer, a negative temperature coefficient sensor, a polyvinylidene fluoride sensor, a gyroscope, a magnetometer, a pressure sensor, and a capacitive acoustic sensor, which are electrically connected to the processing circuit.

[0034] In one possible implementation, the first electrode and the second electrode of the wearable device can both be stacked with one or more of the aforementioned sensors in the thickness direction of the wearable device. For example, the first electrode and the non-contact sensor in the wearable device can be stacked as described above, and the second electrode and the non-contact sensor in the wearable device can be stacked as described above.

[0035] In this technical solution, wearable devices can include a variety of sensors with different functions, which helps to enrich the functions of the device and improve the user experience.

[0036] In some implementations of the first aspect, the wearable device further includes a cover and a bottom, with the first electrode located on the bottom and the processing circuit located between the cover and the bottom.

[0037] In some implementations of the first aspect, the wearable device further includes a display module located on the cover and electrically connected to the processing circuitry.

[0038] In some implementations of the first aspect, the wearable device further includes a connecting portion connected to the cover portion, and / or the connecting portion connected to the bottom portion, the connecting portion being used for relative fixation of the wearable device to the wearing part.

[0039] Wearable devices can include covers and bottoms for encapsulating electronic components such as electrodes and sensors. This helps protect the internal electronic components from external environmental interference, improving the device's reliability and functional stability. Including a display module on the wearable device allows users to better understand the device's current operating status or usage mode, enhancing the user experience.

[0040] In a second aspect, an electronic device is provided, comprising: a plurality of wearable devices as described in the first aspect and any possible implementation thereof, wherein the plurality of wearable devices are capable of communicating with each other.

[0041] In one possible implementation, multiple wearable devices communicate with each other via wired and / or wireless means.

[0042] Thirdly, a method for detecting physiological signals is provided for use in wearable devices. The method includes: determining a wearing site based on a first physiological signal, the first physiological signal including at least one of an electrocardiogram signal, an electroencephalogram signal, a surface electromyogram signal, and a physiological signal for determining the bioimpedance of the wearing site; and detecting a second physiological signal based on the wearing site.

[0043] In one possible implementation, the wearable device can be worn on at least two parts of the head, chest, or limbs.

[0044] Electrocardiogram (ECG), electroencephalogram (EEG), and surface electromyography (EMG) signals have different amplitude and other signal characteristics. By detecting and analyzing these physiological signals, the wearing site of the wearable device can be determined. These physiological signals originate from the human body, and the wearable device does not need to apply additional stimulation to the human body, which helps to reduce the impact of the wearable device on the human body during the process of identifying the wearing site.

[0045] In some scenarios, the physiological signals used to determine the bioimpedance of the wearing site can also be referred to as impedance voltage signals.

[0046] The bioimpedance values ​​of different parts of the human body vary. By using physiological signals that determine the bioimpedance of the wearing site, as well as the aforementioned electrocardiogram signals, to jointly determine the wearing site, it is beneficial to improve the accuracy of wearable devices in identifying the wearing site, improve the reliability of device functions, and enhance the user experience.

[0047] In conjunction with the third aspect, in some implementations of the third aspect, detecting the second physiological signal based on the wearing location includes: determining a signal processing gain based on the wearing location; and detecting the second physiological signal based on the signal processing gain.

[0048] In conjunction with the third aspect, in certain implementations of the third aspect, detecting the second physiological signal based on the signal processing gain includes: when the wearing site is the chest or limbs, detecting the electrocardiogram signal and / or the surface electromyography signal using a first signal processing gain; and / or, when the wearing site is the head, detecting the electroencephalogram signal using a second signal processing gain; wherein the second signal processing gain is greater than the first signal processing gain.

[0049] In this technical solution, different signal processing gains are used to detect different types of physiological signals. The signal quality of various physiological signals collected by the wearable device can be at a relatively good level, which helps to improve the accuracy of the device in determining the user's health status using these physiological signals, improves the efficiency of the device in determining the user's physical condition, and enhances the user experience.

[0050] In conjunction with the third aspect, in some implementations of the third aspect, the method further includes: activating a first function, which corresponds to the wearing part.

[0051] In one possible implementation, activating the first function includes: accepting a user's action; and activating the first function in response to the action.

[0052] In one possible implementation, activating the first function includes: automatically activating the first function in response to determining the wearing location.

[0053] In one possible implementation, activating the first function includes: receiving information from another electronic device and activating the first function based on that information. In conjunction with the third aspect, in some implementations of the third aspect, before activating the first function, the method further includes: detecting a first scene, the first function also corresponding to the first scene.

[0054] In this technical solution, wearable devices can activate scene-related functions according to the usage scenario, linking the device's functions with the application scenario. This helps improve the efficiency of users using wearable devices and enhances the user experience in specific scenarios.

[0055] In conjunction with the third aspect, in some implementations of the third aspect, before activating the first function, the method further includes: receiving first information, which is used to indicate the activation of the first function and / or the part of the wearable device that needs to be worn.

[0056] In one possible implementation, the first information can be sent by a control device such as a mobile phone or watch used to control the wearable device.

[0057] In this technical solution, the wearable device can receive control information from other devices to activate the corresponding functions. For wearable devices that do not include a display device, the implementation of this solution is beneficial to improving the user's operating efficiency and enhancing the user experience.

[0058] In conjunction with the third aspect, in certain implementations of the third aspect, when the wearing location is the head, the first function includes one or more of the following: sleep quality detection, sleep assistance, snoring or teeth grinding detection, and skin temperature measurement; when the wearing location is the chest, the first function includes one or more of the following: heart rate detection, heart rate variability detection, skin temperature measurement, cardiopulmonary sound detection, and respiratory signal detection; when the wearing location is the limbs, the first function includes one or more of the following: muscle and nerve function detection, motion recognition, muscle therapy, stimulation of sweating, skin temperature measurement, and blood pressure measurement.

[0059] In this technical solution, the wearable device can activate functions corresponding to the wearing location. The implementation of this technical solution helps to simplify the user's operation process of the device, reduces power consumption caused by the user's operation process to a certain extent, and improves the user experience.

[0060] In conjunction with the third aspect, in some implementations of the third aspect, the method further includes: when the first function is enabled, sending second information, the second information being used to indicate the activation of the assistive function and / or the wearing position of the wearable device, the assistive function being related to the first function; and / or, when the first function is completed, sending third information, the third information including the execution result of the first function.

[0061] In one possible implementation, the second information may include one or more of the following: information about a first function, information about a first scenario, information about a first working mode, and information about the wearing part, wherein the first function is applicable to the first scenario and is a function activated by the wearable device in the first working mode.

[0062] In one possible implementation, the second information can be sent to other wearable devices similar to the wearable device, or the second information can be sent to a device used to control the wearable device.

[0063] In one possible implementation, the first scenario is any one of the following: sleep scenario, exercise scenario, health monitoring scenario, muscle therapy scenario, emotion monitoring scenario, etc.

[0064] In this technical solution, the wearable device can communicate with other electronic devices and instruct them to activate auxiliary functions related to the first function. This improves the efficiency of collaborative operation among multiple devices, enhances the usability of the wearable device, and improves the user experience. Limited by the size of the wearable device's display screen, the device sends the execution results of the first function to other devices, allowing users to view more detailed results. This reduces the wearable device's power consumption while simultaneously improving the user experience.

[0065] In conjunction with the third aspect, in some implementations of the third aspect, the method further includes: detecting a second scene; activating a second function, which corresponds to the second scene.

[0066] In one possible implementation, the second function here can be the same as the first function mentioned above. In other words, the second function can correspond to both the second scenario and the wearing location. In other words, the second function can be determined based on the wearing location and the second scenario.

[0067] In one possible implementation, the second scenario may include one or more of the following: sleep scenario, exercise scenario, health monitoring scenario, muscle therapy scenario, and emotion monitoring scenario.

[0068] In this technical solution, wearable devices can activate scene-related functions according to the usage scenario, associating device functions with application scenarios. Different functions of multiple devices can be set in a similar way. The implementation of this technical solution is conducive to realizing collaborative operation of multiple devices, simplifying the user's operation steps in multi-device collaborative operation scenarios, and improving the user experience.

[0069] Fourthly, a method for detecting physiological signals is provided, applied to a wearable device capable of being worn on at least two different body parts. The method includes: in response to an operation of wearing the wearable device on a first body part, displaying a first interface including first information for indicating the first body part, the at least two different body parts including the first body part; receiving a first operation applied to the first interface; displaying a second interface including second information for indicating a first function for acting on the first body part; receiving a second operation applied to the first interface; and performing the first function.

[0070] In this technical solution, the wearable device can automatically identify the wearing part and execute the first function corresponding to the wearing part. The implementation of this technical solution helps to simplify the user's operation process of the device, reduces power consumption caused by the user's operation process to a certain extent, and improves the user experience.

[0071] In conjunction with the fourth aspect, in some implementations of the fourth aspect, before displaying the second interface, the method further includes: detecting a target scene; displaying a third interface including third information used to indicate the target scene; and receiving a third operation applied to the third interface.

[0072] In one possible implementation, the target scenario may include one or more of the following: sleep scenario, exercise scenario, health monitoring scenario, muscle therapy scenario, and emotion monitoring scenario.

[0073] In this technical solution, wearable devices can activate scene-related functions based on the usage scenario, associating device functions with application scenarios. Different functions of multiple devices can be set in a similar manner. Implementing this solution facilitates collaborative operation of multiple devices, simplifies user operation steps in scenarios involving multi-device collaboration, and improves the user experience. Furthermore, for wearable devices that support multiple functions simultaneously, the ability to activate scene-related functions based on the usage scenario reduces user operations and, to some extent, lowers power consumption caused by user actions, further enhancing the user experience.

[0074] In conjunction with the fourth aspect, in some implementations of the fourth aspect, the method further includes: displaying a fourth interface including fourth information for instructing a second device and / or a second function associated with the first function, the second device being used to perform the second function; receiving a fourth operation applied to the fourth interface; and sending instruction information for instructing the second device to perform the second function.

[0075] In one possible implementation, both the first and second functions are applicable to the target scenario.

[0076] In this technical solution, the wearable device can instruct a second function and / or a second device that can perform the first function, and the wearable device can also instruct the second device to perform the second function. The implementation of this technical solution is conducive to realizing the collaborative operation of multiple devices, simplifying the user's operation steps in the scenario of multi-device collaborative operation, and improving the user experience.

[0077] For detailed explanations and descriptions of the beneficial effects of the following technical solutions, please refer to the relevant content in the first to fourth aspects, which will not be repeated here.

[0078] Fifthly, a physiological signal detection device is provided. The device is wearable and includes a processing module for: determining a wearing site based on a first physiological signal, the first physiological signal including at least one of an electrocardiogram signal, an electroencephalogram signal, a surface electromyogram signal, and a physiological signal for determining the bioimpedance of the wearing site; and detecting a second physiological signal based on the wearing site.

[0079] In conjunction with the fifth aspect, in some implementations of the fifth aspect, the processing module is specifically used to: determine the signal processing gain based on the wearing location; and detect the second physiological signal based on the signal processing gain.

[0080] In conjunction with the fifth aspect, in some implementations of the fifth aspect, the processing module is specifically used to: detect the electrocardiogram signal and / or the surface electromyography signal by means of a first signal processing gain when the wearing site is the chest or limbs; and / or, detect the electroencephalogram signal by means of a second signal processing gain when the wearing site is the head; wherein the second signal processing gain is greater than the first signal processing gain.

[0081] In conjunction with the fifth aspect, in some implementations of the fifth aspect, the processing module is also used to: activate a first function, which corresponds to the wearing part.

[0082] In conjunction with the fifth aspect, in some implementations of the fifth aspect, before activating the first function, the processing module is also used to: detect the first scene, the first function corresponding to the first scene.

[0083] In conjunction with the fifth aspect, in some implementations of the fifth aspect, before activating the first function, the processing module is further configured to: receive first information, which is used to indicate the activation of the first function and / or the part of the wearable device that needs to be worn.

[0084] In conjunction with the fifth aspect, in certain implementations of the fifth aspect, when the wearing location is the head, the first function includes one or more of the following: sleep quality detection, sleep assistance, snoring or teeth grinding detection, and skin temperature measurement; when the wearing location is the chest, the first function includes one or more of the following: heart rate detection, heart rate variability detection, skin temperature measurement, cardiopulmonary sound detection, and respiratory signal detection; when the wearing location is the limbs, the first function includes one or more of the following: muscle and nerve function detection, motion recognition, muscle therapy, stimulation of sweating, skin temperature measurement, and blood pressure measurement.

[0085] In conjunction with the fifth aspect, in some implementations of the fifth aspect, the processing module is further configured to: when the first function is enabled, send second information, the second information being used to indicate the activation of the assistive function and / or the wearing position of the wearable device, the assistive function being related to the first function; and / or, when the first function is completed, send third information, the third information including the execution result of the first function.

[0086] In conjunction with the fifth aspect, in some implementations of the fifth aspect, the processing module is also used to: detect a second scene; and enable a second function, which corresponds to the second scene.

[0087] In one possible implementation, the second scenario may include one or more of the following: sleep scenario, exercise scenario, health monitoring scenario, muscle therapy scenario, and emotion monitoring scenario.

[0088] In a sixth aspect, an electronic device is provided, including a processor and a memory storing computer program instructions, the processor being configured to: determine a wearing site based on a first physiological signal, the first physiological signal including at least one of an electrocardiogram signal, an electroencephalogram signal, a surface electromyogram signal, and a physiological signal for determining the bioimpedance of the wearing site; and detect a second physiological signal based on the wearing site.

[0089] In conjunction with the sixth aspect, in some implementations of the sixth aspect, the processor is specifically used to: determine a signal processing gain based on the wearing location; and detect the second physiological signal based on the signal processing gain.

[0090] In conjunction with the sixth aspect, in some implementations of the sixth aspect, the processor is specifically used to: detect the electrocardiogram signal and / or the surface electromyography signal by means of a first signal processing gain when the wearing site is the chest or limbs; and / or, detect the electroencephalogram signal by means of a second signal processing gain when the wearing site is the head; wherein the second signal processing gain is greater than the first signal processing gain.

[0091] In conjunction with the sixth aspect, in some implementations of the sixth aspect, the processor is also used to: activate a first function, which corresponds to the wearing part.

[0092] In conjunction with the sixth aspect, in some implementations of the sixth aspect, before activating the first function, the processor is also used to: detect a first scene, the first function corresponding to the first scene.

[0093] In conjunction with the sixth aspect, in some implementations of the sixth aspect, before activating the first function, the processor is further configured to: receive first information, the first information being used to indicate the activation of the first function and / or the part of the wearable device that needs to be worn.

[0094] In conjunction with the sixth aspect, in some implementations of the sixth aspect, when the wearing location is the head, the first function includes one or more of the following: sleep quality detection, sleep assistance, snoring or teeth grinding detection, and skin temperature measurement; when the wearing location is the chest, the first function includes one or more of the following: heart rate detection, heart rate variability detection, skin temperature measurement, cardiopulmonary sound detection, and respiratory signal detection; when the wearing location is the limbs, the first function includes one or more of the following: muscle and nerve function detection, motion recognition, muscle therapy, stimulation of sweating, skin temperature measurement, and blood pressure measurement.

[0095] In conjunction with the sixth aspect, in some implementations of the sixth aspect, the processor is further configured to: when the first function is enabled, send second information, the second information indicating the activation of an assistive function and / or the wearing position of the wearable device, the assistive function being related to the first function; and / or, when the first function is completed, send third information, the third information including the execution result of the first function.

[0096] In conjunction with the sixth aspect, in some implementations of the sixth aspect, the processor is also used to: detect a second scene; activate a second function corresponding to the second scene.

[0097] In one possible implementation, the second scenario may include one or more of the following: sleep scenario, exercise scenario, health monitoring scenario, muscle therapy scenario, and emotion monitoring scenario.

[0098] In a seventh aspect, a physiological signal detection device is provided. The device is wearable and can be worn on at least two different body parts. The device includes an acquisition module and a processing module. The processing module is configured to: display a first interface including first information in response to an operation of wearing the device on a first body part, the first information indicating the first body part, the at least two different body parts including the first body part; the acquisition module is configured to: receive a first operation applied to the first interface; the processing module is further configured to: display a second interface including second information indicating a first function applied to the first body part; the acquisition module is further configured to: receive a second operation applied to the first interface; and the processing module is further configured to: execute the first function.

[0099] In conjunction with the seventh aspect, in some implementations of the seventh aspect, before displaying the second interface, the processing module is further configured to: detect the target scene; display a third interface including third information, the third information being used to indicate the target scene; and the acquisition module is further configured to: receive a third operation applied to the third interface.

[0100] In one possible implementation, the target scenario may include one or more of the following: sleep scenario, exercise scenario, health monitoring scenario, muscle therapy scenario, and emotion monitoring scenario.

[0101] In conjunction with the seventh aspect, in some implementations of the seventh aspect, the processing module is further configured to: display a fourth interface including fourth information, the fourth information being used to instruct a second device and / or a second function, the second function being associated with the first function, the second device being used to perform the second function; the acquisition module is further configured to: receive a fourth operation applied to the fourth interface; and send instruction information, the instruction information being used to instruct the second device to perform the second function.

[0102] Eighthly, an electronic device is provided that is wearable and can be worn on at least two different locations. The electronic device includes a processor and a memory storing computer program instructions. The processor is configured to: in response to an operation of wearing the wearable device on a first location, display a first interface including first information indicating the first location, the at least two different locations including the first location; receive a first operation performed on the first interface; display a second interface including second information indicating a first function performed on the first location; receive a second operation performed on the first interface; and execute the first function.

[0103] In conjunction with the eighth aspect, in some implementations of the eighth aspect, before displaying the second interface, the processor is further configured to: detect a target scene; display a third interface including third information used to indicate the target scene; and receive a third operation performed on the third interface.

[0104] In one possible implementation, the target scenario may include one or more of the following: sleep scenario, exercise scenario, health monitoring scenario, muscle therapy scenario, and emotion monitoring scenario.

[0105] In conjunction with the eighth aspect, in some implementations of the eighth aspect, the processor is further configured to: display a fourth interface including fourth information for instructing a second device and / or a second function associated with the first function, the second device for performing the second function; receive a fourth operation applied to the fourth interface; and send instruction information for instructing the second device to perform the second function.

[0106] Ninthly, a computer program product is provided, comprising computer program code that, when executed on a computer, causes the methods in the third aspect and any possible implementation thereof to be executed, or causes the methods in the fourth aspect and any possible implementation thereof to be executed.

[0107] In a tenth aspect, a computer-readable storage medium is provided that stores computer program code, which, when run on a computer, causes the methods in the third aspect and any possible implementation thereof to be executed, or causes the methods in the fourth aspect and any possible implementation thereof to be executed.

[0108] Eleventhly, a chip is provided, including a processor for reading instructions stored in a memory, wherein when the processor executes the instructions, the chip implements the method of the third aspect and any possible implementation thereof, or the chip implements the method of the fourth aspect and any possible implementation thereof. Attached Figure Description

[0109] Figure 1 is a schematic diagram of the structure of a wearable device provided in an embodiment of this application.

[0110] Figure 2 is a schematic diagram of the cover of the wearable device in Figure 1.

[0111] Figure 3 is a schematic diagram of the functional components of the wearable device in Figure 1.

[0112] Figure 4 is a schematic diagram of the bottom of the wearable device in Figure 1.

[0113] Figure 5 is a schematic diagram of the other bottom of the wearable device in Figure 1.

[0114] Figure 6 is a schematic diagram of another bottom of the wearable device in Figure 1.

[0115] Figure 7 is a schematic diagram of the bottom section AA in Figure 6.

[0116] Figure 8 is a schematic diagram of an optical sensor provided in an embodiment of this application.

[0117] Figure 9 is a circuit diagram of a wearable device provided in an embodiment of this application.

[0118] Figure 10 is a schematic diagram of another wearable device provided in an embodiment of this application.

[0119] Figure 11 is a schematic diagram of another wearable device provided in an embodiment of this application.

[0120] Figure 12 is a schematic diagram of another wearable device provided in an embodiment of this application.

[0121] Figure 13 is a schematic diagram of a physiological signal detection method provided in an embodiment of this application.

[0122] Figure 14 is a schematic diagram of physiological signals provided in an embodiment of this application.

[0123] Figure 15 is a schematic diagram of another physiological signal detection method provided in an embodiment of this application.

[0124] Figure 16 is a schematic diagram of the method of using the wearable device provided in the embodiment of this application.

[0125] Figure 17 is a schematic diagram of a communication method provided in an embodiment of this application.

[0126] Figures 18 to 33 are schematic diagrams of the user interface of the wearable device provided in the embodiments of this application.

[0127] Figure 34 is a schematic diagram of a physiological signal detection device provided in an embodiment of this application.

[0128] Figure 35 is a schematic diagram of an electronic device provided in an embodiment of this application. Detailed Implementation

[0129] The embodiments of this application are described in detail below, and examples of these embodiments are illustrated in the accompanying drawings. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application.

[0130] Unless otherwise defined, the technical or scientific terms used herein shall have the ordinary meaning understood by one of ordinary skill in the art to which this application pertains. In the description of this application, it should be understood that the terms “center,” “longitudinal,” “lateral,” “upper,” “lower,” “front,” “rear,” “left,” “right,” “vertical,” “horizontal,” “top,” “bottom,” “inner,” and “outer,” etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are used only for the convenience of describing this application and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application.

[0131] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0132] To improve the detection efficiency of electrophysiological signals of the human body, this application provides a wearable device that can detect electrophysiological signals of different parts of the human body and can automatically identify the parts to be detected. The device has high detection efficiency of electrophysiological signals and is easy for users to use.

[0133] Figure 1 shows a schematic diagram of the structure of a wearable device 10 (hereinafter referred to as device 10) provided in an embodiment of this application. The device 10 may include a cover 110, a bottom 120, and a functional component 130. The cover 110 and the bottom 120 may be disposed opposite to each other, and the functional component 130 may be located between the cover 110 and the bottom 120. In other words, the cover 110, the functional component 130, and the bottom 120 may be stacked approximately along the thickness direction of the device 10 (direction D1 in the figure). The cover 110 may cooperate with the bottom 120 to encapsulate the functional component 130 located between them.

[0134] In some examples, electrodes, sensors, and other devices may be provided on the side of the bottom 120 away from the cover 110. During the use of the device 10, the functional component 130 may be used to control the aforementioned electrodes, sensors, and other devices. The side of the bottom 120 away from the cover 110 may come into contact with the user's skin, thereby enabling the aforementioned electrodes, sensors, and other devices to detect the user's physiological signals.

[0135] In some examples, device 10 can be worn on multiple different parts of the user's body, such as the limbs (arms, legs, etc.), head (forehead, chin, etc.), chest, etc.

[0136] Figure 2 shows a schematic diagram of the cover 110 of the device 10. As an example, the cover 110 can be a thin sheet, such as a circular sheet, an elliptical sheet, a square sheet, a rectangular sheet, etc., and this application does not impose any limitations on this. As an example, the sheet-like cover 110 can be located in the same plane, or the sheet-like cover 110 can have a certain curvature, for example, the middle part of the cover 110 is slightly convex and the surrounding parts are slightly concave, and this application also does not impose any limitations on this.

[0137] In some examples, the cover 110 may include a display component 112, which can be used to display information such as the function and status of the device 10.

[0138] For example, the display component 112 can be used to display the remaining battery power of the device 10, whether it is charging, etc.

[0139] For example, the display component 112 can be used to display the current functional mode, working mode, application scenario, etc. of the display device 10. For example, a working mode for detecting physiological signals or a working mode for outputting excitation signals. Another example is an electroencephalogram (EEG) signal detection mode, an electrocardiogram (ECG) signal detection mode, etc. Yet another example is a sleep scenario, an exercise scenario, a muscle therapy scenario, etc.

[0140] As one implementation, the display component 112 can be a display screen, and the functions of the display component 112 can be achieved by changing the content displayed on the display screen. For example, the display screen displays M1 to indicate that the current device 10 is in operating mode 1, and the display screen displays M2 to indicate that the current device 10 is in operating mode 2. As another example, the display screen can display the remaining battery power of the device 10, such as 55%.

[0141] For example, when the display component 112 is a display screen, the display screen can be a liquid crystal display screen, an organic light-emitting diode display screen, etc., and this application does not limit it.

[0142] As one implementation, the display component 112 can be one or more indicator lights. The functions of the display component 112 can be achieved by changing the color of the indicator lights, the number of indicator lights illuminated, and illuminating different indicator lights. For example, when indicator light 1 is lit, it indicates that the current device 10 is in operating mode 1; when indicator light 2 is lit, it indicates that the current device 10 is in operating mode 2. As another example, when indicator light 3 is red, it indicates that the remaining battery power of device 10 is less than 30%; when indicator light 3 is green, it indicates that device 10 is charging or that the remaining battery power of device 10 is greater than 90%.

[0143] For example, when the display component 112 is an indicator light, the indicator light can be a light-emitting diode indicator light, an electroluminescent indicator light, etc., and this application does not limit it.

[0144] In some examples, the cover 110 may include one or more buttons 114, in which the device 10 can perform a corresponding operation in response to pressing the button 114.

[0145] For example, in response to a long press of button 114, device 10 can be powered on or off. In other words, button 114 can function as a power-on or power-off switch. For example, in response to a single click of button 114, device 10 can switch between different functions or different operating modes, such as switching from detecting physiological signals to outputting stimulation current; or switching from sleep mode to exercise mode. In other words, button 114 can function as a selection of the device 10's functions, operating modes, application scenarios, etc.

[0146] As one possible implementation, the cover 110 may not include the aforementioned button 114. In this case, the function of the aforementioned button 114 can be controlled by other devices through network communication (e.g., wireless network communication) to complete the control of the device 10.

[0147] In some examples, the cover 110 may be composed of one or more materials, such as organic polymers and inorganic materials, which can all have good biocompatibility, thereby reducing the likelihood of allergic reactions during wear of the device 10. For example, the aforementioned organic polymers may include polyester, polyimide, polyurethane, etc., and the inorganic materials may include silicone, etc. This application does not limit the composition of the cover 110; it is understood that the materials constituting the cover 110 can have good mechanical strength, thereby improving the structural reliability of the device 10.

[0148] Figure 3 shows a schematic diagram of the functional component 130 of device 10. In some examples, the functional component 130 may include one or more electronic components and be used to implement some or all of the functions of device 10. Electrical connections may be provided between the multiple electronic components included in the functional component, and the multiple electronic components and the circuits connecting them may form a circuit component with a specific function.

[0149] As an example, the aforementioned electronic components may include resistors, capacitors, inductors, diodes, transistors, voltage regulators, switching power supplies, etc., and this application does not impose any limitations on them.

[0150] For example, device 10 may include circuit component 220, which can be used to control detection devices (e.g., electrodes) of device 10 to detect physiological signals from different parts of the human body. In some scenarios, circuit component 220 may also be referred to as signal detection circuit 220.

[0151] As an example, the aforementioned physiological signals may include one or more of the following: electroencephalogram (EEG) signals, electrocardiogram (ECG) signals, surface electromyography (sEMG) signals, impedance voltage signals, etc. Specifically, EEG signals, also known as electroencephalogram signals, can be used to reflect the electrophysiological activity of the heart; ECG signals, also known as ECG signals, can be used to reflect the weak potential changes generated by the brain itself; sEMG signals, also known as surface electromyography signals, can be used to reflect neuromuscular activity; and impedance voltage signals can be used to determine the bioimpedance of the wearing site.

[0152] Exemplarily, device 10 may include circuit component 222, which may be electrically connected to circuit component 220 and is used to process physiological signals detected by circuit component 220. In some examples, circuit component 222 may determine the wearing site of device 10 based on the aforementioned physiological signals. As one implementation, circuit component 222 may include a processor.

[0153] As an example, the processor mentioned above can be one or more of the following: field-programmable gate array (FPGA), application-specific integrated circuit (ASIC), system on chip (SoC), central processor unit (CPU), network processor (NP), digital signal processor (DSP), micro controller unit (MCU), programmable logic device (PLD), or other integrated chips.

[0154] For example, device 10 may include circuit component 224, which can be used to control the detection device (e.g., electrodes) of device 10 to detect the impedance of different parts of the human body in order to identify different wearing positions.

[0155] For example, device 10 may include circuitry 226 which can be used to control the electrodes of device 10 to apply electrical stimulation to the wearing area.

[0156] For example, device 10 may also include circuit component 228, which can be used to implement the communication function of device 10.

[0157] As one implementation, circuit component 228 may include one or more of the following: Bluetooth module, near field communication module, star flash module, wireless local area network module, etc. Through these modules, circuit component 228 can realize the communication function of device 10.

[0158] As an example, circuit component 228 may include a star flash module, through which device 10 can communicate with electronic devices such as mobile phones. Based on this, electronic devices such as mobile phones can perform control functions such as selecting functions of device 10 and switching working modes.

[0159] Exemplarily, device 10 may further include a battery 232, which may be electrically connected to electronic components or circuit assemblies within device 10 and used to power such electronic components and circuit assemblies. Device 10 may also include a circuit assembly 230, which may be electrically connected to battery 232 and used to charge battery 232. In some scenarios, circuit assembly 230 may be referred to as charging circuit 230.

[0160] In one implementation, the circuit component 230 may include a charging interface through which an external circuit can be electrically connected to the device 10 and charge the battery 232. Alternatively, the circuit component 230 may include a charging coil through which an external circuit can charge the battery 232 via electromagnetic waves.

[0161] In some examples, the multiple circuit components included in the device 10 described above can be mounted on a single circuit board. As an example, referring to FIG3, functional component 130 may include circuit board 240, on which multiple circuit components included in device 10 can be mounted on the same side, or on opposite sides of circuit board 240. Battery 232 in device 10 can be electrically connected to circuit board 240 to power the electronic components on circuit board 240.

[0162] Placing the circuit components on opposite sides of the circuit board 240 helps reduce the area of ​​the circuit board 240, thereby reducing the size of the device 10. To a certain extent, it also helps to wear the device 10 on different parts of the user's body.

[0163] As one implementation, the circuit board 240 may include polymer materials such as polyimide and polyester, or in other words, the circuit board 240 may be a flexible printed circuit (FPC). As another implementation, the circuit board 240 may also include inorganic polymer materials such as glass fiber and basalt fiber, or in other words, the circuit board 240 may be a printed circuit board (PCB).

[0164] Using flexible materials to fabricate the circuit board 240 is beneficial to improving the bendability and other properties of the functional components 130, improving the fit between the device 10 and the wearing area, and enhancing the performance of the device 10 in detecting physiological signals.

[0165] Figures 4 to 6 show schematic diagrams of the structure of the bottom 120 of device 10. As an example, the bottom 120 can be sheet-like, such as a circular sheet, an elliptical sheet, a square sheet, a rectangular sheet, etc., and this application does not impose any limitations on this. As an example, the sheet-like bottom 120 can be located in the same plane, or the sheet-like bottom 120 can have a certain curvature, for example, the middle part of the bottom 120 is slightly convex and the surrounding parts are slightly concave. This application also does not impose any limitations on this.

[0166] In some examples, the bottom 120 may be composed of one or more materials, such as organic polymers and inorganic materials, which can all have good biocompatibility, thereby reducing the likelihood of allergic reactions caused by the device 10 during wear. For example, the aforementioned organic polymers may include polyester, polyimide, polyurethane, etc., and inorganic materials may include silicone, etc. This application does not limit the composition of the bottom 120; it is understood that the materials constituting the bottom 120 can have good mechanical strength, thereby improving the structural reliability of the device 10.

[0167] To enrich the functionality of device 10 and improve the user experience, device 10 may include one or more types of sensors. For example, sensors for detecting the user's health status. These sensors can detect physiological data and reflect the user's health status based on this data, such as providing early warnings of potential illnesses. In some scenarios, these sensors can be called health monitoring sensors. Another example is sensors for detecting the user's activity status. These sensors can detect the device's wearing posture, the user's movement status, etc., and monitor the user's movement process, such as recording the calories burned during a single exercise session. In some scenarios, these sensors can be called motion support sensors.

[0168] In some examples, the device 10 may include one or more of the following health monitoring sensors: optical heart rate sensor, blood oxygenation sensor, bioimpedance sensor, electrocardiogram (ECG) sensor, electrodermal activity (EDA) sensor, skin temperature sensor, blood glucose sensor, capacitive acoustic sensor, pressure sensor, polyvinylidene fluoride (PVDF) sensor, etc.

[0169] As an example, an optical heart rate sensor may include a light emitting device and a light detecting device. For instance, a photoplethysmography (PPG) sensor may include one or more light-emitting diodes (LEDs) and one or more photodiodes (PDs), wherein the LEDs emit detection light, which is partially reflected after hitting the human body, and the reflected light is received by the photodiodes. The absorption of the detected light can be used to determine the user's heart rate status and identify potential cardiovascular diseases. In some scenarios, an optical heart rate sensor can be considered a non-contact sensor.

[0170] A blood oxygen saturation sensor determines the ratio of oxyhemoglobin and deoxyhemoglobin in the blood to different wavelengths of light, thereby determining the user's blood oxygen level. As an example, a blood oxygen saturation sensor may also include a light emitting device and a light detecting device. The light emitting device can emit light of different wavelengths (e.g., red light with a wavelength of approximately 660 nanometers and infrared light with a wavelength of approximately 940 nanometers); the light detecting device can detect the light reflected from the user's body. The absorption of different wavelengths of light can be used to determine the ratio of hemoglobin in the blood, thus determining the user's blood oxygen level. In some scenarios, a blood oxygen saturation sensor can be considered a non-contact sensor.

[0171] Bioimpedance sensors can be used to measure the electrical properties of human tissues or cells. As an example, a bioimpedance sensor may include multiple electrodes that can contact a user's skin and apply an excitation current to the contact site; these electrodes can also detect a voltage signal at the contact site corresponding to the aforementioned excitation current; based on the excitation current and the detected voltage signal, the bioimpedance of the human body part in contact with the bioimpedance sensor can be determined. In some scenarios, a bioimpedance sensor can be considered a contact sensor.

[0172] ECG sensors can be used to detect electrocardiogram (ECG) signals generated by the heart. As an example, an ECG sensor may include multiple detection electrodes that can contact different parts of the body. Since ECG signals generate different electrical potentials at different locations, collecting and analyzing ECG signals from these different locations using multiple electrodes can determine the user's cardiac electrical activity and output an electrocardiogram (ECG). In some scenarios, an ECG sensor can be considered a contact sensor.

[0173] When the human body experiences emotional excitement, psychological stress, pain, or other significant psychological or physiological events, sympathetic nerve activity is activated, leading to increased sweat gland activity. Sweat, as an electrolyte solution, increases the electrical conductivity of the skin surface, thus raising the skin's conductivity. Electrodermal sensors (EDS) can determine a user's neural activity by measuring the conductivity of human skin. In some scenarios, EDS can be used to assess a user's stress levels and detect their mental health. For example, an EDS sensor may include multiple electrodes that can contact the user's skin (e.g., the skin on the wrist). During the detection of EDS signals, a safe AC voltage source can be applied to these electrodes, which can measure the current flowing through the skin between two electrodes. Based on the output voltage and the detected current, the conductivity of the user's skin surface can be determined. In some scenarios, EDS sensors can be considered a type of contact sensor.

[0174] Skin temperature sensors are used to detect the temperature of the human skin surface. As an example, a skin temperature sensor may include a temperature-sensitive element (such as a thermocouple, thermistor, etc.) that exhibits different electrical properties at different temperatures. The temperature-sensitive element can be in direct or indirect contact with the user's skin. Different user skin temperatures result in different electrical properties of the temperature-sensitive element, thus enabling the skin temperature sensor to detect the user's skin temperature. In some scenarios, a skin temperature sensor can be considered a contact sensor.

[0175] Based on the principle of electrochemical analysis, a blood glucose sensor can determine the glucose content in human blood, i.e., blood glucose, by measuring the glucose concentration in subcutaneous interstitial fluid. As an example, a blood glucose sensor may include multiple electrodes, including a working electrode, a counter electrode, and a reference electrode. The working electrode is used to contact the user's blood sample, where the glucose molecules in the blood undergo a chemical reaction. The counter electrode balances the chemical reaction occurring at the working electrode, maintaining charge conservation throughout the system. The reference electrode provides a stable potential reference point, reducing the adverse effects of environmental factors such as temperature on the chemical reaction at the working electrode and improving the accuracy of the blood glucose sensor's detection results. In some scenarios, this blood glucose sensor can be considered a contact sensor.

[0176] In some other examples, blood glucose levels can also be detected using optical principles, and blood glucose sensors based on this principle can be considered a type of non-contact sensor.

[0177] Polyvinylidene fluoride (PVDF) is a piezoelectric material. When subjected to external forces (such as stretching, compression, or bending), it undergoes internal polarization, generating opposite charges between its two surfaces. These charges can be used to reflect the force applied to the PVDF or its deformation. PVDF sensors can include a PVDF film for contact with the user's skin. The processes of heartbeat and respiration cause the skin surface to dilate and contract. The PVDF film in contact with the user's skin deforms during these processes, generating corresponding charges. Based on the voltage signal corresponding to these charges, the user's heart rate, respiration, etc., can be determined. In some scenarios, PVDF sensors can be considered as contact sensors.

[0178] A capacitive acoustic sensor is a sound sensing device based on the principle of capacitors. It detects sound by detecting the vibration of a thin film caused by sound waves. For example, a capacitive acoustic sensor may include a tiny capacitor, with one plate fixed and the other plate being a thin film. When a sound wave acts on the thin film plate, the distance between the two plates changes, and the capacitance of the capacitor changes accordingly. The capacitive sensor can determine the intensity of the sound wave acting on the capacitor by detecting the change in capacitance. In some scenarios, a capacitive acoustic sensor can be considered a non-contact sensor.

[0179] Pressure sensors can be composed of pressure-sensitive materials. When an external force is applied to the pressure sensor, the pressure-sensitive material deforms, and its electrical properties (such as resistance and capacitance) change accordingly. The pressure sensor can come into contact with the user's skin. When the user's skin relaxes or contracts, the pressure-sensitive material of the sensor deforms accordingly. The pressure sensor can detect the resulting changes in the electrical properties of the pressure-sensitive material to determine the skin's relaxation or contraction. In some scenarios, pressure sensors can be considered a type of contact sensor.

[0180] In some examples, the device 10 described above may include one or more of the following motion support sensors: accelerometers (Acc), magnetometers, gyroscopes, altimeters, global positioning system (GPS) sensors, etc. In some scenarios, these aforementioned motion support sensors can all be considered as non-contact sensors.

[0181] In some examples, the device 10 described above may also include other types of sensors, such as ultraviolet sensors, ambient light sensors, Hall sensors, etc., which are not limited in this application.

[0182] Among the various types of sensors mentioned above, they can be broadly categorized into contact sensors and non-contact sensors based on whether they require contact with the object being measured. For example, optical heart rate sensors, blood oxygen saturation sensors, and capacitive acoustic sensors mentioned above are all non-contact sensors, while bioimpedance sensors, ECG sensors, and skin temperature sensors mentioned above are all contact sensors. It is understood that contact sensors can partially or completely contact the object being measured. In some examples, non-contact sensors can also contact the object being measured.

[0183] As previously explained, during the use of device 10, the side of bottom 120 away from cover 110 can come into contact with the user's skin. In order for device 10 to better collect the user's physiological signals, one feasible approach is to place one or more of the aforementioned sensors included in device 10 close to bottom 120. Figure 4 shows a schematic diagram of a cross-section of bottom 120 along the thickness direction (direction D1). The following description, in conjunction with Figure 4, explains the arrangement of various sensors in device 10.

[0184] Referring to Figure 4, in some examples, the bottom 120 may include an outer surface 121 that contacts the user's skin and an inner surface 123 near the cover 110.

[0185] In some examples, the non-contact sensors included in the device 10 may be located on the side of the bottom 120 near the inner surface 123, or these non-contact sensors may be located between the cover 110 and the bottom 120 of the device 10.

[0186] For example, one or more of the aforementioned non-contact sensors can be attached to the inner surface 123 of the bottom 120. For instance, in FIG. 4, the accelerometer Ncs1 included in the device 10 can be attached to the inner surface 123 of the bottom 120. Attaching the sensors to the surface of the bottom 120 facilitates the installation and removal of the sensors and improves the production efficiency of the device 10.

[0187] For example, when the bottom 120 has a certain thickness, a groove can be formed on the inner surface 123 of the bottom 120, and one or more of the non-contact sensors included in the device 10 can be located in the groove. For example, in FIG. 4, the magnetometer Ncs2 included in the device 10 can be fixed in the groove 123a. The groove structure for accommodating the sensor is formed on the bottom 120, which helps to reduce the overall thickness of the device 10. It is understood that the groove on the bottom 120 where the sensor is located can include the entire sensor being housed in the groove, or it can include a portion of the sensor being housed in the groove and a portion being exposed outside the groove.

[0188] As an implementation, the tank for housing the non-contact sensor can be configured with a corresponding cover. When the non-contact sensor is housed in the tank, the cover can be placed on the tank to encapsulate and protect the non-contact sensor.

[0189] In some examples, the contact sensors included in the device 10 may be located on the side of the bottom 120 near the outer surface 121, or on the side of the bottom 120 away from the cover 110.

[0190] For example, one or more of the contact sensors described above can be attached to the outer surface 121 of the bottom 120. For instance, in FIG. 4, the electrode Cs1 of the ECG sensor included in the device 10 can be attached to the outer surface 121 of the bottom 120. Attaching the sensor to the surface of the bottom 120 facilitates the installation and removal of the sensor and improves the production efficiency of the device 10.

[0191] For example, when the bottom 120 has a certain thickness, a groove can be formed on the outer surface 121 of the bottom 120, and one or more of the contact sensors included in the device 10 can be located in the groove. For example, in FIG. 4, the electrode of the skin conductance sensor Cs2 included in the device 10 can be fixed in the groove 121a. The groove structure for accommodating the sensor is formed on the bottom 120, which helps to reduce the overall thickness of the device 10. It is understood that the groove on the bottom 120 may include the entire sensor housed in the groove, or it may include part of the sensor housed in the groove and part exposed outside the groove.

[0192] In some examples, the bottom 120 may have one or more through-holes along its thickness direction. These through-holes can be used for electrical connections between the sensor located near the outer surface 121 and control circuitry and power supplies located away from the outer surface 121. For example, the interior of these through-holes may be provided with a conductive plating layer, a conductive filling medium, etc. As an example, as shown in FIG4, the bottom 120 may include through-holes 121b and 121c, wherein through-hole 121b can be used for electrical connections to the electrode Cs1 of the ECG sensor, and through-hole 121c can be used for electrical connections to the electrode of the electrodermal sensor Cs2.

[0193] To improve the lifespan of contact sensors, in some examples, the surface of the part of the contact sensor that contacts the object being measured can be provided with a protective structure. For example, the aforementioned protective structure may include a polymer film with good chemical and thermal stability, a metallic coating, or a non-metallic coating.

[0194] In some examples, where the area of ​​the bottom 120 is large enough, the non-contact sensor included in the device 10 can also be located on the side of the bottom 120 closer to the outer surface 121. In this case, the non-contact sensor is closer to the object being measured, which helps to improve the accuracy of the detection results of the non-contact sensor. As an example, the non-contact sensor can be attached to the outer surface 121, or the non-contact sensor can also be located in a groove structure similar to the groove 121a.

[0195] In one possible implementation, the multiple sensors included in the device 10 can be stacked along the thickness direction of the bottom 120 (direction D1 in the figure). For example, the tanks 121a and 123a in Figure 4 can be arranged opposite each other along direction D1, or the projections of the tank 121a and the tank 123a in the plane of the bottom 120 can partially or completely overlap.

[0196] In some examples, device 10 may include multiple electrodes that may be part of a contact sensor (such as an ECG sensor) included in the device 10.

[0197] For example, referring to schematic diagrams 5-1 and 5-2 in FIG5, the bottom 120 may include a plurality of receiving portions 122, and the plurality of electrodes included in the device 10 may be located at the positions of the receiving portions 122. The aforementioned plurality of electrodes may include electrodes for physiological signal detection, electrodes for outputting excitation current, electrodes for impedance detection, and electrodes for outputting stimulation current.

[0198] One possibility is that, similar to the groove 121a in Figure 4, the aforementioned receiving portion 122 can be a groove structure formed on the outer surface 121 of the bottom 120. In this case, the electrodes for physiological signal detection, the electrodes for outputting excitation current, and the electrodes for outputting stimulation current can be partially or completely housed in this groove structure. When the user wears the device 10, the side of these electrodes facing the user's skin can contact the skin of the area being measured.

[0199] One possibility is that the aforementioned receiving portion 122 can be a region on the outer surface 121 of the bottom 120 for attaching physiological signal detection electrodes, electrodes for outputting excitation current, and electrodes for outputting stimulation current. In other words, in this case, the electrodes can be attached to the outer surface 121 of the bottom 120.

[0200] As an example, components of other contact sensors included in device 10 may also be located at the aforementioned receiving portion 122. For instance, device 10 may include a negative temperature coefficient (NTC) sensor, the temperature-sensing element of which may be located at the receiving portion 122. As another example, device 10 may include a polyvinylidene fluoride (PVDF) sensor, the PVDF film of which may be located at the receiving portion 122. Yet another example, device 10 may include a pressure sensor, the pressure-sensing element of which may be located at the receiving portion 122.

[0201] As an example, negative temperature coefficient sensors can be used to detect a user's body temperature, skin temperature, etc.

[0202] As an example, polyvinylidene fluoride (PVDF) sensors can be used for heart sound monitoring, respiratory monitoring, muscle activity monitoring, or motion monitoring.

[0203] As an example, pressure sensors can be used to detect a user's blood pressure, respiration, and other vital signs. For instance, when the device 10 is worn on a user's limbs (such as the arms), the pressure sensor can detect pressure pulse waves and measure blood pressure, thus reflecting the user's vascular health. For example, when the device 10 is worn on the chest, the pressure sensor can detect heart and lung sounds and respiratory signals, thereby assessing the user's lung function to some extent and helping to prevent cardiovascular disease. As another example, when the device 10 is placed on the forehead, the pressure sensor can detect snoring or teeth grinding that may occur during sleep.

[0204] For example, continuing to refer to schematic diagrams 5-1 and 5-2 in FIG5, the bottom 120 may also include one or more receptacles 124, and one or more of the aforementioned non-contact sensors included in the device 10 may be located at the location of the receptacles 124.

[0205] One possibility is that, similar to the trough 123a in Figure 4, the aforementioned receiving portion 124 can be a trough structure formed on the inner surface 123 of the bottom 120. In this case, the non-contact sensor included in the device 10 can be located in the aforementioned trough structure.

[0206] One possibility is that the aforementioned receiving portion 124 can be an area on the inner surface 123 of the bottom 120 for attaching a non-contact sensor. In other words, in this case, the non-contact sensor included in the device 10 can be attached to the inner surface 123 of the bottom 120.

[0207] One possibility is that, similar to the groove 121a in Figure 4, the aforementioned receiving portion 124 can be a groove structure formed on the outer surface 121 of the bottom 120. In this case, the non-contact sensor of the device 10 can be located in the aforementioned groove structure. As an implementation, the groove for accommodating the non-contact sensor can be configured with a corresponding cover to achieve encapsulation and protection of the non-contact sensor.

[0208] One possibility is that the aforementioned receiving portion 124 may also be an area on the outer surface 121 of the bottom 120 for attaching a non-contact sensor. In other words, in this case, the non-contact sensor included in the device 10 may be attached to the outer surface 121 of the bottom 120.

[0209] For example, one or more of the following sensors may be located at the location of the receiving part 124, or the receiving part 124 may include one or more of the following sensors: accelerometer, global positioning system sensor, photoelectric volumetric sensor, gyroscope, magnetometer or capacitive acoustic sensor, etc.

[0210] As an example, accelerometers, gyroscopes, magnetometers, or GPS sensors can be used to determine a user's activity state (e.g., stationary or moving). For instance, a GPS sensor can be used for locating or searching for the user of device 10. For example, when device 10 is worn on the chest, an accelerometer can be used to measure chest movements, detect heartbeats and lung respiration, thereby assessing the user's cardiopulmonary function to some extent. When device 10 is worn on the forehead, an accelerometer can be used to detect snoring or teeth grinding that may occur during sleep.

[0211] As an example, photoplethysmography (PPG) sensors can be used to determine a user's heart rate, heart rate variability, blood oxygen saturation, etc. For instance, in cases of obstructive sleep apnea (OSA), a user may experience temporary hypoxia. Based on this, when device 10 is worn on the user's forehead, device 10 can detect the blood oxygen saturation of a localized area of ​​the user's brain using PPG sensors, and the results can be used to aid in the diagnosis of sleep apnea syndrome.

[0212] As an example, a capacitive acoustic sensor can be used to detect a user's breathing sounds, heartbeat sounds, or muscle activity sounds. For instance, when the device 10 is worn on the chest, the capacitive acoustic sensor can be used to detect the user's heart and lung sounds, thereby reflecting the user's heart health and preventing cardiovascular diseases.

[0213] This application does not impose any restrictions on the positions of the receiving portions 122 and 124 on the bottom 120, or on their relative positions. Similarly, this application does not impose any restrictions on the relative positions of the multiple receiving portions 122 or 124, whether the number of receiving portions 122 or 124 is multiple. Furthermore, this application does not impose any restrictions on the shapes of the receiving portions 122 and 124 on the bottom 120.

[0214] In some examples, the shape and size of the receiving portion 122, the shape and size of the receiving portion 124, and the positional relationship between the receiving portion 122 and the receiving portion 124 can be determined based on the shape and size of the bottom 120.

[0215] In some examples, when there are multiple accommodating portions 122, the multiple accommodating portions 122 can be located in the same row or column, so that the electrodes disposed in the accommodating portions 122 can be arranged linearly. Alternatively, the multiple accommodating portions 122 can be located in multiple rows or columns, or in other words, the multiple accommodating portions 122 can be arranged in an array, so that the multiple electrodes disposed in the accommodating portions 122 can be distributed in an array.

[0216] To improve the accuracy of physiological signal detection, the distance between two adjacent receiving portions 122 can be greater than or equal to a distance threshold, thereby increasing the difference in physiological signals detected within the two receiving portions 122 and improving the accuracy of the physiological signal detection results output by the device 10.

[0217] For example, the bottom 120 can be any of the following shapes: circle, oval, rectangle, or square, etc.

[0218] For example, in schematic diagram 5-1 of Figure 5, the bottom 120 can be elliptical, and the multiple receiving portions 122 on the bottom 120 can be arranged linearly. For example, the multiple receiving portions 122 can be arranged along the major axis of the ellipse (direction D2 in Figure 5).

[0219] As one implementation, in schematic diagram 5-1 of Figure 5, the bottom 120 includes four receiving portions 122, each of which can correspond to an electrode. The multiple receiving portions 122 in schematic diagram 5-1 of Figure 5 are located in the same row, with adjacent receiving portions 122 spaced apart, and the four receiving portions 122 are arranged approximately along the major axis of the elliptical contact surface. In schematic diagram 5-1 of Figure 5, the bottom 120 also includes one receiving portion 124, where the aforementioned sensors included in the device 10 can all be located. The receiving portion 124 can be located on one side (e.g., above or below) of the multiple receiving portions 122.

[0220] In schematic diagram 5-1 of Figure 5, the bottom 120 of device 10 may include four electrodes: electrode 301, electrode 302, electrode 303, and electrode 304. Electrodes 301 and 302 correspond to the two receiving portions 122 located on either side, while electrodes 303 and 304 may correspond to the two receiving portions 122 located in the middle. The distance between electrodes 301 and 302 is the greatest.

[0221] As an example, electrodes 301 and 302 can be used to detect one or more of the user's physiological signals, such as electrocardiogram signals, electroencephalogram signals, surface electromyography signals, and physiological signals of bioimpedance at the wearing site determined by the user.

[0222] As an example, electrodes 301 and 302 can also be used to apply excitation current and / or stimulation current to the wearing site. The excitation current corresponds to the bioimpedance of the wearing site; in other words, device 10 can apply an excitation current to the wearing site via electrodes 301 and 302. Device 10 can detect the impedance voltage signal corresponding to the excitation current, and this impedance voltage signal and the excitation current can jointly determine the bioimpedance of the wearing site. The stimulation current is related to muscle rehabilitation therapy, etc., of device 10; in other words, device 10 can apply a stimulation current of a certain frequency and magnitude to the wearing site via electrodes 301 and 302, thereby stimulating and treating the muscles at the wearing site.

[0223] As an example, electrodes 301 and 302 can be used to detect physiological signals at the wearing site and to apply excitation and / or stimulation currents to the wearing site. For instance, electrodes 301 and 302 can acquire the aforementioned physiological signals while outputting stimulation currents, and the acquired physiological signals of various types can be separated using signal processing circuitry.

[0224] As an example, when electrodes 301 and 302 are used to detect the user's physiological signals, electrodes 303 and / or 304 can be used as reference electrodes. For example, electrode 303 or electrode 304 can be used as a reference electrode alone, or both electrode 303 and electrode 304 can be used as reference electrodes, and the device 10 can switch between the two reference electrodes in a time-division manner.

[0225] As an example, when electrodes 301 and 302 are used to apply an excitation current, electrodes 303 and / or 304 can be used to acquire an impedance voltage signal corresponding to the excitation current.

[0226] For example, in schematic diagram 5-2 of Figure 5, the bottom 120 can be rectangular, and at least two of the multiple receiving portions 122 on the bottom 120 can be arranged along the length direction of the rectangle (direction D2 in Figure 5).

[0227] In schematic diagram 5-2 of Figure 5, the bottom 120 may include four receiving portions 122, each of which may correspond to an electrode. The four receiving portions 122 are located at the four corners of a rectangle and are arranged approximately symmetrically. The four electrodes located in the receiving portions 122 can form an array of approximately 2×2. Schematic diagram 5-2 of Figure 5 also shows that the bottom 120 includes two receiving portions 124. The aforementioned sensors included in the device 10 can be located in the positions of these two receiving portions 124. These two receiving portions 124 are located in the central region of the bottom 120 and are approximately located between the four receiving portions 122. Alternatively, these two receiving portions 124 may also be located near the edge of the bottom 120. For example, the receiving portions 124 may be arranged along the length of the bottom 120 (direction D2 in Figure 5) and may be located between two receiving portions 122.

[0228] In some examples, the electrode located at the location of the receiving portion 122 may be composed of one or more of a conductive metallic material, a conductive organic material, or a conductive non-metallic material. The conductive metallic material may include gold, platinum, or iridium, etc.; the conductive organic material may include conductive carbon nanotubes or conductive graphene, etc.; and the conductive non-metallic material may include silicon-based materials, etc.

[0229] In some examples, the electrode located at the receiving portion 122 can be block-shaped or film-shaped. For block-shaped electrodes, a groove can be provided on the bottom 120 at the receiving portion 122, in which the block-shaped electrode can be accommodated. For film-shaped electrodes, the film-shaped electrode can be formed on the surface of the receiving portion 122 by means of a coating.

[0230] As one implementation, referring to Figure 6, the contact surface of the bottom 120 may include two receiving portions 122, one receiving portion 126, and one receiving portion 124. Each of the two receiving portions 122 may contain an electrode, and the receiving portion 124 may contain one or more sensors. For a description of the receiving portions 122 and 124, please refer to Figures 4 or 5 above.

[0231] Figure 7 shows a schematic diagram of the cross-section AA of the receiving portion 126. Exemplarily, the receiving portion 126 may be provided with functional layers 310, 320, and 330 stacked along direction D1. Functional layer 310 may include one or more optical sensors that can detect physiological data of the human body by emitting light and receiving light reflected from the human body. Functional layer 320 may be composed of a material with a transmittance greater than or equal to a transmittance threshold Th1 (e.g., 90%, 95%), such as glass (e.g., silicate glass) or polymeric materials (e.g., polymethyl methacrylate). Functional layer 330 may be composed of a material with a transmittance greater than or equal to a transmittance threshold Th2 (e.g., 85%, 90%), such as a transparent metal film (e.g., indium tin oxide), glass, or polymeric materials.

[0232] As an example, the optical sensor included in functional layer 310 can be a photoplethysmography (PPG) sensor. Figure 8 provides an exemplary schematic diagram of a PPG sensor. This PPG sensor may include one or more light-emitting diodes (LEDs) 312 and at least one photodiode (PD) 314. The LEDs 312 serve as a light source, emitting light signals for detecting physiological signals; the photodiode 314 detects the aforementioned light signals reflected by the human body and converts the reflected light signals into electrical signals. By combining the light signals emitted and received by the PPG sensor, health information such as heart rate, blood oxygen saturation, and blood pressure can be determined.

[0233] As an example, the functional layer 330 may consist of a single transparent conductive film or multiple mutually separated transparent conductive films. These films may serve as electrodes of the device 10, performing functions similar to those of the electrodes located within the aforementioned receiving portion 122. In other words, the single or multiple transparent conductive films within the functional layer 330 may be used as acquisition electrodes and / or excitation electrodes. For example, the functional layer 330 may include any one of the electrodes 301, 302, 303, and 304 shown in schematic diagram 5-1 of FIG. 5.

[0234] In other words, the functional layer 330 may include one or more electrodes. In the case that the functional layer 330 includes multiple electrodes, adjacent electrodes are separated from each other. As one implementation, referring to FIG6, the functional layer 330 may include one electrode 305.

[0235] As one implementation, a portion of the functional layer 320 may be composed of a material with a transmittance greater than or equal to the transmittance threshold Th1. Referring to FIG7, the functional layer 320 may include a light-transmitting portion 322, which may be composed of a material with a transmittance meeting the aforementioned requirements. The light-transmitting portion 322 may be located directly below the functional layer 310, or in other words, the projection of the functional layer 310 onto the functional layer 320 may be located inside the light-transmitting portion 322.

[0236] Referring to Figures 7 and 8, one possible configuration is that the light-transmitting portion 322 may include a light-transmitting portion 322a and a light-transmitting portion 322b. The light-transmitting portion 322a may be located directly below the light-emitting diode 312 within the functional layer 310, and the light-transmitting portion 322b may be located directly below the photodiode 314 within the functional layer 310. When the user wears the device 10, the light emitted by the light-emitting diode 312 can pass through the light-transmitting portion 322a and the functional layer 330 to reach the human body. The light reflected by the human body can pass through the functional layer 330 and the light-transmitting portion 322b to reach the photodiode 314.

[0237] In Figure 6, the electrode 305 of the device 10 can be composed of transparent conductive materials (such as indium tin oxide, zinc oxide, fluorine-doped tin oxide, aluminum zinc oxide, etc.). This electrode can be stacked with the optical sensor along the thickness direction of the device 10, which improves the space utilization efficiency of the bottom 120 of the device 10 to a certain extent and helps to reduce the area of ​​the bottom 120.

[0238] Figures 4 to 6 exemplarily illustrate several methods for setting up electrodes and sensors on device 10. One possibility is that the electrodes of device 10 may have different functions.

[0239] In some examples, the electrodes of device 10 can be used to detect physiological signals at the wearing site, such as electroencephalogram (EEG) signals, electrocardiogram (ECG) signals, surface electromyography (EMG) signals, impedance voltage signals, etc.

[0240] As an example, electrodes 301 and 302 in Figures 5 and 6 can be used to detect the aforementioned physiological signals.

[0241] In the case where the device 10 includes electrodes other than electrodes 301 and 302, the aforementioned other electrodes can be used as reference electrodes during the detection of the physiological signals by electrodes 301 and 302 to improve the quality of the physiological signals detected by the device 10.

[0242] For example, the device 10 in Figure 5 may also include electrodes 303 and 304. During the detection of physiological signals through electrodes 301 and 302, the device 10 may use electrodes 303 and / or 304 as reference electrodes.

[0243] In one implementation, device 10 may use electrode 303 as the reference electrode alone, or device 10 may use electrode 304 as the reference electrode alone, or device 10 may use both electrode 303 and electrode 304 as the reference electrode simultaneously, or device 10 may use electrode 303 or electrode 304 alternately as the reference electrode.

[0244] In some scenarios, the device 10 alternately uses electrodes 303 and 304 as reference electrodes, which can also be referred to as the device 10 time-division switching of electrodes 303 and 304 as reference electrodes.

[0245] For example, the device 10 in Figure 6 may also include an electrode 305, which can be used as a reference electrode during the detection of physiological signals through electrodes 301 and 302.

[0246] During the detection of the aforementioned impedance voltage signal, device 10 needs to apply an excitation current to the wearing area. In some examples, electrodes 301 and 302 in Figures 5 and 6 can be used to apply an excitation current to the wearing area.

[0247] In some examples, based on the applied excitation current, the aforementioned electrodes 301 and 302 can also be used to detect the impedance voltage signal corresponding to the excitation current.

[0248] The excitation current output by electrode 301 or electrode 302 can have a negative impact on the detection of impedance voltage signal to some extent. In other words, if the excitation current is applied using electrode 301 and electrode 302, and the impedance voltage signal is detected using electrode 301 and electrode 302, the quality of the impedance voltage signal detected in this way may be poor.

[0249] To improve the quality of the impedance voltage signal and the accuracy of the device 10 in identifying the wearing location, the device 10 can use electrodes other than the excitation electrode 301 and electrode 302 to detect the impedance voltage signal.

[0250] For example, device 10 in Figure 5 may also include electrodes 303 and 304. Device 10 can use electrodes 301 and 302 to apply excitation current and use electrodes 303 and 304 to detect impedance voltage signals.

[0251] For example, the device 10 in Figure 6 may also include an electrode 305. The device 10 can use electrodes 301 and 302 to apply an excitation current and use electrode 305 to detect an impedance voltage signal.

[0252] In some examples, the electrodes of device 10 can also be used to output a stimulating current, which can be used for functions such as sleep aid and muscle therapy.

[0253] For example, when the device 10 is worn on the user's forehead, the device 10 can use electrodes 301 and 302 to output low-frequency current (50-100Hz, μm level) to stimulate simulated human brain waves and assist the user in sleeping. For example, when the device 10 is worn on the user's arm, the device 10 can use electrodes 301 and 302 to output medium-frequency pulse current (1-100kHz, mA level) to stimulate arm muscle contraction and relaxation, achieving functions such as arm muscle physiotherapy, muscle relaxation, and rehabilitation.

[0254] In one implementation, device 10 can apply a stimulating current to the user's wearing site using electrodes 301 and 302 as shown in schematic diagram 5-1 of Figure 5, and simultaneously acquire physiological signals (such as surface electromyography signals) from the wearing site using electrodes 301 and 302. Device 10 can apply a stimulating current and acquire physiological signals using the same set of electrodes, and can separate and process the acquired signals of various types during signal processing.

[0255] Figure 9 shows a schematic block diagram of the internal circuitry of a device 10 according to an embodiment of this application. The device 10 can be powered by a battery 232, which is electrically connected to a circuit 410 of the device 10. The circuit 410 is electrically connected to the electrodes and sensors of the device 10 and is used to control the operation of the electrodes and sensors. The circuit 410 can be considered as part of the various circuit components included in the aforementioned functional component 130.

[0256] In some examples, circuit 410 may include a filter circuit 420 that may be electrically connected to the acquisition electrodes of device 10 and used to filter the electrical signals detected by the acquisition electrodes.

[0257] As an example, the filter circuit 420 can be used to adjust the electrical signal input to the acquisition electrodes, for example, to remove noise from the aforementioned electrical signal; or, for example, to adjust the spectrum of the aforementioned electrical signal. The electrical signal adjusted by the filter circuit 420 has high signal quality and low signal distortion, which is beneficial for subsequent circuit processing and can reduce the interference of the aforementioned electrical signal on subsequent processing circuits to a certain extent.

[0258] In some examples, circuit 410 may include an analog front-end (AFE) circuit 430, which may be electrically connected to the end of the aforementioned filter circuit 420 away from the acquisition electrode. In other words, the electrical signal processed by the filter circuit 420 may be input to the analog front-end circuit 430. The analog front-end circuit 430 may be used to amplify, filter, and convert the input signal into a digital signal.

[0259] For example, the analog front-end circuit 430 may include a multiplexer (MUX) 510, to which signals input to the analog front-end circuit 430 may first be input. The multiplexer 510 can switch between multiple input signals, selecting one as the output signal. The multiplexer 510 can also be used to combine multiple input analog signals into a single signal for transmission through a single channel.

[0260] For example, the analog front-end circuit 430 may include a programmable gain amplifier (PGA) 512, which may be electrically connected to the multiplexer 510 described above; that is, the output signal of the multiplexer 510 may be input to the programmable amplifier 512. The programmable amplifier 512 can be used to adjust the gain according to the magnitude of the input signal to ensure that the signal maintains good signal quality in subsequent processing stages. For example, the programmable amplifier 512 can also be used to adjust the amplitude of the input signal so that the adjusted signal is suitable for the requirements of subsequent circuits, such as ensuring that the adjusted signal is within the input range of the analog-to-digital converter.

[0261] For example, the analog front-end circuit 430 may include an analog-to-digital converter (ADC) 514, which may be electrically connected to the end of the programmable amplifier 512 away from the multiplexer 510. In other words, the signal output by the programmable amplifier 512 can be input to the ADC 514. The ADC 514 can be used to convert the input analog signal into a digital signal. Specifically, the ADC 514 can perform sampling, quantization, encoding, and other processing on the input analog signal, thereby converting the analog signal into a digital signal.

[0262] For example, the analog front-end circuit 430 may include a right leg driver (RLD) 516, which can be electrically connected to the aforementioned multiplexer 510. The right leg driver 516 can be used to reduce common-mode interference during signal acquisition, improving the quality and signal-to-noise ratio of the acquired signal. Referring to Figure 9, one end of the right leg driver 516 can be electrically connected to the aforementioned multiplexer 510, and the other end can be electrically connected to the acquisition electrode. In other words, the right leg driver 516 can determine the amplitude, phase, and other information of the common-mode interference signal based on the signal output by the multiplexer 510, and output a signal opposite to the common-mode interference signal to the acquisition electrode, thereby improving the quality of the signal acquired by the acquisition electrode.

[0263] For example, the analog front-end circuit 430 may include an interface 524, which can be used to output the signal processed by the analog front-end circuit 430 to other circuits. One end of the interface 524 can be electrically connected to the aforementioned analog-to-digital converter 514, and the other end can be electrically connected to the interface of other circuits. In other words, the signal output by the aforementioned analog-to-digital converter 514 can be output to other circuits through the interface 524.

[0264] As an example, interface 524 can be one or more of the following types: serial peripheral interface (SPI), general-purpose input / output (GPIO) interface, controller area network (CAN) interface, or peripheral component interconnect express (PCIe) interface, etc. This application does not limit the type of interface 524.

[0265] In some examples, circuit 410 may include data processing circuit 440, which may be electrically connected to the aforementioned analog front-end circuit 430, and the signal output by the analog front-end circuit 430 after processing may be input to the data processing circuit 440.

[0266] For example, the data processing circuit 440 may include an interface 526 that can be connected to an interface 524 of the analog front-end circuit 430. The interfaces 524 and 526 can be used for the exchange of information and / or data between the analog front-end circuit 430 and the data processing circuit 440.

[0267] As an example, interface 526 can be one or more of the following types: serial peripheral interface, general purpose input / output interface, controller area network interface, or high-speed peripheral interconnection interface, etc. This application does not limit the type of interface 526.

[0268] For example, the data processing circuit 440 may include a microcontroller unit (MCU), which may include a central processing unit (CPU) and memory. The CPU can read programs or instructions stored in the memory and perform processing operations.

[0269] For example, the data processing circuit 440 may include a Bluetooth Low Energy (BLE) circuit, which can be used to implement the communication functions of the device 10, such as receiving and / or sending data, information, etc.

[0270] For example, the data processing circuit 440 may also include an analog-to-digital converter, an input / output (IO) interface, or an inter-integrated circuit (I2C) bus, etc., which are not limited in this application.

[0271] In some examples, circuit 410 may also include a digital-to-analog converter (DAC) 518, which can receive digital signals from the aforementioned data processing circuit 440 and convert the digital signals into analog signals. Specifically, DAC 518 can convert the input signal into an analog signal through processes such as decoding, synthesis, filtering, and smoothing.

[0272] For example, the digital-to-analog converter 518 may include an interface 528 that can be electrically connected to an interface 530 of the data processing circuit 440. Through the interface 528 and the interface 530, signals from the data processing circuit 440 can be input to the digital-to-analog converter 518.

[0273] In some examples, circuit 410 may also include a constant current source circuit 450, which may be electrically connected to the aforementioned digital-to-analog converter 518; that is, the analog signal output by the digital-to-analog converter 518 may be input to the constant current source circuit 450. The constant current source circuit 450 may output a stable current based on the input signal.

[0274] For example, the constant current source circuit 450 may include a digital potentiometer 520, which may be electrically connected to the aforementioned data processing circuit 440. For instance, the digital potentiometer 520 may be electrically connected to the integrated circuit bus (I2C) of the data processing circuit 440. The data processing circuit 440 can control the magnitude of the current output by the constant current source circuit 450 by controlling the digital potentiometer 520.

[0275] In some examples, circuit 410 may further include a signal generation circuit 460, which may be electrically connected to the aforementioned constant current source circuit 450. In other words, the stable current output by the constant current source circuit 450 may be input to the signal generation circuit 460. The signal generation circuit 460 may output a preset signal based on the input current signal.

[0276] For example, the signal generation circuit 460 may include an analog switch 522, which may be electrically connected to the aforementioned data processing circuit 440. For instance, the analog switch 522 may be electrically connected to the input / output interface of the data processing circuit 440. The data processing circuit 440 can control the signal generation circuit 460 to output a preset signal by controlling the analog switch 522.

[0277] In some examples, the signal generating circuit 460 can be electrically connected to the electrodes of the device 10. When the signal generating circuit 460 inputs a preset signal to the electrodes, the electrodes can perform corresponding functions, such as outputting a current of a certain magnitude and frequency to stimulate the wearing area.

[0278] In some examples, circuit 410 may further include a signal processing amplification and filtering circuit 470, one end of which can be connected to the electrodes of device 10, and the other end of which can be electrically connected to the analog-to-digital converter in data processing circuit 440. This signal processing amplification and filtering circuit 470 can amplify the physiological signals acquired by the electrodes and filter out noise and interference in the signals, thereby improving the quality and reliability of the acquired signals and facilitating subsequent analog-to-digital conversion and other processing.

[0279] For example, the electrodes electrically connected to the aforementioned signal processing amplification and filtering circuit 470 can be used to acquire physiological signals for determining the bioimpedance of the wearing site.

[0280] In some examples, circuit 410 may also include more or fewer electronic components, and this application is not limited thereto. Exemplarily, circuit 410 may also include multiple electronic components for implementing the functions of multiple sensors in device 10.

[0281] Figure 10 shows another wearable device 12 provided in this application embodiment. The wearable device 12 may include one or more devices 10 in the foregoing examples. The wearable device 12 may also include a connector, which can be used to wear the device 10 on different parts of the body during the user's use of the device 10.

[0282] For example, referring to FIG10, the connector may include an adhesive portion 140a, which may be located on the outer periphery of the device 10. The side of the adhesive portion 140a near the bottom 120 of the device 10 may serve as an adhesive surface. An adhesive material may be coated on the adhesive surface, and the device 10 may be worn at different wearing positions through the adhesive material.

[0283] Figure 11 shows another wearable device 14 provided in the embodiment of this application. The wearable device 14 may include one or more devices 10 in the foregoing examples. The wearable device 14 may also include a connector, which can be used to wear the device 10 on different parts of the body during the user's use of the device 10.

[0284] For example, referring to Figure 11, the aforementioned connector may include a strap 140b, the two ends of which can be connected to the opposite ends of the device 10. The strap 140b and the device 10 can be connected to form a loop structure, allowing the device 10 to be fitted onto the user's head, arms, legs, or other parts of the body. As one implementation, an adjustment structure 142 for adjusting the length of the strap 140b can be connected to the strap 140b. When the device 10 is worn on different parts of the body, the adjustment structure 142 allows the device 10 to fit more securely and firmly against the corresponding body part, improving the accuracy of the device 10 in detecting physiological data.

[0285] In order to analyze the user's physical condition more accurately, in some examples, multiple devices 10 can be used simultaneously to collect physiological signals in different areas of the same part of the human body. In other words, multiple devices 10 can be used in combination.

[0286] Figure 12 shows another wearable device 20 provided in the embodiment of this application. The wearable device 20 may include a plurality of devices 10 as described above. The device 10 may also include a fixing structure 22, which can be used to install the plurality of devices 10, or in other words, the fixing structure 22 can be used to achieve relative fixation of the plurality of devices 10.

[0287] In some examples, the multiple devices 10 contained in device 20 can be arranged in an array. For example, in Figure 12, device 20 contains 9 devices 10, which can be arranged in a 3x3 grid.

[0288] In some examples, the fixed structure 22 may include connecting lines that can be used to establish electrical connections between multiple devices 10. These connecting lines can be used to power the multiple devices 10, and / or, they can also be used to establish communication connections between the multiple devices 10.

[0289] As an example, device 10 may include a wireless communication module, through which multiple devices 10 within device 20 can communicate with each other.

[0290] As one implementation, the device 20 can be strip-shaped, or the fixing structure 22 can be strip-shaped. When the user wears the device 20, the strip-shaped device 20 can wrap around the wearing part (e.g., the waist).

[0291] As one implementation, the device 20 can be cap-shaped, or in other words, the fixing structure 22 can be cap-shaped, and multiple devices 10 can be fixed to the inner wall of the cap-shaped fixing structure 22. When a user wears the device 20, the cap-shaped device 20 can be placed over or cover the wearing area (e.g., the head).

[0292] Based on the device 10 provided in the above example, as shown in FIG13, this application embodiment also provides a method for physiological signal detection, through which the device 10 can identify the part worn by the user.

[0293] Taking the arrangement of the receiving portion on the bottom 120 of the device 10 shown in the schematic diagram 5-1 in Figure 5 above as an example, the receiving portions 122 located on both sides of the bottom 120 can respectively include electrode 301 and electrode 302, and the two receiving portions 122 located in the middle can respectively include electrode 303 and electrode 304.

[0294] Taking the arrangement of the receiving portion on the bottom 120 of the device 10 shown in Figure 6 above as an example, the receiving portions 122 located on both sides of the bottom 120 can respectively include electrodes 301 and 302, and the receiving portion 126 located between the two receiving portions 122 can be provided with an electrode 305 composed of transparent conductive material.

[0295] S101, Device 10 acquires signal Sga through at least two electrodes.

[0296] In some examples, device 10 can detect signal Sga using electrodes 301 and 302 shown in schematic diagram 5-1 of FIG5 or FIG6.

[0297] In order to improve the quality of the detected signal Sga and enhance the efficiency of signal acquisition and processing of device 10, in some examples, when using the above-mentioned electrodes 301 and 302 to detect the signal Sga, device 10 may also use electrode 303 or electrode 304 in schematic diagram 5-1 of FIG5 as a reference electrode, or device 10 may also use electrode 305 in FIG6 as a reference electrode.

[0298] In the above case, electrodes 301 and 302 can form a lead signal with signal differential, and the reference electrode can be used for common-mode signal cancellation, thereby improving the common-mode rejection ratio of signal acquisition.

[0299] For example, in the case where device 10 includes four electrodes, during the detection of signal Sga, two of them can be used as detection electrodes and the other two as reference electrodes, and device 10 can switch the two reference electrodes in a time-division manner. For example, in schematic diagram 5-1 of Figure 5, electrode 303 and electrode 304 can be used as reference electrodes, and device 10 can switch electrode 303 and electrode 304 in a time-division manner so that electrode 303 and electrode 304 can acquire signals at different time periods.

[0300] The signals acquired by the two reference electrodes can be adaptively filtered during subsequent signal processing to remove motion interference that may occur during signal acquisition, thereby improving the quality of the signal Sga acquired by the device 10.

[0301] In some examples, signal Sga may include one or more of the following: signal Sg1, signal Sg2, signal Sg3.

[0302] Among them, signal Sg1 can be used to determine the user's electroencephalogram (EEG). In some scenarios, signal Sg1 can also be called an EEG signal. Signal Sg2 can be used to determine the user's electrocardiogram (ECG). In some scenarios, signal Sg2 can also be called an ECG signal. Signal Sg3 can be used to determine the user's surface electromyography (sEMG). In some scenarios, signal Sg3 can also be called a surface electromyography (sEMG) signal.

[0303] Signals Sg1, Sg2, and Sg3 differ in their amplitude and characteristics. Figure 14 roughly illustrates the shape and relative amplitude of signals Sg1, Sg2, and Sg3.

[0304] For example, the signal Sg1 may include various types of waveforms, such as alpha waves, beta waves, delta waves, or theta waves. These different types of waveforms can correspond to different physiological states of the user.

[0305] For example, alpha waves are more common when a user is relaxed with their eyes closed. In other words, alpha waves are often associated with a resting yet alert state of the brain. Beta waves are more common when the brain is active, focused, solving problems, or performing various mental tasks. In other words, beta waves are often associated with a state of high alertness and focus of the brain. Delta waves are more common during deep sleep, extreme relaxation, or unconsciousness. In other words, delta waves reflect a deep state of rest in the brain. Theta waves are more common during deep relaxation, meditation, or when about to fall asleep. In other words, theta waves are associated with memory formation.

[0306] For example, the signal Sg2 has obvious periodicity, distinct signal characteristics, and contains significant QRS groups.

[0307] When the device 10 is worn on different body parts, the signals Sg1, Sg2, and Sg3 detected by the device 10 may differ, and different body parts can be identified based on these differences. In some examples, the device 10 can distinguish between the signals Sg1, Sg2, or Sg3 in the following ways:

[0308] Signal Sg1 is determined based on its amplitude. Specifically, device 10 can process signals Sg1, Sg2, and Sg3 using the same signal processing gain. Given that the amplitude of signal Sg1 is typically much smaller than that of signal Sg2 or signal Sg3, device 10 can determine that among the various acquired signals, the signal with the smallest amplitude is signal Sg1.

[0309] Signals Sg2 and Sg3 are determined based on their signal morphology. Specifically, as explained above, signal Sg2 exhibits obvious periodicity and clear signal characteristics, containing significant QRS complexes. Therefore, device 10 can identify signal Sg2 as the one that meets the aforementioned signal characteristics and morphology among the various acquired signals other than signal Sg1, and the remaining signals as signal Sg3.

[0310] S102, apply excitation current and acquire signal Sgb.

[0311] In some scenarios, the signal Sgb can be understood as a voltage signal corresponding to the excitation current. This signal Sgb can be used to determine the bioimpedance of the wearing site. In other words, the signal Sgb here can be the impedance voltage signal mentioned above.

[0312] In some examples, device 10 can use electrodes 301 and 302 in schematic diagram 5-1 of FIG5 or electrodes 301 and 302 in FIG6 as excitation electrodes, and apply excitation current to the wearing part through electrodes 301 and 302.

[0313] For example, device 10 can acquire signal Sgb via electrodes 301 and 302.

[0314] To reduce measurement errors in the acquired signal Sgb and improve the detection accuracy of the signal Sgb, the signal Sgb can be acquired using electrodes other than those used to apply the excitation current.

[0315] For example, device 10 can acquire signal Sgb via electrode 303 or electrode 304 in schematic diagram 5-1 of FIG. 5. Alternatively, for example, device 10 can acquire signal Sgb via electrode 305 in FIG. 6.

[0316] S103, the device 10 determines the wearing position based on the signal Sga and / or the signal Sgb.

[0317] In some examples, device 10 can determine the wearing location based on the signal contained in signal Sga. It should be noted that in this case, step S102 in the above process, which is used to acquire signal Sgb, can be omitted.

[0318] One possibility is that the device 10 is worn on the user's limbs. In this case, the signal Sg3 contained in the signal Sga is more prominent. Alternatively, the device 10 can determine whether it is worn on the limbs based on the signal characteristics of the detected signal Sg3.

[0319] In some examples, the signal characteristics used to determine the wearing site may include signal time-domain characteristics and / or signal frequency-domain characteristics.

[0320] For example, the above-mentioned time-domain characteristics of the signal may include the root mean square value, average absolute value, peak-to-peak value, number of zero crossings, waveform length, etc. of the signal Sg3.

[0321] Among them, the root mean square value and the average absolute value of the signal Sg3 can be used to reflect the average intensity of the signal Sg3, and can be used to assess the contraction strength and fatigue level of the muscle; the peak-to-peak value of the signal Sg3 refers to the difference between the maximum and minimum values ​​of the signal Sg3 over a period of time, which can reflect the range of variation of the signal Sg3; the number of zero crossings of the signal Sg3 refers to the number of times the signal Sg3 crosses zero over a period of time, which can reflect the fluctuation frequency of the signal Sg3, and can be used to assess the frequency of muscle activity; the waveform length of the signal Sg3 refers to the sum of the waveform lengths of the signal Sg3 over a period of time, which can reflect the complexity of the signal Sg3, and can be used to assess the subtle movements of the muscle.

[0322] For example, the above-mentioned frequency domain characteristics of the signal may include the median frequency, average power frequency, spectral centroid, frequency variance, etc. of the signal Sg3.

[0323] Among them, the median frequency, average power frequency, and spectral centroid of signal Sg3 can be used to reflect the frequency distribution of signal Sg3, which can be used to assess the degree of muscle fatigue (for example, in the case of muscle fatigue, the median frequency and average power frequency of signal Sg3 will gradually decrease); the frequency variance of signal Sg3 can be used to reflect the degree of dispersion of the frequency distribution of signal Sg3.

[0324] As one implementation, the different time-domain and frequency-domain characteristics of the aforementioned signal Sg3 can be used to identify different muscle activity patterns, which are related to the wearing location of the device 10. Accordingly, the device 10 can determine whether it is worn on the user's limbs based on the signal Sg3.

[0325] One possibility is that the device 10 is worn on the user's chest, in which case the signal Sg2 contained in the signal Sga is more prominent. Alternatively, the device 10 can determine whether it is worn on the chest based on the signal characteristics of the detected signal Sg2.

[0326] In some examples, the signal characteristics of the signal Sg2 described above may include the signal amplitude.

[0327] For example, if the amplitude of the detected signal Sg2 is within the amplitude range (e.g., 0.5mV-5mV), the device 10 can determine that it is being worn on the chest.

[0328] For example, if the signal Sg2 contains a distinct P wave, QRS complex, and T wave, the device 10 can determine that it is being worn on the chest.

[0329] For example, if the heart rate reflected by the detected signal Sg2 is within the heart rate range (e.g., 60-100 beats / minute), the device 10 can determine that it is being worn on the chest.

[0330] In some examples, device 10 can also use machine learning algorithms (such as support vector machines, neural networks, etc.) to perform feature analysis on the acquired signal Sg2, thereby determining whether device 10 is worn on the chest.

[0331] One possibility is that device 10 is worn on the user's head, in which case the signal Sg1 contained in signal Sga is more prominent. Alternatively, device 10 can determine whether it is worn on the head based on the signal characteristics of the detected signal Sg1.

[0332] In some examples, the signal characteristics of the aforementioned signal Sg1 may include waveform characteristics and / or signal amplitude.

[0333] For example, if the amplitude of the α wave, β wave, δ wave or θ wave contained in the signal Sg1 is within the amplitude range (e.g., 5μV-200μV), the device 10 can determine that it is being worn on the head.

[0334] For example, the device 10 can be determined to be worn on the head when the waveform of the detected signal Sg1 is different depending on the user's state. For instance, when the user is in a resting state, the detected signal Sg1 contains waveforms corresponding to alpha and beta waves; when the user is in a deep sleep state, the detected signal Sg1 contains waveforms corresponding to delta waves; in this case, it can be determined that the device 10 is worn on the head.

[0335] In some examples, device 10 can determine the wearing location using signal Sgb. It should be noted that in this case, step S101, which is used to acquire signal Sga, can be omitted.

[0336] Components in the human body, such as cell membranes, cytofluid, blood vessels, and fat, can exhibit impedance effects under electrical excitation. The impedance of different parts of the body can be viewed as couplings of capacitors and resistors of varying magnitudes. Due to differences in the water, fat, muscle, and bone content of different parts of the body, the equivalent impedance exhibited by different parts under the same electrical excitation varies. The excitation current input to device 10 and the acquired signal Sgb can be used to reflect the equivalent impedance of different parts. In other words, under the same input excitation current, the signal Sgb can, to some extent, distinguish different wearing sites of device 10.

[0337] For example, the device 10 can apply the same excitation current to the wearing site and determine the current wearing site based on the magnitude of the detected signal Sgb.

[0338] One possibility is that when an excitation current Ce is applied, the amplitude of the detected signal Sgb falls within the range Rn1. In this case, the device 10 can determine that the device is being worn on the user's limbs.

[0339] One possibility is that when an excitation current Ce is applied, the amplitude of the detected signal Sgb falls within the range Rn2. In this case, the device 10 can determine that it is being worn on the user's chest.

[0340] One possibility is that when an excitation current Ce is applied, the amplitude of the signal Sgb is detected to be within the range Rn3. In this case, the device 10 can determine that it is being worn on the user's head.

[0341] For example, the bioimpedance of the human arm is approximately V11Ω-V12Ω, that of the leg is approximately V13Ω-V14Ω, that of the chest is approximately V21Ω-V22Ω, and that of the forehead is approximately V31Ω-V32Ω. Alternatively, as an example, the range Rn1 can be V11Ω-V12Ω or V13Ω-V14Ω, Rn2 can be V21Ω-V22Ω, and Rn3 can be V31Ω-V32Ω.

[0342] The bioimpedance Rc of the wearing site can be calculated from the amplitude of the excitation current Ce and the corresponding signal Sgb. In the aforementioned example, if the bioimpedance Rc of the wearing site is V11Ω-V12Ω, it can be determined that the device 10 is worn on the user's arm; if the bioimpedance Rc of the wearing site is V13Ω-V14Ω, it can be determined that the device 10 is worn on the user's leg; if the bioimpedance Rc of the wearing site is V21Ω-V22Ω, it can be determined that the device 10 is worn on the user's chest; and if the bioimpedance Rc of the wearing site is V31Ω-V32Ω, it can be determined that the device 10 is worn on the user's forehead.

[0343] In some examples, device 10 can combine signals Sga and Sgb to determine the wearing location.

[0344] The device 10 combines signals Sga and Sgb to determine the wearing location, which helps improve the accuracy and reliability of the device 10 in identifying the wearing location.

[0345] For example, device 10 can determine possible wearing sites as site Bd1 and possible wearing site Bd2 based on signals Sga and Sgb, respectively. The process by which device 10 determines possible wearing site Bd1 based on signal Sga and possible wearing site Bd2 based on signal Sgb can be referred to the description above, and will not be repeated here.

[0346] One possibility is that the aforementioned possible wearing location Bd1 and possible wearing location Bd2 are the same location. In this case, the device 10 can determine that the wearing location is the aforementioned possible wearing location Bd1 (or possible wearing location Bd2).

[0347] One possibility is that the aforementioned possible wearing locations Bd1 and Bd2 are not the same location. In this case, the device 10 can determine the wearing location based on the probability of the aforementioned possible wearing location Bd1 and the probability of the possible wearing location Bd2.

[0348] In some examples, the result of device 10 determining a possible wearing site Bd1 based on signal Sga may include information on confidence level α1, which can be used to indicate the probability of a possible wearing site Bd1. Similarly, the structure of device 10 determining a possible wearing site Bd2 based on signal Sgb may also include information on confidence level α2, which can be used to indicate the probability of a possible wearing site Bd2.

[0349] As one implementation, the aforementioned confidence level α1 can be determined based on the deviation between the measured value of signal Sga and the reference range of signal Sga, and the aforementioned confidence level α2 can be determined based on the deviation between the measured value of signal Sgb and the reference range of signal Sgb. In other words, the probability of the aforementioned possible wearing location Bd1 can be determined by the deviation between the measured value of signal Sga and the reference range of signal Sga, and the probability of the possible wearing location Bd2 can be determined by the deviation between the measured value of signal Sgb and the reference range of signal Sgb.

[0350] For example, the probability of a possible wearing site Bd1 is 85%, and the probability of a possible wearing site Bd2 is 56%. In this case, the device 10 can determine that the more probable wearing site Bd1 is the wearing site.

[0351] In some examples, the probabilities of determining possible wearing sites Bd11 and Bd12 based on signal Sga are Pr11% and Pr12, respectively, and the probabilities of determining possible wearing sites Bd11 and Bd12 based on signal Sgb are Pr21% and Pr22%, respectively. In this case, device 10 can determine the wearing site based on the weights of the influence of signals Sga and Sgb on the final result, as well as the probabilities of the aforementioned possible wearing sites.

[0352] For example, the probabilities Pr11%, Pr12%, Pr21%, and Pr22% mentioned above can be 55%, 45%, 30%, and 70%, respectively. Based solely on signal Sga, the possible wearing site Bd11 can be determined; based solely on signal Sgb, the possible wearing site Bd12 can be determined; the results of the two methods of determining the wearing site are different. For example, the weight of signal Sga's influence on the final result can be 0.6, and the weight of signal Sgb's influence on the final result can be 0.4.

[0353] Based on the above data, the overall probability of the possible wearing site Bd11 can be obtained as: PrA% = Pr11% × 0.6 + Pr21% × 0.4 = 45%;

[0354] Based on the above data, the overall probability of the possible wearing site Bd12 can be obtained as: PrB% = Pr12% × 0.6 + Pr22% × 0.4 = 55%.

[0355] Based on the results of the comprehensive evaluation above, device 10 can determine the wearing location as the possible wearing location Bd12.

[0356] In some examples, device 10 can continuously detect the above-mentioned signals Sga and Sgb over a period of time, and determine the possible wearing position multiple times based on the signals Sga and Sgb detected during that period of time. Combining the multiple determined possible wearing positions, device 10 can determine the aforementioned wearing position.

[0357] Device 10 can improve the reliability of the results of automatic identification of the wearing position by increasing the total number of detections of signal Sga and signal Sgb, which helps to simplify the user's operation process of using device 10 and improve the user experience.

[0358] As shown in Figure 15, this application embodiment provides another method for detecting physiological signals. The device 10 can automatically adjust the signal processing gain according to different wearing locations, so that the physiological signals collected by the device 10 at different locations can be accurate and reliable.

[0359] S201, Determine the wearing location.

[0360] In some examples, device 10 can determine the wearing position of device 10 according to the method described above.

[0361] For example, device 10 can determine the wearing position of device 10 based on the signal Sga and / or signal Sgb mentioned above. For a detailed description of device 10 determining the wearing position, please refer to the content mentioned above, which will not be repeated here.

[0362] S202, determine the signal processing gain.

[0363] In some examples, device 10 can determine a user's health status by collecting the signal Sgc.

[0364] For example, the signal Sgc may include one or more of the following signals: electroencephalogram (EEG) signal, electrocardiogram (ECG) signal, and surface electromyography (EMG) signal.

[0365] Since the electrodes of device 10 can simultaneously acquire the electroencephalogram (EEG), electrocardiogram (ECG), and surface electromyography (EMG) signals mentioned above, and the amplitudes of these signals differ, the signal processing gain of these signals can be adjusted to facilitate subsequent processing.

[0366] The signal processing gain corresponding to the EEG signal can be A1, the signal processing gain corresponding to the ECG signal can be A2, and the signal processing gain corresponding to the surface electromyography signal can be A3.

[0367] Given that the signal amplitude of EEG signals is relatively small, the signal processing gain A1 can be set to a larger value, while the signal processing gains A2 and A3 can be set to smaller values. In other words, in some examples, the signal processing gain A1 is greater than the signal processing gain A2, and the signal processing gain A3 is greater than the signal processing gain A3.

[0368] As an example, signal processing gain A2 can be equal to signal processing gain A3.

[0369] As an implementation, in conjunction with Figure 9 above, device 10 can use the multiplexer 510 in the analog front-end circuit 430 to filter out the above-mentioned EEG signal, ECG signal and surface electromyography signal from the various signals collected by the acquisition electrodes, and use programmable amplifier 512 to set a larger signal processing gain A1 for the EEG signal, and set smaller signal processing gains A2 and signal processing gains A3 for the ECG signal and surface electromyography signal, respectively.

[0370] Specifically, the aforementioned electroencephalogram (EEG), electrocardiogram (ECG), and surface electromyography (EMG) signals can be transmitted through different channels; the multiplexer 510 can control the connection and disconnection of these channels so that the multiplexer 510 can output one of the aforementioned three signals to the programmable amplifier 512 respectively; the programmable amplifier 512 can set different signal processing gains for the signals in different channels in the manner described above.

[0371] S203, process signal Sgc using the adjusted signal processing gain.

[0372] Here, the signal Sgc may include one or more of the aforementioned electroencephalogram (EEG) signal, electrocardiogram (ECG) signal, and surface electromyography (EMG) signal, and the device 10 can determine the user's health status based on the signal Sgc.

[0373] For example, device 10 can determine a user's sleep quality and identify potential sleep problems based on electroencephalogram (EEG) signals.

[0374] For example, device 10 can determine a user's cardiovascular health status based on electrocardiogram signals, and identify possible cardiovascular diseases in the user.

[0375] For example, device 10 can determine the degree of muscle fatigue of the user, determine whether the user is in pain, etc., based on surface electromyography signals.

[0376] After acquiring electroencephalogram (EEG), electrocardiogram (ECG), and surface electromyography (EMG) signals using signal processing gains A1, A2, and A3 respectively, device 10 can perform analog-to-digital conversion on these signals to form digital signals. Device 10 can then analyze and process these digital signals to determine the user's health status.

[0377] As an implementation, when the device 10 is worn on the head, the device 10 can prioritize the acquisition of electroencephalogram (EEG) signals. In this case, the device 10 can determine that the wearing site is the head, and can process the EEG signals using the aforementioned signal processing gain A1.

[0378] As an implementation, when the device 10 is worn on the chest, the device 10 can preferentially acquire electrocardiogram (ECG) signals. In this case, the device 10 can determine that the wearing location is the chest and can use the aforementioned signal processing gain A2 to process the EEG signals.

[0379] As an implementation, when the device 10 is worn on the limbs, the device 10 can preferentially acquire surface electromyography signals. In this case, the device 10 can determine that the wearing site is the limbs and can process the surface electromyography signals using the aforementioned signal processing gain A3.

[0380] In some examples, the signal processing gain of the signal Sgc acquired by device 10 can be set with an initial value (e.g., signal processing gain A0). When device 10 identifies the wearing position, device 10 can adjust the initial value to the corresponding signal processing gain according to the wearing position.

[0381] It should be noted that, in one possible scenario, the initial signal processing gain A0 may be equal to one or more of the aforementioned signal processing gains A1, A2, or A3. If the initial signal processing gain A0 is equal to the value of the signal processing gain to be adjusted, the device 10 may not change the initial signal processing gain A0; in other words, the device 10 may continue to use the initial signal processing gain A0.

[0382] The device 10 can use different signal processing gains for different physiological signals. In this way, the signal quality of the various physiological signals collected by the device 10 can be at a relatively good level. This is beneficial to improving the accuracy of the device 10 in determining the user's health status using these physiological signals, improving the efficiency of the device 10 in determining the user's physical condition, and enhancing the user experience.

[0383] As explained earlier, device 10 can include various circuit components, sensors, and other electronic components, enabling device 10 to perform a variety of different functions. These functions can act on the same wearing area, or they can act on different wearing areas. When these functions apply to different wearing areas, a feasible approach is for the user to manually select the desired device function based on the wearing area.

[0384] To simplify the user's operation of device 10 and improve the energy utilization efficiency of device 10, as shown in FIG16, this application embodiment also provides a method of using device 10, which can identify the user's wearing part and activate the function corresponding to the wearing part.

[0385] S301, Determine the wearing location.

[0386] In some examples, device 10 can determine the wearing position of device 10 according to the method described above.

[0387] For example, device 10 can determine the wearing position of device 10 based on the signal Sga and / or signal Sgb mentioned above. For a detailed description of device 10 determining the wearing position, please refer to the content mentioned above, which will not be repeated here.

[0388] S302, enable preset functions.

[0389] Here, preset functions may include functions corresponding to the wearing part, or in other words, preset functions may include functions that can act on the wearing part.

[0390] In one possible implementation, device 10 can accept user input to enable preset functions.

[0391] In some examples, the user's action may include selecting one or more preset functions from a variety of preset functions and confirming the selection, or the user's action may include confirming the activation of one or more preset functions recommended by device 10.

[0392] For example, device 10 may display an interface that includes one or more functions (preset functions) corresponding to the wearing part, and device 10 may enable the preset function in response to the user's operation of selecting one or more preset functions.

[0393] For example, before displaying an interface including preset functions, device 10 may display an interface for selecting a working mode and / or application scenario. In response to the operation of selecting a working mode and / or application scenario, device 10 may display an interface including preset functions.

[0394] For example, before displaying an interface including preset functions, device 10 may detect a target application scenario and display an interface containing indication information of the target application scenario. In response to an operation confirming the target application scenario, device 10 may display an interface including preset functions.

[0395] As an example, the operating modes of device 10 may include one or more of the following: sleep assistance mode, physiological data detection mode, muscle therapy mode, etc.

[0396] As an example, the application scenarios of device 10 may include one or more of the following: sleep scenarios, exercise scenarios, health monitoring scenarios, muscle therapy scenarios, emotion monitoring scenarios, etc.

[0397] In one possible implementation, device 10 can receive information from other electronic devices to enable preset functions.

[0398] As an example, the information here can be used to instruct the execution of an auxiliary operation, which is an operation related to a first operation performed by other electronic devices. For example, the auxiliary operation and the first operation may be two operations belonging to the same operating mode, or the auxiliary operation and the first operation may be two operations that can be applied in the same application scenario.

[0399] Here, "performing an auxiliary operation" and "activating a preset function" can have the same meaning. In other words, when a device 10 receives an instruction to perform an auxiliary operation, it can activate a preset function; when a device 10 receives an instruction to activate a preset function, it can perform an auxiliary operation.

[0400] The details regarding auxiliary operations and information from other electronic devices will be described in detail in the embodiments below, and will not be elaborated here.

[0401] As an example, the information here could be control information from other electronic devices (such as wristbands, watches, mobile phones, etc.). In other words, the user can control device 10 to enable preset functions by operating other electronic devices.

[0402] For example, when a user enables sleep mode on their phone, the phone can send control information to device 10, which can be used to instruct device 10 to enable the sleep quality detection function. Upon receiving the control information, device 10 can determine that it is being worn on the user's head, and based on this, device 10 can enable the sleep quality detection function. If device 10 is not detected to be worn on the head, device 10 can prompt the user to wear the device correctly, and if it is confirmed that the user is wearing device 10 correctly, it can enable the sleep quality detection function.

[0403] For example, a user can control the smart glasses to send control information to device 10, which can be used to instruct device 10 to activate the muscle rehabilitation therapy function. Upon receiving the control information, device 10 can determine that it is being worn on the user's limbs, and based on this, device 10 can activate the muscle rehabilitation therapy function. If device 10 is not detected to be worn on the limbs, device 10 can prompt the user to wear the device correctly, and upon confirming that the user is wearing device 10 correctly, activate the muscle rehabilitation therapy function.

[0404] One possible scenario is that after determining the wearing position, device 10 receives the aforementioned control information from another electronic device. In this case, if the function indicated by the control information corresponds to the current wearing position of device 10 (e.g., the control information indicates the activation of the sleep quality detection function, and device 10 is currently worn on the head), device 10 can activate the function indicated by the control information; if the function indicated by the control information does not correspond to the current wearing position of device 10 (e.g., the control information indicates the activation of the sleep quality detection function, but device 10 is currently worn on the user's arm), device 10 can prompt the user to adjust the wearing position. When worn in the position corresponding to the function indicated by the control information, device 10 activates the corresponding function.

[0405] One possibility is that device 10 receives the aforementioned control information from another electronic device before determining the wearing position. In this case, device 10 can prompt the user to wear the device on the corresponding position, and upon detecting that device 10 is worn on the aforementioned position, activate the control information indication function.

[0406] In other words, device 10 can detect the wearing position before receiving control information from other devices, or it can detect the wearing position after receiving control information from other devices.

[0407] In one possible implementation, the device 10 can automatically activate a preset function when it is detected that the device is being worn on the wearing area.

[0408] As an example, the preset functions that device 10 automatically activates can be the functions that the user uses most frequently. For instance, when device 10 is worn on the head, the function that the user uses most frequently could be the electroencephalogram (EEG) detection function. Based on this, if device 10 detects that it is worn on the user's head, device 10 can automatically activate the EEG detection function. As another example, when device 10 is worn on the chest, the function that the user uses most frequently could be the electrocardiogram (ECG) detection function. Based on this, if device 10 detects that it is worn on the user's chest, device 10 can automatically activate the ECG detection function.

[0409] As one implementation, device 10 can store historical information about user usage of device 10. This historical information can be used to indicate the frequency of use of different device functions when the user wears device 10 on different parts of the body. Based on this historical information, device 10 can automatically activate the most frequently used functions.

[0410] As an example, the preset functions that device 10 automatically activates can be functions that match the user's current physical condition and activity level. For instance, in a scenario where the user is about to fall asleep at night, if device 10 detects that it is being worn on the user's head, device 10 can automatically activate the sleep quality detection function. As another example, in a scenario where the user's limbs are sore after exercise, if device 10 detects that it is being worn on the user's arm, device 10 can automatically activate the muscle rehabilitation therapy function.

[0411] As one implementation, device 10 can detect information such as the user's physiological data to determine the user's physical condition and activity status, thereby activating a function that matches the user's current physical condition and activity status. Based on this, device 10 can automatically activate the function that matches the user's current physical condition and activity status.

[0412] As an example, the preset functions that device 10 automatically activates can be functions that match the user's current scenario. For example, in a sleep scenario, device 10 can automatically activate sleep quality detection and / or sleep intervention functions. As another example, in a muscle therapy scenario, device 10 can automatically activate muscle rehabilitation therapy functions.

[0413] As an example, device 10 can have a timed start function. The user can pre-set device 10's function F1 to start at time t1. Based on this, device 10 can obtain time information and start function F1 at time t1.

[0414] For example, a user can set the sleep quality detection function of device 10 to be turned on at 9:30 pm every night. Device 10 can detect whether it is being worn on the user's head before 9:30 pm. If device 10 is being worn on the head, it can turn on the sleep quality detection function at 9:30 pm. As an example, if device 10 detects that the user is not wearing it or that it is being worn on a part other than the head at 9:30 pm, device 10 can prompt the user to wear it correctly or prompt the user to manually turn on the sleep quality detection function.

[0415] One possible scenario is that the device 10 is worn on the user's limbs. In this case, the aforementioned preset functions may include one or more of the following: muscle and nerve function detection, motion recognition, muscle rehabilitation therapy, stimulation of sweating, measurement of skin temperature, detection of pressure pulse waves, or detection of blood pressure.

[0416] For example, when the device 10 is worn on the limbs, the device 10 can output medium-frequency pulse (1-100kHz, mA level) current through electrodes to stimulate the contraction and relaxation of the limb muscles, thereby realizing functions such as limb muscle physiotherapy, muscle relaxation and rehabilitation.

[0417] For example, when the device 10 is worn on the limbs, before detecting the above signal Sg3, the device 10 can stimulate the skin sweat glands to sweat by outputting a low-frequency current (10-50Hz, mA level) for 30 seconds through the electrodes, thereby reducing the contact impedance of the electrodes and improving the quality of the acquired surface electromyography signal.

[0418] For example, when the device 10 is worn on the limbs, the negative temperature coefficient sensor of the device 10 can detect the skin temperature of the user's limbs.

[0419] For example, when the device 10 is worn on the limbs, the polyvinylidene fluoride sensor of the device 10 can detect pressure pulse waves at the user's limbs and measure the user's blood pressure to reflect the user's vascular health.

[0420] One possible scenario is that the device 10 is worn on the user's chest. In this case, the aforementioned preset functions may include one or more of the following: detecting heart rate, detecting heart rate variability, measuring skin temperature, detecting heart and lung sounds, or detecting respiratory signals.

[0421] For example, when the device 10 is worn on the user's chest, one or more of the accelerometer, pressure sensor, polyvinylidene fluoride sensor or capacitive acoustic sensor of the device 10 can detect the user's heart and lung sounds, detect the user's respiratory signals, etc., thereby assessing the user's heart and lung function and preventing cardiovascular diseases.

[0422] One possible scenario is that the device 10 is worn on the user's head. In this case, the aforementioned preset functions may include one or more of the following: sleep quality detection, sleep assistance, snoring or teeth grinding detection, or skin temperature detection.

[0423] For example, when the device 10 is worn on the user's forehead, the device 10 can output a low-frequency current (50-100Hz, μm level) through electrodes to stimulate simulated human brain waves and assist the user in sleeping.

[0424] For example, when the device 10 is worn on the user's forehead, the device 10 can collect electroencephalogram (EEG) signals through electrodes and assess the user's sleep quality based on the signals.

[0425] For example, when the device 10 is worn on the user's forehead, the device 10 can detect the skin temperature of the user's forehead using a negative temperature coefficient sensor.

[0426] For example, when the device 10 is worn on the user's forehead, the device 10 can detect snoring or teeth grinding during the user's sleep by one or more of an accelerometer, a pressure sensor or a polyvinylidene fluoride sensor.

[0427] One possibility is that the device 10 can also be worn on other parts of the body. In this case, the device 10 can also activate the preset functions corresponding to that part of the body.

[0428] For example, when the device 10 is worn on the chin, it can detect whether the user is snoring. If snoring is detected, the device 10 can activate an anti-snoring stimulation function. For instance, the device 10 can output a low-frequency pulsed current (10-60Hz) through electrodes to stimulate the user's throat muscles, thereby adjusting the user's breathing and improving problems such as sleep apnea syndrome. Alternatively, the device 10 can activate a vibration motor to induce a state of slight arousal in the user, thereby improving the user's sleeping posture.

[0429] In various scenarios such as health monitoring, sleep assistance, and rehabilitation therapy, using multiple devices simultaneously for testing, assistance, or therapy can improve the user experience and enhance the accuracy of testing, the effectiveness of assistance, and the therapeutic effect. In these scenarios, multiple devices need to work together. One feasible approach is for the user to manually activate multiple devices and select the corresponding functions. However, when many devices are working together, this method requires the user to repeatedly operate different devices, significantly reducing the user experience and resulting in low efficiency for multi-device collaboration.

[0430] To address the aforementioned application scenarios and improve the efficiency of collaborative work among multiple devices, thereby enhancing the user experience, as shown in Figure 17, this embodiment of the application provides a communication method. After determining the wearing location, device 10 performs a first operation. Device 10 can also send information to other devices. In response to this information, other devices can perform a second operation. The first and second operations can be interconnected, for example, used to achieve the same function. Multiple devices can operate in conjunction to jointly complete tasks, resulting in a better user experience and higher efficiency in device collaboration.

[0431] S401, Device 10 determines the wearing location.

[0432] In some examples, device 10 can determine the wearing position of device 10 according to the method described above.

[0433] For example, device 10 can determine the wearing position of device 10 based on the signal Sga and / or signal Sgb mentioned above. For a detailed description of device 10 determining the wearing position, please refer to the content mentioned above, which will not be repeated here.

[0434] S402, Device 10 performs the first operation.

[0435] In some examples, the first operation may refer to the operation of device 10 adjusting the signal processing gain to process signal Sgc.

[0436] For a detailed explanation of this section, please refer to the relevant content shown in Figure 15 above.

[0437] In some examples, the first operation may refer to the operation of device 10 activating a preset function corresponding to the wearing part.

[0438] For a detailed explanation of this section, please refer to the relevant content shown in Figure 16 above.

[0439] In some examples, the first operation may also include the operation of device 10 adjusting the signal processing gain to process signal Sgc and the operation of enabling the aforementioned preset function.

[0440] S403, device 10 sends the first information, and correspondingly, device 30 receives the first information.

[0441] In some examples, device 30 can be a device that can establish a communication connection with device 10.

[0442] For example, device 30 may be a device that has previously established a communication connection with device 10, or device 30 may be a device connected to device 10 in the same network environment (such as a wireless local area network), or device 30 may be a device with the same or similar communication module as device 10 (for example, both device 10 and device 30 include a Bluetooth communication module, a Starlight communication module, or a near-field communication module, etc.).

[0443] As an example, device 30 can be another device 10, which can establish a communication connection with the aforementioned device 10 via wired and / or wireless means. For example, device 20 mentioned above includes multiple devices 10, and communication connections can be established between the multiple devices 10.

[0444] As an example, device 30 can be a mobile phone, tablet, foldable electronic device, etc., or device 30 can be a wearable device such as a watch, bracelet, or smart glasses.

[0445] In some examples, the first information can be used to indicate that device 10 is performing the first operation described above.

[0446] For example, the first information can be used to indicate that device 10 is collecting physiological signals. Or, for example, the first information can be used to indicate that device 10 is performing a preset function.

[0447] In some examples, the first information can be used to indicate the wearing location of device 10.

[0448] For example, the first information can be used to indicate that the device 10 is worn on any part of the head, chest, or limbs.

[0449] In some examples, the initial information may be used to indicate the operating mode and / or application scenario of device 10.

[0450] For example, the above working modes may include sleep assistance mode, physiological data detection mode, muscle therapy mode, etc.

[0451] For example, the above application scenarios may include sleep scenarios, exercise scenarios, health monitoring scenarios, muscle therapy scenarios, emotion monitoring scenarios, etc.

[0452] The aforementioned operating mode can be associated with the first operation performed by device 10, and the aforementioned application scenario can be associated with the first operation performed by device 10. In other words, the aforementioned first operation can indicate the operating mode and / or application scenario of device 10. For example, the first operation is the operation performed by device 10 in operating mode Wm1, and the first operation can be the operation performed by device 10 in application scenario As1.

[0453] It should be noted that device 10 can perform the same operation in different operating modes or application scenarios. For example, in both sleep assistance mode and muscle therapy mode, device 10 can output stimulating current. For example, in both sleep and exercise scenarios, device 10 can detect the user's heart rate. In the same operating mode or application scenario, the aforementioned first operation performed by device 10 can also be varied. For example, in sleep assistance mode or sleep scenario, the aforementioned first operation can be either applying stimulating current or detecting the user's electroencephalogram (EEG) signal.

[0454] In other words, the working mode and the aforementioned first operation may not be in a one-to-one correspondence. Similarly, the application scenario and the aforementioned first operation may not be in a one-to-one correspondence.

[0455] In some examples, the initial information can be used to instruct the execution of auxiliary operations.

[0456] Here, auxiliary operations can be understood as operations related to the aforementioned first operation, or in other words, auxiliary operations and the first operation can be used to achieve similar purposes or functions.

[0457] For example, the aforementioned first operation can be used to detect whether the user is snoring or grinding their teeth. In this case, the auxiliary operation may include detecting whether the user is experiencing sleep apnea or hypoxia through an accelerometer and / or photoplethysmography sensor.

[0458] For example, in a sleep scenario, the aforementioned first operation can be used to detect the user's electrocardiogram signal. In this case, the auxiliary operation may include acquiring photoplethysmography signals from the user's limbs, acquiring accelerometer signals from the user's chest, and acquiring pressure signals from the user's chest.

[0459] For example, in a motion scenario, the aforementioned first operation can be used to detect the electrocardiogram signal at the user's chest. In this case, the auxiliary operation can be to collect photoplethysmography signals and accelerometer signals from the user's limbs.

[0460] For example, in a sleep scenario, the aforementioned first operation can be used to detect whether the user is snoring or grinding their teeth. In this case, the auxiliary operation can be used to turn on the vibration motor.

[0461] For example, in a sleep scenario, the aforementioned first operation can be used to assist the user in sleeping. In this case, the auxiliary operation can be used to turn on sleep-aid audio, adjust environmental parameters such as temperature, humidity, noise, and brightness of the sleep environment. For instance, the auxiliary operation can be used to adjust the air conditioner temperature, or, for example, to turn on the mattress heating function.

[0462] One possibility is that, if the first information is used to indicate the operating mode, application scenario, or the first operation being performed by the device 10, this first information can also be used to indicate the execution of auxiliary operations. Alternatively, the operating mode, application scenario, and the first operation performed by the device 10 can all be used to indicate the execution of auxiliary operations.

[0463] In other words, the aforementioned auxiliary operation can be associated with the first operation, or the auxiliary operation and the first operation can be two operations belonging to the same working mode, or the auxiliary operation and the first operation can be two operations that can be applied to the same application scenario.

[0464] For example, the first operation can be used to detect the user's electrocardiogram signal, and the auxiliary operation can include collecting photoplethysmography signals from the user's limbs. Both of these operations can belong to the physiological signal detection working mode.

[0465] For example, both the first operation and the auxiliary operation can be detecting the user's electroencephalogram (EEG) signals, and both operations can be performed during sleep. Here, the device 10 for performing the first operation and the device for performing the auxiliary operation can be used to detect EEG signals from different regions of the user's head.

[0466] In some examples, the first information may include the result of the execution of the first operation described above.

[0467] For example, the first information may include the detection result of the signal Sgc.

[0468] For example, the first information may include one or more of the following: the results of muscle and nerve function testing, the results of motion recognition, the results of muscle rehabilitation therapy, the results of stimulation to sweat, the results of skin temperature measurement, or the results of blood pressure testing, etc.

[0469] For example, the first information may include one or more of the following: the results of sleep quality testing, the results of sleep aid function execution, the results of snoring or teeth grinding testing, etc.

[0470] For example, the first information may include one or more of the following: the result of heart rate detection, the result of heart rate variability detection, the result of cardiopulmonary sound detection, or the result of respiratory signal detection.

[0471] S404, Device 30 performs the second operation.

[0472] In some examples, the second operation can be used to display the result of the first operation.

[0473] If the first information includes the execution result of the first operation, the second operation can be used to display the execution result of the first operation.

[0474] In some examples, the second operation may include the auxiliary operation described in S403 above.

[0475] When the first information is used to perform an auxiliary operation, the second operation may include the auxiliary operation.

[0476] The wearable device and physiological signal detection method provided in the embodiments of this application have been described in detail above. The following description, in conjunction with the process of a user using the aforementioned physiological signal detection device, further illustrates the device and method for physiological signal detection.

[0477] In some examples, in response to a user activating device 10, device 10 may display an interface 601 as shown in Figure 18, which can be used to prompt the user to wear the device correctly. For example, the interface 601 may include images, text, or animations showing the correct way to wear device 10.

[0478] In some examples, device 10 can enable the wearing site recognition function. In response to a user wearing device 10 on a first wearing site, device 10 can display interface 602 as shown in Figure 19. This interface 602 can be used to display the possible wearing sites detected by device 10. This interface 602 can also be used by the user to confirm whether the currently detected wearing site is correct.

[0479] For example, interface 602 may display images or text information to indicate possible wearing sites detected by device 10.

[0480] For example, interface 602 may include controls 701 and 702. In response to a user selecting control 701, device 10 can determine that the detected possible wearing position is correct; in response to a user selecting control 702, device 10 can determine that the detected possible wearing position is incorrect. If the possible wearing position is determined to be correct, device 10 can display functions related to that wearing position, such as interfaces 605 to 607 hereinafter, through which the user can select the desired function; if the possible wearing position is determined to be incorrect, device 10 can display interfaces for selecting the wearing position, such as interfaces 603 or 604 hereinafter, through which the user can select the wearing position.

[0481] In some examples, device 10 may not have the wearing location recognition function enabled. In this case, device 10 may display interface 603 as shown in FIG20, which may include multiple options for wearing locations, such as forehead, chest, arm, or chin. In response to the user selecting one of the options, device 10 can determine that the wearing location is the location indicated by that option.

[0482] In some examples, the wearing position of device 10 may be changed during use. In response to the change of wearing position, device 10 may display an interface 604 as shown in FIG21, which can be used to prompt the user to reselect the wearing position. Exemplarily, the interface 604 may include multiple options for wearing positions to choose from, such as forehead, chest, arm, or chin. In response to the user selecting one of the options, device 10 can determine that the changed wearing position is the position indicated by that option.

[0483] In some examples, when the wearing location is determined, device 10 can display device functions related to that location.

[0484] For example, when worn on the head, device 10 can display interface 605-1 as shown in schematic diagram 22-1 of FIG22. This interface 605-1 can be used to prompt the user to select the desired device function. For example, interface 605-1 can include multiple device function options. In response to the user selecting one or more of these device function options, device 10 can activate the corresponding function.

[0485] For example, interface 605-1 may include "sleep quality detection" function options, "brain health detection" function options, etc.

[0486] For example, in response to a user selecting the "Sleep Quality Detection" function option, device 10 can display interface 605-2 as shown in schematic diagram 22-2 of Figure 22. Interface 605-2 can include multiple options related to the "Sleep Quality Detection" function, such as "Sleep Onset Intervention" and "Anti-Snoring Intervention." Similarly, in response to a user selecting the "Brain Health Detection" function option, device 10 can display interface 605-3 as shown in schematic diagram 22-3 of Figure 22. Interface 605-3 can include multiple options related to the "Brain Health Detection" function, such as "Forehead Temperature Detection," "EEG Detection," and "Blood Oxygen Content Detection." In response to a user selecting one or more of these options, device 10 can activate the corresponding function.

[0487] For example, in response to a user selecting the "sleep intervention" function option, device 10 can display an interface containing one or more of the following function options: electrical stimulation, playing music from a mobile phone, controlling smart home devices, etc. The user can activate the corresponding function by selecting one or more of these function options.

[0488] For example, in response to a user selecting the "anti-snoring intervention" function option, device 10 can prompt the user to wear device 10 under their chin. If device 10 detects snoring, it can intervene in the user's sleep with micro-vibrations or electrical stimulation to achieve the purpose of stopping snoring.

[0489] For example, in response to a user selecting the "Brain Health Monitoring" function option, device 10 can display an interface containing one or more of the following function options: forehead temperature detection, electroencephalogram (EEG) detection, and blood oxygen saturation detection. The user can activate the corresponding function by selecting one or more of these options.

[0490] When worn on the chest, device 10 can display interface 606 as shown in FIG23. This interface 606 can be used to prompt the user to select the desired device function. For example, the interface 606 may include multiple device function options, and in response to the user selecting one or more of these device function options, device 10 can activate the corresponding function.

[0491] For example, interface 606 may include options for "cardiopulmonary sound detection", "body temperature detection", "blood oxygen content detection", "respiratory function detection", or "electrocardiogram detection". In response to the user's selection of the "cardiopulmonary sound detection" and "electrocardiogram detection" options, device 10 can activate the cardiopulmonary sound detection and electrocardiogram detection functions.

[0492] When the device is worn on a limb (e.g., an arm), the device 10 can display an interface 607-1 as shown in schematic diagram 24-1 of FIG24. This interface 607-1 can be used to prompt the user to select the desired device function. For example, the interface 607-1 may include multiple device function options, and in response to the user selecting one or more of these device function options, the device 10 can activate the corresponding function.

[0493] For example, interface 607-1 may include a "muscle rehabilitation therapy" function option and a "limb health detection" function option. In response to the user's selection of the "muscle health therapy" and "limb health detection" function options, device 10 can activate the muscle health therapy function and the limb health detection function.

[0494] As an implementation, in response to the user selecting the "limb health detection" function option, device 10 can display interface 607-2 as shown in schematic diagram 24-2 of Figure 24. Interface 607-2 can include multiple function options related to the "limb health detection" function option. For example, "arm pulse" function option, "blood oxygen content detection" function option, "skin temperature detection" function option, "surface electromyography detection" function option, and "arm radial artery blood pressure detection" function option. When the user selects the "surface electromyography detection" function option, device 10 can prompt the user to activate the electrical stimulation sweating function to improve the accuracy of surface electromyography detection.

[0495] In some examples, when the device 10 is activating the function corresponding to the wearing part, the device 10 can display the interface 608 shown in Figure 25, which can be used to prompt the user to activate the accessibility function.

[0496] For example, when the sleep assistance function is enabled on device 10, interface 608 can be used to prompt the user to adjust the temperature, humidity, etc. of the sleep environment, or interface 608 can also be used to prompt the user to play sleep-aid audio on their mobile phone.

[0497] For example, when the heart health monitoring function is enabled on device 10, interface 608 can be used to prompt the user to use the wristband to monitor blood oxygen levels.

[0498] In some examples, when the device 10 activates the function corresponding to the wearing part, the device 10 can send an instruction message to the device used to perform the assistive function, instructing the device to activate the assistive function. For related explanations, please refer to the content of Figure 17 above, which will not be repeated here.

[0499] In the above examples, device 10 can provide functions applicable to the wearing area. In some examples, device 10 can be configured with one or more operating modes, and can provide functions corresponding to the mode selected by the user. Similarly, device 10 can also provide functions corresponding to the application scenario selected by the user. The following explanation uses the user's selection of device 10's operating mode as an example.

[0500] In some examples, as shown in Figure 26, device 10 may display interface 609, which may include one or more operating modes, such as sleep mode, exercise mode, muscle therapy mode, etc. In response to a user selecting one of the operating modes, device 10 can determine the operating mode that the device needs to activate.

[0501] In some examples, device 10 can detect the user's physiological data and determine the user's activity status based on this data. Based on this, device 10 can prompt the user to activate a working mode (or application scenario) appropriate to their current activity status.

[0502] For example, device 10 can determine that the user is in motion by motion sensors. Based on this, device 10 can display interface 610 as shown in FIG27. The interface 610 can include information Ms01, which can be used to indicate that the user is currently in motion. The information Ms01 can also be used to prompt the user to turn on the motion mode of device 10.

[0503] As one implementation, the interface 610 may include controls 703 and 704. In response to the operation of selecting control 703, the device 10 may enable motion mode; in response to the operation of selecting control 704, the device 10 may not enable motion mode. For example, the device 10 may continue to operate according to the working mode currently selected by the user.

[0504] For example, the device 10 can also determine that the user is lying down by using a motion sensor. Combined with the user's electroencephalogram (EEG) signal, the device 10 can determine that the user is about to fall asleep. Based on this, the device 10 can activate the sleep mode.

[0505] In some examples, device 10 can receive indication information from other devices. This indication information can be used to indicate one or more of the following: the user's activity status, the user's current scene, the working mode of other electronic devices, etc. Device 10 can activate the corresponding working mode according to the indication information.

[0506] For example, device 10 can obtain indication information from wearable devices such as wristbands and watches that indicate that the user is in a state of exercise, and based on this, device 10 can activate exercise mode.

[0507] For example, device 10 can obtain indication information from home appliances (such as air conditioners, air purifiers, etc.) indicating that these appliances are in a "sleep" working mode, and based on this, device 10 can activate the sleep mode.

[0508] For example, device 10 can obtain information from a mobile phone indicating that the user is in the bedroom, and based on this, device 10 can activate sleep mode or muscle therapy mode.

[0509] In some examples, device 10 can activate the corresponding working mode by combining one or more of the above information. In addition, device 10 can also determine the user's activity status and the user's scene by combining information such as the current time and the user's location, and activate the corresponding working mode accordingly.

[0510] In some examples, when device 10 activates a function corresponding to the wearing part (e.g., a first function), device 10 can detect other electronic devices that can establish a communication connection with device 10. If it is determined that other devices can perform a second function associated with the aforementioned first function, device 10 can prompt the user to use other devices, or device 10 can prompt the user to use other devices to activate the second function.

[0511] For example, the aforementioned device 10 can enable the sleep assistance function. When it is detected that device B can also enable the sleep assistance function, device 10 can display the interface 611 shown in FIG28. The interface 611 can be used to indicate that device 10 has enabled the sleep assistance function. The interface 611 can also be used to prompt the user to enable the sleep assistance function of device B.

[0512] As one implementation, interface 611 may include controls 705 and 706. In response to the selection of control 705, device 10 may send an instruction to device B, which may be used to instruct device B to activate the sleep assistance function; upon receiving this information, device B may activate the sleep assistance function. In response to the selection of control 706, device 10 may choose not to send the aforementioned instruction to device B.

[0513] One possibility is that there can be multiple devices that can establish a communication connection with device 10 and perform sleep assistance functions. In this case, device 10 can send instruction information to one or more of these devices according to the user's selection, instructing the device selected by the user to enable the sleep assistance function.

[0514] As an example, devices C1, C2, and C3 can all establish a communication connection with device 10 and can all perform sleep assistance functions. In this case, when device 10 enables the sleep assistance function, device 10 can display interface 612 as shown in FIG29. This interface 612 can include the instruction information of the aforementioned devices C1, C2, and C3. This interface 612 can also be used to prompt the user to select the device to enable the sleep assistance function.

[0515] As one implementation, interface 612 may include option 801 for instructing device C1, option 802 for instructing device C2, and option 803 for instructing device C3. In response to selecting and confirming one or more of the aforementioned options 801, 802, or 803, device 10 may send instruction information to the device indicated by the user-selected option. This instruction information instructs the device corresponding to the option to activate the sleep assistance function. Upon receiving this information, the device corresponding to the option can activate the sleep assistance function. In response to not selecting any of the aforementioned options 801, 802, or 803, or in response to a cancellation operation performed on interface 612, device 10 may not send the aforementioned instruction information to the aforementioned devices.

[0516] In some examples, the aforementioned device 10 can enable the sleep assistance function. When it is detected that device B can also enable the sleep assistance function, device 10 can display the interface 613a shown in the schematic diagram 30-1 of FIG30. The interface 613a can be used to indicate that device 10 has enabled the sleep assistance function. The interface 613a can also be used to prompt to enable the sleep assistance function of device B. The interface 613a can also be used to indicate the usage method of device B.

[0517] For example, device B may have the same or similar structure and function as device 10 mentioned above. In this case, as shown in schematic diagram 30-1 in Figure 30, interface 613a may be used to instruct the user to wear device B on the chin. For example, interface 613a may include text information such as "wear device B on the chin". Interface 613a may also include pictures or animations to indicate the wearing position of device B.

[0518] In some examples, the aforementioned device 10 can enable the physiological parameter detection function. When it is detected that device B can also enable this function, device 10 can display interfaces 613b, 613c, etc. as shown in Figure 30. These interfaces can be used to indicate the wearing position of device 10, prompt the activation of the sleep assistance function of device B, and indicate the usage method of device B (e.g., wearing position).

[0519] For example, device B may have the same or similar structure and function as device 10 mentioned above, wherein one of device 10 and device B needs to be worn on the user's head and the other needs to be worn on the user's chest.

[0520] If device 10 is detected to be worn on the user's head and device B is not worn on the user's chest, as shown in interface 613b of schematic diagram 30-2 in Figure 30, device 10 can prompt the user to wear device B on the user's chest; if device 10 is detected to be worn on the user's head and device B is detected to be worn on the user's chest, as shown in interface 613c of schematic diagram 30-3 in Figure 30, device 10 can prompt that both device 10 and device B have been worn correctly and the device is about to start working.

[0521] Similarly, if device B is detected to be worn on the user's head and device 10 is not worn on the user's chest, as shown in interface 613d of schematic diagram 30-4 in Figure 30, device 10 can prompt the user to wear device 10 on the user's chest; if device B is detected to be worn on the user's head and device 10 is detected to be worn on the user's chest, as shown in interface 613e of schematic diagram 30-5 in Figure 30, device 10 can prompt that both device 10 and device B have been worn correctly and the device is about to start working.

[0522] In some examples, interfaces 613a, 613b, 613c, 613d, or 613e can all be displayed on device B. In other words, device 10 can obtain the wearing position of device 10 and the wearing position of device B, and prompt the user to wear the other device in the corresponding position based on the wearing position of one of the devices, device 10 and device B; device B can also obtain the wearing position of device 10 and the wearing position of device B, and prompt the user to wear the other device in the corresponding position based on the wearing position of one of the devices, device 10 and device B.

[0523] In some examples, users can jointly control devices 10 and B using other electronic devices such as mobile phones or watches (e.g., control devices). Interfaces 613a, 613b, 613c, 613d, or 613e can all be displayed on the control device. Devices 10 and B can send their respective wearing positions to the control device, which can then provide guidance to the user on the correct operation of both devices based on the current wearing status of device 10 and device B.

[0524] The control device, device 10, and wearable devices similar to device 10 can communicate with each other and obtain the wearing position of the cooperating devices to jointly achieve a function. The implementation of this technical solution is conducive to improving the efficiency of multi-device collaboration and enhancing the user experience of using multiple devices.

[0525] In some examples, device B, which establishes a communication connection with device 10, can detect the usage status of device 10. If it is determined that device 10 is performing a first operation, activating a first function, being in a first working mode, or being in a first application scenario, device B can prompt the user to activate the function corresponding to the aforementioned first operation, first function, first working mode, or first application scenario.

[0526] For example, when device B detects that device 10 has enabled the sleep assistance function, device B can display the interface 614 shown in FIG31. The interface 614 can be used to prompt the activation of functions related to the sleep assistance function of device B (such as sleep intervention function).

[0527] As one implementation, interface 614 may include controls 707 and 708. In response to the operation of selecting control 707, device B may enable the sleep intervention function; in response to the operation of selecting control 708, device B may disable the sleep intervention function.

[0528] In some examples, after the user-selected function has been executed, device 10 may display interface 615 as shown in FIG32, which can be used to indicate the execution result of the aforementioned function.

[0529] For example, after device 10 has completed the vascular detection function, interface 615 may include indication information to indicate the user's vascular health status. For example, this indication information could be something like "Vascular health is good!"

[0530] For example, interface 615 may also include instruction information that can be used to instruct users to view more detailed execution results on other devices. For instance, the instruction information could be: "Please view detailed results on the phone's 'Health' app!"

[0531] In some examples, after executing the user-selected function, device 10 can send result information to a mobile phone, tablet, or foldable electronic device, which may include the execution result of the aforementioned function. For related details, please refer to Figure 17 above; it will not be repeated here.

[0532] As an example, after device 10 completes the sleep quality detection function, the mobile phone receiving the execution result sent by device 10 can display the interface 616 shown in FIG33. The interface 616 can include detailed information of the sleep quality detection function execution result.

[0533] For example, the interface 616 may include the duration of different sleep stages during the user's sleep, the interface 616 may also include scores of multiple sub-scoring items that make up the user's total sleep quality score, the interface 616 may also include sleep problems that the user may have and suggestions for improving these sleep problems.

[0534] Based on the same inventive concept, as shown in FIG34, this application embodiment also provides a physiological signal detection device 3400. This device 3400 can possess the functions used for device 10, etc., in the above method embodiments, and can be used to execute the steps performed by the functions of device 10 in the above method embodiments. This function can be implemented by hardware, or by software or hardware executing corresponding software. The hardware or software includes one or more modules corresponding to the above functions.

[0535] In one possible implementation, the physiological signal detection device 3400 may include an acquisition module 3410 and a processing module 3420, which are coupled to each other.

[0536] In some examples, the acquisition module 3410 can be used to support operations such as the device 10 acquiring the user's physiological signals in the foregoing embodiments.

[0537] The processing module 3420 is used to support the device 10 in performing the processing actions in the above method embodiments, such as determining the wearing position of the device 10 based on the signal Sga.

[0538] Optionally, the physiological signal detection device 3400 may further include a storage unit 3430 for storing the program code and data of the physiological signal detection device 3400.

[0539] Figure 35 illustrates an electronic device 3500 provided in an embodiment of this application. As shown, the electronic device 3500 includes at least one processor 3510 and a transceiver 3520. The processor 3510 is coupled to a memory and is used to execute instructions stored in the memory to control the transceiver 3520 to transmit and / or receive signals.

[0540] Optionally, the electronic device 3500 also includes a memory 3530 for storing instructions.

[0541] In some embodiments, the processor 3510 and the memory 3530 can be combined into a single processing device, with the processor 3510 executing program code stored in the memory 3530 to achieve the aforementioned functions. In specific implementations, the memory 3530 can be integrated into the processor 3510 or independent of it.

[0542] In some embodiments, transceiver 3520 may include a receiver (or receiver unit) and a transmitter (or transmitter unit).

[0543] The transceiver 3520 may further include an antenna, and the number of antennas may be one or more. The transceiver 3520 may be a communication interface or an interface circuit.

[0544] When the electronic device 3500 is a chip, the chip includes a transceiver module and a processing module. The transceiver module can be an input / output circuit or a communication interface; the processing module can be a processor, microprocessor, or integrated circuit integrated on the chip.

[0545] This embodiment also provides a computer-readable storage medium storing computer instructions. When the computer instructions are executed on an electronic device, the electronic device performs the aforementioned method steps to implement the physiological signal detection method in the above embodiment.

[0546] This embodiment also provides a computer program product that, when run on a computer, causes the computer to perform the aforementioned steps to implement the physiological signal detection method in the above embodiment.

[0547] Furthermore, embodiments of this application also provide an apparatus, which may specifically be a chip, component, or module. The apparatus may include a connected processor and a memory. The memory stores computer-executable instructions. When the apparatus is running, the processor can execute the computer-executable instructions stored in the memory to cause the chip to perform the physiological signal detection methods described in the above-described method embodiments.

[0548] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0549] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0550] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0551] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0552] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0553] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0554] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

A wearable device, characterized in that, include: Multiple first electrodes are used to detect first physiological signals; A processing circuit is used to determine the wearing location of the wearable device based on the first physiological signal; The first electrode is electrically connected to the processing circuit. The wearable device according to claim 1, characterized in that, The first physiological signal includes at least one of electrocardiogram (ECG) signal, electroencephalogram (EEG) signal, and surface electromyography (EMG) signal. The wearable device according to claim 1, characterized in that, The wearable device also includes a second electrode. The first electrode is also used to apply an excitation current to the wearing area; The second electrode is used to detect a second physiological signal, which is used to determine the bioimpedance of the wearing site; The processing circuit is specifically used to determine the wearing location based on the first physiological signal and the second physiological signal. The wearable device according to claim 1, characterized in that, The wearable device also includes a second electrode, which serves as a reference electrode for the first electrode. The wearable device according to claim 3 or 4 is characterized in that, The number of the second electrodes is multiple. The wearable device according to claim 5 is characterized in that, The processing circuit is also used for time-division switching of the two second electrodes. The wearable device according to any one of claims 3 to 6 is characterized in that, The wearable device also includes a photoelectric volumetric sensor, and the second electrode is composed of a transparent conductive material. The photoelectric volumetric sensor and the second electrode are stacked along the thickness direction of the wearable device. The wearable device according to any one of claims 1 to 7 is characterized in that, The first electrode is also used to apply a stimulating current to the wearing area, the stimulating current corresponding to a preset function acting on the wearing area. The wearable device according to any one of claims 1 to 8 is characterized in that, The wearable device also includes one or more of the following sensors: accelerometer, negative temperature coefficient sensor, polyvinylidene fluoride sensor, gyroscope, magnetometer, pressure sensor, and capacitive acoustic sensor, wherein the sensors are electrically connected to the processing circuit. An electronic device, characterized in that, include: Multiple wearable devices as described in any one of claims 1 to 9, wherein the multiple wearable devices are capable of communicating with each other. A method for detecting physiological signals, characterized in that, Applied to wearable devices, the method includes: The wearing site is determined based on a first physiological signal, which includes at least one of an electrocardiogram signal, an electroencephalogram signal, a surface electromyogram signal, and a physiological signal used to determine the bioimpedance of the wearing site. The second physiological signal is detected based on the wearing location. The method according to claim 11, characterized in that, The step of detecting the second physiological signal based on the wearing site includes: Determine the signal processing gain based on the wearing location; The second physiological signal is processed according to the signal processing gain. The method according to claim 12, characterized in that, The step of processing the second physiological signal according to the signal processing gain includes: When the wearing site is the chest or limbs, the electrocardiogram signal and / or the surface electromyography signal are processed by a first signal processing gain; and / or, When the wearing site is the head, the electroencephalogram (EEG) signal is processed by a second signal processing gain. Wherein, the second signal processing gain is greater than the first signal processing gain. The method according to any one of claims 11 to 13 is characterized in that, The method further includes: Activate the first function, which corresponds to the wearing part. The method according to claim 14, characterized in that, Before enabling the first function, the method also includes: The first scenario is detected, and the first function also corresponds to the first scenario. The method according to claim 14 or 15 is characterized in that, Before enabling the first function, the method further includes: Receive first information, which is used to indicate the part of the wearable device that needs to be worn to activate the first function. The method according to any one of claims 14 to 16, characterized in that, When the wearing part is the head, the first function includes one or more of the following: sleep quality detection, sleep assistance, snoring or teeth grinding detection, and skin temperature measurement. When the wearing location is the chest, the first function includes one or more of the following: heart rate detection, heart rate variability detection, skin temperature measurement, cardiopulmonary sound detection, and respiratory signal detection; When the wearing site is the limbs, the first function includes one or more of the following: muscle and nerve function detection, motion recognition, muscle therapy, stimulation of sweating, skin temperature measurement, and blood pressure measurement. The method according to any one of claims 14 to 17, characterized in that, The method further includes: When the first function is enabled, a second message is sent, the second message indicating the activation of the assistance function and / or the wearing position of the wearable device, the assistance function being associated with the first function; and / or Upon completion of the first function, a third message is sent, the third message including the execution result of the first function. The method according to any one of claims 11 to 18, characterized in that, The method further includes: Detect the second scenario; Enable the second function, which corresponds to the second scenario. A method for detecting physiological signals, characterized in that, Applied to wearable devices, the wearable devices being worn on at least two different body parts, the method includes: In response to the operation of wearing the wearable device on a first part, a first interface including first information is displayed, the first information being used to indicate the first part, the at least two different parts including the first part; Accept the first operation applied to the first interface; A second interface is displayed, which includes second information used to indicate a first function, and the first function is used to act on the first part. Accept the second operation applied to the first interface; Perform the first function. The method according to claim 20, characterized in that, Before displaying the second interface, the method further includes: Detect the target scene; A third interface is displayed, which includes third information used to indicate the target scene; Accept the third operation applied to the third interface. The method according to claim 20 or 21, characterized in that, The method further includes: A fourth interface is displayed, including fourth information, which is used to indicate a second device and / or a second function, the second function being associated with the first function, and the second device being used to perform the second function. Accept the fourth operation applied to the fourth interface; Send an instruction message, which is used to instruct the second device to perform the second function. An electronic device, characterized in that, The device includes a processor and a memory, the memory storing program instructions, the processor executing the program instructions to cause the electronic device to perform the method as claimed in any one of claims 11 to 19, or to cause the electronic device to perform the method as claimed in any one of claims 20 to 22. A computer-readable storage medium, characterized in that, It contains a computer program that, when executed by a computer, enables the implementation of the method of any one of claims 11 to 19 or claims 20 to 22. A computer program product, characterized in that, Includes computer program code that, when run on a computer, causes the method of any one of claims 11 to 19 or claims 20 to 22 to be performed. A device for detecting physiological signals, characterized in that, It includes modules for implementing the method of any one of claims 11 to 19, or modules for implementing the method of any one of claims 20 to 22.

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