Detection assembly, electronic equipment, detection method, detection device and electronic equipment

By designing a detection component including fingerprint recognition, pressure detection and electrocardiogram detection modules, the complex operation of the blood sphygmomanometer in the prior art is solved, and a portable, easy-to-use and highly accurate health detection device is realized.

CN120093321APending Publication Date: 2025-06-06BEIJING XIAOMI MOBILE SOFTWARE CO LTD
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Patent Information

Application Number
CN202311648237.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-12-04
Publication Date
2025-06-06

AI Technical Summary

Technical Problem

In the prior art, medical blood pressure meter is complex and difficult to carry, making it difficult to realize a health detection device that is easy to carry, easy to operate and highly accurate.

Method used

A detection component is designed, including a substrate, a fingerprint recognition module, a pressure detection module and an electrocardiogram detection module. Through these modules, the first detection parameters, the electrocardiogram parameters and the pressure parameters of the object to be tested are obtained, and physiological parameters are then calculated.

Benefits of technology

It realizes the sharing of fingerprint recognition modules, combined with health monitoring functions, improves the operability and ease of use of the equipment, and is suitable for portable physiological detection.

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Abstract

The invention relates to a detection assembly, electronic equipment, a detection method, a detection device and electronic equipment, and the detection assembly comprises a substrate which comprises a detection part facing an object to be detected; the fingerprint identification module is arranged on the first side of the substrate and detects a first detection parameter of the to-be-detected object; the pressure detection module is arranged on the first side of the substrate, the pressure detection module is arranged on the side, away from the substrate, of the fingerprint identification module, and the pressure detection module detects pressure parameters of the detection part; at least one part of the electrocardio detection module is exposed out of the detection part, the electrocardio detection module detects electrocardio parameters of the to-be-detected object, and first physiological parameters of the to-be-detected object are obtained through the first detection parameters and the pressure parameters; acquiring a second physiological parameter of the to-be-detected object through the first detection parameter, the electrocardio parameter and a preset parameter. According to the invention, the fingerprint identification module is matched with other modules, so that sharing of the fingerprint identification module is realized, and a method for measuring various physiological parameters is realized.
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Description

Technical Field

[0001] The present disclosure relates to the technical field of health information monitoring, and in particular to a detection component, an electronic device, a detection method, a detection device and an electronic device. Background Art

[0002] In recent years, with the rapid development of electronic technology, how to monitor the human body's biometric information in real time so that users can understand their own physical condition at any time and prevent diseases has attracted widespread attention. For example, blood pressure, as a biometric information measuring the human cardiovascular system, is of great significance in disease diagnosis, treatment process and prognosis.

[0003] Therefore, providing a health detection device that is easy to carry, easy to operate and has high accuracy has great application prospects and market value. Summary of the invention

[0004] In order to overcome the problems existing in the related art, the present disclosure provides a detection component, an electronic device, a detection method, a detection device and an electronic device.

[0005] According to a first aspect of an embodiment of the present disclosure, a detection component is provided, the detection component comprising: a substrate, the substrate comprising a detection portion facing an object to be detected; a fingerprint recognition module, arranged on a first side of the substrate, detecting a first detection parameter of the object to be detected, the first side being a side of the substrate away from the detection portion; a pressure detection module, arranged on the first side of the substrate, and the pressure detection module is arranged on a side of the fingerprint recognition module away from the substrate, the pressure detection module detecting a pressure parameter of the detection portion; an electrocardiogram detection module, at least a portion of the electrocardiogram detection module being exposed to the detection portion, the electrocardiogram detection module detecting an electrocardiogram parameter of the object to be detected, wherein a first physiological parameter of the object to be detected is obtained through the first detection parameter and the pressure parameter; and a second physiological parameter of the object to be detected is obtained through the first detection parameter, the electrocardiogram parameter and a preset parameter.

[0006] In some embodiments, the detection component includes: a circuit board, which is arranged on a side of the fingerprint recognition module and the electrocardiogram detection module away from the substrate, and the circuit board is electrically connected to the fingerprint recognition module, the pressure detection module and the electrocardiogram detection module; a processing module, which is electrically connected to the fingerprint recognition module, the pressure detection module and the electrocardiogram detection module through the circuit board; wherein the processing module determines the preset parameter through the first detection parameter, the electrocardiogram parameter and the first physiological parameter.

[0007] In some embodiments, the fingerprint recognition module includes: a sensing element, which is arranged on the first side of the substrate, and receives a first sub-signal; a signal element, which is arranged on the first side of the substrate, and transmits a first signal to the object to be tested, and the object to be tested reflects the first signal to generate the first sub-signal, wherein the sensing element includes a side surface intersecting with the plane where the substrate is located, and the signal element is arranged around the side surface of the sensing element; the sensing element generates the first detection parameter through the first sub-signal, and the sensing element outputs the first detection parameter to the processing module.

[0008] In some embodiments, the pressure detection module includes: an elastic member, which is arranged on the first side of the substrate, and is electrically connected to the circuit board. When the object to be measured presses the detection part, the elastic member is deformed; a pressure sensing circuit, which is arranged on the circuit board, and the pressure sensing circuit detects the pressure parameters of the detection part by detecting the deformation of the elastic member.

[0009] In some embodiments, at least a portion of the circuit board is fixed to the surface of the elastic member, and the pressure sensing circuit is disposed on the circuit board, wherein when the elastic member is deformed, the circuit board is caused to deform as well, and the pressure sensing circuit outputs the pressure parameter to the processing module through the deformation amount of the elastic member.

[0010] In some embodiments, the pressure detection module includes: a pressure chip, which is arranged on the first side of the substrate in the thickness direction of the detection component, and the pressure chip is electrically connected to the circuit board; wherein, the pressure chip outputs the pressure parameters to the processing module.

[0011] In some embodiments, the ECG detection module includes: a conductive member, at least a portion of which is disposed on the second side of the substrate, the conductive member is electrically connected to the circuit board, and the conductive member detects the ECG parameters of the object to be measured, wherein the conductive member is electrically connected to the processing module, and the conductive member outputs the ECG parameters to the processing module; the second side of the substrate and the first side of the substrate are opposite sides of the substrate.

[0012] In some embodiments, the conductive member is disposed around the detection portion.

[0013] In some embodiments, the pressure sensing circuit includes: a power supply end; a first pressure sensitive group, the first pressure sensitive group is electrically connected to the power supply end, and the first pressure sensitive group outputs a first voltage to the processing module; a second pressure sensitive group, the second pressure sensitive group is electrically connected to the power supply end, and the second pressure sensitive group outputs a second voltage to the processing module; wherein the processing module obtains the pressure parameters of the detection unit based on the difference between the first voltage and the second voltage.

[0014] In some embodiments, the first pressure-sensitive group includes a first output terminal, which outputs the first voltage; the second pressure-sensitive group includes a second output terminal, which outputs the second voltage; wherein, when the pressure on the first pressure-sensitive group increases, the first voltage decreases, and when the pressure on the second pressure-sensitive group increases, the second voltage increases.

[0015] In some embodiments, the first pressure-sensitive group includes a first resistor and a first varistor; one end of the first varistor is electrically connected to the power supply end, and the other end of the first varistor is electrically connected to the first output end; one end of the first resistor is electrically connected to the first varistor, and the other end of the first resistor is grounded, wherein when the pressure on the first varistor increases, the first voltage decreases.

[0016] In some embodiments, the second pressure-sensitive group includes a second resistor and a second varistor; one end of the second resistor is electrically connected to the power supply end, and the other end of the second resistor is electrically connected to the second output end; one end of the second varistor is electrically connected to the second varistor, and the other end of the second varistor is grounded, wherein when the pressure on the second varistor increases, the second voltage increases.

[0017] In some embodiments, the resistance value of the first resistor, the resistance value of the second resistor, the initial resistance value of the first varistor, and the initial resistance value of the second varistor are equal.

[0018] In some embodiments, the fingerprint recognition module is an ultrasonic fingerprint recognition module or a photoelectric fingerprint recognition module, and / or the first detection parameter includes a pulse fluctuation parameter of the object to be detected and a pressing area parameter of the object to be detected.

[0019] According to a second aspect of an embodiment of the present disclosure, an electronic device is provided, comprising: a detection component as described in any one of the first aspects.

[0020] In some embodiments, the electronic device comprises a housing, wherein the housing comprises an opening, the opening exposes the substrate, and / or at least a portion of the housing is the substrate.

[0021] According to a third aspect of an embodiment of the present disclosure, a detection method is provided, which includes: obtaining first detection parameters and electrocardiogram parameters of a subject to be detected at a first time and pressure parameters of a detection unit, the first detection parameters including pulse parameters of the subject to be detected; outputting physiological parameters at the first time according to the first detection parameters and the pressure parameters; determining preset parameters according to the first detection parameters, the electrocardiogram parameters and the physiological parameters at the first time; obtaining the first detection parameters and the electrocardiogram parameters of the subject to be detected at a second time; and outputting the physiological parameters at the second time according to the first detection parameters, the electrocardiogram parameters and the preset parameters at the second time.

[0022] In some embodiments, the physiological parameters at the first time are output based on the first detection parameter and the pressure parameter, including: the pulse parameters include pulse fluctuation parameters and pulse fluctuation peak values; according to the corresponding relationship between the pulse fluctuation parameters and the pressure parameters at the same time in the detection process, the corresponding curve between the pulse fluctuation parameters and the pressure parameters is confirmed; the target pulse fluctuation parameter is determined according to the product of a preset relationship value and the pulse fluctuation peak value; according to the corresponding curve between the pulse fluctuation parameters and the pressure parameters at the same time, the first pressure parameter corresponding to the target pulse fluctuation parameter is confirmed, and the value of the first pressure parameter is the value of the physiological parameter at the first time.

[0023] In some embodiments, the preset parameters are obtained based on the first detection parameters, the electrocardiogram parameters and the physiological parameters of the first time, including: detecting a pressing operation of the subject to be measured on the detection part; displaying the pressure parameters and preset pressure parameters of the pressing operation, so that the subject to be measured applies a force to the detection part according to the preset pressure parameters.

[0024] In some embodiments, the step of obtaining the first detection parameter and the electrocardiogram parameter of the subject to be detected and the pressure parameter of the detection unit includes: the detection unit accepting the pressure within a preset pressure range applied by the subject to be detected; and obtaining the pressure parameter of the detection unit.

[0025] According to a fourth aspect of an embodiment of the present disclosure, a detection device is provided, characterized in that it includes: a detection unit, used to obtain a first detection parameter and an electrocardiogram parameter of a subject to be detected at a first time and a pressure parameter of a detection unit, wherein the first detection parameter includes a pulse parameter of the subject to be detected, and obtain the first detection parameter and the electrocardiogram parameter of the subject to be detected at a second time; a processing unit, used to output a physiological parameter at a first time according to the first detection parameter and the pressure parameter, determine a preset parameter according to the first detection parameter, the electrocardiogram parameter and the physiological parameter at the first time, and output the physiological parameter at the second time according to the first detection parameter, the electrocardiogram parameter and the preset parameter at the second time.

[0026] According to a fifth aspect of an embodiment of the present disclosure, an electronic device is provided, comprising: a processor; a memory for storing instructions executable by the processor; wherein the processor is configured to: execute the detection method described in any one of the third aspects.

[0027] The technical solution provided by the embodiments of the present disclosure may include the following beneficial effects: the present disclosure realizes the sharing of the fingerprint recognition module by respectively coordinating the fingerprint recognition module with the pressure detection module and the electrocardiogram detection module, realizes the composite design of the fingerprint recognition and health monitoring functions, and realizes a variety of detection methods for physiological parameters to facilitate the subsequent detection method calibration or data calibration function, thereby improving the operability and ease of use of the device.

[0028] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0030] Figure 1 It is a schematic structural diagram of a detection component according to an exemplary embodiment.

[0031] Figure 2 is a schematic structural diagram of a detection component according to another exemplary embodiment.

[0032] Figure 3 is a schematic structural diagram of a pressure sensing circuit according to an exemplary embodiment.

[0033] Figure 4 The figure is a schematic diagram showing the structure of an electronic device according to an exemplary embodiment.

[0034] Figure 5It is a flowchart of a detection method according to an implementation example.

[0035] Figure 6 It is a flowchart of a detection method according to an implementation example.

[0036] Figure 7 It is a flowchart of a detection method according to an exemplary embodiment.

[0037] Figure 8 It is a block diagram of a detection device according to an exemplary embodiment.

[0038] Fig. 9 It is a block diagram of a device for detecting physiological parameters according to an exemplary embodiment.

[0039] Fig.10 It is a block diagram of an electronic device for detecting physiological parameters according to an exemplary embodiment. DETAILED DESCRIPTION

[0040] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0041] In the related art, in some medical scenarios, although the cuff-type blood pressure monitor based on the auscultation method or the oscillometric method can measure blood pressure more accurately, the operation of the device is relatively complicated and not easy to carry.

[0042] In order to solve the above technical problems, according to an embodiment of the present disclosure, a detection component is provided, which includes: a substrate, the substrate including a detection part facing an object to be detected; a fingerprint recognition module, which is arranged on a first side of the substrate, and detects a first detection parameter of the object to be detected, and the first side is a side of the substrate away from the detection part; a pressure detection module, which is arranged on the first side of the substrate, and the pressure detection module is arranged on a side of the fingerprint recognition module away from the substrate, and the pressure detection module detects the pressure parameter of the detection part; an electrocardiogram detection module, at least a part of the electrocardiogram detection module is exposed to the detection part, and the electrocardiogram detection module detects the electrocardiogram parameter of the object to be detected, wherein a first physiological parameter of the object to be detected is obtained through the first detection parameter and the pressure parameter; and a second physiological parameter of the object to be detected is obtained through the first detection parameter, the electrocardiogram parameter and a preset parameter.

[0043] The present invention realizes the sharing of the fingerprint recognition module by coordinating the fingerprint recognition module with the pressure detection module and the electrocardiogram detection module respectively, realizes the composite design of fingerprint recognition and health monitoring functions, and realizes multiple detection methods for physiological parameters to facilitate the subsequent detection method calibration or data calibration function, thereby improving the operability and ease of use of the device.

[0044] It can be understood that the detection component involved in the present disclosure can be applicable to any terminal listed below.

[0045] It is understandable that the terminal involved in the present disclosure may also be referred to as a terminal device, a user equipment (User Equipment, UE), a mobile station (Mobile Station, MS), a mobile terminal (Mobile Terminal, MT), etc., which is a device that provides voice and / or data connectivity to users. For example, the terminal may be a handheld device with a wireless connection function, a vehicle-mounted device, etc. At present, some examples of terminals are: a smart phone (Mobile Phone), a pocket computer (Pocket Personal Computer, PPC), a handheld computer, a personal digital assistant (Personal Digital Assistant, PDA), a laptop computer, a tablet computer, a wearable device, or a vehicle-mounted device, etc. In addition, when it is a vehicle-to-everything (V2X) communication system, the terminal device may also be a vehicle-mounted device. It should be understood that the embodiments of the present disclosure do not limit the specific technology and specific device form adopted by the terminal.

[0046] Figure 1 It is a schematic structural diagram of a detection component according to an exemplary embodiment. Figure 2 is a schematic structural diagram of a detection component according to another exemplary embodiment.

[0047] In some embodiments, Figure 1 and Figure 2 As shown, the detection component 100 includes: a substrate 1, a fingerprint recognition module, a pressure detection module, and an electrocardiogram detection module.

[0048] The substrate 1 may be a surface that the object to be tested contacts when the detection assembly 100 performs detection. The substrate 1 may include a detection portion 10 facing the object to be tested and directly contacting the skin of the object to be tested. The substrate may include a first side, which may be a side of the substrate facing away from the detection portion.

[0049] The fingerprint recognition module may be disposed on the first side of the substrate 1 , and the fingerprint recognition module may be used to obtain fingerprint information of the object to be detected, and the fingerprint recognition module may also be used to detect a first detection parameter of the object to be detected.

[0050] The pressure detection module can be arranged on the first side of the substrate 1, and the pressure detection module is arranged on the side of the fingerprint recognition module away from the substrate 1. The pressure detection module can detect the pressure parameters exerted on the detection part 10. Exemplarily, the pressure detection module can obtain the pressure parameters exerted on the detection part 10 by detecting the deformation of the detection part 10 or the pressure detection module itself.

[0051] At least a portion of the ECG detection module may be exposed to the detection portion, and the ECG detection module may detect ECG parameters of the subject to be detected.

[0052] A first physiological parameter of the object to be measured can be obtained through the first detection parameter and the pressure parameter, and a second physiological parameter of the object to be measured can be obtained through the first detection parameter, the electrocardiogram parameter and the preset parameter.

[0053] The first physiological parameter and the second physiological parameter may be any other physiological parameters used for health monitoring of the object to be measured.

[0054] The first physiological parameter and the second physiological parameter may also be the same physiological parameter measured using different methods and parameters.

[0055] For example, the first physiological parameter may be the blood pressure of the subject to be measured, the second physiological parameter may also be the blood pressure of the subject to be measured, and the electrocardiogram parameter may be the electrocardiogram data of the subject to be measured.

[0056] For example, due to the periodic pumping of blood by the heart, the pressure pulse wave is transmitted in the arterial vascular system, and the pressure pulsation causes the hemoglobin volume rate in the blood vessels to change. The fingerprint recognition module can extract the photoplethysmography (PPG) signal of the object to be tested through the transmitted or reflected light. Based on the photoplethysmography signal, the blood pressure of the object to be tested can be calculated through the pulse wave transmission time square algorithm.

[0057] The heart rate parameters of the subject to be tested can be obtained through the ECG detection module. The pulse wave fluctuation parameters of the distal limbs of the subject to be tested can be compared with the heart rate parameters to obtain the pulse conduction time. Since the pulse conduction time is significantly correlated with the change of blood pressure and is inversely proportional to the change of blood pressure, the blood pressure of the subject to be tested can be calculated based on the pulse wave conduction time method. The calculation formula is as follows:

[0058] Blood pressure = A / pulse transit time + B

[0059] Among them, A and B are constants, for example, A and B can be preset parameters.

[0060] The present invention realizes the sharing of the fingerprint recognition module by coordinating the fingerprint recognition module with the pressure detection module and the electrocardiogram detection module respectively, realizes the composite design of fingerprint recognition and health monitoring functions, and realizes multiple detection methods for physiological parameters to facilitate the subsequent detection method calibration or data calibration function, thereby improving the operability and ease of use of the device.

[0061] In some embodiments, the fingerprint recognition module may be a photoelectric fingerprint recognition module or an ultrasonic fingerprint recognition module.

[0062] The first detection parameter may include a pulse fluctuation parameter of the subject to be detected and a pressing area parameter of the subject to be detected. Exemplarily, the pulse fluctuation parameter may be a fluctuation value of the skin surface of the subject to be detected caused by the pulse.

[0063] When the subject is undergoing blood pressure monitoring, the subject can press the detection component 100 according to the recommended pressure, thereby obtaining a pressure change curve that first increases and then decreases.

[0064] Exemplarily, when the fingerprint recognition module is an ultrasonic fingerprint recognition module, the ultrasonic fingerprint recognition module can use an ultrasonic transducer to transmit an ultrasonic pulse signal, and then receive the reflected ultrasonic pulse, and calculate the position of the reflection interface according to the time delay of the received pulse signal to realize the ranging function. The skin surface of the object to be measured can be displaced due to the pulse of the object to be measured, and the data parameters of the pulse fluctuation can be obtained by detecting the displacement data of the skin surface of the object to be measured. Therefore, the fingerprint recognition module is attached to the skin surface of the object to be measured, and ultrasonic pulses are continuously emitted to the object to be measured, and the reflected echo signal is received, so that the displacement data of the skin surface of the object to be measured due to the pulse can be obtained, and the pulse fluctuation parameters can be obtained by the displacement data.

[0065] Exemplarily, when the fingerprint recognition module is a photoelectric fingerprint recognition module, the photoelectric fingerprint recognition module is based on the measurement principle of the photoelectric effect. The skin tissue is illuminated by an infrared light source, and the light reflected by the illuminated tissue is received by the photoelectric sensor of the photoelectric fingerprint recognition module and converted into an electrical signal. When the heart beats, the blood flow causes the volume of the skin blood vessels to change, thereby causing the reflected light intensity of the illuminated tissue to change. By detecting the data of the reflected light intensity, the data parameters of the pulse fluctuation can be obtained. The photoelectric fingerprint recognition module can convert the received light signal into an electrical signal, and obtain the pulse fluctuation parameters after amplifying and filtering the electrical signal.

[0066] The pressure detection module can record the pressure parameters in real time. The detection component 100 can calculate the pressing pressure parameters according to the pressing area parameters and the pressure parameters, and then combine the fluctuation value, the pressing pressure parameters and the relative coefficient to obtain the blood pressure parameters of the object to be tested.

[0067] Exemplarily, Um may be the fluctuation peak value obtained by the fingerprint recognition module, Pm may be the pressure parameter corresponding to Um, and Pm may be recorded as the average blood pressure.

[0068] The systolic pressure Ps may be equal to the pressure parameter corresponding to the first fluctuation value Us obtained by multiplying the fluctuation peak value Um by the first relative coefficient Ks. The first relative coefficient may be obtained by comparing and calibrating with other blood pressure measurement methods. For example, the first relative coefficient Ks may be 0.5.

[0069] The diastolic pressure Pd may be equal to the pressure parameter corresponding to the second fluctuation value Ud obtained by multiplying the fluctuation peak value Um by the second relative coefficient Kd. The second relative coefficient may be obtained by comparing and calibrating with other blood pressure measurement methods. For example, the second relative coefficient Ks may be 0.8.

[0070] In some embodiments, the detection component 100 may include: a circuit board 33, which may be arranged on a side of the fingerprint recognition module and the electrocardiogram detection module away from the substrate 1, and the circuit board 33 may be electrically connected to the fingerprint recognition module, the pressure detection module and the electrocardiogram detection module.

[0071] The processing module can be connected to the fingerprint recognition module, the pressure detection module and the electrocardiogram detection module through the circuit board 33, and then receive the first detection parameter from the fingerprint recognition module, the pressure parameter from the pressure detection module and the electrocardiogram parameter from the electrocardiogram detection module.

[0072] The processing module can obtain an intermediate constant through the first detection parameter, the ECG parameter and the first physiological parameter, and configure the intermediate constant as a preset parameter, thereby realizing calibration of the method of obtaining physiological parameters through the first detection parameter, the ECG parameter and the preset parameter.

[0073] For example, the pulse fluctuation parameters of the distal limbs of the subject to be tested can be obtained through the fingerprint recognition module, and the heart rate parameters of the subject to be tested can be obtained through the electrocardiogram detection module. The pulse fluctuation parameters of the distal limbs of the subject to be tested are compared with the heart rate parameters to obtain the pulse conduction time. Since the pulse conduction time is inversely proportional to the change in blood pressure, the blood pressure of the subject to be tested can be calculated based on the pulse conduction time method. The calculation formula is as follows:

[0074] Blood pressure = A / pulse transit time + B

[0075] Among them, A and B are constants, and since the values ​​of A and B are related to the user's physique, the blood pressure of the object to be measured can be obtained by combining the pulse fluctuation parameters and the pressure parameters, and then combined with the known blood pressure results and the known corresponding first detection parameters and electrocardiogram parameters, the intermediate constants can be fitted, that is, the values ​​of A and B in the subsequent measurement process.

[0076] Since the method of obtaining blood pressure through pulse fluctuation parameters and pressure parameters requires continuous pressing of the detection unit 10, while the method of obtaining blood pressure through pulse fluctuation parameters and electrocardiogram parameters does not require continuous pressing, the latter operation is simpler and easier for users to operate.

[0077] In some embodiments, Figure 1 and Figure 2 As shown, the fingerprint recognition module may include: a signal element 21 and a sensing element 22. The signal element 21 may be an optical signal element or an ultrasonic signal element 21.

[0078] The signal element 21 may be disposed on the first side of the substrate 1, and the signal element 21 may transmit a first signal to the object to be measured, and the object to be measured may reflect the first signal to generate a first sub-signal;

[0079] The sensing element 22 may be disposed on the first side of the substrate 1 , and the sensing element 22 may receive the first sub-signal.

[0080] The sensing element 22 may include a side surface intersecting with the plane where the substrate 1 is located, and the signal element 21 is disposed around the side surface of the sensing element 22 .

[0081] When the fingerprint recognition module is an ultrasonic fingerprint recognition module, the signal element 21 can emit an ultrasonic pulse signal, and the induction element 22 receives the reflected ultrasonic pulse, and calculates the position of the reflection interface according to the time delay of the received pulse signal to achieve the distance measurement function. The detection unit 10 is attached to the skin surface of the object to be measured, and ultrasonic pulses are continuously emitted to the object to be measured, and the reflected echo signal is received, so that the pulse fluctuation parameters generated by the pulse on the skin surface of the object to be measured can be obtained.

[0082] When the fingerprint recognition module is a photoelectric fingerprint recognition module, the signal element 21 can illuminate the skin tissue through an infrared light source based on the measurement principle of the photoelectric effect, and the light reflected by the illuminated tissue is received by the sensor element 22 and converted into an electrical signal. When the heart beats, the blood flow causes the volume of the skin blood vessels to change, thereby causing the reflected light intensity of the illuminated tissue to change. The sensor element 22 converts the received light signal into an electrical signal, and after amplification and filtering, obtains the pulse fluctuation parameter.

[0083] The sensing element 22 can generate a first detection parameter through the first sub-signal, and the sensing element 22 can output the first detection parameter to the processing module, so that the processing module can perform calculations based on the first detection parameter. The first detection parameter can include a pulse fluctuation parameter of the subject to be measured and a pressing area parameter of the subject to be measured. For example, the pulse fluctuation parameter can be a fluctuation value of the skin surface of the subject to be measured caused by the pulse.

[0084] In some embodiments, when the fingerprint detection module is a photoelectric fingerprint detection module, the detection unit 10 may be a transparent member so that the optical signal can pass through the detection unit 10 and the detection component 100 can work normally.

[0085] In some embodiments, the fingerprint recognition module can detect other physiological parameters such as blood oxygen and heart rate.

[0086] In some embodiments, Figure 1 and Figure 2 As shown, the pressure detection module may include: a pressure sensing element, which is disposed on the first side of the substrate 1 and is electrically connected to the processing module.

[0087] The pressure sensing element can detect the pressure parameter of the detection part 10 . For example, the pressure sensing element can obtain the pressure parameter of the detection part 10 by detecting the deformation of the detection part 10 or the pressure sensing element itself.

[0088] In some embodiments, Figure 1 As shown, the pressure sensing element may include: an elastic member 32 and a pressure sensing circuit 31 .

[0089] The elastic member 32 can be arranged on the first side of the substrate 1. When the object to be tested presses the detection part 10, the elastic member 32 can be deformed. The pressure sensing circuit 31 detects the deformation of the elastic member 32 and outputs the deformation of the elastic member 32 as a pressure parameter to the processing module, thereby completing the detection of the pressure parameter.

[0090] In some embodiments, Figure 1 As shown, at least a portion of the circuit board 33 can be fixed to the surface of the elastic member 32. When the elastic member 32 is deformed, the elastic member 32 can drive the circuit board 33 to be deformed.

[0091] The pressure sensing circuit 31 is disposed on the circuit board 33 , so that when the elastic member 32 is deformed, the circuit board 33 is deformed as well. The pressure sensing circuit 31 outputs pressure parameters to the processing module through the deformation of the elastic member 32 , thereby completing the detection of the pressure parameters.

[0092] For example, in some embodiments, the circuit board 33 may be a flexible circuit board.

[0093] In some embodiments, Figure 2 As shown, the pressure sensing element may include: a pressure chip 34. The pressure chip 34 is a chip that combines a micro-mechanical structure with an electronic component, and the pressure chip 34 may be electrically connected to the circuit board 33. It uses micro-nano manufacturing technology to manufacture tiny mechanical components on the chip surface and interconnect with circuit components, thereby achieving pressure measurement through the cooperation between the satellite mechanical structure and the circuit components.

[0094] The pressure chip 34 is disposed on the first side of the substrate 1 in the thickness direction of the detection component 100 . The pressure chip 34 outputs pressure parameters to the processing module, thereby completing the detection of the pressure parameters.

[0095] For example, the pressure chip 34 may be a MEMS (Micro-Electro-Mechanical Systems) pressure chip.

[0096] In some embodiments, Figure 1 and Figure 2 As shown, the ECG detection module may include: a conductive member 41, at least a portion of which may be disposed on the second side of the substrate 1, and the conductive member 41 may be electrically connected to the circuit board 33, wherein the second side of the substrate 1 and the first side of the substrate 1 are opposite sides of the substrate 1, so that the conductive member 41 may be in direct contact with the skin surface of the object to be detected.

[0097] The conductive member 41 may be a conductive component, and by directly contacting the skin of the subject to be tested, the conductive member 41 may detect the ECG parameters of the subject to be tested. The conductive member 41 may be electrically connected to the processing module, and the conductive member 41 may output the ECG parameters to the processing module, so that the processing module may perform calculations based on the ECG parameters.

[0098] In some embodiments, Figure 1 and Figure 2 As shown, the conductive member 41 is disposed around the detection part 10. By disposing the conductive member 41 around the detection part 10, the contact area between the user and the detection part 10 can be fixed to the area surrounded by the conductive member 41, thereby eliminating the detection step of detecting the contact area between the object to be detected and the contact part, reducing the detection steps of the detection component 100, and simplifying the detection process of the detection component 100.

[0099] Figure 3 is a schematic structural diagram of a pressure sensing circuit according to an exemplary embodiment.

[0100] In some embodiments, Figure 3 As shown, the pressure sensing circuit 31 may include: a power supply terminal Vcc, a first pressure sensitive group 51 and a second pressure sensitive group 61. The power supply terminal Vcc is used to supply power to the first pressure sensitive group 51 and the second pressure sensitive group 61.

[0101] The first pressure-sensitive group 51 can be electrically connected to the power supply terminal Vcc, and the first pressure-sensitive group 51 can output a first voltage. When the first pressure-sensitive group 51 is subjected to pressure, the resistance of the first pressure-sensitive group 51 changes, and the first voltage output by the first pressure-sensitive group 51 also changes accordingly.

[0102] The second pressure-sensitive group 61 can be electrically connected to the power supply terminal Vcc, and the second pressure-sensitive group 61 can output a second voltage. When the second pressure-sensitive group 61 is subjected to pressure, the resistance of the second pressure-sensitive group 61 changes, and the second voltage output by the second pressure-sensitive group 61 also changes accordingly.

[0103] Among them, the processing module can obtain the pressure parameter of the detection part 10 according to the difference between the first voltage and the second voltage. Exemplarily, as the pressure on the detection part 10 increases, the difference between the first voltage and the second voltage can increase. By calculating the difference between the first voltage and the second voltage, the influence of the initial resistance value of the first pressure-sensitive group 51 and the initial resistance value of the second pressure-sensitive group 61 due to time or external force factors can be reduced during the difference calculation process, thereby improving the accuracy of the pressure detection module in obtaining the pressure parameters, and thereby improving the detection accuracy of the detection component 100.

[0104] In some embodiments, Figure 3 As shown, the first voltage-sensitive group 51 may include a first output terminal V1 , and the first output terminal V1 may output a first voltage.

[0105] The second voltage-sensitive group 61 may include a second output terminal V2 , and the second output terminal V2 may output a second voltage.

[0106] When the pressure on the first pressure-sensitive group 51 increases, the first voltage decreases, and when the pressure on the second pressure-sensitive group 61 increases, the second voltage increases. By making the change trend of the first voltage opposite to the change trend of the pressure on the first pressure-sensitive group 51 and making the change trend of the first voltage the same as the change trend of the pressure on the first pressure-sensitive group 51, the difference between the first voltage and the second voltage can be increased as the pressure on the detection unit 10 increases, and then the pressure parameter on the detection unit 10 can be obtained according to the difference between the first voltage and the second voltage.

[0107] The present disclosure is not limited thereto, and the first pressure-sensitive group 51 and the second pressure-sensitive group 61 may also be configured such that when the pressure on the first pressure-sensitive group 51 increases, the first voltage increases, and when the pressure on the second pressure-sensitive group 61 increases, the second voltage decreases.

[0108] In some embodiments, Figure 3 As shown, the first pressure-sensitive group 51 may include a first resistor 52 and a first varistor 53. The first resistor 52 is a fixed-value resistor, and the resistance value of the first varistor 53 changes according to the pressure to which the first varistor 53 is subjected. For example, the resistance value of the first varistor 53 increases as the pressure to which the first varistor 53 is subjected increases.

[0109] One end of the first varistor 53 can be electrically connected to the power supply terminal Vcc, the other end of the first varistor 53 can be electrically connected to the first output terminal V1, one end of the first resistor 52 can be electrically connected to the first varistor 53, and the other end of the first resistor 52 can be grounded. This can make the first voltage output by the first output terminal V1 decrease when the pressure on the first varistor 53 increases.

[0110] In some embodiments, Figure 3 As shown, the second varistor group 61 may include a second resistor 62 and a second varistor 63. The second resistor 62 is a fixed resistor, and the resistance value of the second varistor 63 changes according to the pressure applied to the second varistor 63. For example, the resistance value of the second varistor 63 increases as the pressure applied to the second varistor 63 increases.

[0111] One end of the second resistor 62 can be electrically connected to the power supply terminal Vcc, the other end of the second resistor 62 can be electrically connected to the second output terminal V2, one end of the second varistor 63 can be electrically connected to the second varistor 63, and the other end of the second varistor 63 can be grounded. This can make the second voltage output by the second output terminal V2 increase when the pressure on the second varistor 63 increases.

[0112] By making the changing trend of the first voltage opposite to the changing trend of the pressure applied to the first pressure-sensitive group 51, and making the changing trend of the first voltage the same as the changing trend of the pressure applied to the first pressure-sensitive group 51, the difference between the first voltage and the second voltage can be increased as the pressure applied to the detection part 10 increases, and then the pressure parameters applied to the detection part 10 can be obtained based on the difference between the first voltage and the second voltage.

[0113] In some embodiments, the resistance value of the first resistor 52 , the resistance value of the second resistor 62 , the initial resistance value of the first varistor 53 , and the initial resistance value of the second varistor 63 are equal.

[0114] The initial resistance value of the first piezoresistors 53 is the resistance value of the first piezoresistors 53 when the first piezoresistors 51 are not subjected to the pressure of the object to be measured.

[0115] The initial resistance value of the second piezoresistors 63 is the resistance value of the second piezoresistors 63 when the second pressure-sensitive group 61 is not subjected to pressure from the object to be measured.

[0116] By making the resistance value of the first resistor 52, the resistance value of the second resistor 62, the initial resistance value of the first varistor 53 and the initial resistance value of the second varistor 63 equal, the first voltage and the second voltage can be equal when the detection component 100 is not performing detection, and the first voltage and the second voltage are both half of the voltage of the power supply terminal Vcc, thereby reducing the process of measuring and calibrating the initial values ​​of the first voltage and the second voltage. In the difference calculation, the difference can be made to start with 0 to facilitate subsequent calculations by the processor.

[0117] Based on the same concept, an embodiment of the present disclosure also provides an electronic device.

[0118] The electronic device may be a laptop computer, a desktop computer, a mobile phone, a digital broadcast terminal, a message transceiver device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, a translation machine, and a wearable device such as a watch or a bracelet, and may be any electronic device having the detection component 100. In the following description, a mobile phone is taken as an example, but the present disclosure is not limited thereto.

[0119] Figure 4 The figure is a schematic diagram showing the structure of an electronic device according to an exemplary embodiment.

[0120] In some embodiments, Figure 4 As shown, the electronic device may include a detection component 100. By setting the detection component 100 on the electronic device, the functionality of the electronic device is expanded, and portable physiological detection based on the electronic device is realized, which helps to conveniently detect the physiological parameters of the object to be detected and improves the user experience.

[0121] In some embodiments, Figure 4 As shown, the electronic device may include a housing, and the housing may be provided with an opening, and the opening may expose the substrate 1, so that a user may directly contact the substrate 1 and complete the physiological parameter detection.

[0122] In some embodiments, at least a portion of the shell may be a substrate 1. Exemplarily, a shell portion of the shell may be a substrate 1. Using a portion of the shell as the substrate 1 may reduce production steps for the detection component 100 and the shell, thereby reducing production costs.

[0123] In some embodiments, the housing may be a rear case of an electronic device, and the detection component 100 may fit the rear case of the electronic device, thereby preventing the detection component 100 from occupying the setting space of the screen and ensuring the integrity of the screen.

[0124] Based on the same concept, the embodiment of the present disclosure also provides a detection method for detecting physiological parameters of a subject to be detected.

[0125] Figure 5 is a flow chart of a detection method according to an exemplary embodiment. Figure 5 As shown, the detection method may include:

[0126] S10: Acquire a first detection parameter and an electrocardiogram parameter of the subject to be detected at a first time and a pressure parameter of the detection unit, wherein the first detection parameter includes a pulse parameter of the subject to be detected;

[0127] S20: Outputting a physiological parameter at a first time according to the first detection parameter and the pressure parameter;

[0128] S30: Acquire preset parameters according to the first detection parameter, the electrocardiogram parameter and the physiological parameter at the first time;

[0129] S40: Acquire the first detection parameter and the electrocardiogram parameter of the object to be detected at the second time;

[0130] S50: Outputting the physiological parameters at the second time according to the first detection parameters at the second time, the electrocardiogram parameters and the preset parameters.

[0131] The first detection parameter may include a pulse parameter of the subject to be detected. For example, the first detection parameter may include a pulse fluctuation parameter and a compression area parameter. The physiological parameter may be a blood pressure parameter of the subject to be detected.

[0132] When the detection component 100 is in the first time, the pulse fluctuation parameters of the distal limbs of the object to be detected can be obtained through the fingerprint recognition module, the heart rate parameters of the object to be detected can be obtained through the electrocardiogram detection module, and the pressure parameters of the detection part 10 can be obtained through the pressure detection module.

[0133] According to the parameter results obtained in the first time, the detection component 100 can perform the first blood pressure detection method.

[0134] When the subject is undergoing blood pressure monitoring, the subject can press the detection component 100 according to the recommended pressure, thereby obtaining a pressure change curve that first increases and then decreases.

[0135] When the fingerprint recognition module is an ultrasonic fingerprint recognition module, the ultrasonic fingerprint recognition module can use an ultrasonic transducer to emit an ultrasonic pulse signal, then receive the reflected ultrasonic pulse, calculate the position of the reflection interface according to the time delay of the received pulse signal, and realize the ranging function. The fingerprint recognition module is attached to the skin surface of the object to be measured, and ultrasonic pulses are continuously emitted to the object to be measured, and the reflected echo signal is received, so that the pulse fluctuation parameters generated by the pulse on the skin surface of the object to be measured can be obtained.

[0136] When the fingerprint recognition module is a photoelectric fingerprint recognition module, the photoelectric fingerprint recognition module is based on the measurement principle of the photoelectric effect. The infrared light source is used to illuminate the skin tissue, and the light reflected by the illuminated tissue is received by the photoelectric sensor and converted into an electrical signal. When the heart beats, the blood flow causes the volume of the skin blood vessels to change, thereby causing the reflected light intensity of the illuminated tissue to change. The photoelectric fingerprint recognition module converts the received light signal into an electrical signal, and after amplification and filtering, the pulse fluctuation parameter is obtained.

[0137] The pressure detection module can record the pressure parameters in real time. The detection component 100 can calculate the pressing pressure parameters according to the pressing area parameters and the pressure parameters, and then combine the fluctuation value, the pressing pressure parameters and the relative coefficient to obtain the blood pressure parameters of the object to be tested at the first time.

[0138] For example, Um may be the pulse fluctuation peak value obtained by the fingerprint recognition module, Pm may be the pressure parameter corresponding to Um, and Pm may be recorded as the average blood pressure.

[0139] The systolic pressure Ps may be equal to the pressure parameter corresponding to the first fluctuation value Us obtained by multiplying the fluctuation peak value Um by the first relative coefficient Ks. The first relative coefficient may be obtained by comparing and calibrating with other blood pressure measurement methods. For example, the first relative coefficient Ks may be 0.5.

[0140] The diastolic pressure Pd may be equal to the pressure parameter corresponding to the second fluctuation value Ud obtained by multiplying the fluctuation peak value Um by the second relative coefficient Kd. The second relative coefficient may be obtained by comparing and calibrating with other blood pressure measurement methods. For example, the second relative coefficient Ks may be 0.8.

[0141] The blood pressure parameter result at the first time obtained by the first blood pressure detection method is used as a reference result to calibrate the second blood pressure detection method.

[0142] The pulse wave parameters at the distal end of the subject's limbs are compared with the heart rate parameters to obtain the pulse conduction time. Since the pulse conduction time is inversely proportional to the change in blood pressure, the blood pressure of the subject can be calculated based on the pulse wave conduction time method. The calculation formula is as follows:

[0143] Blood pressure = A / pulse transit time + B

[0144] Among them, A and B are constants.

[0145] Among them, A and B are constants, and because the values ​​of A and B are related to the physical constitution of the object to be tested, the benchmark results can be substituted into the above calculation formula, and then the intermediate constants can be obtained by data fitting, and the values ​​of the intermediate constants can be configured as the values ​​of A and B.

[0146] During the blood pressure parameter detection process at the second time, that is, during the blood pressure parameter detection process after calibration is completed, the intermediate constant can be configured as a preset parameter, and the object to be measured can use the second blood pressure detection method calibrated according to the physique of the object to be measured, thereby realizing self-calibration of the detection component 100 for the second blood pressure detection method.

[0147] Since the method of obtaining blood pressure through pulse fluctuation parameters and pressure parameters requires continuous pressing of the detection part 10, while the method of obtaining blood pressure through pulse fluctuation parameters and electrocardiogram parameters does not require continuous pressing, the operation of the second blood pressure detection method is simpler and easier for users to operate.

[0148] Figure 6 It is a flowchart of a detection method according to an exemplary embodiment.

[0149] In some embodiments, Figure 6 As shown, the detection method may include:

[0150] S10: Acquire a first detection parameter and an electrocardiogram parameter of the subject to be detected at a first time and a pressure parameter of the detection unit, wherein the first detection parameter includes a pulse parameter of the subject to be detected;

[0151] S21: The pulse parameter may include a pulse fluctuation parameter and a pulse fluctuation peak value;

[0152] S22: according to the corresponding relationship between the pulse fluctuation parameter and the pressure parameter at the same time during the detection process, confirming the corresponding curve between the pulse fluctuation parameter and the pressure parameter;

[0153] S23: determining a target pulse fluctuation parameter according to the product of the preset relationship value and the pulse fluctuation peak value;

[0154] S24: confirming a first pressure parameter corresponding to the target pulse fluctuation parameter according to a corresponding curve of the pulse fluctuation parameter and the pressure parameter at the same time, wherein the value of the first pressure parameter is the value of the physiological parameter at the first time;

[0155] S30: Acquire preset parameters according to the first detection parameters at the first time, the electrocardiogram parameters, and the physiological parameters at the first time;

[0156] S40: Acquire the first detection parameter and the electrocardiogram parameter of the object to be detected at the second time;

[0157] S50: Outputting the physiological parameters at the second time according to the first detection parameters at the second time, the electrocardiogram parameters and the preset parameters.

[0158] Exemplarily, the first detection parameter may further include a pressing area parameter. The physiological parameter may be a blood pressure parameter of the subject to be detected.

[0159] When the detection component 100 is in the first time, the pulse fluctuation parameters of the distal limbs of the object to be detected can be obtained through the fingerprint recognition module, the heart rate parameters of the object to be detected can be obtained through the electrocardiogram detection module, and the pressure parameters of the detection part 10 can be obtained through the pressure detection module.

[0160] According to the parameter results obtained in the first time, the detection component 100 can perform the first blood pressure detection method.

[0161] When the subject is undergoing blood pressure monitoring, the subject can press the detection component 100 according to the recommended pressure, thereby obtaining a pressure change curve that first increases and then decreases.

[0162] When the fingerprint recognition module is an ultrasonic fingerprint recognition module, the ultrasonic fingerprint recognition module can use an ultrasonic transducer to emit an ultrasonic pulse signal, then receive the reflected ultrasonic pulse, calculate the position of the reflection interface according to the time delay of the received pulse signal, and realize the ranging function. The fingerprint recognition module is attached to the skin surface of the object to be measured, and ultrasonic pulses are continuously emitted to the object to be measured, and the reflected echo signal is received, so that the pulse fluctuation parameters generated by the pulse on the skin surface of the object to be measured can be obtained.

[0163] When the fingerprint recognition module is a photoelectric fingerprint recognition module, the photoelectric fingerprint recognition module is based on the measurement principle of the photoelectric effect. The infrared light source is used to illuminate the skin tissue, and the light reflected by the illuminated tissue is received by the photoelectric sensor and converted into an electrical signal. When the heart beats, the blood flow causes the volume of the skin blood vessels to change, thereby causing the reflected light intensity of the illuminated tissue to change. The photoelectric fingerprint recognition module converts the received light signal into an electrical signal, and after amplification and filtering, the pulse fluctuation parameter is obtained.

[0164] The pressure detection module can record the pressure parameters in real time. The detection component 100 can calculate the pressing pressure parameters according to the pressing area parameters and the pressure parameters, and then combine the fluctuation value, the pressing pressure parameters and the relative coefficient to obtain the blood pressure parameters of the object to be tested at the first time.

[0165] For example, Um can be the pulse fluctuation peak value obtained by the fingerprint recognition module, Pm can be the pressure parameter corresponding to Um, and Pm can be recorded as the average blood pressure. The preset relationship value can include a first relative coefficient Ks and a second relative coefficient Kd. The first relative coefficient Ks and the second relative coefficient Kd can be obtained by comparing and calibrating with other blood pressure measurement methods. For example, the first relative coefficient Ks can be 0.5, and the second relative coefficient Ks can be 0.8

[0166] According to the corresponding curves of the pulse fluctuation parameter and the pressure parameter at the same time, the first pressure parameter corresponding to the target pulse fluctuation parameter is confirmed, wherein the value of the first pressure parameter is the value of the physiological parameter at the first time. For example, the first pressure parameter may include systolic pressure Ps and diastolic pressure Pd.

[0167] The systolic pressure Ps may be equal to the pressure parameter corresponding to the first fluctuation value Us obtained by multiplying the fluctuation peak value Um by the first relative coefficient Ks.

[0168] The diastolic pressure Pd may be equal to the pressure parameter corresponding to the second fluctuation value Ud obtained by multiplying the fluctuation peak value Um by the second relative coefficient Kd.

[0169] The blood pressure parameter result at the first time obtained by the first blood pressure detection method is used as a reference result to calibrate the second blood pressure detection method.

[0170] The pulse wave parameters at the distal end of the subject's limbs are compared with the heart rate parameters to obtain the pulse conduction time. Since the pulse conduction time is inversely proportional to the change in blood pressure, the blood pressure of the subject can be calculated based on the pulse wave conduction time method. The calculation formula is as follows:

[0171] Blood pressure = A / pulse transit time + B

[0172] Among them, A and B are constants.

[0173] Among them, A and B are constants, and because the values ​​of A and B are related to the physical constitution of the object to be tested, the benchmark results can be substituted into the above calculation formula, and then the intermediate constants can be obtained by data fitting, and the values ​​of the intermediate constants can be configured as the values ​​of A and B.

[0174] During the blood pressure parameter detection process at the second time, that is, during the blood pressure parameter detection process after calibration is completed, the intermediate constant can be configured as a preset parameter, and the object to be measured can use the second blood pressure detection method calibrated according to the physique of the object to be measured, thereby realizing self-calibration of the detection component 100 for the second blood pressure detection method.

[0175] Since the method of obtaining blood pressure through pulse fluctuation parameters and pressure parameters requires continuous pressing of the detection part 10, while the method of obtaining blood pressure through pulse fluctuation parameters and electrocardiogram parameters does not require continuous pressing, the operation of the second blood pressure detection method is simpler and easier for users to operate.

[0176] Figure 7 It is a flowchart of a detection method according to an exemplary embodiment.

[0177] In some embodiments, Figure 7 As shown, the detection method may include:

[0178] S10: Acquire a first detection parameter and an electrocardiogram parameter of the subject to be detected at a first time and a pressure parameter of the detection unit, wherein the first detection parameter includes a pulse parameter of the subject to be detected;

[0179] S20: Outputting a physiological parameter at a first time according to the first detection parameter and the pressure parameter;

[0180] S31: Determine the pulse transmission time according to the first detection parameter and the electrocardiogram parameter;

[0181] S32: confirming the preset parameters according to the fitting relationship between the physiological parameters at the first time and the pulse transmission time;

[0182] S40: Acquire the first detection parameter and the electrocardiogram parameter of the object to be detected at the second time;

[0183] S50: Outputting the physiological parameters at the second time according to the first detection parameters at the second time, the electrocardiogram parameters and the preset parameters.

[0184] The first detection parameter may include a pulse parameter of the subject to be detected. For example, the first detection parameter may include a pulse fluctuation parameter and a compression area parameter. The physiological parameter may be a blood pressure parameter of the subject to be detected.

[0185] When the detection component 100 is in the first time, the pulse fluctuation parameters of the distal limbs of the object to be detected can be obtained through the fingerprint recognition module, the heart rate parameters of the object to be detected can be obtained through the electrocardiogram detection module, and the pressure parameters of the detection part 10 can be obtained through the pressure detection module.

[0186] According to the parameter results obtained in the first time, the detection component 100 can perform the first blood pressure detection method.

[0187] When the subject is undergoing blood pressure monitoring, the subject can press the detection component 100 according to the recommended pressure, thereby obtaining a pressure change curve that first increases and then decreases.

[0188] When the fingerprint recognition module is an ultrasonic fingerprint recognition module, the ultrasonic fingerprint recognition module can use an ultrasonic transducer to emit an ultrasonic pulse signal, then receive the reflected ultrasonic pulse, calculate the position of the reflection interface according to the time delay of the received pulse signal, and realize the ranging function. The fingerprint recognition module is attached to the skin surface of the object to be measured, and ultrasonic pulses are continuously emitted to the object to be measured, and the reflected echo signal is received, so that the pulse fluctuation parameters generated by the pulse on the skin surface of the object to be measured can be obtained.

[0189] When the fingerprint recognition module is a photoelectric fingerprint recognition module, the photoelectric fingerprint recognition module is based on the measurement principle of the photoelectric effect. The infrared light source is used to illuminate the skin tissue, and the light reflected by the illuminated tissue is received by the photoelectric sensor and converted into an electrical signal. When the heart beats, the blood flow causes the volume of the skin blood vessels to change, thereby causing the reflected light intensity of the illuminated tissue to change. The photoelectric fingerprint recognition module converts the received light signal into an electrical signal, and after amplification and filtering, the pulse fluctuation parameter is obtained.

[0190] The pressure detection module can record the pressure parameters in real time. The detection component 100 can calculate the pressing pressure parameters according to the pressing area parameters and the pressure parameters, and then combine the fluctuation value, the pressing pressure parameters and the relative coefficient to obtain the blood pressure parameters of the object to be tested at the first time.

[0191] For example, Um may be the fluctuation peak value obtained by the fingerprint recognition module, Pm may be the pressure parameter corresponding to Um, and Pm may be recorded as the average blood pressure.

[0192] The systolic pressure Ps may be equal to the pressure parameter corresponding to the first fluctuation value Us obtained by multiplying the fluctuation peak value Um by the first relative coefficient Ks. The first relative coefficient may be obtained by comparing and calibrating with other blood pressure measurement methods. For example, the first relative coefficient Ks may be 0.5.

[0193] The diastolic pressure Pd may be equal to the pressure parameter corresponding to the second fluctuation value Ud obtained by multiplying the fluctuation peak value Um by the second relative coefficient Kd. The second relative coefficient may be obtained by comparing and calibrating with other blood pressure measurement methods. For example, the second relative coefficient Ks may be 0.8.

[0194] The blood pressure parameter result at the first time obtained by the first blood pressure detection method is used as a reference result to calibrate the second blood pressure detection method.

[0195] The pulse wave parameters at the distal end of the subject's limbs are compared with the heart rate parameters to obtain the pulse conduction time. Since the pulse conduction time is inversely proportional to the change in blood pressure, the blood pressure of the subject can be calculated based on the pulse wave conduction time method. The calculation formula is as follows:

[0196] Blood pressure = A / pulse transit time + B

[0197] Among them, A and B are constants.

[0198] Among them, A and B are constants, and because the values ​​of A and B are related to the physical constitution of the object to be tested, the benchmark results can be substituted into the above calculation formula, and then the intermediate constants can be obtained by data fitting, and the values ​​of the intermediate constants can be configured as the values ​​of A and B.

[0199] During the blood pressure parameter detection process at the second time, that is, during the blood pressure parameter detection process after calibration is completed, the intermediate constant can be configured as a preset parameter, and the object to be measured can use the second blood pressure detection method calibrated according to the physique of the object to be measured, thereby realizing self-calibration of the detection component 100 for the second blood pressure detection method.

[0200] Since the method of obtaining blood pressure through pulse fluctuation parameters and pressure parameters requires continuous pressing of the detection part 10, while the method of obtaining blood pressure through pulse fluctuation parameters and electrocardiogram parameters does not require continuous pressing, the operation of the second blood pressure detection method is simpler and easier for users to operate.

[0201] Figure 8 is a flow chart of a detection method according to an exemplary embodiment. Figure 8 As shown, the detection method may include:

[0202] S11: detecting a pressing operation of the object to be tested on the detection part;

[0203] S12: Displaying the pressure parameter of the pressing operation and the preset pressure parameter, so that the object to be detected applies a force to the detection part according to the preset pressure parameter.

[0204] When the subject to be tested performs a pressing operation on the detection part, by displaying the pressure parameter of the pressing operation and the preset pressure parameter, the subject to be tested can apply pressure to the detection part according to the preset pressure parameter, so that the pressure parameter data of the detection part that continuously changes according to the preset pressure parameter can be obtained. Exemplarily, the change trend of the preset pressure parameter can be to increase first and then decrease.

[0205] Exemplarily, a recommended pressure curve that conforms to a preset pressure range and an actual pressure curve reflecting the pressure applied to the object to be tested can be simultaneously displayed to the object to be tested, so that the preset pressure range can clearly know the pressure applied to the detection part, and the pressure applied can be adjusted according to the difference between the recommended pressure curve and the actual pressure curve.

[0206] However, the present disclosure is not limited thereto, and the difference between the current pressure and the preset pressure range may also be fed back to the object to be measured by voice broadcast, vibration frequency, vibration amplitude, sound volume, light brightness, etc., so that the object to be measured can adjust the pressure applied to the object to be measured according to the feedback information. The first detection parameter may include a pulse parameter of the object to be measured, and illustratively, the first detection parameter may include a pulse fluctuation parameter and a pressing area parameter. The physiological parameter may be a blood pressure parameter of the object to be measured.

[0207] When the detection component 100 is in the first time, the pulse fluctuation parameters of the distal limbs of the object to be detected can be obtained through the fingerprint recognition module, the heart rate parameters of the object to be detected can be obtained through the electrocardiogram detection module, and the pressure parameters of the detection part 10 can be obtained through the pressure detection module.

[0208] According to the parameter results obtained in the first time, the detection component 100 can perform the first blood pressure detection method.

[0209] When the subject is undergoing blood pressure monitoring, the subject can press the detection component 100 according to the recommended pressure, thereby obtaining a pressure change curve that first increases and then decreases.

[0210] When the fingerprint recognition module is an ultrasonic fingerprint recognition module, the ultrasonic fingerprint recognition module can use an ultrasonic transducer to emit an ultrasonic pulse signal, then receive the reflected ultrasonic pulse, calculate the position of the reflection interface according to the time delay of the received pulse signal, and realize the ranging function. The fingerprint recognition module is attached to the skin surface of the object to be measured, and ultrasonic pulses are continuously emitted to the object to be measured, and the reflected echo signal is received, so that the pulse fluctuation parameters generated by the pulse on the skin surface of the object to be measured can be obtained.

[0211] When the fingerprint recognition module is a photoelectric fingerprint recognition module, the photoelectric fingerprint recognition module is based on the measurement principle of the photoelectric effect. The infrared light source is used to illuminate the skin tissue, and the light reflected by the illuminated tissue is received by the photoelectric sensor and converted into an electrical signal. When the heart beats, the blood flow causes the volume of the skin blood vessels to change, thereby causing the reflected light intensity of the illuminated tissue to change. The photoelectric fingerprint recognition module converts the received light signal into an electrical signal, and after amplification and filtering, the pulse fluctuation parameter is obtained.

[0212] The pressure detection module can record the pressure parameters in real time. The detection component 100 can calculate the pressing pressure parameters according to the pressing area parameters and the pressure parameters, and then combine the fluctuation value, the pressing pressure parameters and the relative coefficient to obtain the blood pressure parameters of the object to be tested at the first time.

[0213] For example, Um may be the pulse fluctuation peak value obtained by the fingerprint recognition module, Pm may be the pressure parameter corresponding to Um, and Pm may be recorded as the average blood pressure.

[0214] The systolic pressure Ps may be equal to the pressure parameter corresponding to the first fluctuation value Us obtained by multiplying the fluctuation peak value Um by the first relative coefficient Ks. The first relative coefficient may be obtained by comparing and calibrating with other blood pressure measurement methods. For example, the first relative coefficient Ks may be 0.5.

[0215] The diastolic pressure Pd may be equal to the pressure parameter corresponding to the second fluctuation value Ud obtained by multiplying the fluctuation peak value Um by the second relative coefficient Kd. The second relative coefficient may be obtained by comparing and calibrating with other blood pressure measurement methods. For example, the second relative coefficient Ks may be 0.8.

[0216] The blood pressure parameter result at the first time obtained by the first blood pressure detection method is used as a reference result to calibrate the second blood pressure detection method.

[0217] The pulse wave parameters at the distal end of the subject's limbs are compared with the heart rate parameters to obtain the pulse conduction time. Since the pulse conduction time is inversely proportional to the change in blood pressure, the blood pressure of the subject can be calculated based on the pulse wave conduction time method. The calculation formula is as follows:

[0218] Blood pressure = A / pulse transit time + B

[0219] Among them, A and B are constants.

[0220] Among them, A and B are constants, and because the values ​​of A and B are related to the physical constitution of the object to be tested, the benchmark results can be substituted into the above calculation formula, and then the intermediate constants can be obtained by data fitting, and the values ​​of the intermediate constants can be configured as the values ​​of A and B.

[0221] During the blood pressure parameter detection process at the second time, that is, during the blood pressure parameter detection process after calibration is completed, the intermediate constant can be configured as a preset parameter, and the object to be measured can use the second blood pressure detection method calibrated according to the physique of the object to be measured, thereby realizing self-calibration of the detection component 100 for the second blood pressure detection method.

[0222] Since the method of obtaining blood pressure through pulse fluctuation parameters and pressure parameters requires continuous pressing of the detection part 10, while the method of obtaining blood pressure through pulse fluctuation parameters and electrocardiogram parameters does not require continuous pressing, the operation of the second blood pressure detection method is simpler and easier for users to operate.

[0223] Fig. 9 It is a block diagram of a detection device according to an exemplary embodiment.

[0224] Based on the same concept, the embodiment of the present disclosure also provides a detection device 70 for detecting physiological parameters of a subject to be detected, such as Fig. 9 As shown, the detection device 70 may include: a detection unit 71, which is used to obtain a first detection parameter and an electrocardiogram parameter of the object to be detected at a first time and a pressure parameter of the detection part, wherein the first detection parameter includes a pulse parameter of the object to be detected, and obtain the first detection parameter and the electrocardiogram parameter of the object to be detected at a second time.

[0225] The processing unit 72 is used to output the physiological parameters at the first time according to the first detection parameters and the pressure parameters, determine the preset parameters according to the first detection parameters, the electrocardiogram parameters and the physiological parameters at the first time, and output the physiological parameters at the second time according to the first detection parameters, the electrocardiogram parameters and the preset parameters at the second time.

[0226] Regarding the detection device 70 in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0227] Based on the same concept, an embodiment of the present disclosure further provides an electronic device, which may include: a processor; a memory for storing instructions executable by the processor; wherein the processor is configured to: execute the detection method provided by the aforementioned embodiment of the present disclosure.

[0228] Fig.10 8 is a block diagram of an electronic device 800 for detecting physiological parameters according to an exemplary embodiment. For example, the electronic device 800 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.

[0229] Reference Fig.10 , the electronic device 800 may include one or more of the following components: a processing component 802 , a memory 804 , a power component 806 , a multimedia component 808 , an audio component 810 , an input / output (I / O) interface 812 , a sensor component 814 , and a communication component 816 .

[0230] The processing component 802 generally controls the overall operation of the electronic device 800, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing component 802 may include one or more processors 820 to execute instructions to complete all or part of the steps of the above-mentioned method. In addition, the processing component 802 may include one or more modules to facilitate the interaction between the processing component 802 and other components. For example, the processing component 802 may include a multimedia module to facilitate the interaction between the multimedia component 808 and the processing component 802.

[0231] The memory 804 is configured to store various types of data to support operations on the electronic device 800. Examples of such data include instructions for any application or method operating on the electronic device 800, contact data, phone book data, messages, pictures, videos, etc. The memory 804 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0232] The power component 806 provides power to the various components of the electronic device 800. The power component 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the electronic device 800.

[0233] The multimedia component 808 includes a screen that provides an output interface between the electronic device 800 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundaries of the touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front camera and / or a rear camera. When the electronic device 800 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

[0234] The audio component 810 is configured to output and / or input audio signals. For example, the audio component 810 includes a microphone (MIC), and when the electronic device 800 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode, the microphone is configured to receive an external audio signal. The received audio signal can be further stored in the memory 804 or sent via the communication component 816. In some embodiments, the audio component 810 also includes a speaker for outputting audio signals.

[0235] I / O interface 812 provides an interface between processing component 802 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include but are not limited to: home button, volume button, start button, and lock button.

[0236] The sensor assembly 814 includes one or more sensors for providing various aspects of status assessment for the electronic device 800. For example, the sensor assembly 814 can detect the open / closed state of the electronic device 800, the relative positioning of the components, such as the display and keypad of the electronic device 800, and the sensor assembly 814 can also detect the position change of the electronic device 800 or a component of the electronic device 800, the presence or absence of contact between the user and the electronic device 800, the orientation or acceleration / deceleration of the electronic device 800, and the temperature change of the electronic device 800. The sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 814 may also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor (pressure detection module) or a temperature sensor. For example, the sensor assembly 814 may include the detection assembly provided in the foregoing embodiments of the present disclosure.

[0237] The communication component 816 is configured to facilitate wired or wireless communication between the electronic device 800 and other devices. The electronic device 800 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

[0238] In an exemplary embodiment, the electronic device 800 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the above methods.

[0239] It is to be understood that in the present disclosure, "plurality" refers to two or more than two, and other quantifiers are similar. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the associated objects before and after are in an "or" relationship. The singular forms "a", "the" and "the" are also intended to include plural forms, unless the context clearly indicates other meanings.

[0240] It is further understood that the terms "second", "secondary", etc. are used to describe various information, but such information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other and do not indicate a specific order or degree of importance. In fact, the expressions "secondary", "secondary", etc. can be used interchangeably. For example, without departing from the scope of the present disclosure, the second information may also be referred to as the second information, and similarly, the second information may also be referred to as the second information.

[0241] It will be further understood that the terms “center”, “longitudinal”, “lateral”, “front”, “back”, “up”, “down”, “left”, “right”, “vertical”, “horizontal”, “top”, “bottom”, “inside”, “outside”, etc., indicating orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, are only for the convenience of describing the present embodiment and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation.

[0242] It can be further understood that, unless otherwise specified, “connection” includes a direct connection without other components between the two, and also includes an indirect connection with other components between the two.

[0243] It is further understood that, although the operations are described in a specific order in the drawings in the embodiments of the present disclosure, it should not be understood as requiring the operations to be performed in the specific order shown or in a serial order, or requiring the execution of all the operations shown to obtain the desired results. In certain environments, multitasking and parallel processing may be advantageous.

[0244] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. This application is intended to cover any modification, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present disclosure are indicated by the following scope of rights.

[0245] It should be understood that the present disclosure is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the scope of the appended claims.

Claims

1. A detection component, It is characterized in that The detection component comprises: A substrate, the substrate comprising a detection portion facing the object to be detected; A fingerprint recognition module is disposed on a first side of the substrate to detect a first detection parameter of the object to be detected, wherein the first side is a side of the substrate away from the detection unit; A pressure detection module is disposed on the first side of the substrate, and the pressure detection module is disposed on a side of the fingerprint recognition module away from the substrate, and the pressure detection module detects a pressure parameter of the detection unit; an electrocardiogram detection module, at least a portion of which is exposed to the detection portion, and the electrocardiogram detection module detects electrocardiogram parameters of the subject to be detected, Wherein, a first physiological parameter of the object to be tested is obtained through the first detection parameter and the pressure parameter; A second physiological parameter of the object to be detected is obtained through the first detection parameter, the electrocardiogram parameter and a preset parameter.

2. The detection component according to claim 1, It is characterized in that The detection component comprises: A circuit board, the circuit board is arranged on a side of the fingerprint recognition module and the electrocardiogram detection module away from the substrate, and the circuit board is electrically connected to the fingerprint recognition module, the pressure detection module and the electrocardiogram detection module; A processing module, wherein the processing module is electrically connected to the fingerprint recognition module, the pressure detection module and the electrocardiogram detection module through the circuit board; Wherein, the processing module determines the preset parameter through the first detection parameter, the electrocardiogram parameter and the first physiological parameter.

3. The detection component according to claim 2, It is characterized in that The fingerprint recognition module comprises: A sensing element, the sensing element is disposed on the first side of the substrate, and the sensing element receives a first sub-signal; a signal element, the signal element being disposed on the first side of the substrate, the signal element transmitting a first signal to the object to be measured, and the object to be measured reflecting the first signal to generate the first sub-signal, Wherein, the sensing element comprises a side surface intersecting with the plane where the substrate is located, and the signal element is arranged around the side surface of the sensing element; The sensing component generates the first detection parameter through the first sub-signal, and the sensing component outputs the first detection parameter to the processing module.

4. The detection component according to claim 2, It is characterized in that The pressure detection module comprises: an elastic member, the elastic member being disposed on the first side of the substrate, the elastic member being electrically connected to the circuit board, and the elastic member being deformed when the object to be detected presses the detection portion; A pressure sensing circuit is arranged on the circuit board, and the pressure sensing circuit detects the pressure parameter of the detection part by detecting the deformation amount of the elastic member.

5. The detection component according to claim 4, It is characterized in that At least a portion of the circuit board is fixed to the surface of the elastic member, and the pressure sensing circuit is arranged on the circuit board. When the elastic member is deformed, the circuit board is deformed, and the pressure sensing circuit outputs the pressure parameter to the processing module through the deformation amount of the elastic member.

6. The detection component according to claim 2, It is characterized in that The pressure detection module comprises: a pressure chip, the pressure chip being arranged on the first side of the substrate in the thickness direction of the detection component, and the pressure chip being electrically connected to the circuit board; Wherein, the pressure chip outputs the pressure parameter to the processing module.

7. The detection component according to claim 2, It is characterized in that The electrocardiogram detection module comprises: A conductive member, at least a portion of which is disposed on the second side of the substrate, the conductive member is electrically connected to the circuit board, and the conductive member detects the electrocardiogram parameters of the object to be measured, Wherein, the conductive member is electrically connected to the processing module, and the conductive member outputs the electrocardiogram parameter to the processing module; The second side of the substrate and the first side of the substrate are two opposite sides of the substrate.

8. The detection assembly according to claim 7, It is characterized in that The conductive element is disposed around the detection portion.

9. The detection component according to claim 4, It is characterized in that The pressure sensing circuit comprises: Power supply end; A first pressure-sensitive group, the first pressure-sensitive group is electrically connected to the power supply end, and the first pressure-sensitive group outputs a first voltage to the processing module; a second pressure-sensitive group, the second pressure-sensitive group being electrically connected to the power supply end, and the second pressure-sensitive group outputting a second voltage to the processing module; The processing module obtains the pressure parameter of the detection unit according to the difference between the first voltage and the second voltage.

10. The detection assembly according to claim 9, It is characterized in that The first voltage-sensitive group includes a first output terminal, and the first output terminal outputs the first voltage; The second voltage-sensitive group includes a second output terminal, and the second output terminal outputs the second voltage; When the pressure on the first pressure-sensitive group increases, the first voltage decreases, and when the pressure on the second pressure-sensitive group increases, the second voltage increases.

11. The detection component according to claim 10, It is characterized in that The first varistor group includes a first resistor and a first varistor; One end of the first varistor is electrically connected to the power supply end, and the other end of the first varistor is electrically connected to the first output end; One end of the first resistor is electrically connected to the first varistor, and the other end of the first resistor is grounded. When the pressure on the first varistor increases, the first voltage decreases.

12. The detection component according to claim 11, It is characterized in that The second varistor group includes a second resistor and a second varistor; One end of the second resistor is electrically connected to the power supply end, and the other end of the second resistor is electrically connected to the second output end; One end of the second varistor is electrically connected to the second varistor, and the other end of the second varistor is grounded. When the pressure on the second varistor increases, the second voltage increases.

13. The detection component according to claim 12, It is characterized in that The resistance value of the first resistor, the resistance value of the second resistor, the initial resistance value of the first varistor, and the initial resistance value of the second varistor are equal.

14. The detection component according to claim 1, It is characterized in that The fingerprint recognition module is an ultrasonic fingerprint recognition module or a photoelectric fingerprint recognition module, and / or The first detection parameter includes a pulse fluctuation parameter of the subject to be detected and a pressing area parameter of the subject to be detected.

15. An electronic device, It is characterized in that include: A detection assembly as claimed in any one of claims 1 to 14.

16. The electronic device according to claim 15, It is characterized in that The electronic device comprises a housing, Wherein, the housing comprises an opening, the opening exposing the substrate, and / or At least a portion of the housing serves as the substrate.

17. A detection method, It is characterized in that The detection method comprises: Acquire a first detection parameter and an electrocardiogram parameter of the subject to be detected at a first time and a pressure parameter of the detection unit, wherein the first detection parameter includes a pulse parameter of the subject to be detected; outputting a physiological parameter at a first time according to the first detection parameter and the pressure parameter; Determine a preset parameter according to the first detection parameter, the electrocardiogram parameter and the physiological parameter at the first time; Acquiring the first detection parameter and the electrocardiogram parameter of the subject to be tested at a second time; Outputting the physiological parameters at the second time according to the first detection parameters, the electrocardiogram parameters and the preset parameters at the second time.

18. The detection method according to claim 17, It is characterized in that The step of outputting a physiological parameter at a first time according to the first detection parameter and the pressure parameter comprises: The pulse parameters include pulse fluctuation parameters and pulse fluctuation peak value; According to the corresponding relationship between the pulse fluctuation parameter and the pressure parameter at the same time during the detection process, a corresponding curve between the pulse fluctuation parameter and the pressure parameter is determined; Determining a target pulse fluctuation parameter according to the product of a preset relationship value and the pulse fluctuation peak value; According to the corresponding curves of the pulse fluctuation parameter and the pressure parameter at the same time, the first pressure parameter corresponding to the target pulse fluctuation parameter is confirmed, and the value of the first pressure parameter is the value of the physiological parameter at the first time.

19. The detection method according to claim 17, It is characterized in that The obtaining of preset parameters according to the first detection parameter, the electrocardiogram parameter and the physiological parameter at the first time includes: Determine pulse transmission time according to the first detection parameter and the electrocardiogram parameter; The preset parameters are confirmed according to the fitting relationship between the physiological parameters of the first time and the pulse transmission time.

20. The detection method according to claim 17, It is characterized in that The step of obtaining the first detection parameter and the electrocardiogram parameter of the object to be detected and the pressure parameter of the detection part includes: detecting a pressing operation of the object to be detected on the detection portion; The pressure parameter of the pressing operation and the preset pressure parameter are displayed so that the object to be detected applies a force to the detection part according to the preset pressure parameter.

21. A detection device, It is characterized in that Used to detect physiological parameters of the subject to be tested, including: A detection unit, used to obtain a first detection parameter and an electrocardiogram parameter of the object to be detected at a first time and a pressure parameter of the detection unit, wherein the first detection parameter includes a pulse parameter of the object to be detected, and to obtain the first detection parameter and the electrocardiogram parameter of the object to be detected at a second time; A processing unit is used to output the physiological parameters at a first time according to the first detection parameter and the pressure parameter, determine the preset parameters according to the first detection parameter, the electrocardiogram parameter and the physiological parameters at the first time, and output the physiological parameters at the second time according to the first detection parameter, the electrocardiogram parameter and the preset parameters at the second time.

22. An electronic device, It is characterized in that include: processor; a memory for storing processor-executable instructions; Wherein, the processor is configured to: execute the detection method described in any one of claims 17 to 20.