Physiological signal determination method and device, program product, earphone and electronic equipment

Abstract

The invention belongs to the technical field of signal processing, and particularly relates to a physiological signal determination method and device, a computer program product, an earphone and electronic equipment. The method comprises the following steps: acquiring a first photoelectric volume pulse wave signal under the condition that the electronic equipment is in a wearing mode; receiving a second photoelectric pulse wave signal collected by the earphone; determining a target photoelectric pulse wave signal based on a consistency detection result of the first photoelectric volume pulse wave signal and the second photoelectric pulse wave signal; and determining a physiological signal based on the target photoelectric pulse wave signal. In the embodiment of the invention, the photoelectric volume pulse wave signal can be determined in combination with the signals collected by the electronic equipment and the earphone respectively, and the physiological signal can be determined according to the target photoelectric pulse wave signal, so that the more accurate physiological signal can be obtained, and the reliability of the health monitoring function of the equipment is improved.

Description

Technical Field

[0001] The present application belongs to the field of signal processing technology, and in particular, relates to a method, device, computer program product, earphone and electronic device for determining a physiological signal. Background Art

[0002] The application of wearable devices in physiological signal detection has become an important part of modern medical care and health management. Wearable devices (such as watches, bracelets, mobile phones, headphones, etc.) are usually equipped with a variety of sensors, which can be used to detect various physiological signals of the human body, such as heart rate monitoring signals, breathing vibration signals, sound signals, etc. However, the current method for determining physiological signals is difficult to accurately determine physiological signals, resulting in low reliability of the health detection function of wearable devices. Summary of the invention

[0003] In view of this, the embodiments of the present application provide a method, device, computer program product, headset and electronic device for determining a physiological signal to solve the problem that the method for determining a physiological signal in the prior art is difficult to accurately determine the physiological signal, resulting in low reliability of the health detection function of the wearable device.

[0004] A first aspect of an embodiment of the present application provides a method for determining a physiological signal applied to an electronic device, which may include:

[0005] When the electronic device is in a wearing mode, acquiring a first photoplethysmogram signal;

[0006] Receiving a second photoelectric pulse wave signal collected by the earphone;

[0007] Determining a target photoelectric pulse wave signal based on a consistency detection result of the first photoelectric plethysmogram signal and the second photoelectric pulse wave signal;

[0008] A physiological signal is determined based on the target photoelectric pulse wave signal.

[0009] A second aspect of an embodiment of the present application provides a method for determining a physiological signal applied to an earphone, which may include:

[0010] When the headset is in a wearing mode, obtaining a second photoplethysmogram signal;

[0011] A second photoelectric pulse wave signal is sent to the electronic device; the second photoelectric pulse wave signal is used to instruct the electronic device to determine a target photoelectric pulse wave signal based on a consistency detection result of the first photoelectric volumetric pulse wave signal and the second photoelectric volumetric pulse wave signal collected by the electronic device.

[0012] A third aspect of an embodiment of the present application provides a device for determining a physiological signal applied to an electronic device, which may include:

[0013] An acquisition module, configured to acquire a first photoplethysmogram signal when the electronic device is in a wearing mode;

[0014] A receiving module, used for receiving a second photoelectric pulse wave signal collected by the earphone;

[0015] Determine a first module, for determining a target photoelectric pulse wave signal based on a consistency detection result of the first photoelectric volumetric pulse wave signal and the second photoelectric pulse wave signal;

[0016] A second module is determined, which is used to determine a physiological signal based on the target photoelectric pulse wave signal.

[0017] A fourth aspect of an embodiment of the present application provides a device for determining a physiological signal applied to an earphone, which may include:

[0018] An acquisition module, configured to acquire a second photoplethysmogram signal when the headset is in a wearing mode;

[0019] A sending module is used to send a second photoelectric pulse wave signal to an electronic device; the second photoelectric pulse wave signal is used to instruct the electronic device to determine a target photoelectric pulse wave signal based on a consistency detection result of the first photoelectric volumetric pulse wave signal and the second photoelectric volumetric pulse wave signal collected by the electronic device.

[0020] A fifth aspect of an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of any of the above-mentioned methods for determining a physiological signal are implemented.

[0021] The sixth aspect of an embodiment of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the electronic device implements any one of the steps of the above-mentioned method for determining a physiological signal applied to an electronic device.

[0022] A seventh aspect of an embodiment of the present application provides an earphone, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the earphone implements any one of the steps of the above-mentioned method for determining a physiological signal applied to the earphone.

[0023] An eighth aspect of an embodiment of the present application provides a computer program product, including a computer program, and when the computer program is run, any of the above-mentioned methods for determining a physiological signal is executed.

[0024] Compared with the prior art, the embodiments of the present application have the following beneficial effects: when the electronic device is in the wearing mode, the embodiments of the present application obtain a first photoelectric volumetric pulse wave signal; receive a second photoelectric pulse wave signal collected by the earphone; determine a target photoelectric pulse wave signal based on the consistency detection result of the first photoelectric volumetric pulse wave signal and the second photoelectric pulse wave signal; and determine a physiological signal based on the target photoelectric pulse wave signal. In the embodiments of the present application, the photoelectric volumetric pulse wave signal can be determined by combining the signals collected by the electronic device and the earphone respectively, and the physiological signal can be determined based on the target photoelectric pulse wave signal, so that a more accurate physiological signal can be obtained, thereby improving the reliability of the health monitoring function of the device. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0026] Figure 1 A schematic diagram of wearing headphones and wearing an electronic device;

[0027] Figure 2 A flowchart of an embodiment of a method for determining a physiological signal applied to an electronic device in an embodiment of the present application;

[0028] Figure 3 A flowchart of an embodiment of a method for determining a physiological signal applied to headphones in an embodiment of the present application;

[0029] Figure 4 This is a structural diagram of an embodiment of a device for determining a physiological signal applied to an electronic device in an embodiment of the present application;

[0030] Figure 5 A structural diagram of an embodiment of a device for determining a physiological signal applied to an earphone in an embodiment of the present application;

[0031] Figure 6 A schematic block diagram of an electronic device in an embodiment of the present application;

[0032] Figure 7 This is a schematic block diagram of an earphone in an embodiment of the present application. DETAILED DESCRIPTION

[0033] In order to make the purpose, features, and advantages of the invention of this application more obvious and easy to understand, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the embodiments described below are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0034] It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof.

[0035] It should also be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0036] It should be further understood that the term “and / or” used in the specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0037] As used in this specification and the appended claims, the term "if" may be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrases "if it is determined" or "if [described condition or event] is detected" may be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.

[0038] In addition, in the description of the present application, the terms "first", "second", "third", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0039] The application of wearable devices in physiological signal detection has become an important part of modern medical care and health management. Wearable devices (such as watches, bracelets, mobile phones, headphones, etc.) are usually equipped with a variety of sensors, which can be used to detect various physiological signals of the human body, such as heart rate monitoring signals, breathing vibration signals, sound signals, etc. However, the current method for determining physiological signals is difficult to accurately determine physiological signals, resulting in low reliability of the health detection function of wearable devices.

[0040] In view of this, the embodiments of the present application provide a method, device, computer program product and electronic device for determining a physiological signal to solve the problem that the method for determining a physiological signal in the prior art is difficult to accurately determine the physiological signal, resulting in low reliability of the health detection function of the wearable device.

[0041] In the embodiment of the present application, the headset can establish a communication connection with other electronic devices through a preset communication link, so that the headset can be used in conjunction with the electronic device to determine a more accurate physiological signal. Here, the electronic device may include but is not limited to computing devices such as smart watches, smart bracelets, and smart phones.

[0042] Among them, the communication link can be a communication link established based on at least one wireless communication solution such as Wireless Local Area Networks (WLAN) (for example, Wireless Fidelity (WiFi)), Bluetooth, Global Navigation Satellite System (GNSS), Frequency Modulation (FM), Near Field Communication (NFC), infrared technology (IR), Global System for Mobile communications (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Time Division-Synchronous Code Division Multiple Access (TD-SCDMA) and Long Term Evolution (LTE).

[0043] In a specific implementation, the electronic device may be a watch, and when the user takes the earphone out of the charging compartment, the earphone may establish a communication connection with the watch, so that the two can be used together. Optionally, the watch may also serve as the charging compartment of the earphone.

[0044] In an embodiment of the present application, one or more sensors may be provided in the earphone and the electronic device for collecting one or more physiological signals.

[0045] Specifically, the earphone may be provided with a metal contact sensor and a photoplethysmography (PPG) sensor; the electronic device may be provided with a metal contact sensor, a PPG sensor, an electrocardiogram (ECG) sensor, a vibration sensor, and a sound sensor.

[0046] Among them, the metal contact sensor can be used to detect whether the earphone or electronic device is in the wearing mode. Specifically, since the human body has a certain conductivity, when the user wears the earphone or electronic device well, the metal contact sensor contacts the skin to form a closed loop, and the conductivity of the human body will reduce the resistance value of the metal contact sensor circuit; if the user does not (well) wear the earphone or electronic device, the above closed loop will not be formed, so the metal contact sensor circuit will maintain a higher resistance value; therefore, by detecting the resistance value of the metal contact sensor circuit, it can be determined whether the user is (well) wearing the earphone or electronic device.

[0047] If the user wears the headphones well, it can be considered that the headphones are in wearing mode; if the user does not wear the headphones well, it can be considered that the headphones are not in wearing mode; similarly, if the user wears the electronic device well, it can be considered that the electronic device is in wearing mode; if the user does not wear the electronic device well, it can be considered that the electronic device is not in wearing mode.

[0048] The PPG sensor can be used to detect the user's heart rate and breathing; the PPG sensor is usually composed of a light-emitting diode and a photodetector. After the light emitted by the light-emitting diode hits the skin, part of the light is absorbed by the skin tissue and blood, and the remaining light is reflected or transmitted and detected by the photodetector, after which the photodetector can convert the detected light signal into an electrical signal; when cardiac activity causes changes in arterial blood volume, the intensity of the reflected or transmitted light will also change, thereby generating a changing electrical signal; therefore, by analyzing the electrical signal generated by the PPG sensor, the user's heart rate and breathing can be determined.

[0049] The ECG sensor can be used to detect the user's heart rate; specifically, the ECG sensor can place electrodes on the human skin to detect the electrical signals generated by the heart; by analyzing the electrical signals generated by the heart, the user's heart rate can be determined.

[0050] The vibration sensor can be used to detect the user's breathing; specifically, the vibration sensor can collect vibration signals generated in the human body; by analyzing the vibration signals, the user's breathing frequency can be determined.

[0051] The sound sensor can be used to detect the user's breathing and heart rate; specifically, the sound sensor can collect sound signals generated by life activities such as breathing and heartbeat. By analyzing the sound signals, it can be determined whether the user has problems such as abnormal lung sounds and irregular heart rate.

[0052] In the embodiment of the present application, when the user wears the earphone and the electronic device properly, the earphone and the electronic device can be used to collect and determine the physiological signal; for example, refer to Figure 1 , the user can clip the earphones in the ears to wear the earphones, and can put the electronic device (such as a watch) on the wrist to wear the watch, and then the earphones and the watch can cooperate to determine the physiological signal. Alternatively, the user can initiate the physiological signal determination process independently. For example, after the user wears the earphones and the electronic device well, the user can turn on the health detection function through a preset trigger method (such as pressing a physical button, clicking on the screen, etc.), and then the earphones and the electronic device can cooperate to determine the physiological signal.

[0053] The following will introduce in detail the method for determining the physiological signal in the embodiment of the present application from the perspectives of the earphone and the electronic device; specifically, please refer to Figure 2 In an embodiment of the present application, a method for determining a physiological signal applied to an electronic device may include steps S201 to S204:

[0054] Step S201: When the electronic device is in a wearing mode, a first photoplethysmogram signal is obtained.

[0055] In an embodiment of the present application, the electronic device can use a metal contact sensor provided in the electronic device to perform wearing detection. If it is detected that the user is wearing the electronic device well, it can be determined that the electronic device is in wearing mode; if it is detected that the user is not wearing the electronic device well (including not wearing the electronic device and not wearing the electronic device correctly), it can be determined that the electronic device is not in wearing mode.

[0056] If it is detected that the electronic device is not in the wearing mode, no subsequent process is required.

[0057] If it is detected that the electronic device is in the wearing mode, the PPG sensor provided in the electronic device may be used to collect the photocapacitance pulse wave signal to obtain a first photocapacitance pulse wave signal.

[0058] Step S202: receiving a second photoelectric pulse wave signal collected by the earphone.

[0059] Step S203: Determine a target photoelectric pulse wave signal based on the consistency detection result of the first photoelectric pulse wave signal and the second photoelectric pulse wave signal.

[0060] When the earphone is in wearing mode, the earphone can use the PPG sensor provided in the earphone to collect the photoelectric capacitance pulse wave signal to obtain a second photoelectric capacitance pulse wave signal; thereafter, the earphone can send the second photoelectric capacitance pulse wave signal to the electronic device to instruct the electronic device to determine the physiological signal based on the second photoelectric capacitance pulse wave signal.

[0061] In actual use, the headset and the electronic device may be worn by different users; when the headset and the electronic device are worn by different users, the first photoelectric volume pulse wave signal and the second photoelectric volume pulse wave signal will reflect the heart rate information and breathing information of different users; for example, the electronic device is a watch, if the watch is worn by user A, and the headset is worn by user B, the first photoelectric volume pulse wave signal collected by the watch will reflect the heart rate information and breathing information of user A, and the second photoelectric volume pulse wave signal collected by the headset will reflect the heart rate information and breathing information of user B. At this time, if the first photoelectric volume pulse wave signal and the second photoelectric volume pulse wave signal are used in combination, data confusion will occur, and accurate and reliable results cannot be obtained.

[0062] Therefore, after receiving the second photoelectric pulse wave signal, the electronic device needs to determine whether the user wearing the headset and the user wearing the electronic device are the same user.

[0063] Specifically, after the electronic device receives the second photoelectric volumetric pulse wave signal collected by the earphone, it can perform a consistency test on the first photoelectric volumetric pulse wave signal and the second photoelectric volumetric pulse wave signal to obtain a consistency test result of the first photoelectric volumetric pulse wave signal and the second photoelectric volumetric pulse wave signal; based on the consistency test result, it can be determined whether the user wearing the earphone and the user wearing the electronic device are the same user.

[0064] In the embodiment of the present application, the first photoplethysmogram signal and the second photoelectric pulse wave signal may be subjected to Fast Fourier Transform (FFT) respectively to obtain a transformed first photoplethysmogram signal and a transformed second photoelectric pulse wave signal.

[0065] Afterwards, the degree of difference between the transformed first photoplethysmogram signal and the transformed second photoelectric pulse wave signal can be determined; specifically, the frequency corresponding to the maximum energy value in the transformed first photoplethysmogram signal (hereinafter referred to as the first frequency) can be determined, and similarly, the frequency corresponding to the maximum energy value in the transformed second photoplethysmogram signal (hereinafter referred to as the second frequency) can also be determined. Afterwards, the degree of difference between the first frequency and the second frequency can be calculated, and the degree of difference can be determined as the degree of difference between the transformed first photoplethysmogram signal and the transformed second photoelectric pulse wave signal.

[0066] If the difference between the transformed first photoelectric volumetric pulse wave signal and the transformed second photoelectric pulse wave signal is greater than the preset difference degree threshold, it can be considered that there is a large gap between the transformed first photoelectric volumetric pulse wave signal and the transformed second photoelectric pulse wave signal. At this time, it can be considered that the first photoelectric volumetric pulse wave signal and the second photoelectric pulse wave signal are not photoelectric pulse wave signals from the same user, and thus it can be considered that the consistency detection result of the first photoelectric volumetric pulse wave signal and the second photoelectric pulse wave signal does not meet the consistency condition.

[0067] If the difference between the transformed first photoelectric volumetric pulse wave signal and the transformed second photoelectric pulse wave signal is less than or equal to a preset difference degree threshold, it can be considered that the difference between the transformed first photoelectric volumetric pulse wave signal and the transformed second photoelectric pulse wave signal is small. At this time, it can be considered that the first photoelectric volumetric pulse wave signal and the second photoelectric pulse wave signal are photoelectric pulse wave signals from the same user, and thus it can be considered that the consistency of the first photoelectric volumetric pulse wave signal and the second photoelectric pulse wave signal meets the consistency condition.

[0068] The specific value of the difference degree threshold can be specific and situational according to actual needs, and the embodiment of the present application does not limit this. For example, the difference degree threshold can be 10% of the smaller value of the first photoplethysmogram signal and the second photoelectric pulse wave signal.

[0069] In a specific implementation method of an embodiment of the present application, the headset can send a second photoelectric pulse wave signal to the electronic device according to a specific period (for example, every second). In order to improve the accuracy of consistency detection, the above-mentioned consistency detection can be performed after receiving the second photoelectric pulse wave signal of a preset duration. For example, the preset duration can be 10 seconds, and the above-mentioned consistency detection can be performed after receiving the second photoelectric pulse wave signal of 10 seconds to obtain a more reliable consistency detection result.

[0070] After determining the consistency between the first photoelectric pulse wave signal and the second photoelectric pulse wave signal, the photoelectric pulse wave signal (hereinafter referred to as the target photoelectric pulse wave signal) used to determine the heart rate information and breathing information in the embodiment of the present application can be determined based on this.

[0071] Specifically, if the consistency detection result meets the consistency condition, it indicates that the first photoelectric volumetric pulse wave signal and the second photoelectric pulse wave signal are from the photoelectric pulse wave signal of the same user, so the first photoelectric volumetric pulse wave signal and the second photoelectric pulse wave signal can be fused to obtain the target photoelectric pulse wave signal.

[0072] Here, a first weight can be set for the first photoelectric volumetric pulse wave signal, and a second weight can be set for the second photoelectric volumetric pulse wave signal. Afterwards, the first photoelectric volumetric pulse wave signal and the second photoelectric pulse wave signal can be weighted averaged based on the first weight and the second weight to fuse the two photoelectric pulse wave signals to obtain a target photoelectric pulse wave signal.

[0073] Among them, the first weight and the second weight can be set according to actual needs, and the embodiment of the present application does not limit this.

[0074] As an example, if the first photoelectric volumetric pulse wave signal is considered to be a more accurate photoelectric volumetric pulse wave signal, the first weight can be set to a value greater than the second weight; conversely, if the second photoelectric volumetric pulse wave signal is considered to be a more accurate photoelectric volumetric pulse wave signal, the second weight can be set to a value greater than the first weight.

[0075] If the consistency test does not meet the consistency condition, it indicates that the first photoplethysmogram signal and the second photoelectric pulse wave signal are not photoelectric pulse wave signals from the same user, that is, the user wearing the headset and the user wearing the electronic device are two different individuals. In order to prevent the data of the user wearing the headset from interfering with the determination process of the physiological signal, the first photoplethysmogram signal can be directly determined as the target photoelectric pulse wave signal to avoid confusing the data of the user wearing the headset and the user wearing the electronic device.

[0076] It should be understood that if the electronic device does not receive the second photoelectric pulse wave signal, it can be considered that the user is not wearing the headphones properly. At this time, the subsequent process can be directly based on the first photoelectric pulse wave signal; specifically, the first photoelectric pulse wave signal can be directly determined as the target photoelectric pulse wave signal for subsequent processes.

[0077] Step S204: determining a physiological signal based on the target photoelectric pulse wave signal.

[0078] In an embodiment of the present application, the physiological signal may include but is not limited to at least one of a heart rate monitoring signal (hereinafter referred to as a target heart rate monitoring signal) of a user wearing the electronic device, a breathing vibration signal (hereinafter referred to as a target breathing vibration signal), and a sound signal (hereinafter referred to as a target sound signal).

[0079] Among them, the target heart rate monitoring signal and the target breathing vibration signal can both be determined based on the target photoelectric pulse wave signal, and the target sound signal can be determined based on the signal collected by the sound sensor.

[0080] The following will introduce in detail the process of determining the target heart rate monitoring signal, the target breathing vibration signal and the target sound signal respectively.

[0081] In actual application scenarios, users can perform various daily activities while wearing electronic devices or headphones. For example, users can perform physical exercises while wearing electronic devices and / or headphones. When a user is in a state of intense exercise, the user's body usually moves significantly, resulting in a large number of motion artifacts (i.e., non-heart rate-related noise signals) in the collected signals. Motion artifacts are easily mixed with photoelectric pulse wave signals, making the heart rate monitoring signal difficult to identify and extract.

[0082] Taking the above situation into consideration, the embodiment of the present application may first determine whether the user is in a state of strenuous exercise before using the target photoelectric pulse wave signal to determine the target heart rate monitoring signal.

[0083] Specifically, an ECG sensor provided on an electronic device may be used to collect an electrocardiogram signal, and then the target photoplethysmogram signal and the electrocardiogram signal may be subjected to fast Fourier transform respectively to obtain a transformed target photoplethysmogram signal and a transformed electrocardiogram signal.

[0084] Based on the transformed target photoplethysmogram signal, the heart rate corresponding to the signal (hereinafter referred to as the first heart rate) can be determined; similarly, based on the transformed electrocardiogram signal, the heart rate corresponding to the signal (hereinafter referred to as the second heart rate) can be determined.

[0085] Here, the heart rate corresponding to the maximum energy in the transformed target photoplethysmogram signal can be determined as the first heart rate, and the heart rate corresponding to the maximum energy in the transformed electrocardiogram signal can be determined as the second heart rate; thereafter, the difference between the first heart rate and the second heart rate can be calculated. If the difference is less than or equal to the preset difference threshold, it indicates that the difference between the first heart rate and the second heart rate is small. If the difference is greater than the preset difference threshold, it indicates that the difference between the first heart rate and the second heart rate is large.

[0086] If the difference between the first heart rate and the second heart rate is less than or equal to the preset difference threshold, and the second heart rate is greater than the preset heart rate threshold, it can be determined that the user is in a state of strenuous exercise; otherwise, it can be determined that the user is not in a state of strenuous exercise.

[0087] The above-mentioned difference threshold and heart rate threshold can be set according to actual needs, and the embodiments of the present application do not limit this.

[0088] As an example, the difference threshold may be set to 15% of the smaller value between the first heart rate and the second heart rate, and the heart rate threshold may also be determined to be 120.

[0089] If the user is in a state of strenuous exercise, the electrocardiogram signal collected by the ECG sensor can be directly determined as the target heart rate monitoring signal.

[0090] If the user is not in a state of strenuous exercise, the target photoplethysmogram signal and the electrocardiogram signal can be fused to obtain a target heart rate monitoring signal.

[0091] Specifically, a third weight can be set for the target photoplethysmogram signal, and a fourth weight can be set for the electrocardiogram signal; then, the target photoplethysmogram signal and the electrocardiogram signal can be weighted averaged based on the third weight and the fourth weight, and the weighted averaged signal can be determined as the target heart rate monitoring signal; accordingly, the detection errors of the two signals can be effectively eliminated through superposition processing to obtain a more real and reliable electrocardiogram monitoring signal.

[0092] The third weight and the fourth weight mentioned above can be set according to actual needs, and the embodiment of the present application does not limit this.

[0093] As an example, the third weight may be set to 0.2, and the fourth weight may be set to 0.8; accordingly, the target heart rate monitoring signal may be determined mainly by the electrocardiogram signal and supplemented by the target photoplethysmogram signal.

[0094] In a specific implementation method of an embodiment of the present application, before determining the target heart rate monitoring signal, the availability of the target photoelectric volumetric pulse wave signal can also be detected; if the target photoelectric volumetric pulse wave signal is distorted, for example, when the device is in an environment with a lot of sweat, the target photoelectric volumetric pulse wave signal can be considered to be an unusable signal, and the electrocardiogram signal can be directly determined as the target heart rate monitoring signal; if the target photoelectric volumetric pulse wave signal is not distorted, the target photoelectric volumetric pulse wave signal can be considered to be an available signal, and the target heart rate monitoring signal can be determined according to the above process.

[0095] When it is necessary to determine the target breathing vibration signal, the vibration signal generated by the body (hereinafter referred to as the initial breathing vibration signal) can be collected by using the vibration sensor provided on the electronic device; thereafter, the target photoplethysmogram signal can be used as a reference signal to separate the target breathing vibration signal from the initial breathing vibration signal.

[0096] Before separating the target breathing vibration signal from the initial breathing vibration signal, it can be verified whether the initial breathing vibration signal and the target photoplethysmogram signal can consistently reflect the user's breathing condition. Specifically, after collecting the initial breathing vibration signal, the correlation between the initial breathing vibration signal and the target photoplethysmogram signal can be detected to obtain a correlation detection result.

[0097] In an embodiment of the present application, the corresponding respiratory frequency can be determined based on the target photoplethysmogram signal and the initial respiratory vibration signal, respectively; here, the respiratory frequency determined based on the target photoplethysmogram signal can be referred to as the first respiratory frequency, and the respiratory frequency determined based on the initial respiratory vibration signal can be referred to as the second respiratory frequency.

[0098] Specifically, the target photoplethysmogram signal can be preliminarily analyzed to identify the periodic changes of the target photoplethysmogram signal, and the respiratory cycle can be determined by the time interval between adjacent peaks or troughs; then, the target photoplethysmogram signal can be fast Fourier transformed to obtain the characteristic frequency of the respiratory frequency; based on the identified respiratory cycle and the characteristic frequency of the respiratory frequency, the first respiratory frequency can be calculated. Similarly, the second respiratory frequency can be determined by referring to this method.

[0099] Afterwards, the numerical difference between the first respiratory frequency and the second respiratory frequency can be analyzed, as well as whether the changing trends of the first respiratory frequency and the second respiratory frequency in a specific time period are consistent; if the numerical difference between the first respiratory frequency and the second respiratory frequency is less than or equal to the preset respiratory difference threshold, and the changing trends of the first respiratory frequency and the second respiratory frequency in a specific time period are consistent, then it can be considered that the correlation detection result of the initial respiratory vibration signal and the target photoplethysmogram signal meets the correlation condition; if the numerical difference between the first respiratory frequency and the second respiratory frequency is greater than the preset respiratory difference threshold, or the changing trends of the first respiratory frequency and the second respiratory frequency in a specific time period are not consistent, then it can be considered that the correlation detection result of the initial respiratory vibration signal and the target photoplethysmogram signal does not meet the correlation condition.

[0100] The above-mentioned breathing difference threshold and specific time period can be specified and set in a situational manner based on actual needs, and the embodiments of the present application are not limited to this.

[0101] Afterwards, the target respiratory vibration signal may be determined based on the correlation detection result.

[0102] If the correlation detection result does not meet the correlation condition, it can be considered that the correlation between the target photoplethysmogram signal and the initial breathing vibration signal is low, and the two cannot consistently reflect the user's breathing condition; at this time, the initial breathing vibration signal can be directly determined as the target breathing vibration signal.

[0103] If the correlation detection result meets the correlation condition, it can be considered that the target photoplethysmogram signal has a high correlation with the initial breathing vibration signal, and the two can consistently reflect the user's breathing condition; and since the initial breathing vibration signal may include vibration signals generated by various physiological activities (e.g., breathing, heartbeat, body movement, etc.), it is necessary to identify the vibration signal generated by breathing from the initial breathing vibration signal. Here, the target photoplethysmogram signal can be used as a reference to separate the target breathing vibration signal from the initial breathing vibration signal.

[0104] Specifically, the characteristic frequency of the respiratory frequency identified from the target photoplethysmogram signal can be used as the frequency to be enhanced in the initial respiratory vibration signal, and then the frequency to be enhanced in the initial respiratory vibration signal can be enhanced (for example, 3 decibel milliwatts (dBm) enhancement) to obtain an enhanced initial respiratory vibration signal, which is the target respiratory vibration signal. In addition, the frequency value with the highest energy in the target respiratory vibration signal can be determined as the user's respiratory frequency.

[0105] In the embodiment of the present application, when it is necessary to determine the target sound signal, the sound sensor provided in the electronic device can be used to collect the sound signal in the user's body to obtain the initial sound signal.

[0106] In a specific implementation of an embodiment of the present application, in order to reduce the interference of environmental noise, the sound sensor can be a highly sensitive Micro-Electro-Mechanical Systems (MEMS) microphone array. The MEMS microphone array has a high signal-to-noise ratio and can effectively suppress background noise when capturing sound signals; using this microphone array, multiple sound signals can be collected; after the preamplifier module, the multiple sound signals can be converted into weak electrical signals for preliminary amplification to obtain each initial sound signal; then, each initial sound signal can be filtered separately to obtain each filtered initial sound signal; wherein, the filtering process can include but is not limited to bandpass filter filtering and priority impulse response filter filtering; specifically, each initial sound signal can be filtered using a bandpass filter to extract sound signals in a specific human body direction and suppress sound signals in other directions; Afterwards, the priority impulse response filter can be used to filter each initial sound signal after filtering by the pass filter to obtain each initial sound signal after filtering; by filtering with the priority impulse response filter, the phase distortion of the initial sound signal can be avoided; afterward, the waveforms of each initial sound signal after filtering can be superimposed to obtain a superimposed sound signal; in order to further filter the low-energy clutter signal, the sound signal in the superimposed sound signal whose energy is greater than the energy threshold can be determined as the target sound signal; here, the energy threshold can be specific and situationally set according to actual needs, and the embodiment of the present application does not limit this. For example, it can be set to -70 decibel milliwatts (dBm). In addition, if the user's body has abnormal sounds, the target sound signal will also include the corresponding abnormal sound signal, and the abnormal sound can be judged based on the target sound signal in subsequent data analysis.

[0107] The electronic device may also establish a communication connection with a preset server, where the server may be responsible for performing data analysis on the physiological signals.

[0108] After determining each physiological signal, the electronic device can send the determined target heart rate monitoring signal, target breathing vibration signal or target sound signal to the server to instruct the server to perform data analysis based on the received physiological signals to obtain health detection results; accordingly, the effect of a digital stethoscope can be achieved, providing users with convenient health detection services.

[0109] The method for the server to perform data analysis on each physiological signal can refer to any method for analyzing health data in the prior art, and the embodiments of the present application are not limited to this.

[0110] As an example, the server can extract features from each physiological signal to obtain the features corresponding to each physiological signal; then, based on each feature, a machine learning algorithm can be used to determine the type of health problem, which may include but is not limited to one or more types such as arrhythmia, myocardial ischemia and infarction, cardiac hypertrophy and dilatation, and electrolyte disorders.

[0111] In a specific implementation method of an embodiment of the present application, the server can also send health test results to the electronic device; thereafter, the electronic device can generate corresponding voice based on the health test results, and can control the headphones to play the voice, so that the user can know his or her health test results in a timely manner.

[0112] In another specific implementation method of the embodiment of the present application, the server can also generate corresponding health advice based on the health test results, and can send the health test results and the corresponding health advice to the electronic device; thereafter, the electronic device can generate corresponding voice based on the health test results and the corresponding health advice, and control the headphones to play the voice, so that users can know their own health test results and reasonable health advice in a timely manner, which helps to improve the user experience.

[0113] In another specific implementation method of the embodiment of the present application, the server can also store the user's health check results. When the user needs to view the health check results (for example, diagnosis or follow-up), the user can use the electronic device bound to the user account to send a corresponding review instruction to the server. The server can send the user's health check results to the electronic device based on the review instruction. Here, the electronic device bound to the user account can be an electronic device for determining physiological signals, or it can be other electronic devices; for example, the user's headphones, watches and mobile phones can all log in to the same user account; when performing a health check, the headphones and watches can be used to collect and determine various physiological signals; thereafter, the user can initiate a query instruction to the server through the mobile phone, so that he can more conveniently browse his own health check results on the mobile phone.

[0114] The following is a detailed description of the method for determining the physiological signal in the embodiment of the present application from the perspective of the earphone; specifically, please refer to Figure 3 In an embodiment of the present application, a method for determining a physiological signal applied to an earphone may include steps S301 to S302:

[0115] Step S301: When the earphone is in a wearing mode, a second photoplethysmogram signal is obtained.

[0116] Step S302: Send a second photoelectric pulse wave signal to the electronic device.

[0117] In an embodiment of the present application, the earphones can use a metal contact sensor provided in the earphones to perform wearing detection. If it is detected that the user is wearing the earphones well, it can be determined that the earphones are in wearing mode; if it is detected that the user is not wearing the earphones well (including not wearing the earphones and not wearing the earphones correctly), it can be determined that the earphones are not in wearing mode.

[0118] If it is detected that the headset is not in wearing mode, no subsequent process is required.

[0119] If it is detected that the earphone is in the wearing mode, the PPG sensor provided in the earphone can be used to collect the photocapacitance pulse wave signal to obtain a second photocapacitance pulse wave signal.

[0120] Afterwards, the headset can send a second photoelectric volume pulse wave signal to the electronic device to instruct the electronic device to determine the target photoelectric volume pulse wave signal based on the consistency detection result of the first photoelectric volume pulse wave signal and the second photoelectric volume pulse wave signal collected by the watch. The detailed process can be referred to the relevant description above and will not be repeated here.

[0121] In a specific implementation of an embodiment of the present application, after determining each physiological signal, the electronic device can send each physiological signal to a server for further data analysis to obtain the corresponding health test results. Afterwards, the server can send the health test results to the electronic device, and the electronic device can generate a corresponding voice based on the health test results, and send the voice to the headset. After receiving the voice sent by the electronic device, the headset can play the voice so that the user can listen to his or her health test results in time. Optionally, the server can also generate health advice corresponding to the health test results, and send the health test results and health advice to the electronic device together. Accordingly, the electronic device can generate a corresponding voice based on the health test results and health advice, and send the voice to the headset. After receiving the voice sent by the electronic device, the headset can play the voice so that the user can listen to his or her health test results in time and understand reasonable improvement plans.

[0122] In summary, in the embodiment of the present application, when the electronic device is in the wearing mode, a first photoelectric volumetric pulse wave signal is obtained; a second photoelectric pulse wave signal collected by the earphone is received; a target photoelectric pulse wave signal is determined based on the consistency detection result of the first photoelectric volumetric pulse wave signal and the second photoelectric pulse wave signal; and a physiological signal is determined based on the target photoelectric pulse wave signal. In the embodiment of the present application, the photoelectric volumetric pulse wave signal can be determined by combining the signals collected by the electronic device and the earphone respectively, and the physiological signal can be determined based on the target photoelectric pulse wave signal, so that a more accurate physiological signal can be obtained, the reliability of the health monitoring function of the device is improved, and a fully accurate description of the video sequence is achieved, which improves the robustness of the method for determining the physiological signal.

[0123] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0124] Corresponding to the method for determining a physiological signal applied to an electronic device described in the above embodiment, Figure 4 A structural diagram of an embodiment of a device for determining a physiological signal applied to an electronic device provided in an embodiment of the present application is shown.

[0125] In an embodiment of the present application, a device for determining a physiological signal applied to an electronic device may include:

[0126] An acquisition module 401 is used to acquire a first photoplethysmogram signal when the electronic device is in a wearing mode;

[0127] A receiving module 402, used for receiving a second photoelectric pulse wave signal collected by the earphone;

[0128] A first determination module 403 is used to determine a target photoelectric pulse wave signal based on a consistency detection result of the first photoelectric volumetric pulse wave signal and the second photoelectric pulse wave signal;

[0129] The second determination module 404 is configured to determine a physiological signal based on the target photoelectric pulse wave signal.

[0130] In a specific implementation of the embodiment of the present application, determining the first module includes:

[0131] a detection submodule, configured to detect the consistency of the first photoelectric volumetric pulse wave signal and the second photoelectric volumetric pulse wave signal, and obtain the consistency detection result;

[0132] Determine a first submodule, which is used to fuse the first photoelectric volumetric pulse wave signal and the second photoelectric pulse wave signal to obtain the target photoelectric pulse wave signal if the consistency detection result meets the consistency condition;

[0133] A second submodule is determined, which is used to determine the first photoelectric pulse wave signal as the target photoelectric pulse wave signal if the consistency detection result does not meet the consistency condition.

[0134] In a specific implementation of the embodiment of the present application, the detection submodule includes:

[0135] a changing unit, used for performing fast Fourier transform on the first photoplethysmogram signal and the second photoelectric pulse wave signal respectively, to obtain the transformed first photoplethysmogram signal and the transformed second photoelectric pulse wave signal;

[0136] The result determination unit is used to determine the consistency detection result based on the difference between the first photoplethysmogram signal after transformation and the second photoelectric pulse wave signal after transformation.

[0137] In a specific implementation of the embodiment of the present application, the physiological signal includes a target heart rate monitoring signal and / or a target breathing vibration signal;

[0138] Determining the second module includes:

[0139] Acquire a first submodule, for acquiring an electrocardiogram signal;

[0140] A fusion submodule, used for fusing the target photoplethysmogram signal and the electrocardiogram signal to obtain the target heart rate monitoring signal;

[0141] and / or,

[0142] Acquire a second submodule, used to acquire an initial breathing vibration signal;

[0143] A detection submodule, used to detect the correlation between the initial respiratory vibration signal and the target photoplethysmogram signal to obtain a correlation detection result;

[0144] A third submodule is determined, which is used to determine the target respiratory vibration signal based on the correlation detection result.

[0145] In a specific implementation of the embodiment of the present application, the device further includes:

[0146] The sending module is used to send the physiological signal to the server; the physiological signal is used to instruct the server to perform data analysis based on the physiological signal.

[0147] In a specific implementation of the embodiment of the present application, the physiological signal also includes a target sound signal;

[0148] The device also includes:

[0149] A sound signal acquisition module, used to acquire each initial sound signal;

[0150] A filtering processing module, used for filtering each of the initial sound signals to obtain each of the initial sound signals after filtering;

[0151] A waveform superposition module, used for performing waveform superposition on each of the filtered initial sound signals to obtain a superimposed sound signal;

[0152] A third module is determined, which is used to determine the sound signal with energy greater than the energy threshold in the superimposed sound signal as the target sound signal.

[0153] Corresponding to the method for determining a physiological signal applied to headphones described in the above embodiment, Figure 5 A structural diagram of an embodiment of a device for determining a physiological signal applied to headphones provided in an embodiment of the present application is shown.

[0154] In an embodiment of the present application, a device for determining a physiological signal applied to an earphone may include:

[0155] An acquisition module 501 is used to acquire a second photoplethysmogram signal when the headset is in a wearing mode;

[0156] The sending module 502 is used to send a second photoelectric pulse wave signal to the electronic device; the second photoelectric pulse wave signal is used to instruct the electronic device to determine the target photoelectric pulse wave signal based on the consistency detection result of the first photoelectric volumetric pulse wave signal and the second photoelectric volumetric pulse wave signal collected by the electronic device.

[0157] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices, modules and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0158] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0159] Figure 6 A schematic block diagram of an electronic device provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0160] like Figure 6As shown, the electronic device 6 of this embodiment includes: a processor 60, a memory 61, and a computer program 62 stored in the memory 61 and executable on the processor 60. When the processor 60 executes the computer program 62, the steps in the above-mentioned method for determining each physiological signal are implemented, for example Figure 2 Alternatively, when the processor 60 executes the computer program 62, the functions of each module / unit in the above-mentioned device embodiments are realized, for example Figure 4 Functions of modules 401 to 404 are shown.

[0161] Exemplarily, the computer program 62 may be divided into one or more modules / units, which are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program 62 in the electronic device 6.

[0162] Those skilled in the art will understand that Figure 6 It is only an example of the electronic device 6 and does not constitute a limitation of the electronic device 6. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the electronic device 6 may also include input and output devices, network access devices, buses, etc.

[0163] The processor 60 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0164] The memory 61 may be an internal storage unit of the electronic device 6, such as a hard disk or memory of the electronic device 6. The memory 61 may also be an external storage device of the electronic device 6, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 6. Further, the memory 61 may also include both an internal storage unit of the electronic device 6 and an external storage device. The memory 61 is used to store the computer program and other programs and data required by the electronic device 6. The memory 61 may also be used to temporarily store data that has been output or is to be output.

[0165] Figure 7 A schematic block diagram of an earphone provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0166] like Figure 7 As shown, the headset 7 of this embodiment includes: a processor 70, a memory 71, and a computer program 72 stored in the memory 71 and executable on the processor 70. When the processor 70 executes the computer program 72, the steps in the above-mentioned method for determining each physiological signal are implemented, for example Figure 2 Alternatively, when the processor 70 executes the computer program 72, the functions of each module / unit in the above-mentioned device embodiments are realized, for example Figure 5 The functions of modules 501 to 502 are shown.

[0167] Exemplarily, the computer program 72 may be divided into one or more modules / units, which are stored in the memory 71 and executed by the processor 70 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program 72 in the headset 7.

[0168] Those skilled in the art will understand that Figure 7 It is only an example of the earphone 7 and does not constitute a limitation of the earphone 7. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the earphone 7 may also include input and output devices, network access devices, buses, etc.

[0169] The processor 70 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0170] The memory 71 may be an internal storage unit of the headset 7, such as a hard disk or memory of the headset 7. The memory 71 may also be an external storage device of the headset 7, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the headset 7. Further, the memory 71 may also include both an internal storage unit of the headset 7 and an external storage device. The memory 71 is used to store the computer program and other programs and data required by the headset 7. The memory 71 may also be used to temporarily store data that has been output or is to be output.

[0171] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0172] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0173] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example 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 performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0174] In the embodiments provided in the present application, it should be understood that the disclosed devices / electronic devices / headphones and methods can be implemented in other ways. For example, the device / electronic device / headphone embodiments described above are merely schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0175] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0176] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0177] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable storage medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable storage media do not include electric carrier signals and telecommunication signals.

[0178] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for determining a physiological signal, characterized in that: Applied to electronic equipment, the method comprises: When the electronic device is in a wearing mode, acquiring a first photoplethysmogram signal; Receiving a second photoelectric pulse wave signal collected by the earphone; Determining a target photoelectric pulse wave signal based on a consistency detection result of the first photoelectric plethysmogram signal and the second photoelectric pulse wave signal; A physiological signal is determined based on the target photoelectric pulse wave signal.

2. The method for determining a physiological signal according to claim 1, characterized in that: The step of determining a target photoelectric pulse wave signal based on a consistency detection result of the first photoelectric volumetric pulse wave signal and the second photoelectric pulse wave signal comprises: Detecting consistency between the first photoplethysmogram signal and the second photoelectric pulse wave signal to obtain the consistency detection result; If the consistency detection result satisfies the consistency condition, the first photoelectric volume pulse wave signal and the second photoelectric pulse wave signal are fused to obtain the target photoelectric pulse wave signal; If the consistency detection result does not meet the consistency condition, the first photoelectric pulse wave signal is determined as the target photoelectric pulse wave signal.

3. The method for determining a physiological signal according to claim 2, characterized in that: The detecting the consistency of the first photoelectric volumetric pulse wave signal and the second photoelectric volumetric pulse wave signal to obtain the consistency detection result includes: Performing fast Fourier transform on the first photoplethysmogram signal and the second photoelectric pulse wave signal respectively to obtain the transformed first photoplethysmogram signal and the transformed second photoelectric pulse wave signal; The consistency detection result is determined based on the degree of difference between the transformed first photoplethysmography signal and the transformed second photoelectric pulse wave signal.

4. The method for determining a physiological signal according to claim 1, characterized in that: The physiological signal includes a target heart rate monitoring signal and / or a target breathing vibration signal; The step of determining a physiological signal based on the target photoplethysmography signal comprises: Obtain ECG signals; fusing the target photoplethysmogram signal and the electrocardiogram signal to obtain the target heart rate monitoring signal; and / or, Obtaining initial respiratory vibration signal; Detecting the correlation between the initial respiratory vibration signal and the target photoplethysmogram signal to obtain a correlation detection result; The target respiratory vibration signal is determined based on the correlation detection result.

5. The method for determining a physiological signal according to claim 1, characterized in that: After determining the physiological signal based on the target photoelectric pulse wave signal, the method further includes: The physiological signal is sent to a server; the physiological signal is used to instruct the server to perform data analysis based on the physiological signal.

6. The method for determining a physiological signal according to any one of claims 1 to 5, characterized in that: The physiological signal also includes a target sound signal; The method further comprises: Acquiring each initial sound signal; Performing filtering processing on each of the initial sound signals respectively to obtain each of the initial sound signals after filtering; Superimposing the waveforms of the filtered initial sound signals to obtain a superimposed sound signal; A sound signal whose energy in the superimposed sound signal is greater than an energy threshold is determined as the target sound signal.

7. A method for determining a physiological signal, characterized in that: Applied to headphones, the method comprises: When the headset is in a wearing mode, obtaining a second photoplethysmogram signal; A second photoelectric pulse wave signal is sent to the electronic device; the second photoelectric pulse wave signal is used to instruct the electronic device to determine a target photoelectric pulse wave signal based on a consistency detection result of the first photoelectric volumetric pulse wave signal and the second photoelectric volumetric pulse wave signal collected by the electronic device.

8. A device for determining a physiological signal, characterized in that: Applied to electronic equipment, the device comprises: An acquisition module, configured to acquire a first photoplethysmogram signal when the electronic device is in a wearing mode; A receiving module, used for receiving a second photoelectric pulse wave signal collected by the earphone; Determine a first module, for determining a target photoelectric pulse wave signal based on a consistency detection result of the first photoelectric volumetric pulse wave signal and the second photoelectric pulse wave signal; A second module is determined, which is used to determine a physiological signal based on the target photoelectric pulse wave signal.

9. A device for determining a physiological signal, characterized in that: Applied to headphones, the device comprises: An acquisition module, configured to acquire a second photoplethysmogram signal when the headset is in a wearing mode; A sending module is used to send a second photoelectric pulse wave signal to an electronic device; the second photoelectric pulse wave signal is used to instruct the electronic device to determine a target photoelectric pulse wave signal based on a consistency detection result of the first photoelectric volumetric pulse wave signal and the second photoelectric volumetric pulse wave signal collected by the electronic device.

10. A computer program product, characterized in that The invention comprises a computer program, which, when executed, enables the method for determining a physiological signal according to any one of claims 1 to 6 to be executed; or enables the method for determining a physiological signal according to claim 7 to be executed.

11. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the electronic device implements the steps of the method for determining a physiological signal according to any one of claims 1 to 6.

12. A headset comprising a memory, a processor, and a A computer program running on a processor, characterized in that When the processor executes the computer program, The earphone implements the steps of the method for determining the physiological signal as claimed in claim 7.

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