Human body parameter detection method and system based on ear clip type earphone, and storage medium

Abstract

The embodiment of the invention discloses a human body parameter detection method and system based on an ear clip type earphone and a storage medium, applied to the ear clip type earphone, the ear clip type earphone comprises a first ear clip type earphone and a second ear clip type earphone, the first ear clip type earphone is integrated with a first detection device, and the second ear clip type earphone is integrated with a second detection device. The method comprises the steps that a first pulse wave signal is obtained through a first detection device in a transmission mode, a second pulse wave signal is obtained through a second detection device in a transmission mode, and a first ear clip earphone and a second ear clip earphone are clamped at different detection parts of a human body; determining a time difference parameter based on the first pulse wave signal and the second pulse wave signal; the human body parameter value is calculated according to the time difference parameter, and the accuracy of human body parameter detection and the signal-to-noise ratio of the received signal are improved.

Description

Technical Field

[0001] The embodiments of the present application relate to the technical field of electronic devices, and in particular to a method, system and storage medium for detecting human body parameters based on ear clip headphones. Background Art

[0002] With the progress and development of society and the improvement of people's quality of life, people are paying more and more attention to various parameters related to the human body. Since headphones have the characteristics of direct contact with the human body and are easy to wear, they can achieve good results in human body parameter detection. Therefore, a human body parameter detection function is added to headphones.

[0003] However, in the prior art, a reflective detection method is usually used to detect human body parameters. Since the light intensity is attenuated when it passes through the skin tissue of the detection area and is reflected to the signal receiving element, the detection of human body parameters is inaccurate and the signal-to-noise ratio of the received signal is low. In addition, when the reflective detection method is used in the prior art, headphones with human body parameter detection function are usually worn on the ears. Due to the different ear contours of different users, the headphones may not fit the ears completely, resulting in light leakage, which leads to inaccurate detection results. Summary of the invention

[0004] The embodiments of the present application provide a human body parameter detection method, system and storage medium based on ear clip headphones, which solve the problems of poor parameter detection accuracy and low signal-to-noise ratio caused by the reflective detection method used in the related art, and improve the accuracy of human body parameter detection.

[0005] In a first aspect, an embodiment of the present application provides a human body parameter detection method for an ear clip earphone, which is applied to an ear clip earphone, wherein the ear clip earphone comprises a first ear clip earphone and a second ear clip earphone, wherein the first ear clip earphone is integrated with a first detection device, and the second ear clip earphone is integrated with a second detection device, and the method comprises:

[0006] The first detection device is used to obtain a first pulse wave signal in a transmission manner, and the second detection device is used to obtain a second pulse wave signal in a transmission manner, wherein the first ear-clip earphone and the second ear-clip earphone are clamped at different detection positions of a human body;

[0007] Determine a time difference parameter based on the first pulse wave signal and the second pulse wave signal, and calculate a human body parameter value based on the time difference parameter; or determine a waveform characteristic parameter based on the first pulse wave signal and / or the second pulse wave signal, and calculate a human body parameter value based on the waveform characteristic parameter.

[0008] Optionally, determining a time difference parameter based on the first pulse wave signal and the second pulse wave signal includes:

[0009] determining a first characteristic point in the first pulse wave signal, and determining a second characteristic point in the second pulse wave signal;

[0010] A time difference parameter is obtained by calculating the time corresponding to the first feature point and the second feature point respectively.

[0011] Optionally, the determining a first characteristic point in the first pulse wave signal and the determining a second characteristic point in the second pulse wave signal include:

[0012] A first characteristic point in the first pulse wave signal is determined based on the associated peaks in the first pulse wave signal and the second pulse wave signal, and a second characteristic point in the second pulse wave signal is determined.

[0013] Optionally, determining waveform characteristic parameters based on the first pulse wave signal and the second pulse wave signal, and calculating human body parameter values ​​according to the waveform characteristic parameters, includes:

[0014] Perform signal screening according to the optical signal intensity and / or optical signal continuity of the first pulse wave signal and the second pulse wave signal;

[0015] The waveform characteristic parameters of the screened pulse wave signal are determined, and the waveform characteristic parameters are input into a preset parameter correlation model to obtain human body parameter values.

[0016] Optionally, before obtaining the first pulse wave signal by the first detection device in a transmission manner, the method further includes:

[0017] Receiving a human body parameter detection instruction sent by the smart terminal, and starting the first detection device and the second detection device;

[0018] Correspondingly, determining a time difference parameter based on the first pulse wave signal and the second pulse wave signal, and calculating a human body parameter value according to the time difference parameter; or determining a waveform characteristic parameter based on the first pulse wave signal and / or the second pulse wave signal, and calculating a human body parameter value according to the waveform characteristic parameter, includes:

[0019] The first pulse wave signal and the second pulse wave signal are sent to the smart terminal, so that after the smart terminal receives the first pulse wave signal and the second pulse wave signal, it determines a time difference parameter based on the first pulse wave signal and the second pulse wave signal, and calculates a human body parameter value according to the time difference parameter; or, determines a waveform characteristic parameter based on the first pulse wave signal and / or the second pulse wave signal, and calculates a human body parameter value according to the waveform characteristic parameter.

[0020] Optionally, the first ear-clip earphone comprises a first ear-clip portion and a second ear-clip portion, the first ear-clip portion and the second ear-clip portion are clamped on both sides of a detection part of a human body, the first detection device comprises a first light-emitting element arranged on the first ear-clip portion and a first receiving element arranged on the second ear-clip portion, and the first pulse wave signal is obtained by transmission through the first detection device, comprising:

[0021] The first light emitting element is controlled to emit light to pass through the human body detection part, and a first pulse wave signal is generated through the transmitted light received by the first receiving element.

[0022] In a second aspect, an embodiment of the present application provides a human body parameter detection device based on an ear clip earphone, wherein the ear clip earphone comprises a first ear clip earphone and a second ear clip earphone, wherein the first ear clip earphone is integrated with a first detection device, and the second ear clip earphone is integrated with a second detection device, wherein the human body parameter detection device comprises:

[0023] a signal acquisition module, configured to obtain a first pulse wave signal in a transmission manner through the first detection device, and to obtain a second pulse wave signal in a transmission manner through the second detection device, wherein the first ear-clip earphone and the second ear-clip earphone are clamped at different detection positions of a human body;

[0024] A parameter value calculation module is used to determine a time difference parameter based on the first pulse wave signal and the second pulse wave signal, and obtain a human body parameter value based on the time difference parameter; or to determine a waveform characteristic parameter based on the first pulse wave signal and / or the second pulse wave signal, and obtain a human body parameter value based on the waveform characteristic parameter.

[0025] Optionally, the first ear-clip earphone comprises a first ear-clip portion and a second ear-clip portion, the first ear-clip portion and the second ear-clip portion are clamped on both sides of a detection part of a human body, the first detection device comprises a first light-emitting element arranged on the first ear-clip portion and a first receiving element arranged on the second ear-clip portion, the first pulse wave signal is obtained by transmission through the first detection device, and the human body parameter detection device further comprises:

[0026] A control module, used for controlling the first light emitting element to emit light to pass through the human body detection part;

[0027] The signal generating module is further used to generate a first pulse wave signal through the transmitted light received by the first receiving element.

[0028] In a third aspect, an embodiment of the present application provides a human body parameter detection system for an ear-clip earphone, comprising a processor, a first ear-clip earphone and a second ear-clip earphone, wherein the first ear-clip earphone is integrated with a first detection device, and the second ear-clip earphone is integrated with a second detection device, the first ear-clip earphone and the second ear-clip earphone are clamped at different detection parts of the human body, the processor is integrated in the first ear-clip earphone or the second ear-clip earphone, and is used to send a detection instruction to the first detection device and the second detection device, obtain a first pulse wave signal in a transmission manner through the first detection device, and obtain a second pulse wave signal in a transmission manner through the second detection device, determine a time difference parameter based on the first pulse wave signal and the second pulse wave signal, and calculate a human body parameter value based on the time difference parameter, or determine a waveform characteristic parameter based on the first pulse wave signal and / or the second pulse wave signal, and calculate the human body parameter value based on the waveform characteristic parameter.

[0029] In a fourth aspect, an embodiment of the present application provides a storage medium comprising computer executable instructions, which, when executed by a computer processor, are used to perform the human body parameter detection method for the ear clip type earphone as described in the first aspect.

[0030] In the embodiment of the present application, the first detection device obtains the first pulse wave signal in a transmission manner, and the second detection device obtains the second pulse wave signal in a transmission manner. The first ear-clip earphone and the second ear-clip earphone are clamped at different detection parts of the human body. A time difference parameter is determined based on the first pulse wave signal and the second pulse wave signal. The human body parameter value is calculated according to the time difference parameter. The parameters of different parts of the human body can be detected simultaneously by two ear-clip earphones. The simultaneous detection of two detection methods can further improve the accuracy of human body parameter detection. The ear-clip earphone adopts a transmission detection method to fit the human body more closely, so that light can completely pass through the detection part, thereby avoiding the interference of ambient light and affecting the accuracy of human body parameter detection, and also improving the signal-to-noise ratio of the received light signal. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 is a flow chart of a human body parameter detection method for an ear clip type earphone provided in an embodiment of the present application;

[0032] Figure 2 is a schematic diagram of an ear-clip type earphone provided in an embodiment of the present application;

[0033] Figure 3 is a flow chart of a method for calculating human body parameters based on time difference parameters provided in an embodiment of the present application;

[0034] Figure 4 is a pulse wave signal schematic diagram provided in an embodiment of the present application;

[0035] Figure 5 is a flow chart of a method for calculating human body parameters based on waveform characteristic parameters provided in an embodiment of the present application;

[0036] Figure 6 is a complete pulse wave waveform diagram provided by an embodiment of the present application;

[0037] Figure 7 is a flow chart of another method for detecting human body parameters of an ear clip type earphone provided in an embodiment of the present application;

[0038] Figure 8 It is a structural schematic diagram of a human body parameter detection device for an ear clip type earphone provided in an embodiment of the present application;

[0039] Fig. 9 It is a structural schematic diagram of a human body parameter detection system for an ear clip type earphone provided in an embodiment of the present application. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical scheme and advantages of the present application clearer, the specific embodiments of the present application are further described in detail below in conjunction with the accompanying drawings. It is understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for the convenience of description, only the part related to the present application but not all the contents are shown in the accompanying drawings. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow chart describes each operation (or step) as a sequential process, many of the operations therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of each operation can be rearranged. The process can be terminated when its operation is completed, but it can also have additional steps not included in the accompanying drawings. The process can correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.

[0041] The use scenario of the embodiment of the present application is to detect human body parameters before, during or after exercise through ear clip earphones, and the execution subject of the present solution is ear clip earphones, which can be a mobile communication device with Bluetooth function, and can also be clamped on the detection part of the human body to detect human body parameters. The ear clip earphones can be connected to a smart terminal with Bluetooth function, such as a mobile phone, a smart watch, etc., through Bluetooth.

[0042] In one embodiment, the ear clip earphone comprises a first ear clip earphone and a second ear clip earphone, the first ear clip earphone is integrated with a first detection device, and the second ear clip earphone is integrated with a second detection device.

[0043] The ear clip earphone can detect human body parameters by clamping it on a certain part of the human body. The ear clip earphone has an integrated detection device inside, and the detection device includes a light emitting part and a receiving part. The number of the ear clip earphone can be one or two. If there are two, they respectively include a first ear clip earphone and a second ear clip earphone. The first ear clip earphone and the second ear clip earphone can be earphones clamped on different parts of the human body, such as the first ear clip earphone clamped on the ear and the second ear clip earphone clamped on the finger or the first ear clip earphone clamped on the finger and the second ear clip earphone clamped on the ear, which can be used to detect the detection values ​​of human body parameters at different parts. The detection values ​​of the human body parameters may include blood pressure value, heart rate value and blood oxygen value, etc. The first detection device is integrated inside the first ear clip earphone, and the second detection device is integrated inside the second ear clip earphone. The first detection device and the second detection device can be used to detect the light transmitted through the clamping part of the first ear clip earphone and the light transmitted through the clamping part of the second ear clip earphone, respectively.

[0044] Figure 1 : is a flow chart of a human body parameter detection method of an ear clip type earphone provided in an embodiment of the present application, such as Figure 1 As shown, the specific steps include:

[0045] Step S101: obtaining a first pulse wave signal by a first detection device in a transmission manner, and obtaining a second pulse wave signal by a second detection device in a transmission manner, and the first ear-clip earphone and the second ear-clip earphone are clamped at different detection positions of the human body.

[0046] In one embodiment, the transmission method can be a method for detecting human body parameters, wherein the light emitting element illuminates the skin on one side of the detection part, and the receiving element receives the transmitted light passing through the detection part on the other side of the detection part, thereby obtaining a pulse wave signal. The pulse wave signal can be the intensity of the light signal of the transmitted light received by the receiving element as time changes. The first ear clip earphone and the second ear clip earphone are clamped on different parts of the human body respectively, and the first detection device integrated in the first ear clip earphone detects the intensity of the transmitted light passing through the clamping part for a period of time to obtain a first pulse wave signal. The second detection device integrated in the second ear clip earphone detects the transmitted light passing through the clamping part for a period of time to obtain a second pulse wave signal. The start time of the detection by the first detection device and the second detection device is the same. In one embodiment, a Bluetooth processor can be integrated in the first ear clip earphone or the second ear clip earphone. If the Bluetooth processor is integrated in the first ear clip earphone, the obtained first pulse wave signal is stored in the Bluetooth processor, and the obtained second pulse wave signal can be sent to the Bluetooth processor in the first ear clip earphone.

[0047] Step S102: determine a time difference parameter based on the first pulse wave signal and the second pulse wave signal, and calculate a human body parameter value based on the time difference parameter; or determine a waveform characteristic parameter based on the first pulse wave signal and / or the second pulse wave signal, and calculate a human body parameter value based on the waveform characteristic parameter.

[0048] If the blood pressure parameters of the human body are detected, since the first ear clip earphone and the second ear clip earphone are clamped on different parts of the human body respectively, the distances between the heart and the two clamping parts are different, and the detection device detects that the change trend of the same transmitted light intensity signal corresponds to different change times, so there is a time difference between the first pulse signal and the second pulse signal. The time difference parameter can be used to represent the time difference when the change trends of the first pulse wave signal and the second pulse wave signal are the same. The time difference parameter is less than the period of a pulse wave waveform. Exemplarily, if the intensity of the transmitted light starts to increase from the 5th second in the first pulse wave signal, and the intensity of the transmitted light starts to increase from the 7th second in the second pulse wave signal, it can be determined that the time difference parameter is 2 seconds.

[0049] After obtaining the time difference parameter, the time difference parameter is input into the preset time difference model to obtain the human body parameter value, and the time difference model records the corresponding relationship between different time difference parameter values ​​and human body parameter values. The time difference model can be a model for quickly determining the human body parameter value according to the time difference. The time difference model can be determined by training in advance based on historical big data. The time difference model can record the corresponding relationship between different time difference parameter values ​​and human body parameter values ​​in the form of a mapping relationship table. After determining the time difference parameter, the human body parameter value corresponding to the time difference parameter can be found. The relationship between the time difference model and the human body parameter value can also be obtained in the pre-training process. After determining the time difference parameter, the time difference parameter is brought into the relationship to calculate the human body parameter value. The time difference model can be pre-configured in the ear clip headset or in the smart terminal. After determining the time difference parameter, the time difference parameter is input into the time difference model inside the ear clip headset or the time difference model built into the smart terminal, and the human body parameter value can be quickly output.

[0050] The waveform characteristic parameters can be used to represent the parameters constituting the pulse wave signal waveform during the human body parameter detection process, and may include time parameters, amplitude parameters, area parameters, and heart rate parameters. Among them, the time parameter can be used to represent the proportion of time of different states, including the proportion of systolic time and the proportion of diastolic time, etc. The amplitude parameter can be used to represent the relative height of the pulse wave signal change amplitude within a certain period of time, which may include the relative height of the descending gorge and the relative height of the dicrotic wave, etc. The area parameter can be used to represent the area surrounded by multiple characteristic points in the waveform of the pulse wave signal, and the heart rate parameter can be used to represent the change of the heart rate or the average heart rate during the detection time. By obtaining the blood pressure values ​​corresponding to multiple sets of waveform characteristic parameters, the parameter correlation model between the parameters in the waveform characteristic parameters is trained. After obtaining the first pulse wave signal and / or the second pulse wave signal, the corresponding waveform characteristic parameters are input into the parameter correlation model to calculate the human body parameter values.

[0051] As can be seen from the above, the ear-clip earphone includes a first ear-clip earphone and a second ear-clip earphone, the first ear-clip earphone is integrated with a first detection device, and the second ear-clip earphone is integrated with a second detection device, a first pulse wave signal is obtained by the first detection device in a transmission manner, and a second pulse wave signal is obtained by the second detection device in a transmission manner, and the first ear-clip earphone and the second ear-clip earphone are clamped at different detection parts of the human body; a time difference parameter is determined based on the first pulse wave signal and the second pulse wave signal, and a human body parameter value is calculated according to the time difference parameter; or, a waveform characteristic parameter is determined based on the first pulse wave signal and / or the second pulse wave signal, and a human body parameter value is calculated according to the waveform characteristic parameter; parameters of different parts of the human body can be detected simultaneously by two ear-clip earphones, and simultaneous detection by two-way detection methods can further improve the accuracy of human body parameter detection, and the ear-clip earphone adopts a transmission detection method to fit the human body more closely, so that light can completely pass through the detection part, avoiding the interference of ambient light affecting the accuracy of human body parameter detection, and also improving the signal-to-noise ratio of the received light signal.

[0052] Figure 2 is a schematic diagram of an ear clip type earphone provided in an embodiment of the present application, such as Figure 2 As shown, the first ear-clip earphone 21 includes a first ear-clip portion 22 and a second ear-clip portion 23, the first ear-clip portion 22 and the second ear-clip portion 23 are clamped on both sides of the detection part of the human body, the first detection device includes a first light-emitting element 24 arranged on the first ear-clip portion 22 and a first receiving element 25 arranged on the second ear-clip portion, and the first pulse wave signal is obtained by the first detection device in a transmission manner, including:

[0053] The first light emitting element is controlled to emit light to pass through the detection part of the human body, and the first pulse wave signal is generated by the transmitted light received by the first receiving element.

[0054] The first earphone part 22 and the second ear clip part 23 are clamped on both sides of the human body detection part, and the first light-emitting element 24 and the first receiving element 25 are respectively arranged in the first earphone part 22 and the second earphone part 23, forming a device of the first detection device. The first light-emitting element 24 can be used to emit light to illuminate the skin of the detection part, that is, the skin of the clamping part of the first ear clip earphone 21, and can be a single-color LED lamp or a multi-color LED lamp, etc., and can emit lights of different colors according to different human body parameter detection functions. The first receiving element 25 can be used to receive light signals passing through the clamping part of the first ear clip earphone, and can be a photoelectric sensor. When the first ear clip earphone 21 receives the human body parameter detection instruction sent from the smart terminal, the first light-emitting element 24 is controlled to emit light of corresponding color to illuminate the human body detection part according to the detection function contained in the human body parameter detection instruction, and the light is transmitted through the human body detection part, and the first receiving element 25 receives the transmitted light passing through the human body detection part to generate a first pulse signal.

[0055] In one embodiment, the second ear clip earphone also includes a first ear clip part and a second ear clip part, and the second detection device includes a second light-emitting element arranged in the second ear clip part and a second receiving element arranged in the second ear clip part, and the second light-emitting element is controlled to emit light to pass through the human body detection part, and the second pulse wave signal is generated by the transmitted light received by the second receiving element. The second light-emitting element and the second receiving element constitute the second detection device, and the second light-emitting element can be used to emit light to illuminate the skin of the detection part, that is, the skin of the clamping part of the second ear clip earphone, and can also be a single-color LED lamp or a multi-color LED lamp, etc., and can emit lights of different colors according to different human body parameter detection functions. The second receiving element can be used to receive the light signal passing through the clamping part of the second ear clip earphone, and can also be a photoelectric sensor. When the second ear clip earphone receives the human body parameter detection instruction sent from the smart terminal, according to the detection function contained in the human body parameter detection instruction, the second light-emitting element is controlled to emit light of corresponding color to illuminate the human body detection part, and the light passes through the human body detection part, and the second receiving element receives the transmitted light passing through the human body detection part, and generates the second pulse signal.

[0056] As can be seen from the above, the first light emitting element is controlled to emit light to pass through the detection part of the human body, and the first pulse wave signal is generated by the transmitted light received by the first receiving element, and the second light emitting element is controlled to emit light to pass through the detection part of the human body, and the second pulse wave signal is generated by the transmitted light received by the second receiving element. The accuracy of human body parameter detection can be further improved by simultaneous detection by two-way transmission detection methods, and the ear clip earphone adopts the transmission detection method to make the detection device fit closely with the human body, so that the light can completely pass through the detection part, and the receiver is prevented from being disturbed by ambient light and affecting the accuracy of human body parameter detection.

[0057] Figure 3is a flow chart of a method for calculating human body parameters based on time difference parameters provided in an embodiment of the present application, such as Figure 3 As shown, the specific steps include:

[0058] Step S301: obtaining a first pulse wave signal by a first detection device in a transmission manner, and obtaining a second pulse wave signal by a second detection device in a transmission manner, and the first ear-clip earphone and the second ear-clip earphone are clamped at different detection positions of the human body.

[0059] Step S302: determine a first characteristic point in the first pulse wave signal, and determine a second characteristic point in the second pulse wave signal.

[0060] In one embodiment, the first characteristic point may be a point randomly selected in the first pulse wave signal, and the first characteristic point may represent the transmitted light intensity signal received by the first detection device at a certain point in time, and the first characteristic point may be a peak or a trough in the first pulse wave signal, etc. The second characteristic point may also be a point randomly selected in the second pulse wave signal, and the second characteristic point may represent the transmitted light intensity signal received by the second detection device at a certain point in time, and the second characteristic point may be a peak or a trough in the second pulse wave signal, etc. The first characteristic point and the second characteristic point may be points at the same position in the first pulse wave signal and the second pulse wave signal, and the second characteristic point may be determined based on the first characteristic point, or the first characteristic point may be determined based on the second characteristic point. Exemplarily, if the first characteristic point is the first peak in the first pulse wave signal, then the second characteristic point is also the first peak in the second pulse wave signal.

[0061] Step S303: Calculate a time difference parameter based on the time corresponding to the first feature point and the second feature point, and calculate a human body parameter value based on the time difference parameter.

[0062] Exemplarily, if the first characteristic point is the first peak in the first pulse wave signal, and the second characteristic point is also the first peak in the second pulse wave signal, and the time point corresponding to the first characteristic point is determined to be the 3rd second, and the time point corresponding to the second characteristic point is determined to be the 2nd second, then the time difference parameter between the first characteristic point and the second characteristic point can be calculated to be 1 second, and the time difference parameter is input into the preset time difference model, and the human body parameter value is obtained according to the correspondence between the time difference parameter recorded in the time difference model and the human body parameter value.

[0063] From the above, it can be seen that the first characteristic point in the first pulse wave signal is determined, and the second characteristic point in the second pulse wave signal is determined, and the time difference parameter is calculated according to the time corresponding to the first characteristic point and the second characteristic point respectively. By determining the characteristic points in the two pulse wave signals respectively and calculating the time difference parameter by comparing the time corresponding to the characteristic points, the calculation efficiency and accuracy of the time difference parameter are improved.

[0064] In one embodiment, the determining of the first characteristic point in the first pulse wave signal and the determining of the second characteristic point in the second pulse wave signal include:

[0065] Based on the associated peaks in the first pulse wave signal and the second pulse wave signal, a first characteristic point in the first pulse wave signal is determined, and a second characteristic point in the second pulse wave signal is determined.

[0066] The waveform of the first pulse wave signal is determined according to the changing trend and changing speed of the first pulse wave signal, and the waveform of the second pulse wave signal is determined according to the changing trend and changing speed of the second pulse wave signal. When the waveform of the first pulse wave signal is the same as the waveform of the second pulse wave signal, the first characteristic point and the second characteristic point are respectively determined. Figure 4 is a pulse wave signal schematic diagram provided in an embodiment of the present application, such as Figure 4 By comparing the waveform of the first pulse wave signal 41 with the waveform of the second pulse wave signal 42, the peaks of the same shape are determined as associated peaks, and the two associated peaks are determined as the first characteristic point 43 and the second characteristic point 44 respectively.

[0067] From the above, it can be seen that according to the associated peaks in the first pulse wave signal and the second pulse wave signal, the first characteristic point in the first pulse wave signal is determined, and the second characteristic point in the second pulse wave signal is determined. The first characteristic point and the second characteristic point can be quickly determined through the associated peaks, thereby improving the efficiency of determining the characteristic points.

[0068] Figure 5 is a flow chart of a method for calculating human body parameters based on waveform characteristic parameters provided in an embodiment of the present application, such as Figure 5 As shown, the specific steps include:

[0069] Step S501: obtaining a first pulse wave signal by means of transmission through the first detection device, and obtaining a second pulse wave signal by means of transmission through the second detection device, wherein the first ear-clip earphone and the second ear-clip earphone are clamped at different detection positions of the human body.

[0070] Step S502: Perform signal screening according to the optical signal strength and / or optical signal continuity of the first pulse wave signal and the second pulse wave signal.

[0071] In one embodiment, the preset threshold value may be a preset light intensity threshold value. The first pulse wave signal and the second pulse wave signal obtained are screened according to the intensity of the light signal and the continuity of the waveform. The light intensity threshold value is preset, and the light intensity of the first pulse wave signal is compared with the preset light intensity, and the pulse wave signal having a light intensity greater than the light intensity threshold value is screened. If the light intensity of the first pulse wave signal and the second pulse wave signal are both greater than the light intensity threshold value, the pulse wave signal with a higher light intensity is screened or the continuity of the pulse wave waveform is further compared to obtain a continuous pulse wave waveform. Or first determine whether the first pulse wave signal and the second pulse wave signal are continuous, and a continuous pulse wave waveform is screened. If the first pulse wave signal and the second pulse wave signal are both continuous, the light intensity is further compared. The waveform characteristic parameters of the first pulse wave signal and the second pulse wave signal are determined according to the screening results.

[0072] Step S503: determine the waveform characteristic parameters of the screened pulse wave signal, and input the waveform characteristic parameters into a preset parameter correlation model to obtain human body parameter values.

[0073] Figure 6 is a complete pulse wave waveform diagram provided by the embodiment of the present application, such as Figure 6 As shown, it includes characteristic points A, B, C, D, and E, the proportion of systolic time parameter is t1 / t, the proportion of diastolic time is t2 / t, the relative height of the descending isthmus is h2 / h1, the relative height of the dicrotic wave is h3 / h1, and the area parameter K1=S ABCU / S AFHU 、K2=S UCDE / S UHIE The calculation formula of heart rate parameters is:

[0074]

[0075] Where A(i) represents the starting point of the ith pulse wave. The human body parameter value corresponding to the waveform characteristic parameter is determined, and multiple sets of data are obtained in this way to train the parameter correlation model. The human body parameter value is calculated by inputting the waveform characteristic parameter into the parameter correlation model.

[0076] Figure 7 FIG. 1 is a flow chart of another method for detecting human body parameters of an ear clip type earphone provided in an embodiment of the present application. Figure 7 As shown, the specific steps include:

[0077] Step S701: Receive a human body parameter detection instruction sent by a smart terminal, and start a first detection device and a second detection device.

[0078] In one embodiment, the smart terminal may be an electronic device with a Bluetooth function and capable of performing smart interaction, and may include a mobile phone, a tablet computer, and a smart watch. The human body parameter detection instruction may be an instruction for controlling human body parameter detection, and the human body parameter detection instruction may include a detection function and a detection time, etc. By running a human body parameter detection application on the smart terminal, and sending a human body parameter detection instruction of a corresponding function to the first ear clip earphone and the second ear clip earphone through selection or input by the user on the smart terminal, the first ear clip earphone and the second ear clip earphone respectively control the operation of the first detection device and the second detection device after receiving the human body parameter detection instruction.

[0079] Step S702: obtaining a first pulse wave signal in a transmission manner through the first detection device, and obtaining a second pulse wave signal in a transmission manner through the second detection device, the first ear-clip earphone and the second ear-clip earphone are clamped at different detection positions of the human body.

[0080] Step S703, sending the first pulse wave signal and the second pulse wave signal to the smart terminal, so that after the smart terminal receives the first pulse wave signal and the second pulse wave signal, it determines a time difference parameter based on the first pulse wave signal and the second pulse wave signal, and calculates a human body parameter value according to the time difference parameter; or, determines a waveform characteristic parameter based on the first pulse wave signal and / or the second pulse wave signal, and calculates a human body parameter value according to the waveform characteristic parameter.

[0081] The obtained first pulse wave signal and the second pulse wave signal are sent to the smart terminal. When the smart terminal receives the first pulse wave signal and the second pulse wave signal, the first characteristic point in the first pulse wave signal and the second characteristic point in the second pulse wave signal are determined respectively. The time difference is calculated according to the time corresponding to the first characteristic point and the time corresponding to the second characteristic point, and the calculated time difference is input into the time difference model pre-stored in the smart terminal. The human body detection parameter value is obtained according to the corresponding relationship or relationship between the time difference and the human body detection parameter stored in the time difference model. Alternatively, the obtained first pulse wave signal and the second pulse wave signal are sent to the smart terminal. When the smart terminal receives the first pulse wave signal and the second pulse wave signal, the first pulse wave signal and the second pulse wave signal are screened, and the waveform characteristic parameters are extracted according to the screening results. The waveform characteristic parameters are input into the parameter correlation model pre-stored in the smart terminal, and the human body detection parameter value is obtained according to the corresponding relationship or relationship between the waveform characteristic parameters and the human body detection parameters in the parameter correlation model. After the human body parameter value is calculated according to the time difference parameter, the human body parameter value is displayed in the app interface of the smart terminal.

[0082] If the human body parameter values ​​are calculated by the ear clip earphones, the calculated human body parameter values ​​can be sent to the smart terminal and displayed in the app interface running on the smart terminal. If the human body parameter values ​​are calculated by the smart terminal, the calculation results can be directly displayed in the app interface of the smart terminal. The human body parameter values ​​can be displayed intuitively, and it is convenient to analyze the human body parameter values ​​through the smart terminal and to interact with the user, thereby improving the user experience.

[0083] As can be seen from the above, a human body parameter detection instruction sent by a smart terminal is received, the first detection device and the second detection device are turned on, a first pulse wave signal is obtained by the first detection device in a transmission manner, and a second pulse wave signal is obtained by the second detection device in a transmission manner, the first ear clip earphone and the second ear clip earphone are clamped at different detection parts of the human body, and the first pulse wave signal and the second pulse wave signal are sent to the smart terminal, so that after the smart terminal receives the first pulse wave signal and the second pulse wave signal, a time difference parameter is determined based on the first pulse wave signal and the second pulse wave signal, and a human body parameter value is calculated according to the time difference parameter; or, a waveform characteristic parameter is determined based on the first pulse wave signal and / or the second pulse wave signal, and a human body parameter value is calculated according to the waveform characteristic parameter, and a specific function can be detected according to the human body parameter detection instruction, thereby improving the detection efficiency of the corresponding detection function, and the detection result can be made more accurate by the two-way transmission detection method, and the ear clip earphone adopts the transmission detection method to fit the human body more closely, so that the light can be completely transmitted through the detection part, and the interference of ambient light can be avoided to affect the accuracy of human body parameter detection, and the signal-to-noise ratio of the received light signal is also improved.

[0084] Figure 8 is a structural schematic diagram of a human body parameter detection device for an ear clip type earphone provided in an embodiment of the present application, such as Figure 8 As shown, the ear clip earphone comprises a first ear clip earphone and a second ear clip earphone, the first ear clip earphone is integrated with a first detection device, the second ear clip earphone is integrated with a second detection device, and the human body parameter detection device comprises:

[0085] A signal acquisition module 81, for obtaining a first pulse wave signal in a transmission manner through a first detection device, and obtaining a second pulse wave signal in a transmission manner through a second detection device, wherein the first ear-clip earphone and the second ear-clip earphone are clamped at different detection positions of a human body;

[0086] The parameter value calculation module 82 is used to determine the time difference parameter based on the first pulse wave signal and the second pulse wave signal, and obtain the human body parameter value according to the time difference parameter; or, determine the waveform characteristic parameter based on the first pulse wave signal and / or the second pulse wave signal, and obtain the human body parameter value according to the waveform characteristic parameter.

[0087] As can be seen from the above, the ear clip earphone includes a first ear clip earphone and a second ear clip earphone, the first ear clip earphone is integrated with a first detection device, and the second ear clip earphone is integrated with a second detection device, and the method includes: obtaining a first pulse wave signal in a transmission manner through the first detection device, and obtaining a second pulse wave signal in a transmission manner through the second detection device, and the first ear clip earphone and the second ear clip earphone are clamped at different detection parts of the human body; determining a time difference parameter based on the first pulse wave signal and the second pulse wave signal, and calculating a human body parameter value according to the time difference parameter; or determining a waveform characteristic parameter based on the first pulse wave signal and / or the second pulse wave signal, and calculating a human body parameter value according to the waveform characteristic parameter; parameters of different parts of the human body can be detected simultaneously by two ear clip earphones, and simultaneous detection by two detection methods can further improve the accuracy of human body parameter detection, and the ear clip earphone adopts a transmission detection method to fit the human body more closely, so that light can completely pass through the detection part, avoiding the interference of ambient light affecting the accuracy of human body parameter detection, and also improving the signal-to-noise ratio of the received light signal.

[0088] In one embodiment, the human body parameter detection device further includes a feature point determination module;

[0089] A feature point determination module, used to determine a first feature point in the first pulse wave signal, and to determine a second feature point in the second pulse wave signal;

[0090] The parameter value calculation module 82 is further used to calculate the time difference parameter according to the time corresponding to the first characteristic point and the second characteristic point respectively.

[0091] In one embodiment, the feature point determination module is further used to determine a first feature point in the first pulse wave signal and a second feature point in the second pulse wave signal according to associated peaks in the first pulse wave signal and the second pulse wave signal.

[0092] In one embodiment, the human body parameter detection device further includes a screening module;

[0093] A screening module, used for screening signals according to the optical signal strength and / or optical signal continuity of the first pulse wave signal and the second pulse wave signal;

[0094] The parameter value calculation module 82 is also used to determine the waveform characteristic parameters of the screened pulse wave signal, and input the waveform characteristic parameters into a preset parameter correlation model to obtain human body parameter values.

[0095] In one embodiment, the human body parameter detection device further includes an instruction receiving module;

[0096] The instruction receiving module is used to receive the human body parameter detection instruction sent by the intelligent terminal and start the first detection device and the second detection device.

[0097] The parameter value calculation module 82 is also used to send the first pulse wave signal and the second pulse wave signal to the smart terminal, so that after the smart terminal receives the first pulse wave signal and the second pulse wave signal, it determines the time difference parameter based on the first pulse wave signal and the second pulse wave signal, and calculates the human body parameter value according to the time difference parameter; or, determines the waveform characteristic parameter based on the first pulse wave signal and / or the second pulse wave signal, and calculates the human body parameter value according to the waveform characteristic parameter.

[0098] In one embodiment, the first ear-clip earphone comprises a first ear-clip portion and a second ear-clip portion, the first ear-clip portion and the second ear-clip portion are clamped on both sides of a detection part of a human body, the first detection device comprises a first light-emitting element arranged on the first ear-clip portion and a first receiving element arranged on the second ear-clip portion, the first pulse wave signal is obtained by transmission through the first detection device, and the human body parameter detection device further comprises:

[0099] A control module, used for controlling the first light emitting element to emit light to pass through the human body detection part;

[0100] The signal generating module is further used to generate a first pulse wave signal through the transmitted light received by the first receiving element.

[0101] Fig. 9 is a structural schematic diagram of a human body parameter detection system for an ear clip type earphone provided in an embodiment of the present application, such as Fig. 9 As shown, it includes a processor 91, a first ear-clip earphone 92 and a second ear-clip earphone 93, the first ear-clip earphone 92 is integrated with a first detection device, the second ear-clip earphone 93 is integrated with a second detection device, the first ear-clip earphone 92 and the second ear-clip earphone 93 are clamped at different detection parts of the human body, the processor is integrated in the first ear-clip earphone 92 or the second ear-clip earphone 93, and is used to send a detection instruction to the first detection device and the second detection device, obtain a first pulse wave signal in a transmission manner through the first detection device, and obtain a second pulse wave signal in a transmission manner through the second detection device, determine a time difference parameter based on the first pulse wave signal and the second pulse wave signal, and calculate a human body parameter value according to the time difference parameter, or determine a waveform characteristic parameter based on the first pulse wave signal and / or the second pulse wave signal, and calculate a human body parameter value according to the waveform characteristic parameter.

[0102] From the above, it can be seen that the parameters of different parts of the human body can be detected simultaneously through two ear clip headphones. The simultaneous detection of two detection methods can further improve the accuracy of human body parameter detection. The ear clip headphones use a transmission detection method to fit the human body more closely, allowing light to completely pass through the detection part, avoiding the interference of ambient light and affecting the accuracy of human body parameter detection, and also improving the signal-to-noise ratio of the received light signal.

[0103] An embodiment of the present application also provides a non-volatile storage medium containing computer executable instructions, which, when executed by a computer processor, is used to execute a human body parameter detection method for an ear-clip earphone described in the above embodiment, which includes: obtaining a first pulse wave signal in a transmission manner through the first detection device, and obtaining a second pulse wave signal in a transmission manner through the second detection device, the first ear-clip earphone and the second ear-clip earphone being clamped at different detection parts of the human body; determining a time difference parameter based on the first pulse wave signal and the second pulse wave signal; and calculating a human body parameter value based on the time difference parameter.

[0104] In some possible implementations, various aspects of the method provided in the present application may also be implemented in the form of a program product, which includes a program code. When the program product is run on a computer device, the program code is used to enable the computer device to execute the steps of the method according to various exemplary embodiments of the present application described above in this specification. For example, the computer device may execute the human body parameter detection method for ear clip headphones recorded in the embodiments of the present application. The program product may be implemented in any combination of one or more readable media.

Claims

1. A human body parameter detection method based on ear clip earphones, characterized in that: Applied to an ear clip earphone, the ear clip earphone comprises a first ear clip earphone and a second ear clip earphone, the first ear clip earphone is integrated with a first detection device, the second ear clip earphone is integrated with a second detection device, the method comprises: The first detection device is used to obtain a first pulse wave signal in a transmission manner, and the second detection device is used to obtain a second pulse wave signal in a transmission manner, wherein the first ear-clip earphone and the second ear-clip earphone are clamped at different detection positions of a human body; Determine a time difference parameter based on the first pulse wave signal and the second pulse wave signal, and calculate a human body parameter value based on the time difference parameter; or determine a waveform characteristic parameter based on the first pulse wave signal and / or the second pulse wave signal, and calculate a human body parameter value based on the waveform characteristic parameter.

2. The human body parameter detection method of the ear clip type earphone according to claim 1, characterized in that: The determining of a time difference parameter based on the first pulse wave signal and the second pulse wave signal comprises: determining a first characteristic point in the first pulse wave signal, and determining a second characteristic point in the second pulse wave signal; A time difference parameter is obtained by calculating the time corresponding to the first feature point and the second feature point respectively.

3. The human body parameter detection method of the ear clip type earphone according to claim 2, characterized in that: The determining of a first characteristic point in the first pulse wave signal and the determining of a second characteristic point in the second pulse wave signal include: A first characteristic point in the first pulse wave signal is determined based on the associated peaks in the first pulse wave signal and the second pulse wave signal, and a second characteristic point in the second pulse wave signal is determined.

4. The human body parameter detection method of the ear clip type earphone according to claim 1, characterized in that: The determining of waveform characteristic parameters based on the first pulse wave signal and the second pulse wave signal, and calculating human body parameter values ​​according to the waveform characteristic parameters, comprises: Perform signal screening according to the optical signal intensity and / or optical signal continuity of the first pulse wave signal and the second pulse wave signal; The waveform characteristic parameters of the screened pulse wave signal are determined, and the waveform characteristic parameters are input into a preset parameter correlation model to obtain human body parameter values.

5. The human body parameter detection method of the ear clip type earphone according to any one of claims 1 to 4, characterized in that: Before obtaining the first pulse wave signal by the first detection device in a transmission manner, the method further includes: Receiving a human body parameter detection instruction sent by the smart terminal, and starting the first detection device and the second detection device; Correspondingly, determining a time difference parameter based on the first pulse wave signal and the second pulse wave signal, and calculating a human body parameter value according to the time difference parameter; or determining a waveform characteristic parameter based on the first pulse wave signal and / or the second pulse wave signal, and calculating a human body parameter value according to the waveform characteristic parameter, includes: The first pulse wave signal and the second pulse wave signal are sent to the smart terminal, so that after the smart terminal receives the first pulse wave signal and the second pulse wave signal, it determines a time difference parameter based on the first pulse wave signal and the second pulse wave signal, and calculates a human body parameter value according to the time difference parameter; or, determines a waveform characteristic parameter based on the first pulse wave signal and / or the second pulse wave signal, and calculates a human body parameter value according to the waveform characteristic parameter.

6. The method for detecting human body parameters of an ear clip type earphone according to any one of claims 1 to 4, characterized in that: The first ear-clip earphone comprises a first ear-clip portion and a second ear-clip portion, the first ear-clip portion and the second ear-clip portion are clamped on both sides of a detection part of a human body, the first detection device comprises a first light-emitting element arranged on the first ear-clip portion and a first receiving element arranged on the second ear-clip portion, and the first pulse wave signal is obtained by transmission through the first detection device, including: The first light emitting element is controlled to emit light to pass through the human body detection part, and a first pulse wave signal is generated through the transmitted light received by the first receiving element.

7. A human body parameter detection device based on an ear clip earphone, the ear clip earphone comprising a first ear clip earphone and a second ear clip earphone, the first ear clip earphone being integrated with a first detection device, the second ear clip earphone being integrated with a second detection device, the human body parameter detection device comprising: a signal acquisition module, configured to obtain a first pulse wave signal in a transmission manner through the first detection device, and to obtain a second pulse wave signal in a transmission manner through the second detection device, wherein the first ear-clip earphone and the second ear-clip earphone are clamped at different detection positions of a human body; A parameter value calculation module is used to determine a time difference parameter based on the first pulse wave signal and the second pulse wave signal, and obtain a human body parameter value based on the time difference parameter; or to determine a waveform characteristic parameter based on the first pulse wave signal and / or the second pulse wave signal, and obtain a human body parameter value based on the waveform characteristic parameter.

8. The human body parameter detection device of the ear clip type earphone according to claim 7, wherein the first ear clip earphone comprises a first ear clip part and a second ear clip part, the first ear clip part and the second ear clip part are clamped on both sides of the human body detection part, the first detection device comprises a first light emitting element arranged on the first ear clip part and a first receiving element arranged on the second ear clip part, the first pulse wave signal is obtained by transmission through the first detection device, and the human body parameter detection device further comprises: A control module, used for controlling the first light emitting element to emit light to pass through the human body detection part; The signal generating module is further used to generate a first pulse wave signal through the transmitted light received by the first receiving element.

9. A human body parameter detection system for ear clip earphones, characterized in that: The invention comprises a processor, a first ear-clip earphone and a second ear-clip earphone, wherein the first ear-clip earphone is integrated with a first detection device, and the second ear-clip earphone is integrated with a second detection device, the first ear-clip earphone and the second ear-clip earphone are clamped at different detection parts of the human body, the processor is integrated in the first ear-clip earphone or the second ear-clip earphone, and is used to send a detection instruction to the first detection device and the second detection device, obtain a first pulse wave signal in a transmission manner through the first detection device, and obtain a second pulse wave signal in a transmission manner through the second detection device, determine a time difference parameter based on the first pulse wave signal and the second pulse wave signal, and calculate a human body parameter value according to the time difference parameter, or determine a waveform characteristic parameter based on the first pulse wave signal and / or the second pulse wave signal, and calculate a human body parameter value according to the waveform characteristic parameter.

10. A storage medium storing computer executable instructions, wherein the computer executable instructions are used to execute the human body parameter detection method based on ear clip type headphones as described in any one of claims 1 to 6 when executed by a computer processor.

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