WO2021046700A1

WO2021046700A1 - Heart rate measurement method and apparatus, chip, electronic device and storage medium

Info

Publication number: WO2021046700A1
Application number: PCT/CN2019/105030
Authority: WO
Inventors: 万鹏
Original assignee: 深圳市汇顶科技股份有限公司
Priority date: 2019-09-10
Filing date: 2019-09-10
Publication date: 2021-03-18
Also published as: CN110730630A; CN110730630B

Abstract

The present application provides a heart rate measurement method and apparatus, a chip, an electronic device, and a storage medium. Said method comprises: a photo plethysmo graphy (PPG) sensor acquiring a first PPG signal of a user; acquiring an induced capacitance signal of the user by means of a capacitance sensor; processing the first PPG signal according to the induced capacitance signal of the user, so as to obtain a second PPG signal; and calculating the heart rate by means of the second PPG signal. The PPG signal acquired by the PPG sensor is processed according to the induced capacitance signal of the user, and the heart rate is calculated according to the processed PPG signal, so as to effectively eliminate noise caused by the movement of the user, thereby improving the accuracy of heart rate measurement.

Description

Heart rate detection method, device, chip, electronic device and storage medium

Technical field

This application relates to the technical field of wearable devices, and in particular to a heart rate detection method, device, chip, electronic device, and storage medium.

Background technique

With the development of smart devices, smart devices have more and more functions. In order to detect the health of the human body, sensors in smart devices (such as wearable devices) (for example, close to the human body, on top of the human body) can be used to detect the health of the human body. Sensors located close to the outer body surface of the human body in other ways) to detect. Wearable devices can not only monitor the health of the wearer's body for a long time, but also allow the wearer to perform daily activities, travel, commute, or participate in other activities. The health status of the human body monitored by such a wearable device may include heart rate, blood oxygenation, activity level, blood pressure, galvanic skin response, or other information about the wearer's body.

In the prior art, the use of a wearable device to detect the human body state of the wearer is usually achieved by photoplethysmography (PPG). Taking the detection of human heart rate, for example, the light emitter in the wearable device emits light of a specific wavelength and is incident on the skin tissue. After the reflection, scattering and absorption of the skin tissue, a part of the light can be emitted from the skin surface and be wearable The light receiver in the device receives. During this process, the blood volume of the subcutaneous tissue changes with the heart rhythm, so the light intensity received by the light receiver also changes with the pulse. By converting the light intensity signal received by the light receiver into an electrical signal, the photoelectric pulse wave of the blood volume of the subcutaneous tissue changing with the pulse can be obtained, and the heart rate value can be calculated from this.

However, in the prior art, in the process of wearable devices detecting human health, due to the diversity of the application environment and the wearing changes caused by the movement, the PPG sensor and the human skin will have a relative displacement, and the PPG signal will be mixed with the movement. Noise, in turn, affects the accuracy of heart rate detection.

Summary of the invention

The present application provides a heart rate detection method, device, chip, electronic device, and storage medium, which improve the accuracy of heart rate detection.

In the first aspect, this application provides a heart rate detection method, including:

Obtain the user's first PPG signal through the photoplethysmography PPG sensor; Obtain the user's current sensing capacitance signal through the capacitance sensor; Process the first PPG signal according to the user's current sensing capacitance signal to obtain the second PPG signal; Pass the second PPG The signal calculates the heart rate.

In the embodiment of the present application, the PPG signal obtained by the PPG sensor is processed according to the user's current induced capacitance signal, and the heart rate is calculated by the processed PPG signal, which effectively eliminates the noise generated by the user's motion, thereby improving the heart rate detection Accuracy.

Optionally, processing the first PPG signal according to the user's current sensing capacitance signal, and before obtaining the second PPG signal, further includes:

Obtain the first relationship between the user’s multiple sensing capacitance signals and multiple distances, where the distance is the distance between the wearable device and the user; the target distance is determined by the first relationship and the user’s current sensing capacitance signal, and the target distance is In the first relationship, the user’s current sensing capacitance signal corresponds to the distance between the wearable device and the user; correspondingly, the first PPG signal is processed according to the user’s current sensing capacitance signal to obtain the second PPG signal, including: if the target distance If it is less than or equal to the preset threshold, the first PPG signal is processed according to the user's current sensing capacitance signal to obtain the second PPG signal.

In the embodiment of the present application, the target distance is determined based on the relationship between the human body induced capacitance signal and the distance, and the user's current induced capacitance signal, and when the target distance is less than or equal to a preset threshold, the user's current induced capacitance signal The first PPG signal is processed to further ensure the accuracy of heart rate detection.

Optionally, processing the first PPG signal according to the user's current sensing capacitance signal to obtain the second PPG signal includes:

Obtain the relationship curve between the user's multiple inductive capacitance signals and the multiple PPG signals; obtain the third PPG signal through the relationship curve and the user's current inductive capacitance signal; modify the first PPG signal according to the third PPG signal to obtain the second PPG signal.

In the embodiment of the present application, the first PPG signal is corrected based on the relationship curve between the human body induction signal and the PPG signal and the user's current sensing capacitance signal, which improves the accuracy of the correction.

Optionally, obtaining the relationship curve between the multiple sensing capacitance signals of the user and the multiple PPG signals includes:

Determine the first relationship between the multiple inductive capacitance signals of the user and the multiple distances, where the distance is the distance between the wearable device and the user; determine the second relationship between the multiple PPG signals and the multiple distances; pass the first Relationship and second relationship, determine the relationship curve.

Optionally, modifying the first PPG signal according to the third PPG signal to obtain the second PPG signal includes:

Determine the reference value of the first PPG signal; determine the correction coefficient, which is the ratio between the third PPG signal and the reference value; calculate the product of the first PPG signal and the correction coefficient to obtain the second PPG signal.

The embodiment of the present application implements the correction of the first PPG signal and obtains the second PPG signal, thereby improving the accuracy of heart rate calculation.

Perform Fourier transform on the first PPG signal to obtain the transformed first PPG signal, and perform Fourier transform on the third PPG signal to obtain the transformed third PPG signal; within the preset spectrum range, fitting transform The first PPG signal after the fitting obtains the fitted first PPG signal, and the fitted and transformed third PPG signal obtains the fitted third PPG signal; the fitted first PPG signal subtracts the fitted first PPG signal Three PPG signals to obtain the second PPG signal.

The embodiment of the present application obtains the second PPG signal by performing Fourier transform and fitting on the first PPG signal and the third PPG signal, respectively, which improves the reliability of the second PPG signal.

Optionally, the heart rate detection method provided in the embodiment of the present application further includes:

If the target distance exceeds the preset threshold, the first PPG signal is rejected.

In the embodiment of the present application, by removing the first PPG signal when the target distance exceeds the preset threshold, the influence on the calculation of the heart rate when the motion noise is large is avoided, and the accuracy of the calculation of the heart rate is further ensured.

If within the preset time, the number of times the target distance exceeds the preset threshold reaches the preset number of times, the latest historical heart rate is determined to be the current heart rate; or, the current heart rate is calculated based on the latest historical heart rate and the user's current sensing capacitance signal.

The embodiment of the present application predicts the current heart rate based on the latest historical heart rate and the user's current induced capacitance signal when multiple target distances within a preset time all exceed a preset threshold, thereby improving the reliability of heart rate detection.

Obtain the acceleration signal of the wearable device through the accelerometer; accordingly,

Processing the first PPG signal according to the user's current sensing capacitance signal to obtain the second PPG signal includes: processing the second PPG signal according to the acceleration signal to obtain the fourth PPG signal; and calculating the heart rate according to the fourth PPG signal.

In the embodiment of the present application, by further processing the second PPG signal according to the acceleration signal, the reliability of the PPG signal is further improved, and the accuracy of the heart rate calculation is ensured.

Optionally, processing the second PPG signal according to the acceleration signal to obtain the fourth PPG signal includes:

Acquire the spectrum data of the second PPG signal and the spectrum data of the acceleration signal; determine the frequency of the peak of the spectrum data of the second PPG signal and the frequency of the peak of the acceleration signal of the acceleration signal; if the peak of the spectrum data of the second PPG signal If the frequency is matched with the frequency of the peak of the spectral data of the acceleration signal, the peak of the spectral data of the second PPG signal is removed to obtain the fourth PPG signal.

The implementation of this application eliminates the peak of the spectral data of the second PPG signal when the frequency of the peak of the spectral data of the second PPG signal is matched with the frequency of the peak of the spectral data of the acceleration signal, and further eliminates the movement caused by motion. Noise improves the reliability of the PPG signal.

The following describes the heart rate detection device, chip, device, storage medium, and computer program product provided by the embodiments of the present application. For the content and effect, please refer to the first aspect and the heart rate detection method provided in the first aspect in the optional manner, and will not be repeated.

In a second aspect, an embodiment of the present application provides a heart rate detection device, including:

The first acquisition module is used to acquire the user’s first PPG signal through the photoplethysmography PPG sensor; the second acquisition module is used to acquire the user’s current sensing capacitance signal through the capacitance sensor; the processing module is used to acquire the user’s current sensing capacitance signal The signal processes the first PPG signal to obtain the second PPG signal; the calculation module is used to calculate the heart rate through the second PPG signal.

Optionally, the heart rate detection device provided in the embodiment of the present application further includes:

The third acquiring module is used to acquire the first relationship between the multiple sensing capacitance signals of the user and the multiple distances, where the distance is the distance between the wearable device and the user; the first determining module is used to communicate with the user through the first relationship The current sensing capacitance signal of the user determines the target distance, and the target distance is the distance between the wearable device and the user corresponding to the current sensing capacitance signal of the user in the first relationship.

Correspondingly, the processing module is specifically used for:

If the target distance is less than or equal to the preset threshold, the first PPG signal is processed according to the user's current sensing capacitance signal to obtain the second PPG signal.

Optionally, the processing module is specifically used for:

The acquisition sub-module is used to obtain the relationship curve between the multiple sensing capacitance signals of the user and the multiple PPG signals; the processing sub-module is used to obtain the third PPG signal through the relationship curve and the current sensing capacitance signal of the user; The module is used to modify the first PPG signal according to the third PPG signal to obtain the second PPG signal.

Optionally, obtain sub-modules, specifically used for:

Optionally, the correction sub-module is specifically used for:

Perform Fourier transform on the first PPG signal to obtain a transformed first PPG signal, and perform Fourier transform on the third PPG signal to obtain a transformed third PPG signal;

In the preset spectrum range, fitting the transformed first PPG signal to obtain the fitted first PPG signal, and fitting the transformed third PPG signal to obtain the fitted third PPG signal;

The fitted first PPG signal is subtracted from the fitted third PPG signal to obtain the second PPG signal.

Optionally, the processing module is further configured to remove the first PPG signal if the target distance exceeds a preset threshold.

Optionally, the processing module is also used to:

If within the preset time, the target distance exceeds the preset threshold for the preset number of times, the latest historical heart rate is determined to be the current heart rate; or if the number of target distances determined within the preset time exceeds the predicted threshold If the preset number is exceeded, the current heart rate is calculated based on the latest historical heart rate and the user's current sensing capacitance signal.

The fourth acquisition module acquires the acceleration signal of the wearable device through the accelerometer; correspondingly,

The processing module is further used for: processing the second PPG signal according to the acceleration signal to obtain the fourth PPG signal; and calculating the heart rate according to the fourth PPG signal.

Optionally, the processing module is specifically used for:

In a third aspect, an embodiment of the present application provides a chip, including:

At least one processor; and a memory communicatively connected with the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can execute the first aspect And the first aspect of the alternative method.

Optionally, the capacitance sensor includes a capacitance electrode and a capacitance sampling circuit, and the chip provided in the embodiment of the present application further includes:

The capacitance sampling circuit is connected to at least one processor, and the capacitance sampling circuit is used to obtain the user's inductive capacitance signal.

Optionally, in the chip provided in the embodiment of the present application, the photoplethysmography PPG sensor includes a light-emitting device and a photoelectric conversion device, and the chip further includes a photoelectric conversion device connected to at least one processor.

Optionally, in the chip provided in the embodiment of the present application, the light-emitting device is integrated in the chip. In a fourth aspect, an embodiment of the present application provides an electronic device, including:

Photoplethysmography PPG sensor, capacitance sensor and processor. The PPG sensor is connected to the processor, and the capacitance sensor is connected to the processor. The PPG sensor is used to obtain the PPG signal and send the PPG signal to the processor. The capacitance sensor is used to obtain the user's current Sensing the capacitance signal, and sending the user's current sensing capacitance signal to the processor, and the processor is used to execute the method provided in the first aspect and the optional manner of the first aspect.

Optionally, the electronic device provided in the embodiment of the present application further includes an accelerometer,

The accelerometer is connected to the processor, and the accelerometer is used to obtain an acceleration signal and send the acceleration signal to the processor, and the processor is used to execute the method provided in the first aspect and the optional manner of the first aspect.

In a fifth aspect, an embodiment of the present application provides a computer storage medium. The storage medium includes a computer program. When the computer program is executed by the computer, the computer can realize the methods provided in the first aspect and the optional methods of the first aspect.

In a fifth aspect, this application provides a computer program product, including a computer program, which when the computer program is executed by a computer, enables the computer to implement the first aspect or the method provided in the first aspect in an optional manner.

This application provides a heart rate detection method, device, chip, electronic device, and storage medium. The method obtains the user's first PPG signal through a photoplethysmography PPG sensor; obtains the user's current sensing capacitance signal through a capacitance sensor; according to the user's current The sensing capacitance signal processes the first PPG signal to obtain the second PPG signal; the heart rate is calculated from the second PPG signal. Since the PPG signal obtained by the PPG sensor is processed according to the user's current induced capacitance signal, and the heart rate is calculated by the processed PPG signal, the noise generated by the user's motion is effectively eliminated, thereby improving the accuracy of heart rate detection.

Description of the drawings

In order to more clearly describe the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description These are some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative labor.

1A-1B are schematic structural diagrams of an implementable manner of a heart rate detection method provided by an embodiment of the present application;

2 is a schematic flowchart of a heart rate detection method provided by an embodiment of the present application;

FIG. 3 is a schematic flowchart of a heart rate detection method provided by another embodiment of the present application;

4 is a schematic structural diagram of an implementable manner of a heart rate detection method provided by another embodiment of the present application;

FIG. 5 is a schematic flowchart of a heart rate detection method provided by another embodiment of the present application;

FIG. 6 is a schematic structural diagram of a heart rate detection device provided by an embodiment of the present application;

FIG. 7 is a schematic structural diagram of a heart rate detection device provided by another embodiment of the present application;

FIG. 8 is a schematic structural diagram of a chip provided by an embodiment of the present application;

FIG. 9 is a schematic structural diagram of a chip provided by another embodiment of the present application;

FIG. 10 is a schematic structural diagram of a chip provided by another embodiment of the present application;

FIG. 11 is a schematic structural diagram of a chip provided by still another embodiment of the present application;

FIG. 12 is a schematic structural diagram of an electronic device provided by an embodiment of the present application;

FIG. 13 is a schematic structural diagram of an electronic device provided by another embodiment of the present application.

detailed description

In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by a person of ordinary skill in the art without creative work shall fall within the protection scope of this application.

The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of this application and the above-mentioned drawings are used to distinguish similar objects, without having to use To describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein, for example, can be implemented in a sequence other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations of them are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those clearly listed. Those steps or units may include other steps or units that are not clearly listed or are inherent to these processes, methods, products, or equipment.

With the development of smart devices, smart devices have more and more functions. In order to detect the health of the human body, it can be detected by sensors in smart devices (such as wearable devices). Wearable devices can not only monitor the health of the wearer's body for a long time, but also allow the wearer to perform daily activities, travel, commute, or participate in other activities. In the prior art, the use of wearable devices to detect the wearer’s human body status is usually achieved through PPG. However, due to the diversity of the application environment and the wearing changes caused by the movement, the PPG sensor and the human skin will have a relative displacement, and the PPG signal will be mixed. Because of the noise generated by exercise, the accuracy of heart rate detection is further affected. In order to solve the above-mentioned problems, embodiments of the present application provide a heart rate detection method, device, chip, electronic device, and storage medium.

Hereinafter, an exemplary application scenario of the embodiment of the present application will be introduced.

The embodiments of the present application may be applied to wearable devices, such as wristbands, etc., and the specific device types of the wearable devices are not limited in the embodiments of the present application. The heart rate detection method provided by the embodiment of the application may be implemented by a heart rate detection device, which may be part or all of a wearable device. Taking the heart rate detection device as a wearable device as an example, the heart rate detection method provided by the embodiment of the application is implemented 1A-1B is a schematic diagram of the structure of the heart rate detection method provided by an embodiment of the present application. As shown in FIG. 1A, the wearable device may include a PPG sampling circuit, a capacitance sensor, and a digital processing module. Among them, the PPG sampling circuit is used to collect the PPG signal and send the PPG signal to the digital processing module. Specifically, as shown in Figures 1A and 1B, the light-emitting diode (Light Emitting Diode) in the PPG sensor can be controlled by the sampling control circuit. LED) produces light of a certain wavelength. After being reflected, scattered and absorbed by the skin tissue, a part of the light can be emitted from the surface of the skin tissue and be received by the photo-diode (PD) in the PPG sensor. The optical signal passes through an analog front-end circuit and an analog-to-digital converter (Analog-to-Digital Converter, ADC) to obtain a digital signal. Among them, the LED and PD can be integrated in the heart rate detection chip or set separately from the heart rate detection chip. This application is implemented The example does not limit this; the digital signal is finally sent to the digital processing module, which can be part or all of the heart rate detection chip, for example, the digital processing module can be a processor. The sampling control circuit, analog front-end circuit and ADC in the PPG sampling circuit can also be integrated with the digital processing module in the chip. The capacitance sensor is used to obtain the human body induction capacitance signal and send the human body induction capacitance signal to the digital processing module. The digital processing module calculates the heart rate according to the human body induction capacitance signal and the PPG signal, which effectively improves the accuracy of heart rate detection. Based on this, this The application embodiment provides a heart rate detection method, device, chip, electronic device, and storage medium.

Figure 2 is a schematic flow chart of a heart rate detection method provided by an embodiment of the present application. The method can be executed by a heart rate detection device, which can be implemented by software and/or hardware. For example, the device can be a wearable device. Part or all, such as a heart rate bracelet, a heart rate headset, etc. The device can also be a heart rate detection chip in a wearable device, a single-chip microcomputer, a microcontroller unit (Microcontroller Unit, MCU), etc. The wearable device is used as the main body to perform the heart rate The detection method is described. As shown in FIG. 2, the heart rate detection method provided in the embodiment of the present application includes the following steps:

Step S101: Obtain the user's first PPG signal through the PPG sensor.

The PPG sensor can use the PPG sensor in FIG. 1A. The embodiment of the present application does not limit the specific structure of the PPG sensor, as long as the first PPG signal can be obtained, and the first PPG signal is the current PPG signal obtained by the wearable device. In addition, the embodiment of the present application does not limit the way of acquiring the first PPG signal.

Step S102: Obtain the current sensing capacitance signal of the user through the capacitance sensor.

The capacitance sensor may be a capacitance sensor chip or the like. The embodiment of the present application does not limit the specific structure of the capacitance sensor, as long as it can obtain the current sensing capacitance signal of the user. During the movement of the human body, the distance between the wearable device and the human body will change with the movement of the human body, and the size of the human body induction capacitance signal is related to the distance between the wearable device and the human body. Through the change of the human body induction capacitance signal, The change in the distance between the wearable device and the human body can be judged.

Step S103: Process the first PPG signal according to the user's current sensing capacitance signal to obtain the second PPG signal.

As the human body moves, the first PPG signal will generate noise caused by the movement, and the change of the user's inductive capacitance signal can determine the change in the distance between the wearable device and the user, and then the user's current inductive capacitance The signal processes the first PPG signal, for example, to eliminate the noise caused by the user’s motion and other behaviors to obtain the second PPG signal after the noise has been removed. The embodiment of the present application performs the processing of the first PPG signal on the basis of the user’s current sensing capacitance signal. The specific implementation manner for obtaining the second PPG signal is not limited by processing.

In some sports scenes, excessive user behavior may cause the distance between the wearable device and the human body to be too large, which seriously affects the detection of human heart rate by the wearable device. Based on this, in a possible implementation manner, according to the user The current sensing capacitance signal processes the first PPG signal, and before the second PPG signal is obtained, it also includes:

Obtain the first relationship between the user’s multiple sensing capacitance signals and multiple distances, where the distance is the distance between the wearable device and the human body; determine the target distance through the first relationship and the user’s current sensing capacitance signal, and the target distance is at In the first relationship, the user’s current sensing capacitance signal corresponds to the distance between the wearable device and the user; correspondingly, the first PPG signal is processed according to the user’s current sensing capacitance signal to obtain the second PPG signal, including: if the target If the distance is less than or equal to the preset threshold, the first PPG signal is processed according to the user's current sensing capacitance signal to obtain the second PPG signal.

Obtain the first relationship between the multiple sensing capacitance signals of the user and the multiple distances, by obtaining the multiple sensing capacitance signals of one or the user at different distances, and then the detection of the sensing capacitance signals of the human body at different distances The change situation is described. For example, the relationship between the user's inductive capacitance signal and the distance can be represented by an XY curve, which is not limited in the embodiment of the present application. After the first relationship is obtained, the target distance can be determined by the first relationship and the user's current sensing capacitance signal. The target distance is the distance corresponding to the user's current sensing capacitance signal in the first relationship. The sensing capacitance signal is substituted into the curve function of the first relationship to obtain the target distance. After the target distance is determined, the target distance can be judged to determine how to process the first PPG signal.

In a possible implementation manner, processing the first PPG signal according to the user's current sensing capacitance signal to obtain the second PPG signal includes: if the target distance is less than or equal to a preset threshold, then according to the user's current sensing capacitance signal The first PPG signal is processed to obtain the second PPG signal.

This embodiment of the application does not limit the range of the preset threshold, which can be specifically set according to the device type of the wearable device and user needs. In a possible implementation manner, the preset threshold may be 10 mm. Not limited to this. Determine the target distance based on the relationship between the user's sensing capacitance signal and the distance, and the user's current sensing capacitance signal, and when the target distance is less than or equal to the preset threshold, perform the first PPG signal on the user's current sensing capacitance signal Processing further ensures the accuracy of heart rate detection.

In another possible implementation manner, if the target distance is greater than the preset threshold, the first PPG signal is eliminated. By removing the first PPG signal when the target distance exceeds the preset threshold, the influence on the heart rate calculation when the motion noise is large is avoided, and the accuracy of the heart rate calculation is further ensured.

The acquisition of the first PPG signal is usually obtained through periodic sampling. If the user's motion amplitude is relatively large within the preset time, the distance between the wearable device and the human body is always relatively large, which will seriously affect the accuracy of the heart rate calculation . In order to solve the foregoing problem, in a possible implementation manner, the heart rate detection method provided in the embodiment of the present application further includes:

If within the preset time, the number of times the target distance exceeds the preset threshold reaches the preset number of times, the latest historical heart rate is determined to be the current heart rate.

The embodiment of the present application does not limit the length of the preset time, which can be specifically set according to user requirements. In a possible implementation manner, the preset time may be 10 seconds, and the embodiment of the present application is not limited to this. If the multiple sensing capacitance signals of the user collected within the preset time, the target distance calculated by the first relationship exceeds the preset threshold for the preset number of times, it means the distance between the wearable device and the human body within the preset time It is far away and the user's multiple sensing capacitor signals are unstable within a preset time, which in turn causes the noise of the first PPG signal to be relatively large, which affects the result of heart rate calculation. In this case, the wearable device may use the historical heart rate calculated before the preset time as the current heart rate.

In another possible implementation manner, if the target distance exceeds the preset threshold for the preset number of times within the preset time, the current heart rate can be predicted based on the latest historical heart rate and the user's current sensing capacitance signal.

For example, the user's motion state can be judged based on the fluctuation range of the user's induced capacitance signal, and then the increase range of the current heart rate on the basis of the latest historical heart rate can be determined. If the fluctuation range of the user's inductive capacitance signal is larger, it is judged that the user's exercise is more violent, and a larger range of increase can be increased on the basis of the latest historical heart rate. The embodiments of this application do not impose restrictions on this. Through the target distance determined within the preset time exceeding the preset threshold for the preset number of times, the current heart rate is predicted based on the latest historical heart rate and the user's current sensing capacitance signal, which improves the reliability of heart rate detection.

Step S104: Calculate the heart rate through the second PPG signal.

After processing the first PPG signal, the second PPG signal is obtained, and the wearable device calculates the heart rate through the second PPG signal. The embodiment of the present application does not limit the specific implementation manner in which the wearable device calculates the heart rate through the second PPG signal.

It can be seen from this that, in the embodiment of the present application, the PPG signal obtained by the PPG sensor is processed according to the user's current inductive capacitance signal, and the heart rate is calculated by the processed PPG signal, which effectively eliminates the noise generated by the user's motion, and then Improve the accuracy of heart rate detection. Moreover, compared to the method of adding accelerometers in the prior art, accelerometer data is acquired at the same time when PPG signals are acquired, so as to extract more accurate PPG signals. The embodiment of the present application not only reduces the cost, but also acquires the PPG signal through the capacitive sensor. The sensing capacitance signal can better reflect the distance between the wearable device and the user.

In order to process the first PPG signal according to the user's current inductive capacitance signal to obtain the second PPG signal, in a possible implementation manner, FIG. 3 is a schematic flowchart of a heart rate detection method provided by another embodiment of the present application. The method can be executed by a heart rate detection device, which can be implemented by software and/or hardware. For example, the device can be part or all of a wearable device, such as a heart rate bracelet, a heart rate headset, etc. The device can also It is the heart rate detection chip, single-chip microcomputer, MCU, etc. in the wearable device. The following describes the heart rate detection method with the wearable device as the execution subject. As shown in FIG. 3, the step S103 in the heart rate detection method provided by the embodiment of the present application can be include:

Step S201: Obtain a relationship curve between a plurality of inductive capacitance signals of a user and a plurality of PPG signals.

Obtain the relationship curve between the multiple sensing capacitance signals of the user and the multiple PPG signals, which can be obtained by directly reading the existing relationship curve from the memory, or can be obtained by further calculation of the wearable device. Without limitation, in a possible implementation manner, acquiring the relationship curve between the multiple sensing capacitance signals of the user and the multiple PPG signals includes:

For determining the first relationship between the multiple sensing capacitance signals of the user and the multiple distances, reference may be made to the introduction of this part in step S103, which will not be repeated here. To determine the second relationship between the multiple PPG signals and the multiple distances, refer to the method of determining the first relationship between the multiple inductive capacitance signals of the user and the multiple distances, which will not be repeated here. Through the first relationship and the second relationship To determine the relationship curve, the relationship curve between the multiple sense capacitance signals of the user and the multiple PPG signals can be determined through the relationship between the multiple sense capacitance signals of the user, multiple PPG signals and multiple distances.

Step S202: Obtain a third PPG signal through the relationship curve and the current sensing capacitance signal of the user.

Substituting the user's current sensing capacitance signal into the relationship curve, the third PPG signal can be obtained. The embodiment of the present application does not limit the specific implementation manner of obtaining the third PPG signal.

Step S203: Correct the first PPG signal according to the third PPG signal to obtain the second PPG signal.

After the third PPG signal is obtained, the first PPG signal can be modified by the third PPG signal to obtain the second PPG signal. The embodiment of the present application modifies the first PPG signal according to the third PPG signal to obtain the second PPG signal. There is no restriction on the way.

In a possible implementation manner, modifying the first PPG signal according to the third PPG signal to obtain the second PPG signal includes:

Determining the reference value of the first PPG signal, for example, can be set when the wearable device is normally worn, the distance between the wearable device and the human body is 1 mm, and the PPG signal at this distance is determined as the reference value through the second relationship, The embodiments of this application do not impose restrictions on this. Then the correction coefficient is obtained by calculating the ratio between the third PPG signal and the reference value; finally, the product of the first PPG signal and the correction coefficient is calculated to obtain the second PPG signal, thereby eliminating the excessive distance between the wearable device and the human body The motion noise caused by a large amount of noise improves the reliability of the PPG signal, which in turn improves the accuracy of the heart rate calculation.

In another possible implementation manner, modifying the first PPG signal according to the third PPG signal to obtain the second PPG signal includes:

In the embodiment of this application, the first PPG signal and the third PPG signal are respectively Fourier transformed to obtain the transformed first PPG signal and the transformed third PPG signal; The first PPG signal after the transformation is fitted with the third PPG signal after the transformation. The embodiment of the present application does not limit the fitting manner, for example, the least square method or polynomial fitting may be used. The embodiment of the present application does not limit the specific range of the preset frequency spectrum range. In a possible implementation manner, the preset frequency spectrum range may be 0.5 Hz to 200 Hz, and the embodiment of the present application is not limited to this. Finally, the second PPG signal is obtained by subtracting the fitted third PPG signal from the fitted first PPG signal, which realizes the correction of the first PPG signal and improves the accuracy of the correction.

In order to further improve the accuracy of heart rate detection and eliminate motion interference, in a possible implementation manner, FIG. 4 is a schematic structural diagram of an achievable manner of the heart rate detection method provided by another embodiment of the present application, and FIG. Based on the accelerometer, the accelerometer signal is obtained through the accelerometer, and the accelerometer signal is sent to the digital processing module. The digital processing module calculates the heart rate based on the PPG signal, the human body capacitance sensing signal and the accelerometer signal to improve the accuracy of heart rate detection Sex. Based on the structure in FIG. 4, the heart rate detection method provided by the embodiment of the present application will be further introduced below.

In a possible implementation manner, FIG. 5 is a schematic flowchart of a heart rate detection method provided by another embodiment of the present application, where the method can be executed by a heart rate detection device, which can be implemented by software and/or hardware. For example: the device can be part or all of a wearable device, such as a heart rate bracelet, a heart rate headset, etc. The device can also be a heart rate detection chip, a single-chip microcomputer, an MCU, etc. in the wearable device, and the wearable device is the main body of execution below The heart rate detection method is described. As shown in FIG. 5, the heart rate detection method provided in the embodiment of the present application may further include:

Step S301: Obtain the acceleration signal of the wearable device through the accelerometer.

The embodiment of the present application does not limit the model and structure of the accelerometer, as long as the acceleration signal can be obtained.

The digital processing module calculates the heart rate based on the PPG signal, the human body capacitance sensing signal, and the accelerometer signal. The PPG signal can be corrected by the human body capacitance sensing signal and the accelerometer signal to improve the reliability of the PPG signal.

In a possible implementation manner, after processing the first PPG signal according to the user's current sensing capacitance signal in step S103 to obtain the second PPG signal, the method further includes:

Step S302: Process the second PPG signal according to the acceleration signal to obtain a fourth PPG signal.

The embodiment of the present application does not limit the specific implementation manner of processing the second PPG signal according to the acceleration signal to obtain the fourth PPG signal. Optionally, the second PPG signal is processed according to the acceleration signal to obtain the fourth PPG signal, include:

In the embodiment of the present application, the frequency of the peak of the spectral data of the second PPG signal is matched with the frequency of the peak of the spectral data of the acceleration signal through the spectral analysis method. If the frequency of the peak of the spectral data of the second PPG signal is located, Matching with the frequency of the peak of the spectral data of the acceleration signal indicates that the peak of the spectral data of the second PPG signal is motion noise. Therefore, the peak of the spectral data of the second PPG signal can be eliminated to obtain the fourth PPG signal. The peak value in the fourth PPG signal is the peak value caused by the pulse of the user, which further eliminates the noise caused by the movement and improves the reliability of the PPG signal.

Step S104 is updated to step S303.

Step S303: Calculate the heart rate according to the fourth PPG signal.

The calculation of the heart rate based on the fourth PPG signal is similar to the manner of calculating the heart rate based on the second PPG signal in step S104 in the foregoing embodiment, and will not be described again.

The following describes the heart rate detection device, chip, device, storage medium, and computer program product provided by the embodiments of the present application. For the content and effect, please refer to the heart rate detection method provided in the foregoing embodiment, and will not be repeated.

Fig. 6 is a schematic structural diagram of a heart rate detection device provided by an embodiment of the present application. The device can be implemented by software and/or hardware. For example, the device can be part or all of a wearable device, such as a heart rate bracelet or a heart rate monitor. Earphones, etc., the device may also be a heart rate detection chip, a single-chip microcomputer, an MCU, etc. in a wearable device. As shown in FIG. 6, the heart rate detection device provided in the embodiment of the present application may include:

The first acquisition module 61 is configured to acquire the user's first PPG signal through the photoplethysmography PPG sensor.

The second acquiring module 62 is configured to acquire the current sensing capacitance signal of the user through the capacitance sensor.

The processing module 63 is configured to process the first PPG signal according to the user's current sensing capacitance signal to obtain the second PPG signal.

The calculation module 64 is configured to calculate the heart rate through the second PPG signal.

In an achievable manner, the functions of the processing module and the calculation module can also be performed by the processing module. For example, the processing module can be a processor, and the first acquisition module and the second acquisition module can be the transmission of the processor. Interface; Exemplarily, the function of the first acquisition module can be implemented by the sampling control circuit, analog front-end circuit and ADC in the PPG sampling circuit; the function of the second acquisition module can be implemented by the capacitance sampling module of the capacitance sensor, for example , The capacitance sampling module can be a capacitance sampling circuit. The embodiments of this application do not impose restrictions on this. Optionally, FIG. 7 is a schematic structural diagram of a heart rate detection device provided by another embodiment of the present application. The device can be implemented by software and/or hardware. For example, the device can be part or all of a wearable device, such as A heart rate bracelet, a heart rate headset, etc., the device may also be a heart rate detection chip, a single-chip microcomputer, an MCU, etc. in a wearable device. As shown in FIG. 7, the heart rate detection device provided in the embodiment of the present application may further include:

The third acquiring module 65 is configured to acquire the first relationship between the multiple sensing capacitance signals of the user and the multiple distances, where the distance is the distance between the wearable device and the human body.

The first determining module 66 is configured to determine a target distance based on the first relationship and the user's current sensing capacitance signal, where the target distance is the distance between the wearable device and the user corresponding to the user's current sensing capacitance signal in the first relationship.

Correspondingly, the processing module 63 is specifically used for:

Optionally, the processing module 63 includes:

The acquiring sub-module 631 is configured to acquire the relationship curves between the multiple sensing capacitance signals of the user and the multiple PPG signals.

The processing sub-module 632 is configured to obtain the third PPG signal through the relationship curve and the current sensing capacitance signal of the user.

The correction sub-module 633 is used to correct the first PPG signal according to the third PPG signal to obtain the second PPG signal.

Optionally, the sub-module 631 is obtained, which is specifically used for:

Optionally, the correction submodule 633 is specifically used for:

Optionally, the processing module 63 is further configured to remove the first PPG signal if the target distance exceeds a preset threshold.

Optionally, the processing module 63 is also used to:

The fourth acquiring module 67 acquires the acceleration signal of the wearable device through the accelerometer; correspondingly,

The processing module 63 is further configured to: process the second PPG signal according to the acceleration signal to obtain a fourth PPG signal; and calculate the heart rate according to the fourth PPG signal.

Optionally, the processing module 63 is specifically used for:

In an achievable manner, the functions of the processing module and the first determining module may also be performed by the processing module. For example, the processing module may be a processor, and the third acquiring module and the fourth acquiring module may be processors. The transmission interface of this application is not limited to this.

An embodiment of the present application provides a chip. FIG. 8 is a schematic structural diagram of a chip provided by an embodiment of the present application. As shown in FIG. 8, the chip provided by an embodiment of the present application may include:

At least one processor 81; and a memory 82 communicatively connected with the at least one processor 81; wherein the memory 82 stores instructions executable by the at least one processor 81, and the instructions are executed by the at least one processor 81 to enable at least one processing The device 81 can execute the heart rate detection method provided in the foregoing embodiment.

In a possible implementation manner, FIG. 9 is a schematic structural diagram of a chip provided by another embodiment of the present application. As shown in FIG. 9, the capacitance sensor includes a capacitance electrode 84 and a capacitance sampling circuit 83. The chip provided by the embodiment of the present application Also includes:

The capacitance sampling circuit 83 is connected to at least one processor 81, and the capacitance sampling circuit 83 is used to obtain the user's inductive capacitance signal.

The capacitor electrode is connected to the capacitor sampling circuit. The capacitor electrode can be set on the surface of the electronic device. The electronic device can be a heart rate detection device or an electronic device containing a heart rate detection device, such as a wearable device. The distance between the user and the capacitor electrode Change, the capacitance signal of the capacitance electrode changes accordingly, and the capacitance sampling circuit obtains the user's inductive capacitance signal through the capacitance change of the capacitance electrode.

In another possible implementation manner, FIG. 10 is a schematic structural diagram of a chip provided by another embodiment of the present application. As shown in FIG. 10, the photoplethysmography PPG sensor includes a light-emitting device 86 and a photoelectric conversion device 85. The chip provided in the example may also include a photoelectric conversion device 85 connected to at least one processor 81. The light-emitting device 86 may include LEDs and PDs, and the photoelectric conversion device 85 may include a sampling control circuit, an analog front-end circuit, and an ADC. The embodiment of the present application does not limit the specific structure of the photoelectric conversion circuit 85.

In another possible implementation manner, FIG. 11 is a schematic structural diagram of a chip provided by another embodiment of the present application. As shown in FIG. 11, the light emitting device 86 is integrated into the chip.

An embodiment of the present application provides a device. FIG. 12 is a schematic structural diagram of an electronic device provided in an embodiment of the present application. As shown in FIG. 11, the electronic device provided in an embodiment of the present application may include:

PPG sensor 91, capacitance sensor 92 and processor 93, PPG sensor 91 is connected to processor 93, capacitance sensor 92 is connected to processor 93, PPG sensor 91 is used to obtain PPG signal and send the PPG signal to processor 93, capacitance sensor 92 is used to obtain the user's current sensing capacitance signal, and send the user's current sensing capacitance signal to the processor 93, and the processor 93 is used to execute the heart rate detection method provided in the foregoing embodiment.

The electronic device provided in the embodiment of the present application may be a heart rate detection device or an electronic device including the heart rate detection device, which is not limited in the embodiment of the present application.

Optionally, FIG. 13 is a schematic structural diagram of an electronic device provided by another embodiment of the present application. As shown in FIG. 13, the device provided by an embodiment of the present application may further include an accelerometer 94,

The accelerometer 94 is connected to the processor 93, and the accelerometer 94 is used to obtain an acceleration signal and send the acceleration signal to the processor 93, and the processor 93 is used to execute the method provided in the foregoing embodiment.

A person of ordinary skill in the art can understand that all or part of the steps in the foregoing method embodiments can be implemented by a program instructing relevant hardware. The aforementioned program can be stored in a computer readable storage medium. When the program is executed, it executes the steps including the foregoing method embodiments; and the foregoing storage medium includes: ROM, RAM, magnetic disk, or optical disk and other media that can store program codes.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the application, not to limit them; although the application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: It is still possible to modify the technical solutions described in the foregoing embodiments, or equivalently replace some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the embodiments of the present application. range.

Claims

A method for detecting heart rate, which is characterized in that it comprises:

Obtain the user's first PPG signal through the photoplethysmography PPG sensor;

Acquiring the current sensing capacitance signal of the user through a capacitance sensor;

Processing the first PPG signal according to the current sensing capacitance signal of the user to obtain a second PPG signal;

The heart rate is calculated by the second PPG signal.
The method according to claim 1, characterized in that, before the processing the first PPG signal according to the current sensing capacitance signal of the user to obtain the second PPG signal, the method further comprises:

Acquiring a first relationship between a plurality of inductive capacitance signals of the user and a plurality of distances, where the distance is the distance between the wearable device and the user;

The target distance is determined by the first relationship and the user's current sensing capacitance signal, where the target distance is the difference between the wearable device corresponding to the user's current sensing capacitance signal and the user in the first relationship The distance between

Correspondingly, the processing the first PPG signal according to the current sensing capacitance signal of the user to obtain the second PPG signal includes:

If the target distance is less than or equal to the preset threshold, the first PPG signal is processed according to the current sensing capacitance signal of the user to obtain a second PPG signal.
The method according to claim 1 or 2, wherein the processing the first PPG signal according to the current sensing capacitance signal of the user to obtain the second PPG signal comprises:

Acquiring a relationship curve between a plurality of sensing capacitance signals of the user and a plurality of PPG signals;

Obtain a third PPG signal through the relationship curve and the current sensing capacitance signal of the user;

Modify the first PPG signal according to the third PPG signal to obtain the second PPG signal.
The method according to claim 3, wherein said obtaining the relationship curve between the plurality of inductive capacitance signals of the user and the plurality of PPG signals comprises:

Determining a first relationship between a plurality of inductive capacitance signals of the user and a plurality of distances, where the distance is the distance between the wearable device and the user;

Determining a second relationship between the multiple PPG signals and the multiple distances;

The relationship curve is determined through the first relationship and the second relationship.
The method according to claim 4, wherein the modifying the first PPG signal according to the third PPG signal to obtain the second PPG signal comprises:

Determining the reference value of the first PPG signal;

Determining a correction coefficient, where the correction coefficient is a ratio between the third PPG signal and the reference value;

Calculate the product of the first PPG signal and the correction coefficient to obtain the second PPG signal.
The method according to claim 3 or 4, wherein the correcting the first PPG signal according to the third PPG signal to obtain the second PPG signal comprises:

Performing Fourier transform on the first PPG signal to obtain a transformed first PPG signal, and performing Fourier transform on the third PPG signal to obtain a transformed third PPG signal;

Within a preset spectrum range, fitting the transformed first PPG signal to obtain a fitted first PPG signal, and fitting the transformed third PPG signal to obtain a fitted third PPG signal;

The fitted first PPG signal is subtracted from the fitted third PPG signal to obtain the second PPG signal.
The method according to claim 2, further comprising:

If the target distance exceeds a preset threshold, the first PPG signal is rejected.
The method according to claim 7, further comprising:

If within the preset time, the number of times the target distance exceeds the preset threshold reaches the preset number of times, it is determined that the latest historical heart rate is the current heart rate;

or,

Then, the current heart rate is predicted based on the latest historical heart rate and the user's current sensing capacitance signal.
The method according to any one of claims 1-8, further comprising:

Obtain the acceleration signal of the wearable device through the accelerometer;

corresponding,

The processing the first PPG signal according to the current sensing capacitance signal of the user to obtain the second PPG signal includes:

Processing the second PPG signal according to the acceleration signal to obtain a fourth PPG signal;

The heart rate is calculated according to the fourth PPG signal.
The method according to claim 9, wherein the processing the second PPG signal according to the acceleration signal to obtain a fourth PPG signal comprises:

Acquiring the frequency spectrum data of the second PPG signal and the frequency spectrum data of the acceleration signal;

Determining the frequency at which the peak of the spectral data of the second PPG signal is located and the frequency at which the peak of the spectral data of the acceleration signal is located;

If the frequency of the peak of the spectral data of the second PPG signal matches the frequency of the peak of the spectral data of the acceleration signal, the peak of the spectral data of the second PPG signal is removed to obtain the first Four PPG signals.
A heart rate detection device, which is characterized in that it comprises:

The first acquisition module is configured to acquire the user's first PPG signal through the photoplethysmography PPG sensor;

The second acquisition module is configured to acquire the current sensing capacitance signal of the user through the capacitance sensor;

A processing module, configured to process the first PPG signal according to the current sensing capacitance signal of the user to obtain a second PPG signal;

The calculation module is used to calculate the heart rate based on the second PPG signal.
The device according to claim 11, further comprising:

A third acquisition module, configured to acquire a first relationship between a plurality of inductive capacitance signals of the user and a plurality of distances, where the distance is the distance between the wearable device and the user;

The first determining module is configured to determine a target distance based on the first relationship and the user's current sensing capacitance signal, where the target distance is the wearable corresponding to the user's current sensing capacitance signal in the first relationship The distance between the device and the user;

Correspondingly, the processing module is specifically used for:

If the target distance is less than or equal to the preset threshold, the first PPG signal is processed according to the current sensing capacitance signal of the user to obtain a second PPG signal.
The device according to claim 11 or 12, wherein the processing module comprises:

An obtaining sub-module, which is used to obtain the relationship curve between the plurality of sensing capacitance signals and the plurality of PPG signals of the user;

A processing sub-module, configured to obtain a third PPG signal through the relationship curve and the current sensing capacitance signal of the user;

The correction sub-module is configured to correct the first PPG signal according to the third PPG signal to obtain the second PPG signal.
The device according to claim 13, wherein the obtaining submodule is specifically configured to:

Determining a first relationship between a plurality of inductive capacitance signals of the user and a plurality of distances, where the distance is the distance between the wearable device and the user;

Determining a second relationship between the multiple PPG signals and the multiple distances;

The relationship curve is determined through the first relationship and the second relationship.
The device according to claim 14, wherein the correction sub-module is specifically configured to:

Determining the reference value of the first PPG signal;

Determining a correction coefficient, where the correction coefficient is a ratio between the third PPG signal and the reference value;

Calculate the product of the first PPG signal and the correction coefficient to obtain the second PPG signal.
The device according to claim 13 or 14, wherein the correction submodule is specifically configured to:

Performing Fourier transform on the first PPG signal to obtain a transformed first PPG signal, and performing Fourier transform on the third PPG signal to obtain a transformed third PPG signal;

Within a preset spectrum range, fitting the transformed first PPG signal to obtain a fitted first PPG signal, and fitting the transformed third PPG signal to obtain a fitted third PPG signal;

The fitted first PPG signal is subtracted from the fitted third PPG signal to obtain the second PPG signal.
The device of claim 12, wherein:

The processing module is further configured to remove the first PPG signal if the target distance exceeds a preset threshold.
The device according to claim 17, wherein the processing module is further configured to:

If within the preset time, the number of times the target distance exceeds the preset threshold reaches the preset number of times, it is determined that the latest historical heart rate is the current heart rate;

or,

Then, the current heart rate is predicted based on the latest historical heart rate and the user's current sensing capacitance signal.
The device according to any one of claims 11-18, further comprising:

The fourth acquisition module acquires the acceleration signal of the wearable device through the accelerometer;

corresponding,

The processing module is also used for:

Processing the second PPG signal according to the acceleration signal to obtain a fourth PPG signal;

The heart rate is calculated according to the fourth PPG signal.
The device according to claim 19, wherein the processing module is specifically configured to:

Acquiring the frequency spectrum data of the second PPG signal and the frequency spectrum data of the acceleration signal;

Determining the frequency at which the peak of the spectral data of the second PPG signal is located and the frequency at which the peak of the spectral data of the acceleration signal is located;

If the frequency of the peak of the spectral data of the second PPG signal matches the frequency of the peak of the spectral data of the acceleration signal, the peak of the spectral data of the second PPG signal is removed to obtain the first Four PPG signals.
A chip, characterized in that it comprises:

At least one processor; and

A memory communicatively connected with the at least one processor; wherein,

The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can execute any one of claims 1-10 Methods.
The chip according to claim 21, wherein the capacitance sensor comprises a capacitance electrode and a capacitance sampling circuit, and the chip further comprises:

The capacitance sampling circuit, the capacitance sampling circuit is connected to the at least one processor, and the capacitance sampling circuit is used to obtain a user's inductive capacitance signal.
The chip according to claim 21 or 22, wherein the photoplethysmographic PPG sensor comprises a light emitting device and a photoelectric conversion device, and the chip further comprises the photoelectric conversion device connected to the at least one processor.
The chip according to claim 23, wherein the light emitting device is integrated in the chip.
An electronic device, comprising: a photoplethysmography PPG sensor, a capacitance sensor, and a processor, the PPG sensor is connected to the processor, the capacitance sensor is connected to the processor, and the PPG sensor is used for To obtain the PPG signal and send the PPG signal to the processor, the capacitance sensor is used to obtain the user's current inductive capacitance signal, and send the user's current inductive capacitance signal to the processor, the The processor is used to execute the method according to any one of claims 1-8.
The electronic device according to claim 25, further comprising an accelerometer,

The accelerometer is connected to the processor, and the accelerometer is used to obtain an acceleration signal and send the acceleration signal to the processor, and the processor is used to execute any one of claims 9-10. The method described.
A computer storage medium, characterized in that the storage medium includes a computer program, and when the computer program is executed by a computer, the computer realizes the method according to any one of claims 1 to 10.