WO2019000337A1 - Physiological information measuring method, storage medium, physiological information monitoring device and equipment - Google Patents

Abstract

A physiological information monitoring technology, a measuring method, a storage medium, a physiological information monitoring device (20), and an equipment, the physiological information monitoring device (20) comprising: a piezoelectric sensor (21) and a control processing unit (23), the control processing unit (23) being used to obtain digitized heartbeat and respiration sampling signals on the basis of heartbeat and respiration electrical signals; the heartbeat and respiration sampling signals undergo opening processing and closing processing on the basis of a preset structural element so as to obtain a respiration separation signal, the preset structural element having a width that is greater than or equal to a preset heartbeat period and less than a preset respiration period. The heartbeat signal in the mutually interfering heartbeat and respiration sampling signals may be removed so as to effectively separate the respiration signal. Since the data processing process only relates to addition and subtraction operations, and does not relate to multiplication and division operations, the calculation amount is small and real-time performance is good.

Description

Physiological information measuring method, storage medium and physiological information monitoring device, device Technical field

The embodiments of the present application relate to physiological information monitoring technologies, and in particular, to a physiological information measuring method, a storage medium, and a physiological information monitoring device and device.

Background technique

Sleep monitoring technology has become an indispensable part of modern medical diagnosis. At present, the main means of clinical sleep analysis is to analyze polysomnography, but the generation of polysomnography requires at least more than ten electrodes to be attached to the body, which brings a certain physiological and psychological load to the subject, which in turn affects the quality of sleep. Sleep monitoring products based on piezoelectric film (Polyvinylidene Fluoride, PVDF) sensors have emerged. These products can record the physical activity, respiratory activity, heart rate, etc. of the subject without sticking electrodes on the body surface.

However, due to the characteristics of the piezoelectric film sensor itself, as long as there is a pressure change, it will be converted into a corresponding electrical signal. When a piezoelectric thin film sensor is used to collect a physiological characteristic signal of a human body, both heartbeat and breathing exert pressure on it. Therefore, the collected breath and heart rate signals will interfere with each other.

At present, in order to obtain a pure respiratory signal and heartbeat signal, the separation of the respiratory signal and the heartbeat signal can be realized by the wavelet filter and the adaptive filter, but whether it is a wavelet filter or an adaptive filter, the calculation amount is large. The processing time is long and the algorithm has poor real-time performance.

Summary of the invention

The purpose of the present application is to provide a physiological information measuring method, a storage medium, and a physiological information monitoring device and device, which can effectively separate a heartbeat signal and a respiratory signal, and has a small amount of calculation and good real-time performance.

To achieve the above objective, in a first aspect, an embodiment of the present application provides a physiological information monitoring apparatus, where the apparatus includes:

Piezoelectric sensor: for receiving a mechanical vibration pressure signal generated by human breathing and heart beat, and converting the mechanical vibration pressure signal into a heartbeat respiratory electric signal;

a control processing unit, configured to process the heartbeat respiratory electrical signal, the control processing unit include:

At least one processor;

The processor is in communication with a control internal or external memory of the control processing unit;

The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to:

Obtaining a digitized heartbeat breathing sampling signal based on the heartbeat respiratory electrical signal, the heartbeat breathing sampling signal comprising a mutual interference breathing signal and a heartbeat signal, the breathing signal being a periodic signal, the heartbeat signal being a periodic signal, the breathing The period of the signal is greater than the period of the heartbeat signal;

Performing an open operation process and a closed operation process on the heartbeat respiratory sampling signal based on a preset structural element to obtain a respiratory separation signal, wherein a width of the preset structural element is greater than or equal to a preset heartbeat cycle and less than a preset respiratory cycle.

Optionally, the processor of the control processing unit is further capable of:

The heartbeat separation signal is obtained by subtracting the respiratory separation signal from the heartbeat breath sampling signal.

Optionally, the processor of the control processing unit is further capable of:

Respiratory frequency information is obtained based on the respiratory separation signal.

Optionally, the processor of the control processing unit is further capable of:

Heart rate information is obtained based on the heartbeat separation signal.

Optionally, the performing the open operation processing and the closing operation processing on the heartbeat respiratory sampling signal based on the preset structural element, including:

Performing the open operation processing on the heartbeat breathing sampling signal and then performing the closed operation processing; or

Performing a closed operation on the heartbeat breathing sampling signal and then performing an open operation; or

Performing an open operation process on the heartbeat breathing sampling signal, and performing a closed operation process to obtain a first signal;

Performing a closed operation process on the heartbeat breathing sampling signal, and performing an open operation process to obtain a second signal;

The first signal and the second signal are averaged.

In a second aspect, the embodiment of the present application further provides a physiological information measuring method for monitoring a device, where the method includes:

Obtaining a heartbeat breathing sampling signal, the heartbeat breathing sampling signal comprising a mutual interference breathing signal and a heartbeat signal, the breathing signal being a periodic signal, the heartbeat signal being a periodic signal, the breathing The period of the signal is greater than the period of the heartbeat signal;

Performing an open operation process and a closed operation process on the heartbeat respiratory sampling signal based on a preset structural element to obtain a respiratory separation signal, wherein a width of the preset structural element is greater than or equal to a preset heartbeat cycle and less than a preset respiratory cycle.

Optionally, the method further includes:

The heartbeat separation signal is obtained by subtracting the respiratory separation signal from the heartbeat breath sampling signal.

Optionally, the method further includes:

Respiratory frequency information is obtained based on the respiratory separation signal.

Optionally, the method further includes:

Heart rate information is obtained based on the heartbeat separation signal.

Optionally, the performing the open operation processing and the closing operation processing on the heartbeat respiratory sampling signal based on the preset structural element, including:

Performing the open operation processing on the heartbeat breathing sampling signal and then performing the closed operation processing; or

Performing a closed operation on the heartbeat breathing sampling signal and then performing an open operation; or

Performing an open operation process on the heartbeat breathing sampling signal, and performing a closed operation process to obtain a first signal;

Performing a closed operation process on the heartbeat breathing sampling signal, and performing an open operation process to obtain a second signal;

The first signal and the second signal are averaged.

In a third aspect, the embodiment of the present application further provides a storage medium, where the storage medium stores executable instructions, and when the executable instructions are executed by the physiological information monitoring apparatus, the physiological information monitoring apparatus performs the foregoing method. .

In a fourth aspect, the embodiment of the present application further provides a program product, where the program product includes a program stored on a storage medium, where the program includes program instructions, when the program instruction is executed by the physiological information monitoring device, The physiological information monitoring device performs the method of the above claims.

In a fifth aspect, the embodiment of the present application further provides a physiological information monitoring device, where the physiological information monitoring device includes:

The monitoring body is configured to carry a part of a human body or a human body; and the physiological information monitoring device described above, wherein the piezoelectric sensor in the physiological information monitoring device is disposed in the monitoring body.

Physiological information measuring method, storage medium, program product and physiological information provided by embodiments of the present application The monitoring device and the device perform the opening processing and the closing operation processing on the heartbeat breathing sampling signals that interfere with each other, and the opening and closing operations can remove the noise in the signal whose pulse width does not exceed the width of the selected structural element, thereby If the width is greater than or equal to the preset heartbeat period and less than the preset breathing period, the heartbeat signal in the mutually disturbing heartbeat breathing sampling signal can be removed to effectively separate the breathing signal. Since the data processing process only involves addition and subtraction operations, and does not involve multiplication and division operations, the calculation amount is small and the real-time performance is good.

DRAWINGS

The one or more embodiments are exemplified by the accompanying drawings in the accompanying drawings, and FIG. The figures in the drawings do not constitute a scale limitation unless otherwise stated.

1 is a schematic structural view of a circuit portion of an embodiment of a physiological information monitoring apparatus of the present application;

2 is a waveform diagram of a heartbeat signal and a respiratory signal that are not interfered with each other;

3 is a waveform diagram of a heartbeat respiratory signal that interferes with each other;

4 is a schematic flow chart of a physiological information measuring method provided by an embodiment of the present application;

5 is a schematic flowchart of a physiological information measuring method provided by an embodiment of the present application;

6 is a schematic flowchart of a physiological information measuring method provided by an embodiment of the present application;

7 is a schematic structural diagram of a physiological information measuring apparatus according to an embodiment of the present application;

8 is a schematic structural diagram of a physiological information measuring apparatus according to an embodiment of the present application;

FIG. 9 is a schematic structural diagram of a physiological information monitoring apparatus according to an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present application. It is a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present application without departing from the inventive scope are the scope of the present application.

The embodiment of the present application proposes a physiological information monitoring scheme based on a morphological filtering algorithm, which is applicable to the physiological information monitoring device shown in FIG. 1 , and the device uses the same piezoelectric thin film sensor to measure mechanical vibration generated by human respiratory motion and heart beat. a pressure signal and converting the mechanical vibration pressure signal into The heartbeat respiratory electric signal is an analog signal; the hardware circuit signal processing unit is configured to perform amplification and filtering on the heartbeat respiratory electric signal, and the micro control unit (MCU) algorithm processing unit processes the The heartbeat respiratory electric signal processed by the amplification filtering is separated by a morphological filtering algorithm to separate the heartbeat signal and the respiratory signal, thereby obtaining accurate heart rate information and respiratory frequency information. Through this scheme, the hardware cost can be reduced, and the accuracy of measuring the respiratory rate and heart rate of the piezoelectric film (PVDF) sensor products is greatly improved, and the calculation amount is small and the real-time performance is good. The program can be applied to sleep detection equipment such as mattresses, pillows, heart rate monitoring equipment, respiratory frequency monitoring equipment or other equipment that needs to measure heart rate or respiratory rate.

The following is a description of mathematical morphology.

Mathematical morphology is a mathematical method based on set algebra and quantitative description of geometric structure by set theory. Corrosion and expansion are the two most basic morphological operations in mathematical morphology. Since the heartbeat respiration signal is a one-dimensional gray signal, the gray-scale morphology operation in the one-dimensional discrete case is introduced below.

The heartbeat respiratory signal f to be processed is defined as a discrete function on F={0, l, . . . , N−l}, and the structural element g is defined as a dispersion on G={0, 1, . . . , M−1}. Function with N>M.

与膨胀⊕运算分别定义为：f on the corrosion of g

The expansion ⊕ operation is defined as:

和闭运算·相应定义为：Based on equations (1) and (2), f is about the opening operation of g

And closing operations are defined as:

The open and close operations smooth the signal in different ways, where the open operation suppresses the peak of the signal (positive pulse) and the closed operation suppresses the valley of the signal (negative pulse). The widths of the positive and negative pulses that can be filtered out of the signal f by the open and close operations depend on the width M of the structural element g used for the operation. If the width of the noise pulse in the signal does not exceed the width of the selected structural element, it can be removed by the open and close operations.

The embodiment of the present application utilizes this feature of the opening and closing operations to separate the heartbeat signal and the respiratory signal. Since normal non-interfering heartbeat signals and respiratory signals are periodic signals, normal adults The heart rate ranges from 50 beats/minute to 100 beats/minute, that is, the heartbeat cycle T1 ranges from 0.6 seconds to 1.2 seconds; the respiratory rate ranges from 12 beats/minute to 25 beats/minute, that is, the respiratory cycle T2 ranges from 2.4 seconds to 5 seconds. second. That is, the breathing cycle is greater than the heartbeat cycle. Therefore, it is possible to set the width of the structural element to be greater than or equal to the heartbeat period and less than the breathing period, so that the heartbeat signal in the heartbeat breathing sampling signal can be filtered out. In practical applications, in order to better filter out the heartbeat signal in the heartbeat breathing sampling signal, the actual value of the structural element is generally greater than the heartbeat period and not equal to the heartbeat period. The signal after the opening and closing operation is the breathing signal, and then the original respiratory heartbeat signal and the respiratory signal before the opening and closing operations are subtracted, and the heartbeat signal can be obtained.

As shown in FIG. 2, the heartbeat signal waveform and the respiratory signal waveform of the human body which do not interfere with each other are shown, wherein the heartbeat signal waveform is shown in the upper part and the respiratory signal waveform in the lower part. Figure 3 shows the heartbeat breathing signals that interfere with each other. As can be seen from Fig. 2, since the amplitude of the respiratory signal is relatively large, the frequency is relatively low, and the amplitude of the heartbeat signal is relatively small and the frequency is relatively high, so the influence of the respiratory signal on the heartbeat signal is far greater than the influence of the heartbeat signal on the respiratory signal, thereby The accuracy of heart rate information will also be greatly affected.

As shown in FIG. 4, the embodiment of the present application provides a physiological information measuring method, which is used in a physiological information monitoring apparatus, and the method includes:

Step 101: Acquire a heartbeat breathing sampling signal.

The heartbeat breathing sampling signal includes a respiratory signal and a heartbeat signal that interfere with each other, the breathing signal is a periodic signal, and the heartbeat signal is a periodic signal, and the period of the respiratory signal is greater than a period of the heartbeat signal.

In an embodiment of the present application, a heartbeat breath sampling signal may be acquired by sampling in mutually disturbing respiratory heartbeat signals, and the length of the heartbeat breathing sampling signal may be a plurality of breathing cycles.

Step 102: Perform an open operation process and a closed operation process on the heartbeat respiratory sampling signal based on a preset structural element to obtain a respiratory separation signal, where a width of the preset structural element is greater than or equal to a preset heartbeat cycle and less than a preset respiratory cycle. ;

Among them, the respiratory separation signal refers to the respiratory signal separated from the heartbeat breathing acquisition signal.

Specifically, the heartbeat breathing sampling signal may be first subjected to an open operation process and then subjected to a closed operation process, or the heartbeat breath sampling signal may be first subjected to a closed operation process and then subjected to an open operation process. If the heartbeat breath sampling signal function is denoted as f, the structural element function is denoted g, and the morphological filtering operation of signal f with respect to g can be expressed as MF _g (f). Then the corresponding two methods are expressed as:

with

For the opening and closing operations, please refer to formula (3) and formula (4).

In order to effectively suppress noise and reduce output statistical bias, the signal can be filtered by combining open-closed and closed-on cascaded operations. That is, the heartbeat breathing sampling signal is first subjected to an opening operation process and then subjected to a closing operation process, and the heartbeat breathing sampling signal is first subjected to a closed operation process and then subjected to an open operation process, and then the two operation results are averaged. This way the function is expressed as:

In the embodiment of the present application, by performing the open operation processing and the closed operation processing on the mutually disturbing heartbeat breathing sampling signals, the opening and closing operations can remove the noise in the signal whose pulse width does not exceed the width of the selected structural element, thereby If the width is greater than or equal to the preset heartbeat period less than the preset breathing period, the heartbeat signal in the heartbeat breathing sampling signal of the respiratory interference can be removed, thereby separating the breathing signal. Since the data processing process only involves addition and subtraction operations, and does not involve multiplication and division operations, the calculation amount is small and the real-time performance is good. Because the method can obtain accurate respiratory frequency information according to the mutually disturbing heartbeat breathing sampling signal, the heartbeat respiratory electrical signal can be collected using only one piezoelectric sensor, which saves hardware cost.

Further, as shown in FIG. 5, the method includes: in addition to the step of acquiring the respiratory separation signal, that is, in addition to the step 201 and the step 202 (steps 201 and 202 are specifically referred to step 101 and step 102), the method further includes:

Step 203: Subtract the heartbeat breathing sampling signal from the respiratory separation signal to obtain a heartbeat separation signal.

That is, the result of the morphological filtering operation is subtracted from the original heartbeat breathing sampling signal, and the peak-to-valley signal removed from the original heartbeat breathing sampling signal, that is, the heartbeat separation signal, wherein the heartbeat separation signal refers to The heartbeat signal separated from the heartbeat breathing acquisition signal.

It can be understood that since the original heartbeat breathing sampling signal includes a breathing signal and a heartbeat signal, after the breathing separation signal is acquired by using steps 101 and 102, the breathing separation signal is subtracted from the original heartbeat breathing sampling signal as a heartbeat separation signal.

Optionally, in other embodiments of the method, as shown in FIG. 6, the method further includes the steps of acquiring respiratory frequency information and heart rate information, as follows:

Step 301: Acquire a heartbeat breathing sampling signal;

Step 302: Perform an open operation process and a closed operation process on the heartbeat respiratory sampling signal based on a preset structural element to obtain a respiratory separation signal, where a width of the preset structural element is greater than or equal to a preset heartbeat cycle and less than a preset respiratory cycle. ;

Step 303: Obtain respiratory frequency information according to the respiratory separation signal.

Step 304: Subtract the heartbeat breathing sampling signal from the respiratory separation signal to obtain a heartbeat separation signal.

Step 305: Obtain heart rate information according to the heartbeat separation signal.

It should be noted that the foregoing step 303 may also be performed after step 304 or step 305, which is not limited in this application.

The monitoring device to which the above method is applicable may be a sleep monitoring product, a heart rate monitoring product, a respiratory frequency monitoring product, or other products that need to obtain heart rate information or respiratory frequency information.

Correspondingly, the embodiment of the present application further provides a physiological information measuring device. As shown in FIG. 7, the device includes:

a sampling module 401, configured to acquire a heartbeat breathing sampling signal;

The signal processing module 402 is configured to perform an open operation process and a closed operation process on the heartbeat respiratory sampling signal based on a preset structural element to obtain a respiratory separation signal, where a width of the preset structural element is greater than or equal to a preset heartbeat period and is less than Preset breathing cycle;

The performing the open operation processing and the closed operation processing on the heartbeat respiratory sampling signal according to the preset structural element, including:

Performing the open operation processing on the heartbeat breathing sampling signal and then performing the closed operation processing; or

Performing a closed operation on the heartbeat breathing sampling signal and then performing an open operation; or

Performing an open operation process on the heartbeat breathing sampling signal, and performing a closed operation process to obtain a first signal;

Performing a closed operation process on the heartbeat breathing sampling signal, and performing an open operation process to obtain a second signal;

The first signal and the second signal are averaged.

In the embodiment of the present application, by performing the open operation processing and the closed operation processing on the mutually disturbing heartbeat breathing sampling signals, the opening and closing operations can remove the noise in the signal whose pulse width does not exceed the width of the selected structural element, thereby If the width is greater than or equal to the preset heartbeat period and less than the preset breathing period, the heartbeat signal in the mutually disturbing heartbeat breathing sampling signal can be removed, thereby separating the breathing signal. Since the data processing process only involves addition and subtraction operations, and does not involve multiplication and division operations, the calculation amount is small and the real-time performance is good.

As shown in FIG. 8 , it is a schematic structural diagram of a further embodiment of the physiological information measuring device. In this embodiment, the physiological information measuring device includes: in addition to the sampling module 501 and the signal processing module 502,

The respiratory frequency information obtaining module 503 is configured to obtain respiratory frequency information according to the respiratory separation signal;

a heartbeat signal separation module 504, configured to subtract the heartbeat separation signal from the heartbeat breath sampling signal to obtain a heartbeat separation signal;

The heart rate information obtaining module 505 is configured to obtain heart rate information according to the heartbeat separation signal.

It should be noted that the foregoing apparatus can perform the method provided by the embodiment of the present application, and has the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiments of the present application.

Referring to FIG. 9 , an embodiment of the present application further provides a physiological information monitoring device 20 . The physiological information monitoring device 20 includes a piezoelectric sensor 21 and a control processing unit 23 . among them,

The piezoelectric sensor 21 is configured to receive a mechanical vibration pressure signal generated by human breathing and heart beat, and convert the mechanical vibration pressure signal into a heartbeat respiratory electric signal.

Optionally, in some embodiments, the piezoelectric sensor may select a piezoelectric film sensor or other piezoelectric sensor, and the piezoelectric film sensor is sensitive to pressure change of mechanical vibration, and is commonly used in medical fields for human organisms. Measurement of parameters.

Optionally, in some embodiments, the physiological information monitoring apparatus further includes an analog signal processing unit 22, and the analog signal processing unit 22 is configured to receive a heartbeat respiratory electrical signal sent by the piezoelectric sensor, and to The signal is preprocessed with analog signals. Specifically, the analog signal preprocessing includes analog signal processing such as analog amplification processing and filtering processing.

Optionally, in an embodiment of the present application, the analog signal processing unit 22 may include an analog amplifying subunit 221 for performing analog amplification processing on the heartbeat respiratory electrical signal, and an analog filtering subunit 222 for The heartbeat respiratory electrical signal is subjected to filtering processing.

The control processing unit 23 is configured to receive a heartbeat respiratory electrical signal, and perform data processing on the cardiac electrical respiratory signal to separate the respiratory separation signal and/or the heartbeat separation signal, and further output heart rate information and/or respiratory frequency information.

Optionally, the control processing unit 23 can adopt an MCU controller or a digital signal processing (DSP) controller.

The control processing unit 23 includes at least one processor 232 (illustrated by one processor in FIG. 9) and a memory 231, wherein the memory 231 may be built in the control processing unit 23 or externally external to the control processing unit. The 231 may also be a remotely located memory, and the control processing unit 23 is connected via a network (the memory is built in the control processing unit in FIG. 9 as an example). The processor 232 and the memory 231 may be connected by a bus or other means, as exemplified by a bus connection in FIG.

The memory 231 is configured to store a non-volatile software program, a non-volatile computer-executable program, and a module, such as a program instruction/module corresponding to the physiological information measurement method in the embodiment of the present application (for example, the sampling shown in FIG. 7) Module 401). The processor 232 executes various functional applications and data processing by executing non-volatile software programs, instructions, and modules stored in the memory 231, that is, implementing the physiological information measuring method of the above method embodiments.

The memory 231 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application required for at least one function; the storage data area may store data created in a process of using the physiological information monitoring device, and the like. Further, the memory 231 may include a high speed random access memory, and may also include a nonvolatile memory such as at least one magnetic disk storage device, a flash memory device, or other nonvolatile solid state storage device. In some embodiments, the memory 231 can optionally include a memory remotely located relative to the processor 232 that can be connected to the physiological information monitoring device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The one or more modules are stored in the memory 231, and when executed by the one or more processors 232, perform a physiological information monitoring method in any of the above method embodiments, for example, performing the above described FIG. In the method steps 101-102, the method steps 201 to 203 in FIG. 5, the method steps 301 to 305 in FIG. 6, the functions of the modules 401-402 in FIG. 7, and the modules 501-505 in FIG.

In the embodiment of the present application, by performing the open operation processing and the closed operation processing on the mutually disturbing heartbeat breathing sampling signals, the opening and closing operations can remove the noise in the signal whose pulse width does not exceed the width of the selected structural element, thereby If the width is greater than or equal to the preset heartbeat period and less than the preset breathing period, the heartbeat signal in the heartbeat breathing sampling signal of the respiratory interference can be removed, thereby separating the call Aspirate the signal. Since the data processing process only involves addition and subtraction operations, and does not involve multiplication and division operations, the calculation amount is small and the real-time performance is good.

The above-mentioned physiological information monitoring apparatus can perform the method provided by the embodiment of the present application, and has the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiments of the present application.

The embodiment of the present application provides a storage medium storing computer executable instructions executed by one or more processors, for example, one processor 232 in FIG. 9 may make the above one or The plurality of processors may perform the physiological information measuring method in any of the above method embodiments, for example, performing the method steps 101-102 in FIG. 4 described above, the method steps 201 to 203 in FIG. 5, and the method in FIG. Step 301 to step 305; implement the functions of the modules 401-402 in FIG. 7, and the modules 501-505 in FIG.

Referring to FIG. 9, the embodiment of the present application provides a physiological information monitoring device, which includes: a monitoring body 10 and the above-described physiological information monitoring device 20, the physiological information monitoring device 20 includes a piezoelectric sensor 21 and control processing. Unit 23. The monitoring body 10 is used to carry a part of a human body or a human body, such as a mattress or a pillow. The piezoelectric sensor 21 may be placed in the detecting body 10 for receiving a mechanical vibration pressure signal generated by the human respiratory motion and the heart beat, and converting the mechanical vibration pressure signal into a heartbeat respiratory electrical signal. The physiological information monitoring device 20 may further include an analog signal processing unit 22 for receiving a heartbeat respiratory electrical signal transmitted by the piezoelectric sensor and performing analog signal preprocessing on the cardiac electrical respiratory signal. The control processing unit 23 is configured to receive a heartbeat respiratory electrical signal and perform data processing on the cardiac electrical respiratory signal to separate the respiratory separation signal and/or the heartbeat separation signal to output heart rate information and/or respiratory frequency information.

In the embodiment of the present application, by performing the open operation processing and the closed operation processing on the mutually disturbing heartbeat breathing sampling signals, the opening and closing operations can remove the noise in the signal whose pulse width does not exceed the width of the selected structural element, thereby If the width is greater than or equal to the preset heartbeat period less than the preset breathing period, the heartbeat signal in the heartbeat breathing sampling signal of the respiratory interference can be removed, thereby separating the breathing signal. Since the data processing process only involves addition and subtraction operations, and does not involve multiplication and division operations, the calculation amount is small and the real-time performance is good.

The embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, ie may be located in one Places, or they can be distributed to multiple network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

Through the description of the above embodiments, those skilled in the art can clearly understand that the embodiments can be implemented by means of software plus a general hardware platform, and of course, by hardware. A person skilled in the art can understand that all or part of the process of implementing the above embodiments can be completed by a computer program to instruct related hardware, and the program can be stored in a computer readable storage medium. When executed, the flow of an embodiment of the methods as described above may be included. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and are not limited thereto; in the idea of the present application, the technical features in the above embodiments or different embodiments may also be combined. The steps may be carried out in any order, and there are many other variations of the various aspects of the present application as described above, which are not provided in the details for the sake of brevity; although the present application has been described in detail with reference to the foregoing embodiments, The skilled person should understand that the technical solutions described in the foregoing embodiments may be modified, or some of the technical features may be equivalently replaced; and the modifications or substitutions do not deviate from the embodiments of the present application. The scope of the technical solution.

Claims (12)

A physiological information monitoring device, characterized in that the device comprises: a piezoelectric sensor for receiving a mechanical vibration pressure signal generated by human breathing and heart beat, and converting the mechanical vibration pressure signal into a heartbeat respiratory electric signal; a control processing unit, configured to process the heartbeat respiratory electrical signal, the control processing unit comprising: At least one processor; The processor is in communication with a control internal or external memory of the control processing unit; The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to: Obtaining a digitized heartbeat breathing sampling signal based on the heartbeat respiratory electrical signal, the heartbeat breathing sampling signal comprising a mutual interference breathing signal and a heartbeat signal, the breathing signal being a periodic signal, the heartbeat signal being a periodic signal, the breathing The period of the signal is greater than the period of the heartbeat signal; Performing an open operation process and a closed operation process on the heartbeat respiratory sampling signal based on a preset structural element to obtain a respiratory separation signal, wherein a width of the preset structural element is greater than or equal to a preset heartbeat cycle and less than a preset respiratory cycle. The monitoring device of claim 1 wherein the processor of the control processing unit is further capable of: The heartbeat separation signal is obtained by subtracting the respiratory separation signal from the heartbeat breath sampling signal. The monitoring device of claim 1 wherein the processor of the control processing unit is further capable of: Respiratory frequency information is obtained based on the respiratory separation signal. The monitoring device according to claim 2, wherein the processor of the control processing unit is further capable of: Heart rate information is obtained based on the heartbeat separation signal. The monitoring device according to any one of claims 1 to 4, wherein the performing the open operation processing and the closing operation processing on the heartbeat breathing sampling signal based on the preset structural element comprises: Performing the open operation processing on the heartbeat breathing sampling signal and then performing the closed operation processing; or Performing a closed operation on the heartbeat breathing sampling signal and then performing an open operation; or Performing an open operation process on the heartbeat breathing sampling signal, and performing a closed operation process to obtain a first signal; Performing a closed operation process on the heartbeat breathing sampling signal, and performing an open operation process to obtain a second signal; The first signal and the second signal are averaged. A physiological information measuring method, characterized in that the method comprises: Obtaining a heartbeat breathing sampling signal, the heartbeat breathing sampling signal includes a mutual interference breathing signal and a heartbeat signal, the breathing signal is a periodic signal, the heartbeat signal is a periodic signal, and the period of the respiratory signal is greater than the heartbeat signal cycle; Performing an open operation process and a closed operation process on the heartbeat respiratory sampling signal based on a preset structural element to obtain a respiratory separation signal, wherein a width of the preset structural element is greater than or equal to a preset heartbeat cycle and less than a preset respiratory cycle. The method of measuring physiological information according to claim 6, wherein the method further comprises: The heartbeat separation signal is obtained by subtracting the respiratory separation signal from the heartbeat breath sampling signal. The method of measuring physiological information according to claim 6, wherein the method further comprises: Respiratory frequency information is obtained based on the respiratory separation signal. The physiological information measuring method according to claim 7, wherein the method further comprises: Heart rate information is obtained based on the heartbeat separation signal. The physiological information measuring method according to any one of claims 6-9, wherein the performing the open operation processing and the closing operation processing on the heartbeat respiratory sampling signal based on the preset structural element comprises: Performing the open operation processing on the heartbeat breathing sampling signal and then performing the closed operation processing; or Performing a closed operation on the heartbeat breathing sampling signal and then performing an open operation; or Performing an open operation process on the heartbeat breathing sampling signal, and performing a closed operation process to obtain a first signal; Performing a closed operation process on the heartbeat breathing sampling signal, and performing an open operation process to obtain a second signal; The first signal and the second signal are averaged. A storage medium, wherein the storage medium stores executable instructions, when the executable instructions are executed by the physiological information monitoring device, causing the physiological information monitoring device to perform the method of any one of claims 6-10 Methods. A physiological information monitoring device, wherein the physiological information monitoring device comprises: Monitoring the body for carrying parts of the human body or the human body; The physiological information monitoring apparatus according to any one of claims 1 to 5, wherein a piezoelectric sensor in the physiological information monitoring apparatus is provided in the monitoring body.

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