CN112450891B

CN112450891B - Physiological parameter acquisition method and device and physiological parameter processing method and device

Info

Publication number: CN112450891B
Application number: CN201910766134.7A
Authority: CN
Inventors: 李宏宝; 张�杰; 任慧超; 吴宙真; 黄曦
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2019-08-19
Filing date: 2019-08-19
Publication date: 2022-03-29
Anticipated expiration: 2039-08-19
Also published as: WO2021031979A1; CN112450891A

Abstract

The application provides a method and a device for acquiring physiological parameters and a method and a device for processing the physiological parameters, wherein the method for processing the physiological parameters comprises the following steps: the method comprises the steps that a collecting device obtains heart sound signals, electrocardio signals and fingertip pulse wave signals of a user; the acquisition device sends the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal to a processing device; the processing device determines risk information of the user according to the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal, wherein the risk information is used for indicating the risk of coronary heart disease of the user; the processing device outputs the risk information. By adopting the method and the device for acquiring the physiological parameters and the method and the device for processing the physiological parameters, the risk of the user suffering from the coronary heart disease can be predicted, and accidents caused by the attack of the coronary heart disease can be avoided for the user.

Description

Physiological parameter acquisition method and device and physiological parameter processing method and device

Technical Field

The present application relates to the field of terminal technologies, and in particular, to a method and an apparatus for acquiring a physiological parameter and a method and an apparatus for processing a physiological parameter in the field of terminal technologies.

Background

In the current society, the incidence of cardiovascular diseases is increasing due to the acceleration of life rhythm and the lack of unscientific dietary habits and self-health consciousness. Coronary atherosclerotic heart disease, also known as "coronary heart disease", is a common type of cardiovascular disease, and is a heart disease caused by myocardial ischemia, hypoxia or necrosis due to stenosis or obstruction of the vessel lumen caused by atherosclerotic lesions of the coronary artery, which is a blood vessel supplying heart nutrients.

Coronary heart disease is called as the first killer of human because of its high incidence, high mortality, high recurrence rate, and many complications. In many existing cases, the cardiovascular risk of the patient may be already present, but the patient is not aware or cannot be aware of the risk in time, and the serious result that the patient cannot be treated in time is caused when the disease suddenly occurs.

Therefore, it is desirable to provide a device capable of detecting the risk of coronary heart disease, which is beneficial to avoid the occurrence of an accident caused by the coronary heart disease attack of a user.

Disclosure of Invention

The physiological parameter acquisition method and device and the physiological parameter processing method and device can predict the risk of coronary heart disease of a user, and are beneficial to avoiding accidents caused by the attack of the coronary heart disease.

In a first aspect, the present application provides a method for acquiring a physiological parameter, the method comprising:

collecting heart sound signals, electrocardio signals and fingertip pulse wave signals of a user;

and sending the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal to a processing device.

In one possible implementation manner, the acquiring a heart sound signal, an electrocardiogram signal and a fingertip pulse wave signal of a user includes: collecting the heart sound signal through a heart sound sensor; acquiring the electrocardiosignals through an electrocardio sensor; and collecting the fingertip pulse wave signals through the fingertip pulse wave sensor.

By adopting the acquisition method provided by the embodiment of the application, various physiological parameters of the user can be acquired simultaneously, the acquisition efficiency of the physiological parameters is improved, and meanwhile, the processing device is favorable for predicting the risk of the coronary heart disease of the user according to the three signals.

In a second aspect, the present application provides a method for processing a physiological parameter, the method comprising:

acquiring a heart sound signal, an electrocardiosignal and a fingertip pulse wave signal of a user;

determining risk information of the user according to the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal, wherein the risk information is used for indicating the risk of coronary heart disease of the user;

and outputting the risk information.

By adopting the processing method provided by the embodiment of the application, because the fingertip contains peripheral nerves, the fingertip pulse wave signals acquired by the fingertip can reflect the information related to the peripheral nerves, and the waveform is more complete. Therefore, the disease risk obtained according to the three physiological parameters is more accurate.

In one possible implementation manner, the determining risk information of the user according to the heart sound signal, the cardiac electrical signal, and the fingertip pulse wave signal includes: determining sensitive features of the heart sound signal and signal quality of the heart sound signal according to the heart sound signal; according to the electrocardiosignals, determining the sensitive characteristics of the electrocardiosignals and the signal quality of the electrocardiosignals; determining the sensitive characteristics of the fingertip pulse wave signals and the signal quality of the fingertip pulse wave signals according to the fingertip pulse wave signals; and determining the risk information of the user according to the sensitive characteristics of the heart sound signals, the signal quality of the heart sound signals, the sensitive characteristics of the electrocardio signals, the signal quality of the electrocardio signals, the sensitive characteristics of the fingertip pulse wave signals and the signal quality of the fingertip pulse wave signals.

For example, the risk information of the user may be determined according to the sensitive feature of the heart sound signal, a preset first mapping relationship, the signal quality of the heart sound signal, the contribution degree of the heart sound signal to the prediction of the coronary heart disease, the sensitive feature of the cardiac signal, a preset second mapping relationship, the signal quality of the cardiac signal, the contribution degree of the cardiac signal to the prediction of the coronary heart disease, the sensitive feature of the fingertip pulse wave signal, a preset third mapping relationship, the signal quality of the fingertip pulse wave signal, and the contribution degree of the fingertip pulse wave signal to the prediction of the coronary heart disease.

By adopting the processing method provided by the embodiment of the application, the accuracy of the disease risk prediction can be improved by combining the three physiological parameters and the sensitive characteristics and the signal quality of each physiological parameter.

It should be noted that the first mapping relationship is used for representing a corresponding relationship between the sensitive characteristic of the cardiac sound signal and the risk of coronary heart disease, the second mapping relationship is used for representing a corresponding relationship between the sensitive characteristic of the cardiac sound signal and the risk of coronary heart disease, and the third mapping relationship is used for representing a corresponding relationship between the sensitive characteristic of the fingertip pulse wave signal and the risk of coronary heart disease.

For example, the first mapping relationship may be represented by:

f_pcg(S_pcg)＝g(S_power)

wherein S is_pcgRepresenting a heart sound signal, S_powerRepresenting the sum of the spectral energies of the high-frequency portions of the heart sounds, and g representing a normalization function, such as a sigmoid function.

For example, the second mapping relationship may be represented by:

f_ecg(S_ecg)＝g(T_PTT)

wherein S is_ecgRepresenting the cardiac signal, T_PTTRepresenting the pulse transit time, g representing a normalization function, such as a sigmoid function.

For example, the third mapping relationship may be represented by:

wherein S is_ppgRepresenting the fingertip pulse wave signal H_heightIndicating height, T₂Representing the time between the main wave and the peak of the dicrotic wave, H₁Representing the amplitude of the dicrotic wave, H₂Representing the amplitude of the primary wave, and g representing a normalization function, such as a sigmoid function.

It should be noted that the contribution degree of each of the above signals to the coronary heart disease prediction may be preset in advance. Specifically, the accuracy of coronary heart disease suffered by the sample user can be predicted according to each signal (namely, electrocardio signals, heart sound signals or fingertip pulse wave signals), and the contribution degree of each signal to the prediction of the coronary heart disease is determined.

In one possible implementation, the sensitive feature of the heart sound signal includes high frequency partial spectral energy; the sensitive characteristics of the fingertip pulse wave signal comprise at least one of normalized peak time, peak ratio, hardening index and reflection index; the sensitive characteristic of the electrocardiosignal comprises pulse wave conduction time.

In one possible implementation manner, the acquiring a heart sound signal, an electrocardiogram signal, and a fingertip pulse wave signal of a user includes: and receiving the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal sent by a collecting device.

In one possible implementation manner, the acquiring a heart sound signal, an electrocardiogram signal, and a fingertip pulse wave signal of a user includes: collecting the heart sound signal through a heart sound sensor; acquiring the electrocardiosignals through an electrocardio sensor; and collecting the fingertip pulse wave signals through a fingertip pulse wave sensor.

In one possible implementation, the outputting the risk information includes: the risk information is displayed to the user through a display interface of a display.

By adopting the processing method provided by the embodiment of the application, the risk of coronary heart disease can be visually presented to the user, and the user can conveniently know the health condition of the body.

In one possible implementation, the method further includes: and displaying the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal to a user through the display interface.

By adopting the processing method provided by the embodiment of the application, the acquired physiological parameters can be visually presented to the user, so that the user can conveniently know and analyze the health condition of the body of the user.

In one possible implementation, the method further includes: and when the risk information is larger than or equal to a preset threshold value, displaying prompt information to the user through the display interface, wherein the prompt information comprises information for reminding the user of seeking medical advice and/or information for reminding the user of attention.

By adopting the processing method provided by the embodiment of the application, the notice and other prompt information can be conveniently presented to the user when the physical health of the user has problems.

In one possible implementation, the display interface includes an instruction area, and the instruction area includes at least one of an emergency instruction area, a contact emergency contact instruction area, a disease registration instruction area, and a medical instruction area, wherein the emergency instruction area is configured to obtain emergency instructions for the user, the contact emergency contact instruction area is configured to obtain contact emergency contact instructions for the user, the hospital disease registration instruction area is configured to obtain registered disease instructions for the user, and the medical instruction area is configured to obtain medical registration instructions for the user, and the method further includes: acquiring a target instruction sent by the user through the instruction area, wherein the target instruction comprises at least one of the emergency instruction, the emergency contact instruction and the hospitalizing registration instruction; performing an operation corresponding to the target instruction, the first aid instruction corresponding to dialing 110, the contact emergency contact instruction corresponding to dialing an emergency contact phone, the registration disease instruction corresponding to registering a medical condition with a hospital, and the hospitalization registration instruction corresponding to online hospitalization registration.

By adopting the processing method provided by the embodiment of the application, the operation under emergency can be conveniently provided for the user, for example, when the user is ill at a higher risk and even suffers from a disease, corresponding help and service can be timely and quickly provided for the user.

It should be noted that, the embodiment of the present application is not limited to presenting the interface provided in the foregoing possible implementation manner through the display interface, and may also present other prompt information and operations related to patients, diseases, medical visits, and the like, and the embodiment of the present application is not limited to this.

In a third aspect, the present application provides a method for processing a physiological parameter, the method comprising:

the method comprises the steps that a collecting device obtains heart sound signals, electrocardio signals and fingertip pulse wave signals of a user;

the acquisition device sends the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal to a processing device;

the processing device determines risk information of the user according to the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal, wherein the risk information is used for indicating the risk of coronary heart disease of the user;

the processing device outputs the risk information.

By adopting the processing method provided by the embodiment of the application, the acquisition device can acquire various physiological parameters of the user at the same time, and the acquisition efficiency is higher. Meanwhile, the fingertip comprises peripheral nerves, the fingertip pulse wave signals collected by the fingertip can reflect information related to the peripheral nerves, and the waveform of the fingertip pulse wave signals is more complete, so that the accuracy of predicting the risk of the user suffering from the coronary heart disease is higher according to the three signals by the processing device.

In one possible implementation, the processing device includes a display, and the processing device outputs the risk information, including: the risk information is displayed to the user through a display interface of the display.

In a fourth aspect, the present application provides an apparatus for acquiring a physiological parameter, the apparatus comprising: the device comprises a heart sound sensor, an electrocardio sensor, a fingertip pulse wave sensor and an output end;

the heart sound sensor is used for acquiring a heart sound signal of a user and transmitting the heart sound signal to the processor;

the electrocardio sensor is used for acquiring electrocardiosignals of the user and transmitting the electrocardiosignals to the processor;

the fingertip pulse wave sensor is used for collecting a fingertip pulse wave signal of the user and transmitting the fingertip pulse wave signal to the processor;

the output end is used for outputting the risk information.

By adopting the acquisition device provided by the embodiment of the application, various physiological parameters of a user can be acquired simultaneously, and the acquisition efficiency is higher. Meanwhile, the fingertip comprises peripheral nerves, the fingertip pulse wave signals collected by the fingertip can reflect information related to the peripheral nerves, and the waveform is more complete, so that the accuracy of predicting the risk of the user suffering from coronary heart disease is higher.

Optionally, the cardiac sensor comprises a first electrode and a second electrode, the first electrode and the second electrode having opposite polarities.

In one possible implementation, the apparatus further comprises a base comprising a first surface and a second surface, the first surface being disposed opposite the second surface, wherein the first surface is the side in contact with the skin at the coronary artery detection region of the user and the second surface is the side in contact with the finger of the user; the heart sound sensor and the first electrode are disposed on the first surface; the fingertip pulse wave sensor and the second electrode are arranged on the second surface; the output end is disposed in the lumen between the first surface and the second surface, or on the first surface, or on the second surface.

Alternatively, the surface shape of the base may be a circle, a quadrangle, a polygon, or other irregular shapes, which is not limited in this application.

Alternatively, the surface shape of each sensor may be a circle, a quadrangle, a polygon, or other irregular shapes, which is not limited in this application.

Alternatively, a plurality of sensors on each surface of the base can be independently arranged or nested, and the embodiment of the application is not limited to this.

By adopting the acquisition device provided by the embodiment of the application, the multiple sensors are independently arranged, and the integration cost can be saved.

The acquisition device provided by the embodiment of the application is adopted, the multiple sensors are nested, the size of the base can be reduced, multiple signals can be acquired simultaneously, and the acquisition efficiency and the convenience can be improved.

In one possible implementation, the heart sound sensor and the first electrode are nested together and disposed on the first surface; the fingertip pulse wave sensor and the second electrode are nested together and disposed on the second surface.

Optionally, the fingertip pulse wave sensor and the second electrode can be tightly nested, or a gap can exist; the heart sound sensor and the first electrode may be closely nested, or a gap may exist, which is not limited in the embodiments of the present application.

In a possible implementation manner, the second surface comprises a groove matched with the shape of a finger, and the fingertip pulse wave sensor and the second electrode are embedded in the groove bottom area of the groove.

Adopt the collection system that this application embodiment provided, fingertip pulse wave sensor and second electrode nested the setting in the groove bottom region with the recess that the finger shape matches, can reduce the light leak, improve the integrality that fingertip pulse wave signal gathered to can improve the accuracy of predicting the risk of suffering from a disease.

In one possible implementation, the device further includes a base including a first surface and a second surface, the first surface being disposed opposite the second surface, and a grip disposed on the second surface, wherein the first surface is a side in contact with skin at the coronary artery detection region of the user, and the second surface is a side in contact with a finger of the user; the heart sound sensor and the first electrode are disposed on the first surface; the fingertip pulse wave sensor and the second electrode are arranged on the handle body of the grab handle; the output end is disposed in the lumen between the first surface and the second surface, or on the first surface, or on the second surface, or on the shank.

Adopt the collection system that this application embodiment provided, the base upper band grab handle, it is more convenient that the user holds between the fingers the device, and only need hold between the fingers the device and just can gather physiological parameter, it is more convenient to use.

In one possible implementation, the heart sound sensor and the first electrode are nested together and disposed on the first surface; the fingertip pulse wave sensor and the second electrode are nested together and arranged on the handle body.

In one possible implementation, the surface shape of the first electrode is a circular ring, the surface shape of the heart sound sensor is a circular ring, and the heart sound sensor is disposed in a central region formed by the circular ring.

By adopting the acquisition device provided by the embodiment of the application, the heart sound sensor and the first electrode are arranged at the central position of the first surface, the surface area contacted with the skin of a user can be improved, and the waveform of the acquired heart sound signal is improved more completely.

Optionally, the electrocardiograph sensor includes a first electrode, a second electrode, and a third electrode, wherein the polarities of the first electrode and the second electrode are opposite, and the third electrode has a preset constant potential.

By adopting the acquisition device provided by the embodiment of the application, the electrocardio sensor adopts the three-electrode measurement circuit, so that the integrity and the accuracy of the acquired electrocardio signal can be improved.

In one possible implementation, the apparatus further comprises a base comprising a first surface and a second surface, the first surface being disposed opposite the second surface, wherein the first surface is the side in contact with the skin at the coronary artery detection region of the user and the second surface is the side in contact with the finger of the user; the heart sound sensor and the first electrode are disposed on the first surface; the fingertip pulse wave sensor and the second electrode are arranged on the second surface; the third electrode is disposed on the first surface or the second surface; the output end is disposed in the lumen between the first surface and the second surface, or on the first surface, or on the second surface.

Optionally, the third electrode may be disposed on the first surface.

By adopting the acquisition device provided by the embodiment of the application, the user can acquire the physiological parameters only by executing the operation of the pressing device, and the use is more convenient.

In one possible implementation, the third electrode is disposed on the first surface; the heart sound sensor, the first electrode, and the third electrode are nested together and disposed on the first surface; the fingertip pulse wave sensor and the second electrode are nested together and disposed on the second surface.

Adopt the collection system that this application embodiment provided, fingertip pulse wave sensor and second electrode nested the setting in the groove bottom region with the recess that the finger shape matches, reduce the light leak, improve the integrality that fingertip pulse wave signal gathered to can improve the accuracy of the sick risk of prediction.

Optionally, the third electrode may be disposed on the second surface.

In one possible implementation, the third electrode is disposed on the second surface; the heart sound sensor and the first electrode are nested together and disposed on the first surface; the fingertip pulse wave sensor, the second electrode and the third electrode are nested together and disposed on the second surface.

In a possible implementation manner, the second surface includes a groove matching with the shape of a finger, and the fingertip pulse wave sensor, the second electrode and the third electrode are embedded in a groove bottom area of the groove.

Adopt the collection system that this application embodiment provided, fingertip pulse wave sensor, second electrode and third electrode nested set up in the groove bottom region with the recess that the finger shape matches, can reduce the light leak, improve the integrality that fingertip pulse wave signal gathered to can improve the accuracy of predicting the risk of suffering from diseases.

In one possible implementation, the apparatus further includes a base and a grip, the base including a first surface and a second surface, the first surface being disposed opposite the second surface, wherein the first surface is a side in contact with skin at the coronary artery detection region of the user, and the second surface is a side in contact with a finger of the user; the heart sound sensor and the first electrode are disposed on the first surface; the fingertip pulse wave sensor and the second electrode are arranged on the handle body of the grab handle; the third electrode is disposed on the first surface or the shank; the output end is disposed in the lumen between the first surface and the second surface, or on the first surface, or on the second surface, or on the shank.

Adopt the collection system that this application embodiment provided, the base upper band grab handle, it is more convenient that the user holds between the fingers the device, and only need carry out the operation of holding between the fingers the device and just can gather physiological parameter, it is more convenient to use.

Optionally, the third electrode may be disposed on the first surface.

In one possible implementation, the third electrode is disposed on the first surface; the heart sound sensor, the first electrode, and the third electrode are nested together and disposed on the first surface; the fingertip pulse wave sensor and the second electrode are nested together and arranged on the handle body.

In a possible implementation manner, the surface shapes of the first electrode and the third electrode are both semicircular rings, the surface shape of the heart sound sensor is circular, and the heart sound sensor is arranged in an area formed by surrounding the two semicircular rings.

Adopt the collection system that this application embodiment provided, heart sound sensor, first electrode and third electrode set up the central point on first surface and put, can improve the surface area with user's skin contact, and the wave form of the heart sound signal of improvement collection is more complete.

Optionally, the third electrode may be disposed on the handle.

In one possible implementation, the third electrode is disposed on the shaft; the heart sound sensor and the first electrode are nested together and disposed on the first surface; the fingertip pulse wave sensor, the second electrode and the third electrode are nested together and arranged on the handle body.

In a possible implementation manner, the handle body comprises a groove matched with the shape of a finger, and the fingertip pulse wave sensor, the second electrode and the third electrode are embedded in the groove bottom area of the groove.

In a possible implementation manner, the surface shape of the first electrode is a circular ring, the surface shape of the heart sound sensor is a circular ring, and the heart sound sensor is arranged in an area formed by the circular ring.

In a fifth aspect, the present application provides a device for processing physiological parameters, the device comprising a memory, a processor, a transceiver, and instructions stored in the memory and executable on the processor, wherein the memory, the processor, and the transceiver are in communication with each other via an internal connection path, and the processor executes the instructions to enable the device to implement the method described in any one of the possible implementation manners of the second aspect.

Optionally, the processing device may be a terminal device.

In a sixth aspect, the present application provides an apparatus, comprising the device for acquiring a physiological parameter as described in any one of the possible implementation manners of the fourth aspect, and the device for processing a physiological parameter as described in any one of the possible implementation manners of the fifth aspect.

In a seventh aspect, the present application provides another apparatus, including a sensor module, a processor, a memory, and a display, where the sensor module includes an electrocardiograph sensor, a heart sound sensor, and a fingertip pulse wave sensor processor;

the sensor module is used for acquiring signals and storing the signals into the memory, wherein the signals comprise electrocardiosignals, heart sound signals and fingertip pulse wave signals; the processor is configured to perform signal processing on the signal stored in the memory according to the processing method in any one of the possible implementation manners of the second aspect, and output a processing result through the display.

In one possible implementation, the processor is configured to: the risk information is displayed to the user through a display interface of the display.

In one possible implementation, the processor is further configured to: and displaying the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal to a user through the display interface.

In one possible implementation, the processor is further configured to: and when the risk information is larger than or equal to a preset threshold value, displaying prompt information to the user through the display interface, wherein the prompt information comprises information for reminding the user of seeking medical advice and/or information for reminding the user of attention.

In one possible implementation, the display interface includes an instruction area, the instruction area includes at least one of an emergency instruction area for obtaining emergency instructions of the user, a contact emergency contact instruction area for obtaining contact emergency contact instructions of the user, a disease registration instruction area for obtaining registered disease instructions of the user, and a medical instruction area for obtaining medical registration instructions of the user, the processor is further configured to: acquiring a target instruction sent by the user through the instruction area, wherein the target instruction comprises at least one of the emergency instruction, the emergency contact instruction and the hospitalizing registration instruction; performing an operation corresponding to the target instruction, the first aid instruction corresponding to dialing 110, the contact emergency contact instruction corresponding to dialing an emergency contact phone, the registration disease instruction corresponding to registering a medical condition with a hospital, and the hospitalization registration instruction corresponding to online hospitalization registration.

An eighth aspect is a computer-readable medium storing a computer program, characterized in that the computer program comprises instructions for implementing the method as described in any of the possible implementation manners of the first aspect to the third aspect.

A ninth aspect is a computer program product comprising instructions that, when executed on a computer, cause the computer to implement the method described in any of the possible implementation manners of the first to third aspects.

A tenth aspect, a chip apparatus, comprising: an input interface, an output interface, at least one processor, and a memory, wherein the input interface, the output interface, the processor, and the memory communicate with each other through an internal connection path, and the processor is configured to execute codes in the memory, and when the processor executes the codes, the chip apparatus implements the method in any one of the possible implementation manners of the first aspect to the third aspect.

Drawings

Fig. 1 is a time-frequency diagram of a heart sound signal provided by an embodiment of the present application;

FIG. 2 is a time-frequency diagram of a fingertip pulse wave signal according to an embodiment of the present disclosure;

FIG. 3 is a graph comparing waveforms of a fingertip pulse wave signal and a wrist pulse wave signal according to an embodiment of the present application;

FIG. 4 is a time-frequency comparison graph of an ECG signal and a heart sound signal provided by an embodiment of the present application;

FIG. 5 is a time-frequency comparison graph of the cardiac electrical signal and the fingertip pulse wave signal provided in the embodiment of the present application;

fig. 6 is a schematic block diagram of an acquisition device for physiological parameters provided by an embodiment of the present application;

FIG. 7 is a schematic block diagram of an apparatus for acquiring physiological parameters provided by an embodiment of the present application;

FIG. 8 is a schematic block diagram of another physiological parameter acquisition device provided in an embodiment of the present application;

FIG. 9 is a schematic block diagram of another physiological parameter acquisition device provided in the embodiments of the present application;

FIG. 10 is a schematic block diagram of another physiological parameter acquisition device provided in an embodiment of the present application;

FIG. 11 is a schematic block diagram of another physiological parameter acquisition device provided in the embodiments of the present application;

FIG. 12 is a schematic block diagram of another physiological parameter acquisition device provided in the embodiments of the present application;

FIG. 13 is a schematic block diagram of another physiological parameter acquisition device provided in the embodiments of the present application;

FIG. 14 is a schematic block diagram of another physiological parameter acquisition device provided in an embodiment of the present application;

FIG. 15 is a schematic block diagram of another physiological parameter acquisition device provided in the embodiments of the present application;

FIG. 16 is a schematic block diagram of another physiological parameter acquisition device provided in the embodiments of the present application;

FIG. 17 is a schematic block diagram of another physiological parameter acquisition device provided in an embodiment of the present application;

FIG. 18 is a schematic block diagram of another physiological parameter acquisition device provided in an embodiment of the present application;

FIG. 19 is a schematic block diagram of another physiological parameter acquisition device provided in an embodiment of the present application;

FIG. 20 is a schematic block diagram of another physiological parameter acquisition device provided in an embodiment of the present application;

FIG. 21 is a schematic block diagram of another physiological parameter acquisition device provided in an embodiment of the present application;

FIG. 22 is a schematic block diagram of another physiological parameter acquisition device provided in the embodiments of the present application;

FIG. 23 is a schematic block diagram of another physiological parameter acquisition device provided in the embodiments of the present application;

FIG. 24 is a schematic block diagram of another physiological parameter acquisition device provided in an embodiment of the present application;

fig. 25 is a schematic structural diagram of a terminal device provided in an embodiment of the present application;

FIG. 26 is a schematic flow chart diagram of a method for processing physiological parameters provided by an embodiment of the present application;

FIG. 27 is a schematic flow chart diagram of a method for processing physiological parameters provided by an embodiment of the present application;

FIG. 28 is a schematic illustration of a display interface provided by an embodiment of the present application;

FIG. 29 is a schematic view of another display interface provided by an embodiment of the present application;

FIG. 30 is a schematic view of yet another display interface provided by an embodiment of the present application;

FIG. 31 is a schematic view of yet another display interface provided by an embodiment of the present application;

FIG. 32 is a schematic view of yet another display interface provided by an embodiment of the present application;

FIG. 33 is a schematic view of yet another display interface provided by an embodiment of the present application;

FIG. 34 is a schematic view of yet another display interface provided by an embodiment of the present application;

FIG. 35 is a schematic view of yet another display interface provided by an embodiment of the present application;

FIG. 36 is a schematic flow chart diagram of another method for processing physiological parameters provided by an embodiment of the present application;

FIG. 37 is a schematic view of yet another display interface provided by an embodiment of the present application;

FIG. 38 is a schematic view of yet another display interface provided by an embodiment of the present application;

FIG. 39 is a schematic illustration of yet another display interface provided by an embodiment of the present application;

FIG. 40 is a schematic view of yet another display interface provided by an embodiment of the present application;

fig. 41 is a schematic block diagram of a processing device for physiological parameters provided by an embodiment of the present application;

fig. 42 is a schematic block diagram of an acquisition device of physiological parameters provided in an embodiment of the present application.

Detailed Description

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

To facilitate understanding of the present application, a brief description of several signals referred to in the present application is provided below.

1. Heart sound signal

Fig. 1 shows a time-frequency diagram of a heart sound signal, wherein the S1 stage is the systolic phase of the heart, and the S2 stage is the diastolic phase of the heart, and it can be seen from fig. 1 that in the S2 stage of a coronary heart disease patient, due to the blood vessel blockage, the heart sound signal has high-frequency partial spectrum energy and appears. Therefore, the high frequency spectrum energy sum can be used as a sensitive characteristic for judging the arteriosclerosis and coronary heart disease risks of the user.

The sum of the high-frequency partial spectral energies can be obtained by equation (1):

S_powersum (P (M: end)) formula (1)

Wherein, P ═ Y × conj (Y)/N, Y ═ TTF (Y, N), S_powerFor the sum of the high-frequency partial spectral energies, P is the power spectral density, i.e. the energy at different frequencies is measured, sum () represents the summation operation, (M: end) represents the sum from the mth one up to the last one, conj () represents the complex conjugate operation, Y represents the result of the fourier transform, Y is the heart sound signal, N is the number of points of the fourier transform, generally chosen to be an integer power of 2, FFT () represents the fourier transform operation.

Wherein, the larger the value obtained by the formula (1), the higher the possibility that the user is at risk of arteriosclerosis or coronary heart disease.

2. Fingertip pulse wave signal

The time-frequency diagram of the fingertip pulse wave signal is shown in fig. 2, where T₁Time from trough to dominant wave crest, T₂Time from main wave peak to dicrotic wave peak, T₃The period of the pulse wave, H₁Amplitude of the dicrotic wave, H₂The amplitude of the main wave.

The indexes provided in the following formulas (2) to (5) can be used as sensitive characteristics for judging the risk of arteriosclerosis and coronary heart disease of the user:

normalized peak time T1/H_heightFormula (2)

Crest ratio T1/T3 equation (3)

Hardening index H_heightformula/T2 (4)

Reflection index H1/H2 equation (5)

Wherein H_heightIs the height of the user. The larger the values obtained by equations (2) to (5), the greater the likelihood that the user is at risk of developing arteriosclerosis or coronary heart disease.

Fig. 3 shows a waveform comparison graph of the fingertip pulse wave signal and the wrist pulse wave signal, and it can be seen from fig. 3 that the fingertip pulse wave signal collected by the fingertip has better waveform integrity than the wrist pulse wave signal because of the peripheral nerve included on the fingertip, for example, the dicrotic wave in the waveform graph of the wrist pulse wave signal is more obvious.

3. Electrocardiosignal

Fig. 4 shows a time-frequency contrast diagram of an electrocardiographic signal and a heart sound signal, wherein the first heart sound appears behind the R wave of the electrocardiograph, so that the electrocardiographic signal can assist in the segmentation of the heart sound signal.

Fig. 5 shows a time-frequency comparison graph of an electrocardiographic signal and a fingertip pulse wave signal, wherein the pulse wave propagation time is the time for transmitting the pulse wave from the heart to a recording part, and can reflect the health condition of the heart. Therefore, the pulse wave propagation time can be used as a sensitive feature for judging the arteriosclerosis and the coronary heart disease risk of the user.

The pulse transit time can be obtained by equation (6):

T_PTT＝T_PPG-T_ECGformula (6)

Wherein, T_ECGRefers to the time of electrocardiographic generation, T, within a heart cycle_PPGThe time at which the pulse wave travels to the wrist is indicated.

Wherein, the larger the value obtained by the formula (6), the higher the possibility that the user is at risk of arteriosclerosis or coronary heart disease.

It should be noted that, the above only lists several sensitive features of commonly used heart sound signals, electrocardio signals and fingertip pulse wave signals, but the sensitive features of these three signals are not limited to the above, and as long as the above mentioned sensitive features and the index of the relationship between the user and the risk of arteriosclerosis or coronary heart disease can be satisfied, the sensitive features can be used.

Fig. 6 shows a schematic block diagram of an acquisition device 100 for physiological parameters provided by the embodiment of the present application. As shown in fig. 6, the acquisition device 100 includes a heart sound sensor 110, an electrocardiograph sensor 120, a fingertip pulse wave sensor 130, and an output terminal 140, wherein the electrocardiograph sensor 120 includes a first electrode 121 and a second electrode 122, and the polarities of the first electrode 121 and the second electrode 122 are opposite.

The heart sound sensor 110 is configured to collect a heart sound signal of a user, the electrocardiograph sensor 120 is configured to collect an electrocardiograph signal of the user, the fingertip pulse wave sensor 130 is configured to collect a fingertip pulse wave signal of the user, and the output end 140 is configured to output the heart sound signal, the electrocardiograph signal, and the fingertip pulse wave signal.

Optionally, the acquisition device 100 may further comprise a base 150, as shown in fig. 7, the base 150 comprises a first surface 151 and a second surface 152, the first surface 151 being a side contacting the skin at the coronary artery detection region of the user, and the second surface 152 being a side opposite to the first surface 151 (i.e. the second surface 152 being a side contacting the finger of the user).

It should be noted that the coronary artery detection region is a region for detecting a coronary artery, for example, at the fourth rib on the left side of the user.

It should be noted that the first surface 151 in the acquisition device provided in the embodiment of the present application may also be in contact with the skin at the carotid artery detection area of the user, that is, the heart sound sensor may also acquire a heart sound signal at the carotid artery of the user, and the heart sound signal at the carotid artery may be used for detecting diseases related to the carotid artery.

Alternatively, the surface shape of the base 150 in the embodiment of the present application may be various, and fig. 7 only schematically illustrates that the surface shape of the base 150 is a circle, but the embodiment of the present application is not limited thereto.

For example, the surface shape of the base 150 may also be quadrilateral, polygonal, or other irregular shapes, etc.

Alternatively, the heart sound sensor 110, the electrocardiograph sensor 120, and the fingertip pulse wave sensor 130 may be disposed on the base 150 in various configurations, which is not limited in this embodiment of the application.

As a possible implementation, the heart sound sensor 110 and the first electrode 121 may be disposed on the first surface 151, as shown in fig. 9; the fingertip pulse wave sensor 130 and the second electrode 122 may be disposed on the second surface 152, as shown in fig. 8.

Alternatively, the plurality of sensors on each surface of the base 150 may be independently disposed or nested, which is not limited in this application.

The arrangement of the sensors on the second surface 152 will be described by taking the second surface 152 as an example.

Alternatively, the fingertip pulse wave sensor 130 and the second electrode 122 on the second surface 152 may be independently disposed, as shown in fig. 8; alternatively, the fingertip pulse wave sensor 130 and the second electrode 122 on the second surface 152 may be nested, as shown in fig. 10, the surface of the second electrode 122 is shaped as a circular ring, and the fingertip pulse wave sensor 130 is disposed in the central area of the circular ring.

Alternatively, when the fingertip pulse wave sensor 130 and the second electrode 122 are nested, it may also mean that the surface of the fingertip pulse wave sensor 130 is shaped as a circular ring, and the second electrode 122 is disposed in the central area of the circular ring, and the nested relationship between the two sensors is not limited by the present application.

Optionally, when the fingertip pulse wave sensor 130 and the second electrode 122 are nested, the fingertip pulse wave sensor 130 and the second electrode 122 may be nested tightly, or there may be a gap, which is not limited in this embodiment of the application.

Alternatively, the shapes of the surfaces of the fingertip pulse wave sensor 130 and the second electrode 122 may be various, fig. 8 only schematically illustrates that the shapes of the surfaces of the fingertip pulse wave sensor 130 and the second electrode 122 are circular, fig. 10 only schematically illustrates that the shape of the surface of the second electrode 122 is a circular ring, and the shape of the surface of the fingertip pulse wave sensor 130 is circular, but the embodiment of the present application is not limited thereto.

For example, the shapes of the surfaces of the fingertip pulse wave sensor 130 and the second electrode 122 in fig. 8 may also be quadrangle, polygon, other irregular shapes, or the like.

For another example, the surface shape of the second electrode 122 in fig. 10 may also be a square ring, and the surface shape of the fingertip pulse wave sensor 130 may also be a square (tightly nested); the surface shape of the second electrode 122 may be a circular ring, and the surface shape of the fingertip pulse wave sensor 130 may be a square (with a gap) or the like.

Alternatively, the arrangement positions of the fingertip pulse wave sensor 130 and the second electrode 122 on the second surface 152 may be various, and only two possible arrangement positions are schematically illustrated in fig. 8 and 10, but the embodiment of the present application is not limited thereto.

Alternatively, when the sensor on the second surface 152 is disposed as shown in fig. 8, the second surface 152 may include a first groove 161 and a second groove 162 matching the shape of the finger, wherein the fingertip pulse wave sensor 130 is disposed at the groove bottom region of the first groove 161, and the second electrode 122 is disposed at the groove bottom region of the second groove 162, as shown in fig. 11 (the sensor on the first surface is not shown).

Similarly, when the sensor on the second surface 152 is disposed as shown in fig. 10, the second surface 152 may include a third groove 163 matching the shape of the finger, wherein the fingertip pulse wave sensor 130 and the second electrode 122 are disposed in the groove bottom region of the third groove 163 after being nested, as shown in fig. 12 (the sensor on the first surface is not shown).

It should be noted that the arrangement of the heart sound sensor 110 and the first electrode 151 on the first surface 151 may be as shown in fig. 9, 13 and 14, and for avoiding repetition, the description is omitted here.

For another example, fig. 15 schematically illustrates a structural diagram of an acquisition apparatus 100 for physiological parameters provided in an embodiment of the present application, as shown in fig. 15, the base 150 includes a first surface 151 and a second surface 152, the second surface 152 includes a third groove 163 matched with a finger, the fingertip pulse wave sensor 130 and the second electrode 122 are embedded in a groove bottom region of the third groove 163, and the heart sound sensor 110 and the first electrode 121 are embedded in the first surface 151.

It should be understood that the fingertip pulse wave sensor 130 and the second electrode 122 are disposed on the second surface 152 near the central region, and the heart sound sensor 110 and the first electrode 121 are disposed on the first surface 151 near the central region, which is beneficial to avoid the situation that the base is not in sufficient contact with the skin of the user, which results in noisy collected signals or incomplete waveforms.

Alternatively, the electrocardiograph sensor 120 of the present application may employ a two-electrode measurement circuit or a three-electrode measurement circuit. The two-electrode measurement circuit includes a first electrode 121 (i.e., a working electrode) and a second electrode 122 (i.e., a counter electrode), the polarities of the first electrode 121 and the second electrode 122 being opposite; the three-electrode measurement circuit includes a first electrode 121 (i.e., a working electrode), a second electrode 122 (i.e., a counter electrode), and a third electrode 123 (i.e., a reference electrode), the polarities of the first electrode 121 and the second electrode 122 being opposite, and the third electrode 123 having a predetermined constant potential.

It should be understood that when the electrocardiograph sensor 120 employs a three-electrode measurement circuit, the electrocardiograph signal is obtained through the potential difference between the first electrode 121 and the second electrode 122, and the third electrode 123 has a preset constant point to provide a reference potential for the first electrode 121 and the second electrode 122, so that noise generated in the measurement process can be reduced, and the common mode rejection ratio can be improved.

As another possible implementation, when the heart sensor 120 employs a three-electrode measurement circuit, the heart sound sensor 110 and the first electrode 121 may be disposed on the first surface 151, the fingertip pulse wave sensor 130 and the second electrode 122 may be disposed on the second surface 152, and the third electrode 123 may be disposed on the first surface 151 or the second surface 152.

Alternatively, the different sensors on each surface of the base 150 may be independent from each other, or may be nested together, which is not limited by the embodiments of the present application.

The manner in which the sensors are disposed on the second surface 152 will be described below by taking the example in which the third electrode 123 is disposed on the second surface 152.

Alternatively, the fingertip pulse wave sensor 130, the second electrode 122 and the third electrode 123 on the second surface 152 may be independently provided, as shown in fig. 16; alternatively, the fingertip pulse wave sensor 130, the second electrode 122 and the third electrode 123 on the second surface 152 may be nested, as shown in fig. 17, the surface shapes of the second electrode 122 and the third electrode 123 are both semicircular rings, and the fingertip pulse wave sensor 130 is disposed in the central area surrounded by the two semicircular rings.

Optionally, when the fingertip pulse wave sensor 130, the second electrode 122 and the third electrode 123 are nested, the shapes of the surfaces of the second electrode 122 and the fingertip pulse wave sensor 130 may be semicircular rings, and the third electrode 123 is disposed in a central area surrounded by the two semicircular rings, and the nested relationship between the three sensors is not limited in the present application.

Optionally, when the fingertip pulse wave sensor 130, the second electrode 122 and the third electrode 123 are nested, a semicircular ring formed by the second electrode 122 and the third electrode 123 may be closely nested with the fingertip pulse wave sensor 130, or a gap may exist, which is not limited in this embodiment of the application.

Alternatively, the shapes of the surfaces of the fingertip pulse wave sensor 130, the second electrode 122, and the third electrode 123 may be various, fig. 16 only schematically illustrates that the shapes of the surfaces of the fingertip pulse wave sensor 130, the second electrode 122, and the third electrode 123 are circular, fig. 17 only schematically illustrates that the shapes of the surfaces of the second electrode 122 and the third electrode 123 are semicircular rings, and the shape of the surface of the fingertip pulse wave sensor 130 is circular, but the embodiment of the present application is not limited thereto.

For example, the shapes of the surfaces of the fingertip pulse wave sensor 130, the second electrode 122, and the third electrode 123 in fig. 16 may be a quadrangle, a polygon, or other irregular shapes.

For another example, the surface shapes of the second electrode 122 and the third electrode 123 in fig. 17 may also be half square rings, and the surface shape of the fingertip pulse wave sensor 130 may also be square (tightly nested); the surface shapes of the second electrode 122 and the third electrode 123 may be half square rings, and the surface shape of the fingertip pulse wave sensor 130 may be a circle (with a gap), or the like.

Alternatively, the positions of the fingertip pulse wave sensor 130, the second electrode 122 and the third electrode 123 on the second surface 152 may be various, and only two possible positions are schematically illustrated in fig. 16 and 17, but the embodiment of the present application is not limited thereto.

Similarly, when the sensors on the second surface 152 are arranged as shown in fig. 16, the second surface 152 may include a fourth groove, a fifth groove and a sixth groove matching the shapes of the fingers, wherein the fingertip pulse wave sensor 130 is arranged at the groove bottom region of the fourth groove, the second electrode 122 is arranged at the groove bottom region of the fifth groove, and the third electrode 123 is arranged at the groove bottom region of the sixth groove, and the specific arrangement can refer to fig. 11.

Similarly, when the sensor on the second surface 152 is disposed as shown in fig. 17, the second surface 152 may include a seventh groove matching the shape of the finger, and the fingertip pulse wave sensor 130, the second electrode 122 and the third electrode 123 are disposed in the groove bottom region of the seventh groove after being nested, and the specific disposition can be referred to fig. 12.

It should be noted that, when the third electrode 123 is disposed on the first surface 151, the manner of disposing the heart sound sensor 110, the first electrode 151 and the third electrode 123 on the first surface 151 may be as shown in fig. 18 and fig. 19, and for avoiding repetition, details are not described here again.

It should be understood that the fingertip pulse wave sensor 130 and the second electrode 122 are disposed on the second surface 152 near the central region, and the heart sound sensor 110, the first electrode 121 and the third electrode 123 are disposed on the first surface 151 near the central region, which is beneficial to avoid the situation that the base is not in sufficient contact with the skin of the user, which results in noisy collected signals or incomplete waveforms.

Optionally, the collection device 100 may further include a handle 170, as shown in fig. 20, the handle 170 being disposed on the second surface 152 of the base 150.

Alternatively, the heart sound sensor 110, the cardiac electric sensor 120 and the fingertip pulse wave sensor 130 may be disposed on the base 150 and the handle 170 in various configurations, which is not limited in this embodiment.

As one possible implementation, as shown in fig. 21, when the heart sensor 120 employs a two-electrode measurement circuit, the heart sound sensor 110 and the first electrode 121 may be disposed on the first surface 151; the fingertip pulse wave sensor 130 and the second electrode 122 may be disposed on the grip 170.

The manner in which the sensors are disposed on the handle 170 will be described (the sensors on the first surface 151 are not shown in the figures described below).

Alternatively, the fingertip pulse wave sensor 130 and the second electrode 122 on the grip 170 may be independently provided, as shown in fig. 21 (the sensor on the base 150 is not shown); alternatively, the fingertip pulse wave sensor 130 and the second electrode 122 on the handle 170 may be nested, as shown in fig. 22, wherein the surface shape of the second electrode 122 is a circular ring, and the surface shape of the fingertip pulse wave sensor 130 is a circular ring and is disposed in the central area of the circular ring.

Alternatively, the shapes of the surfaces of the fingertip pulse wave sensor 130 and the second electrode 122 in fig. 21 may also be circular, polygonal, or other irregular shapes; the surface shape of the second electrode 122 in fig. 22 may also be a circular ring, and the surface shape of the fingertip pulse wave sensor 130 may also be a circular shape (closely nested); the surface shape of the second electrode 122 may be a circular ring, and the surface shape of the fingertip pulse wave sensor 130 may be a square (with a gap) or the like.

Alternatively, the arrangement positions of the fingertip pulse wave sensor 130 and the second electrode 122 on the handle 170 may be various, and only two possible arrangement positions are schematically illustrated in fig. 21 and 22, but the embodiment of the present application is not limited thereto.

Alternatively, when the sensors on the handle 170 are arranged as shown in fig. 21, the handle 170 may include an eighth groove 164 and a ninth groove 165 matching the shapes of the fingers, wherein the fingertip pulse wave sensor 130 is arranged at the groove bottom region of the eighth groove 164, and the second electrode 122 is arranged at the groove bottom region of the ninth groove 165, as shown in fig. 23.

Similarly, when the sensor on the handle 170 is disposed as shown in fig. 22, the handle 170 may include a tenth groove 166 matching the shape of the finger, wherein the fingertip pulse wave sensor 130 and the second electrode 122 are disposed in the groove bottom region of the tenth groove 166 after being nested, as shown in fig. 24.

As another possible implementation manner, when the cardiac sensor 120 employs a three-electrode measurement circuit, the cardiac sound sensor 110 and the first electrode 121 may be disposed on the first surface 151, the fingertip pulse wave sensor 130 and the second electrode 122 may be disposed on the handle 170, and the third electrode 123 may be disposed on the first surface 151 or the handle 170.

Alternatively, the setting position of the output end 140 may be multiple, and this is not limited in this embodiment of the application.

For example, the output end 140 may be disposed on the first surface 151, the second surface 152, an inner cavity formed between the first surface 151 and the second surface 152, an inner portion of a handle body of the handle 170, and the like, which is not limited in the embodiments of the present application.

It should be noted that the above-mentioned acquisition device for physiological parameters may be used in combination with a processing device for physiological parameters, where the processing device is configured to receive the heart sound signal, the electrocardiograph signal, and the fingertip pulse wave signal sent by the acquisition device, and process the heart sound signal, the electrocardiograph signal, and the fingertip pulse wave signal by using the processing method for physiological parameters (described in detail below) provided by the present application, so as to obtain risk information of coronary heart disease suffered by the user, where the risk information is used to indicate the risk of suffering from coronary heart disease of the user, and finally output the risk information to the user.

Optionally, the acquisition device and the processing device may be independent devices, or the acquisition device and the processing device may be integrated as a functional module in one device, which is not limited in this embodiment of the present application.

As a possible implementation manner, the acquisition device and the processing device are two independent devices, and the processing device can receive the heart sound signal, the electrocardio signal and the fingertip pulse wave signal sent by the acquisition device through a communication network.

It should be noted that the communication network may be a local area network, a wide area network switched by a relay (relay) device, or a local area network and a wide area network. When the communication network is a local area network, the communication network may be a wifi hotspot network, a wifi P2P network, a bluetooth network, a zigbee network, or a Near Field Communication (NFC) network, for example. When the communication network is a wide area network, the communication network may be, for example, a third-generation wireless telephone technology (3G) network, a fourth-generation mobile communication technology (4G) network, a fifth-generation mobile communication technology (5G) network, a Public Land Mobile Network (PLMN) for future evolution, the internet, or the like, which is not limited in the embodiment of the present application.

Optionally, the output end 140 of the physiological parameter collecting device 100 may be an antenna, and the physiological parameter processing device may be a device with computing and processing functions, for example, a terminal device, a wearable device, and the like, which is not limited in this embodiment of the present application.

It should be further noted that the terminal device, which may also be referred to as a User Equipment (UE), in the present application may be deployed on a land, including indoors or outdoors, handheld or vehicle-mounted; can also be deployed on the water surface (such as a ship and the like); and may also be deployed in the air (e.g., airplanes, balloons, satellites, etc.). The terminal device may be a mobile phone (mobile phone), a tablet computer (pad), a wearable device with a wireless communication function (e.g., a smart watch), a location tracker with a positioning function, a computer with a wireless transceiving function, a Virtual Reality (VR) device, an Augmented Reality (AR) device, a wireless device in industrial control (industrial control), a wireless device in self driving (self driving), a wireless device in remote medical (remote medical), a wireless device in smart grid (smart grid), a wireless device in transportation safety (transportation safety), a wireless device in smart city (smart city), a wireless device in smart home (smart home), and the like, which are not limited in the embodiments of the present application.

Taking the terminal device as a mobile phone as an example, fig. 25 shows a schematic structural diagram of the mobile phone 200.

The mobile phone 200 may include a processor 210, an external memory interface 220, an internal memory 221, a USB interface 230, a charging management module 240, a power management module 241, a battery 242, an antenna 1, an antenna 2, a mobile communication module 251, a wireless communication module 252, an audio module 270, a speaker 270A, a receiver 270B, a microphone 270C, an earphone interface 270D, a sensor module 280, keys 290, a motor 291, an indicator 292, a camera 293, a display 294, a SIM card interface 295, and the like. The sensor module 280 may include a gyroscope sensor 280A, an acceleration sensor 280B, a proximity light sensor 280G, a fingerprint sensor 280H, a touch sensor 280K, and a rotation axis sensor 280M (of course, the mobile phone 200 may further include other sensors, such as a temperature sensor, a pressure sensor, a distance sensor, a magnetic sensor, an ambient light sensor, an air pressure sensor, a bone conduction sensor, and the like, which are not shown in the figure).

It is to be understood that the illustrated structure of the embodiment of the present application does not specifically limit the mobile phone 200. In other embodiments of the present application, handset 200 may include more or fewer components than shown, or some components may be combined, some components may be split, or a different arrangement of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

Processor 210 may include one or more processing units, such as: the processor 210 may include an Application Processor (AP), a modem processor, a Graphics Processing Unit (GPU), an Image Signal Processor (ISP), a controller, a memory, a video codec, a Digital Signal Processor (DSP), a baseband processor, and/or a Neural-Network Processing Unit (NPU), etc. The different processing units may be separate devices or may be integrated into one or more processors. Wherein the controller can be the neural center and the command center of the cell phone 200. The controller can generate an operation control signal according to the instruction operation code and the timing signal to complete the control of instruction fetching and instruction execution.

A memory may also be provided in processor 210 for storing instructions and data. In some embodiments, the memory in the processor 210 is a cache memory. The memory may hold instructions or data that have just been used or recycled by processor 210. If the processor 210 needs to use the instruction or data again, it can be called directly from the memory. Avoiding repeated accesses reduces the latency of the processor 210, thereby increasing the efficiency of the system.

The processor 210 can operate the processing method of the physiological parameters (described in detail below) provided by the present application, and process the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal to obtain the risk information of the user suffering from coronary heart disease, thereby realizing the detection of the risk of the user suffering from coronary heart disease. When the processor 210 integrates different devices, such as a CPU and a GPU, the CPU and the GPU may cooperate to execute the processing method provided by the embodiments of the present application, for example, part of the algorithm of the processing method is executed by the CPU, and another part of the algorithm is executed by the GPU, so as to obtain faster processing efficiency.

The display screen 294 is used to display images, video, and the like. The display screen 294 includes a display panel. The display panel may adopt a Liquid Crystal Display (LCD), an organic light-emitting diode (OLED), an active-matrix organic light-emitting diode (active-matrix organic light-emitting diode, AMOLED), a flexible light-emitting diode (FLED), a miniature, a Micro-oeld, a quantum dot light-emitting diode (QLED), and the like. In some embodiments, the cell phone 200 may include 1 or N display screens 294, N being a positive integer greater than 1.

The cameras 293 (front camera or rear camera, or one camera may be used as both front camera and rear camera) are used for capturing still images or video. In general, the camera 293 may include a photosensitive element such as a lens group including a plurality of lenses (convex or concave lenses) for collecting an optical signal reflected by an object to be photographed and transferring the collected optical signal to an image sensor, and an image sensor. And the image sensor generates an original image of the object to be shot according to the optical signal.

Internal memory 221 may be used to store computer-executable program code, including instructions. The processor 210 executes various functional applications of the handset 200 and signal processing by executing instructions stored in the internal memory 221. The internal memory 221 may include a program storage area and a data storage area. Wherein the storage program area may store an operating system, codes of application programs (such as a camera application, a WeChat application, etc.), and the like. The data storage area can store data (such as images, videos and the like acquired by a camera application) and the like created in the use process of the mobile phone 200.

The internal memory 221 may further store codes of the anti-false touch algorithm provided by the embodiment of the present application. When the code of the anti-false touch algorithm stored in the internal memory 321 is executed by the processor 210, the touch operation during the folding or unfolding process may be masked.

In addition, the internal memory 221 may include a high-speed random access memory, and may further include a nonvolatile memory, such as at least one magnetic disk storage device, a flash memory device, a universal flash memory (UFS), and the like.

Of course, the code of the algorithm for implementing video editing provided by the embodiment of the present application may also be stored in the external memory. In this case, the processor 210 may edit the video by running the code of the algorithm stored in the external memory through the external memory interface 220.

The function of the sensor module 280 is described below.

The gyro sensor 280A may be used to determine the motion attitude of the cellular phone 200. In some embodiments, the angular velocity of the cell phone 200 about three axes (i.e., x, y, and z axes) may be determined by the gyro sensor 280A. I.e., the gyro sensor 280A may be used to detect the current state of motion of the handset 200, such as shaking or standing still.

The acceleration sensor 280B can detect the magnitude of acceleration of the cellular phone 200 in various directions (typically three axes). I.e., the gyro sensor 280A may be used to detect the current state of motion of the handset 200, such as shaking or standing still.

The proximity light sensor 380G may include, for example, a Light Emitting Diode (LED) and a light detector, such as a photodiode. The light emitting diode may be an infrared light emitting diode. The mobile phone emits infrared light outwards through the light emitting diode. The handset uses a photodiode to detect infrared reflected light from nearby objects. When sufficient reflected light is detected, it can be determined that there is an object near the handset. When insufficient reflected light is detected, the handset can determine that there are no objects near the handset.

The gyro sensor 280A (or the acceleration sensor 280B) may transmit the detected motion state information (such as an angular velocity) to the processor 210. The processor 210 determines whether the mobile phone 200 is currently in the hand-held state or the tripod state (for example, when the angular velocity is not 0, it indicates that the mobile phone 200 is in the hand-held state) based on the motion state information.

The fingerprint sensor 280H is used to collect a fingerprint. The mobile phone 200 can utilize the collected fingerprint characteristics to realize fingerprint unlocking, access to an application lock, fingerprint photographing, fingerprint incoming call answering and the like.

The touch sensor 280K is also referred to as a "touch panel". The touch sensor 280K may be disposed on the display screen 294, and the touch sensor 280K and the display screen 294 form a touch screen, which is also called a "touch screen". The touch sensor 280K is used to detect a touch operation applied thereto or nearby. The touch sensor can communicate the detected touch operation to the application processor to determine the touch event type. Visual output related to touch operations may be provided through the display screen 294. In other embodiments, the touch sensor 280K can be disposed on the surface of the mobile phone 200 at a different location than the display 294.

Illustratively, the display 294 of the cell phone 200 displays a home interface that includes icons for a plurality of applications (e.g., a camera application, a WeChat application, etc.). The user clicks an icon of the camera application in the main interface through the touch sensor 280K, and the processor 210 is triggered to start the camera application and open the camera 293. Display screen 294 displays an interface, such as a viewfinder interface, for a camera application.

The wireless communication function of the mobile phone 200 can be implemented by the antenna 1, the antenna 2, the mobile communication module 251, the wireless communication module 252, the modem processor, the baseband processor, and the like.

The antennas 1 and 2 are used for transmitting and receiving electromagnetic wave signals. Each antenna in the handset 200 may be used to cover a single or multiple communication bands. Different antennas can also be multiplexed to improve the utilization of the antennas. For example: the antenna 1 may be multiplexed as a diversity antenna of a wireless local area network. In other embodiments, the antenna may be used in conjunction with a tuning switch.

The mobile communication module 251 can provide a solution including 2G/3G/4G/5G wireless communication applied to the handset 200. The mobile communication module 251 may include at least one filter, a switch, a power amplifier, a Low Noise Amplifier (LNA), and the like. The mobile communication module 251 can receive electromagnetic waves from the antenna 1, and filter, amplify, etc. the received electromagnetic waves, and transmit the electromagnetic waves to the modem processor for demodulation. The mobile communication module 251 can also amplify the signal modulated by the modem processor, and convert the signal into electromagnetic wave through the antenna 1 to radiate the electromagnetic wave. In some embodiments, at least part of the functional modules of the mobile communication module 351 may be provided in the processor 210. In some embodiments, at least some of the functional modules of the mobile communication module 351 may be provided in the same device as at least some of the modules of the processor 210.

The modem processor may include a modulator and a demodulator. The modulator is used for modulating a low-frequency baseband signal to be transmitted into a medium-high frequency signal. The demodulator is used for demodulating the received electromagnetic wave signal into a low-frequency baseband signal. The demodulator then passes the demodulated low frequency baseband signal to a baseband processor for processing. The low frequency baseband signal is processed by the baseband processor and then transferred to the application processor. The application processor outputs sound signals through an audio device (not limited to the speaker 270A, the receiver 270B, etc.) or displays images or video through the display screen 294. In some embodiments, the modem processor may be a stand-alone device. In other embodiments, the modem processor may be separate from the processor 310 and may be disposed in the same device as the mobile communication module 351 or other functional modules.

The wireless communication module 252 may provide solutions for wireless communication applied to the mobile phone 200, including Wireless Local Area Networks (WLANs) (e.g., wireless fidelity (Wi-Fi) networks), Bluetooth (BT), Global Navigation Satellite System (GNSS), Frequency Modulation (FM), Near Field Communication (NFC), Infrared (IR), and the like. The wireless communication module 252 may be one or more devices that integrate at least one communication processing module. The wireless communication module 352 receives electromagnetic waves via the antenna 2, performs frequency modulation and filtering processing on electromagnetic wave signals, and transmits the processed signals to the processor 210. The wireless communication module 252 may also receive a signal to be transmitted from the processor 210, perform frequency modulation and amplification on the signal, and convert the signal into electromagnetic waves through the antenna 2 to radiate the electromagnetic waves.

In some embodiments, antenna 1 of handset 200 is coupled to mobile communication module 251 and antenna 2 is coupled to wireless communication module 252 so that handset 200 can communicate with networks and other devices via wireless communication techniques. The wireless communication technology may include global system for mobile communications (GSM), General Packet Radio Service (GPRS), code division multiple access (code division multiple access, CDMA), Wideband Code Division Multiple Access (WCDMA), time-division code division multiple access (time-division code division multiple access, TD-SCDMA), Long Term Evolution (LTE), LTE, BT, GNSS, WLAN, NFC, FM, and/or IR technologies, etc. The GNSS may include a Global Positioning System (GPS), a global navigation satellite system (GLONASS), a beidou navigation satellite system (BDS), a quasi-zenith satellite system (QZSS), and/or a Satellite Based Augmentation System (SBAS).

In addition, the mobile phone 200 can implement an audio function through the audio module 270, the speaker 270A, the receiver 270B, the microphone 270C, the earphone interface 270D, and the application processor. Such as music playing, recording, etc. The handset 200 may receive key 290 inputs, generating key signal inputs relating to user settings and function control of the handset 200. The cell phone 200 can generate a vibration alert (e.g., an incoming call vibration alert) using the motor 291. The indicator 292 in the mobile phone 200 may be an indicator light, and may be used to indicate a charging status, a power change, or an indication message, a missed call, a notification, or the like. The SIM card interface 295 in the handset 200 is used to connect a SIM card. The SIM card can be attached to and detached from the mobile phone 200 by being inserted into the SIM card interface 295 or being pulled out from the SIM card interface 295.

It should be understood that in practical applications, the mobile phone 200 may include more or less components than those shown in fig. 25, and the embodiment of the present application is not limited thereto.

As another possible implementation manner, the acquisition device and the processing device may be integrated as two functional modules in the same device, for example, a coronary heart disease measurement device, and the processing device may receive the heart sound signal, the electrocardiograph signal, and the fingertip pulse wave signal sent by the acquisition device through an internal bus.

Alternatively, the output 140 of the acquisition apparatus 100 may be an interface of an internal bus.

Optionally, the coronary heart disease measurement device in this embodiment of the application may be a wearable device, also referred to as a wearable smart device, and is a generic term for applying a wearable technology to intelligently design daily wearing and develop wearable devices, such as glasses, gloves, watches, clothing, shoes, and the like. A wearable device is a portable device that is worn directly on the body or integrated into the clothing or accessories of the user. The wearable device is not only a hardware device, but also realizes powerful functions through software support, data interaction and cloud interaction. The generalized wearable intelligent device has the advantages that the generalized wearable intelligent device is complete in function and large in size, can realize complete or partial functions without depending on a smart phone, such as a smart watch or smart glasses, and only concentrates on a certain application function, and needs to be matched with other devices such as the smart phone for use, such as various intelligent bracelets, intelligent jewelry, patches and the like for physical sign monitoring, and the embodiment of the application is not limited to the generalized wearable intelligent device.

In a possible design, when the acquisition means and the processing means are two separate devices, the processing means may be replaced by a chip means, for example a communication chip that may be used in the apparatus, for implementing the relevant functions of the processor in the apparatus. The chip device can be a field programmable gate array, a special integrated chip, a system chip, a central processing unit, a network processor, a digital signal processing circuit and a microcontroller for realizing related functions, and can also adopt a programmable controller or other integrated chips. The chip may optionally include one or more memories for storing program code that, when executed, causes the processor to implement corresponding functions.

Alternatively, the chip device may be the above terminal device, for example, a chip device in a mobile phone.

The physiological parameter acquisition device and the physiological parameter processing device provided by the embodiment of the present application are described above with reference to fig. 6 to 25. A method 300 for processing physiological parameters according to an embodiment of the present application will be described with reference to fig. 26.

Fig. 26 shows a schematic flow chart of a processing method 300 for physiological parameters provided by the embodiment of the present application. It is understood that the processing method 300 may be performed by a processing device of physiological parameters.

And S310, acquiring the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal of the user.

Optionally, the processing device may acquire the heart sound signal, the cardiac signal, and the fingertip pulse wave signal in various ways, which is not limited in this embodiment of the present application.

As a possible implementation manner, the processing device may receive the heart sound signal, the cardiac signal, and the fingertip pulse wave signal sent by the collecting device.

For example, the acquisition device acquires a heart sound signal, an electrocardiosignal and the fingertip pulse wave signal; and sending the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal to the processing device; correspondingly, the processing device receives the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal which are sent by the acquisition device.

As another possible implementation manner, the processing device may acquire the heart sound signal, the cardiac signal, and the fingertip pulse wave signal of the user by itself.

S320, determining risk information of the user according to the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal, wherein the risk information is used for indicating the risk of coronary heart disease of the user.

Specifically, S320 may include the steps of:

step 1: from the heart sound signal, sensitive features of the heart sound signal and a signal quality of the heart sound signal are determined.

As a possible implementation, when the sensitive feature of the heart sound signal is the high frequency partial spectral energy sum, the high frequency partial spectral energy sum of the heart sound signal can be determined by equation (1).

As a possible implementation, the signal quality of the heart sound signal may be determined by equation (7) and equation (8):

wherein E is the expected value, X_iIs the signal value at i (e.g., heart sound signal amplitude), μ is the expected value at i, σ 2 is the variance of the signal, r_{k_*}Is a heart sound signal.

As a possible implementation mode, the relevance of the three signals and the coronary heart disease morbidity risk can be evaluated by collecting fingertip pulse waves, heart sounds and electrocardiosignals of a coronary heart disease patient and a normal user, so that the contribution degree of the coronary heart disease patient is determined.

Step 2: and determining the sensitive characteristics of the electrocardiosignals and the signal quality of the electrocardiosignals according to the electrocardiosignals.

As a possible implementation manner, when the sensitive feature of the cardiac signal is the pulse wave transit time, the pulse wave transit time of the cardiac signal can be determined by the above formula (6).

As a possible implementation manner, the signal quality of the electrocardiosignal can be determined by formula (7) and formula (8), wherein r_{k_*}Is an electrocardiosignal.

And step 3: and determining the sensitive characteristics of the fingertip pulse wave signals and the signal quality of the fingertip pulse wave signals according to the fingertip pulse wave signals.

As a possible implementation, the sensitive characteristic of the fingertip pulse wave signal may be at least one of a normalized peak time, a peak ratio, a stiffness index, and a reflection index.

For example, when the sensitivity characteristic of the fingertip pulse wave signal is normalized peak time, peak ratio, stiffness index, or reflection index, it can be determined by the above equations (2) to (5).

As a possible implementation, the signal quality of the fingertip pulse wave signal may be determined by formula (7) and formula (8), where r_{k_*}Is the fingertip pulse wave signal.

And 4, step 4: and determining the risk information of the user according to the sensitive characteristics of the heart sound signals, the signal quality of the heart sound signals, the sensitive characteristics of the electrocardio signals, the signal quality of the electrocardio signals, the sensitive characteristics of the fingertip pulse wave signals and the signal quality of the fingertip pulse wave signals.

In a possible implementation manner, the risk information of the user may be determined according to the sensitive feature of the heart sound signal, a preset first mapping relationship, the signal quality of the heart sound signal, the contribution degree of the heart sound signal to the coronary heart disease prediction, the sensitive feature of the electrocardio signal, a preset second mapping relationship, the signal quality of the electrocardio signal, the contribution degree of the electrocardio signal to the coronary heart disease prediction, the sensitive feature of the fingertip pulse wave signal, a preset third mapping relationship, the signal quality of the fingertip pulse wave signal, and the contribution degree of the fingertip pulse wave signal to the coronary heart disease prediction.

It should be noted that the first mapping relationship is used to represent a corresponding relationship between the sensitive features of the heart sound signals and the risk of coronary heart disease.

For example, the first mapping relationship may be represented by equation (9):

f_pcg(S_pcg)＝g(S_power) Formula (9)

Wherein S is_pcgRepresenting a heart sound signal, S_powerRepresenting the spectral energy of the high-frequency part of a heart soundThe sum, g, represents a normalization function, such as a sigmoid function.

It should be further noted that the second mapping relationship is used to represent a corresponding relationship between the sensitive characteristic of the cardiac electrical signal and the risk of coronary heart disease.

For example, the second mapping relationship may be represented by equation (10):

f_ecg(S_ecg)＝g(T_PTT) Formula (10)

It should be further noted that the third mapping relationship is used to represent a corresponding relationship between the sensitive feature of the fingertip pulse wave signal and the coronary heart disease risk.

For example, the third mapping relationship may be represented by equation (11):

For example, the electrocardiosignals, the heart sound signals and the fingertip pulse wave signals of 50 coronary heart disease patients and 50 normal people are counted, wherein the accuracy of predicting whether the coronary heart disease is suffered is 70% only through the fingertip pulse wave signals, the accuracy of predicting whether the coronary heart disease is suffered is 50% only through the heart sound signals, the accuracy of predicting whether the coronary heart disease is suffered is 80% only through the electrocardiosignals,therefore, the contribution degree w of the fingertip pulse wave signal can be obtained_ppgIs 0.7, and the contribution degree of the heart sound signal is w_pcg0.5, the contribution degree w of the electrocardiosignal_ecgIs 0.8.

It should be further noted that the risk information R in step 4 can be determined by formula (12):

and S330, outputting the risk information.

Optionally, the processing device may output the risk information in a plurality of ways, which is not limited in this embodiment of the application.

In one possible implementation, the processing device may include a display screen through which the risk information is displayed to the user.

For example, output "your coronary heart disease onset risk is 20%" on the display screen.

In another possible implementation, the processing means may comprise a motor, and the risk information is output to the user by controlling the motor to vibrate.

For example, when the R value exceeds a first preset value, for example, 50%, the motor is controlled to vibrate.

In yet another possible implementation, the processing device may include an indicator light, and the risk information is output to the user by controlling the color or brightness of the indicator light.

For example, when the R value is lower than a second preset value, for example, 20%, the control indicator lamp is green; when the R value is higher than a third preset value, for example, 70%, the indicator lamp is controlled to be red; and when the R value is between the second preset value and the third preset value, the indicator lamp is controlled to be yellow.

For another example, when the R value is higher than the third preset value, the indicator lamp is controlled to be turned on.

The embodiment of the present application will be described in detail below with reference to the accompanying drawings and specific application scenarios, where as shown in fig. 27, the method 400 for processing a physiological parameter provided by the embodiment of the present application is specifically described as follows.

It should be noted that, in the following flow, the acquisition device and the processing device are taken as independent devices as an example, and a flow for acquiring and processing signals when the acquisition device and the processing device are used in combination is described in detail.

The collecting device is a structure with a handle as an example, and the processing device is a mobile phone as an example.

And S410, the acquisition device establishes connection with the processing device through Bluetooth.

And S420, the acquisition device receives the measurement instruction of the user and enters a measurement mode.

Optionally, prior to S420, the user pinches the acquisition device with a thumb and forefinger and contacts the first surface of the acquisition device with the skin at the cardiac test site, as shown in fig. 28.

Optionally, the acquisition device may acquire the measurement instruction in a plurality of ways, which is not limited in this application.

For example, the mobile phone presents a display interface as shown in fig. 29 to the user, and when the user clicks "start measurement", the acquisition device of the physiological parameter acquires a measurement instruction of the user.

For another example, when the user keeps the finger in contact with the skin at the heart test point and the corresponding sensor on the acquisition device for more than a preset time (for example, 2 seconds), the acquisition device acquires the measurement instruction of the user.

And S430, measuring the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal of the user by the acquisition device according to the measurement instruction.

For example, the handset may present a display interface to the user as shown in fig. 30 and begin acquiring signals.

S440, the acquisition device transmits the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal to the mobile phone through Bluetooth.

Optionally, before S440, the collecting device may obtain a transmission instruction, and transmit the heart sound signal, the cardiac signal, and the fingertip pulse wave signal to the mobile phone according to the transmission instruction.

For example, the mobile phone may present a display interface as shown in fig. 31 to the user, when the user clicks "start transmission", the acquisition device acquires a transmission instruction of the user, and the acquisition device transmits the heart sound signal, the electrocardiograph signal, and the fingertip pulse wave signal to the mobile phone according to the transmission instruction.

S450, the mobile phone determines the risk information of the user according to the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal.

For example, the signal quality of the heart sound signal, the electrocardio signal and the fingertip pulse wave signal calculated by the mobile phone according to the formula (7) and the formula (8) is respectively 0.6, 0.1 and 0.3; according to the early big data analysis, the contribution degrees of the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal are respectively 0.5, 0.2 and 0.3; the coronary heart disease prediction risk values of the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal are respectively 0.25, 0.4 and 0.3 through the formula (9), the formula (10) and the formula (11); the final risk information is calculated by the above formula (12):

R＝0.6×0.5×0.25/0.41+0.1×0.2×0.4/0.41+0.3×0.3×0.3/0.41＝0.27。

and S460, the mobile phone presents the risk information to the user through the display interface of the display.

For example, the cell phone may present a display interface as shown in fig. 32 to the user.

Optionally, the method further comprises: and displaying the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal to a user through the display interface.

For example, the cell phone may present a display interface as shown in fig. 33 to the user.

Optionally, the method further comprises: and when the risk information is larger than or equal to a preset threshold value, displaying prompt information to the user through the display interface, wherein the prompt information comprises information for reminding the user of seeking medical advice and/or information for reminding the user of attention.

For example, when the risk information is greater than or equal to 70%, the cell phone may present a display interface as shown in fig. 34 to the user.

Alternatively, as shown in fig. 35, the display interface may include an instruction area including at least one of a first aid instruction area for acquiring a first aid instruction of the user, a contact emergency contact instruction area for acquiring a contact emergency contact instruction of the user, a disease registration instruction area for acquiring a registered disease instruction of the user, and a medical instruction area for acquiring a medical registration instruction of the user, the method further including: the mobile phone acquires a target instruction sent by the user through the instruction area, wherein the target instruction comprises at least one of the emergency instruction, the emergency contact instruction and the hospitalizing registration instruction; and performing an operation corresponding to the target instruction, the first aid instruction corresponding to dialing 110, the contact emergency contact instruction corresponding to dialing an emergency contact phone, the registration disease instruction corresponding to registering a medical condition with a hospital, and the hospitalization registration instruction corresponding to online hospitalization registration.

In one possible implementation, as shown in fig. 28, the user pinches the acquisition device with the thumb and forefinger and brings the first surface of the acquisition device into contact with the skin at the cardiac test site, at which point the acquisition device is ready to measure, and the cell phone presents a display interface as shown in fig. 29; the user clicks 'start measurement', the acquisition device starts measuring the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal, and the mobile phone presents a display interface shown in fig. 30 to the user; when the acquisition device finishes measurement, the mobile phone presents a display interface as shown in fig. 31; the user clicks 'start transmission', and the acquisition device starts to transmit the measured heart sound signals, the electrocardiosignals and the fingertip pulse wave signals to the mobile phone; the mobile phone receives the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal, processes the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal to obtain risk information, and presents any display interface in the figures 32 to 35 to a user.

Some possible display interfaces of the present application are provided only schematically, but the present application is not limited to this, and the display interfaces of the present application may also prompt other information to the user or provide other operable interfaces for the user.

The embodiment of the present application will be described in detail below with reference to the drawings and specific application scenarios, where another method 500 for processing a physiological parameter provided by the embodiment of the present application is described as shown in fig. 36, and specific steps are as follows.

It should be noted that, in the following process, the collecting device and the processing device are integrated in the same device, for example, a coronary heart disease measuring device is taken as an example, and a process of collecting and processing signals when the coronary heart disease measuring device is used is described in detail.

S510, a measurement instruction of a user is obtained, and a measurement mode is entered.

Alternatively, before S510, the user presses the upper surface of the coronary heart disease measuring device with the index finger and the middle finger and contacts the lower surface of the coronary heart disease measuring device with the skin at the heart test point, as shown in fig. 37 and 38.

It should be noted that fig. 37 and 38 only show the portions related to the functions of the present application, and the coronary heart disease testing apparatus may further include other hardware (not shown in the figures).

Optionally, the coronary heart disease measurement device may obtain the measurement instruction in various ways, which is not limited in the embodiment of the present application.

For example, the coronary heart disease measurement apparatus presents a display interface as shown in fig. 37 to the user, and when the user presses the "measurement" button, the coronary heart disease measurement apparatus acquires a measurement instruction of the user.

For another example, when the user keeps the contact time between the finger and the skin at the heart test point and the corresponding sensor on the coronary heart disease measuring device longer than a preset time (for example, 2 seconds), the coronary heart disease measuring device acquires the measurement instruction of the user.

And S520, measuring the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal of the user according to the measurement command.

For example, the top surface of the coronary heart disease measurement device may present a display interface to the user as shown in fig. 39 and begin acquiring signals.

S530, determining risk information of the user according to the heart sound signal, the electrocardio signal and the fingertip pulse wave signal.

For example, the signal qualities of the heart sound signal, the electrocardio signal and the fingertip pulse wave signal calculated by the above equations (7) and (8) are respectively 0.6, 0.1 and 0.3; according to the early big data analysis, the contribution degrees of the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal are respectively 0.5, 0.2 and 0.3; the coronary heart disease prediction risk values of the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal are respectively 0.25, 0.4 and 0.3 through the formula (9), the formula (10) and the formula (11); the final risk information is calculated by the above formula (12):

R＝0.6×0.5×0.25/0.41+0.1×0.2×0.4/0.41+0.3×0.3×0.3/0.41＝0.27。

and S540, presenting the risk information to the user through the display interface.

For example, a display interface as shown in fig. 37 may be presented to the user.

In one possible implementation, as shown in fig. 37 and 38, the user presses the upper surface of the coronary heart disease measurement device with the index finger and the middle finger and brings the lower surface of the coronary heart disease measurement device into contact with the skin at the heart test point, at which time the coronary heart disease measurement device is ready to measure and presents a display interface as shown in fig. 37; the user clicks 'start measurement', the coronary heart disease measurement device starts measuring heart sound signals, electrocardiosignals and fingertip pulse wave signals, and the mobile phone presents a display interface shown in fig. 39 to the user; after the coronary heart disease measuring device finishes measuring, the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal are processed to obtain risk information, and a display interface shown in figure 40 is presented to a user.

It should be noted that, for the content displayed on the display interface of the display of the coronary heart disease measurement apparatus, reference may be made to fig. 32 to fig. 35, and details are not repeated here to avoid repetition.

The method for processing physiological parameters provided by the embodiment of the present application is described in detail above with reference to the accompanying drawings, and a device for processing physiological parameters and a device for acquiring physiological parameters provided by the embodiment of the present application are described below.

Fig. 41 shows a schematic block diagram of a processing device 600 for physiological parameters provided by an embodiment of the present application. The processing apparatus 600 may correspond to the processing apparatuses (or terminal devices) described in the processing method 300, the processing method 400, and the processing method 500, and each module or unit in the processing apparatus 600 is respectively used for executing each action and processing procedure executed by the processing apparatuses (or terminal devices) in the processing method 300, the processing method 400, and the signal processing 500, and here, detailed descriptions thereof are omitted to avoid redundancy. The processing device 600 comprises an acquisition unit 610, a processing unit 620 and an output unit 630.

The obtaining unit 610 is configured to obtain a heart sound signal, an electrocardiograph signal, and a fingertip pulse wave signal.

The processing unit 620 is configured to determine risk information of the user according to the heart sound signal, the electrocardiograph signal, and the fingertip pulse wave signal acquired by the acquiring unit 610, where the risk information is used to indicate a risk of coronary heart disease.

The output unit 630 is configured to output the risk information determined by the processing unit 620.

Fig. 42 shows a schematic block diagram of an acquisition apparatus 700 for physiological parameters provided by an embodiment of the present application. The collecting device 700 may correspond to the collecting device 100 in fig. 6, and each module or unit in the collecting device 700 is respectively configured to execute each action and process performed by the collecting device 100. The acquisition apparatus 700 includes an acquisition unit 710 and a transmission unit 720.

The acquisition unit 710 is used for acquiring heart sound signals, electrocardiosignals and fingertip pulse wave signals.

The transmitting unit 720 is configured to transmit the heart sound signal, the electrocardiograph signal, and the fingertip pulse wave signal to a processing device.

The acquisition unit 710 in fig. 42 corresponds to the heart sound sensor 110, the electrocardiograph sensor 120, and the fingertip pulse wave sensor 130 in fig. 6, and the transmission unit 720 in fig. 42 corresponds to the output terminal 140 in fig. 6.

Through the above description of the embodiments, it is clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.

Each functional unit in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially implemented or make a contribution to the prior art, or all or part of the technical solutions may be implemented in the form of a software product stored in a storage medium and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) or a processor to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: flash memory, removable hard drive, read only memory, random access memory, magnetic or optical disk, and the like.

The above description is only a specific implementation of the embodiments of the present application, but the scope of the embodiments of the present application is not limited thereto, and any changes or substitutions within the technical scope disclosed in the embodiments of the present application should be covered by the scope of the embodiments of the present application. Therefore, the protection scope of the embodiments of the present application shall be subject to the protection scope of the claims.

Claims

1. A coronary heart disease detection device, comprising: the device comprises a collecting device and a processor, wherein the collecting device comprises a heart sound sensor, an electrocardio sensor, a fingertip pulse wave sensor and an output end;

the heart sound sensor is used for acquiring heart sound signals and sending the heart sound signals to the processor;

the electrocardio sensor is used for acquiring electrocardiosignals and sending the electrocardiosignals to the processor;

the fingertip pulse wave sensor is used for collecting a fingertip pulse wave signal and sending the fingertip pulse wave signal to the processor;

the processor is used for determining sensitive characteristics of the heart sound signal and signal quality of the heart sound signal according to the heart sound signal; according to the electrocardiosignals, determining the sensitive characteristics of the electrocardiosignals and the signal quality of the electrocardiosignals; determining the sensitive characteristics of the fingertip pulse wave signals and the signal quality of the fingertip pulse wave signals according to the fingertip pulse wave signals; determining risk information of a user according to the sensitive characteristic of the heart sound signal, a preset first mapping relation, the signal quality of the heart sound signal, the contribution degree of the heart sound signal to coronary heart disease prediction, the sensitive characteristic of the electrocardiosignal, a preset second mapping relation, the signal quality of the electrocardiosignal, the contribution degree of the electrocardiosignal to coronary heart disease prediction, the sensitive characteristic of the fingertip pulse wave signal, a preset third mapping relation, the signal quality of the fingertip pulse wave signal and the contribution degree of the fingertip pulse wave signal to coronary heart disease prediction, wherein the risk information is used for indicating the risk of coronary heart disease of the user, the first mapping relation is used for indicating the corresponding relation between the sensitive characteristic of the heart sound signal and the risk of coronary heart disease, and the second mapping relation is used for indicating the corresponding relation between the sensitive characteristic of the electrocardiosignal and the risk of coronary heart disease, the third mapping relation is used for representing the corresponding relation between the sensitive characteristics of the fingertip pulse wave signals and the coronary heart disease suffering risk; sending the risk information to the output end;

the output end is used for outputting the risk information.

2. The apparatus of claim 1, wherein the sensitivity characteristic of the heart sound signal comprises high frequency partial spectral energy; the sensitive characteristics of the fingertip pulse wave signal comprise at least one of normalized peak time, peak ratio, hardening index and reflection index; the sensitive characteristic of the electrocardiosignal comprises pulse wave conduction time.

3. The apparatus of claim 1 or 2, wherein the output comprises a display,

the display is specifically configured to display the risk information to the user through a display interface.

4. The apparatus of claim 3,

the display is further used for displaying the heart sound signal, the electrocardiosignal and the fingertip pulse wave signal to the user through a display interface.

5. The apparatus according to claim 3 or 4,

the display is further used for displaying prompt information to the user through a display interface when the risk information is larger than or equal to a preset threshold value, wherein the prompt information comprises information for reminding the user to seek medical advice and/or information for reminding the user of attention points.

6. The apparatus of any one of claims 3-5, wherein the display interface comprises an instruction area comprising at least one of a first aid instruction area for obtaining first aid instructions for the user, a contact emergency contact instruction area for obtaining contact emergency contact instructions for the user, a disease registration instruction area for obtaining registered disease instructions for the user, and a hospitalization instruction area for obtaining hospitalization registration instructions for the user,

the processor is further used for acquiring a target instruction sent by the user through the instruction area, wherein the target instruction comprises at least one of the emergency instruction, the contact emergency contact instruction and the hospitalizing registration instruction; performing an operation corresponding to the target instruction, the first aid instruction corresponding to dialing 110, the contact emergency contact instruction corresponding to dialing an emergency contact phone, the registration disease instruction corresponding to registering a medical condition with a hospital, and the hospitalization registration instruction corresponding to online hospitalization registration.

7. The apparatus of any one of claims 1-6, wherein the electrocardiograph sensor comprises a first electrode, a second electrode, and a third electrode, wherein the first electrode and the second electrode are of opposite polarity, and wherein the third electrode has a predetermined constant potential thereon.

8. The apparatus of claim 7, wherein the acquisition device further comprises a base comprising a first surface and a second surface, the first surface disposed opposite the second surface, wherein the first surface is in contact with skin at the coronary artery detection region of the user and the second surface is in contact with a finger of the user;

the heart sound sensor and the first electrode are disposed on the first surface;

the fingertip pulse wave sensor and the second electrode are arranged on the second surface;

the third electrode is disposed on the first surface or the second surface;

the output end is disposed in a lumen formed between the first surface and the second surface, or on the first surface, or on the second surface.

9. The apparatus of claim 8, wherein the third electrode is disposed on the first surface;

the heart sound sensor, the first electrode, and the third electrode are nested together and disposed on the first surface;

the fingertip pulse wave sensor and the second electrode are nested together and disposed on the second surface.

10. The apparatus of claim 9,

the second surface comprises a groove matched with the shape of a finger,

the fingertip pulse wave sensor and the second electrode are embedded in the groove bottom area of the groove.

11. The apparatus of claim 7, wherein the device further comprises a base comprising a first surface and a second surface, the first surface disposed opposite the second surface, the grip disposed on the second surface, wherein the first surface is the side in contact with the skin at the coronary artery detection region of the user and the second surface is the side in contact with the finger of the user;

the fingertip pulse wave sensor and the second electrode are arranged on the handle body of the grab handle;

the third electrode is disposed on the first surface or on the shank;

the output end is disposed in a lumen formed between the first surface and the second surface, or on the first surface, or on the second surface, or on the shank.

12. The apparatus of claim 11, wherein the third electrode is disposed on the first surface;

the fingertip pulse wave sensor and the second electrode are nested together and arranged on the handle body.

13. The apparatus of claim 12,

the handle body comprises a groove matched with the shape of a finger, and the fingertip pulse wave sensor and the second electrode are embedded in the groove bottom area of the groove.

14. The apparatus of claim 9, 10, 12 or 13, wherein the first electrode and the third electrode each have a semicircular ring surface shape, the heart sound sensor has a circular surface shape, and the heart sound sensor is disposed in a region surrounded by the two semicircular rings.