WO2023236657A1

WO2023236657A1 - Method for measuring blood pressure and electronic device

Info

Publication number: WO2023236657A1
Application number: PCT/CN2023/088642
Authority: WO
Inventors: 苏秀健; 刘毅
Original assignee: 荣耀终端有限公司
Priority date: 2022-06-10
Filing date: 2023-04-17
Publication date: 2023-12-14
Also published as: CN117243579A

Abstract

The present application provides a method for measuring blood pressure and an electronic device. The method comprises: acquiring a pulse wave signal of a user; acquiring an electrocardiographic signal of the user; acquiring a pulse transit time according to the pulse wave signal and the electrocardiographic signal; and calculating blood pressure parameters of the user according to the pulse transit time. The method disclosed herein calculates blood pressure parameters by means of combining a pulse wave signal and an electrocardiographic signal, and thus greatly improves the accuracy of blood pressure measurement, effectively avoids the problem of discomfort such as swelling caused by the multiple inflation and deflation processes of a cuff monitor and significantly improves the possibility of continuously measuring the blood pressure.

Description

Blood pressure measurement method and electronic device

Technical field

The present application relates to the field of measurement technology, and in particular to a blood pressure measurement method and electronic equipment.

Background technique

In the application scenarios of the existing technology, with the increasing demand of human beings for their own health awareness and the explosive release of smart wearable devices, there is a need for wearable products (such as smart watches) to measure blood pressure.

Currently, smart wearable blood pressure measurement mainly refers to traditional cuff inflation detection. However, cuff blood pressure monitoring requires an inflation and deflation process. The device automatically recognizes small pulses and distinguishes them to calculate blood pressure. However, the inflation and deflation process will cause arm swelling. Feeling, and need time to rest between multiple tests.

Therefore, a new blood pressure measurement method for wearable products is needed.

Contents of the invention

In response to the problem of how to measure blood pressure based on wearable products under the existing technology, this application provides a blood pressure measurement method and electronic device, and this application also provides a computer-readable storage medium.

The embodiments of this application adopt the following technical solutions:

In a first aspect, this application provides a blood pressure measurement method, which method is applied to electronic devices. The electronic device obtains the user's human body pulse wave signal and human body electrocardiogram signal, obtains the pulse conduction time based on the human body pulse wave signal and human body electrocardiogram signal, and calculates the user's human blood pressure physiological parameters based on the pulse conduction time.

Specifically, in an implementation manner of the first aspect, the process of the electronic device obtaining the pulse conduction time based on the human body pulse wave signal and the human body electrocardiogram signal includes:

The time difference between the peak of the human electrocardiogram signal and the trough of the human pulse wave signal is calculated as the pulse conduction time.

Specifically, in an implementation manner of the first aspect, the process of the electronic device calculating the physiological parameters of human blood pressure based on the pulse conduction time includes:

The pulse conduction time is substituted into the blood pressure calculation model to calculate the physiological parameters of human blood pressure. The blood pressure calculation model is a model of the relationship between pulse wave conduction velocity and blood pressure.

According to the method of the embodiment of the present application, the physiological parameters of human blood pressure are calculated by combining human pulse wave signals and human electrocardiogram signals, which can greatly improve the accuracy of blood pressure measurement and effectively avoid the problems caused by multiple inflation and deflation processes when using cuff inflatable measurement. Swelling and other physical discomfort problems greatly increase the possibility of continuous blood pressure measurement. Furthermore, since human pulse wave signals and human electrocardiogram signals can be measured and acquired based on portable devices, the methods of the embodiments of the present application can be implemented using portable devices, which greatly improves the application flexibility of the blood pressure measurement method and expands the application of blood pressure measurement. Scenes.

Further, in an implementation manner of the first aspect, the human body pulse wave signal acquired by the electronic device is collected Signals collected using photoplethysmography. The portable device uses photoplethysmography to collect human pulse wave signals, which can effectively simplify the structure of the portable device, control hardware costs, greatly reduce the power consumption of the portable device when measuring blood pressure, and increase the battery life of the device.

Specifically, in an implementation manner of the first aspect, the human body pulse wave signal acquired by the electronic device is a signal collected by smart glasses. The electronic device itself is the smart glasses that collect human body pulse wave signals, or in the process of the electronic device acquiring the human body pulse wave signals: the electronic device receives the human body pulse wave signals sent by the smart glasses.

Further, in an implementation manner of the first aspect, the human body electrocardiogram signal acquired by the electronic device is a signal acquired based on the potential difference between different positions of the human body. The portable device collects human pulse wave signals based on the potential difference between different positions of the human body, which can effectively simplify the structure of the portable device, control hardware costs, greatly reduce the power consumption of the portable device when measuring blood pressure, and improve the battery life of the device.

Specifically, in an implementation manner of the first aspect, the human body electrocardiogram signal acquired by the electronic device is a signal collected by a smart watch. The electronic device itself is a smart watch that collects human body pulse wave signals, or in the process of the electronic device acquiring human body electrocardiogram signals: the electronic device receives human body electrocardiogram signals sent by the smart watch.

In a second aspect, the present application provides an electronic device, which is used to provide human body pulse wave signals required to implement the blood pressure measurement method of the first aspect. Specifically, electronic equipment includes:

A photoplethysmography measuring device is used to collect the user's human body pulse wave signal based on the photoplethysmography method. The human body pulse wave signal is used to calculate the user's human body blood pressure physiological parameters based on the method described in the first aspect.

In an implementation manner of the third aspect, the electronic device collects the human body pulse wave signal and then sends the human body pulse wave signal to another electronic device, and the other electronic device implements the blood pressure measurement method of the first aspect. Specifically, in addition to the first measurement module, the electronic device also includes: a communication device, which is used to establish a communication connection with other electronic devices and send the human body pulse wave signals collected by the photoplethysmography measurement device to other electronic devices. .

In an implementation manner of the third aspect, the electronic device also receives human body electrocardiogram signals collected by other devices, and implements the blood pressure measurement method of the first aspect based on the human body pulse wave signals collected by itself and the received human body electrocardiogram signals. Specifically, in addition to the first measurement module, the electronic device also includes:

A communication device, which is used to establish a communication connection with other electronic equipment and receive the user's human electrocardiogram signal collected by other electronic equipment;

A memory for storing computer program instructions and a processor for executing computer program instructions, wherein when the computer program instructions are executed by the processor, the electronic device is triggered to execute the first aspect according to the human body pulse wave signal and the human body electrocardiogram signal. The method described above calculates the physiological parameters of the user's human blood pressure.

In order to facilitate the collection of human body pulse wave signals, in an implementation manner of the third aspect, the electronic device is smart glasses. Specifically, in order to ensure that the first measurement module can be close to human skin and collect accurate human pulse wave signals, in an implementation manner of the third aspect, the first measurement module is installed at the corner of the temple of the smart glasses.

In a third aspect, the present application provides an electronic device, which is used to provide a blood pressure device that implements the first aspect. Human electrocardiogram signal required for measurement method. Specifically, electronic equipment includes:

An electrocardiogram signal acquisition device including a first electrode and a second electrode, the electrocardiogram signal acquisition device is used for:

When the first electrode and the second electrode respectively contact different positions on the user's body surface, measure the potential difference between the first electrode and the second electrode;

The user's human body electrocardiogram signal is obtained according to the potential difference, and the human body electrocardiogram signal is used to calculate the user's human body blood pressure physiological parameters based on the method described in the first aspect.

In an implementation manner of the third aspect, the electrocardiogram signal acquisition device further includes a third electrode, which is used to contact the user's body surface when the electrocardiogram signal acquisition device measures the potential difference between the first electrode and the second electrode, so that The electrocardiogram signal acquisition device eliminates common mode interference contained in the potential difference between the first electrode and the second electrode based on the signal collected by the third electrode.

In an implementation manner of the third aspect, the electronic device collects the human body electrocardiogram signal and then sends the human body electrocardiogram signal to another electronic device, and the other electronic device implements the blood pressure measurement method of the first aspect. Specifically, in addition to the electrocardiogram signal acquisition device, the electronic equipment also includes:

A communication device is used to establish communication connections with other electronic devices and send human electrocardiogram signals collected by the electrocardiogram signal acquisition device to other electronic devices.

In an implementation manner of the third aspect, the electronic device also receives human body pulse wave signals collected by other devices, and implements the blood pressure measurement method of the first aspect based on the human body electrocardiogram signals collected by itself and the received human body pulse wave signals. Specifically, in addition to the electrocardiogram signal acquisition device, the electronic equipment also includes:

A communication device, which is used to establish a communication connection with other electronic equipment and receive the user's human pulse wave signal collected by other electronic equipment;

A memory for storing computer program instructions and a processor for executing computer program instructions, wherein when the computer program instructions are executed by the processor, the triggering electronic device executes the first aspect according to the human body pulse wave signal and the human body electrocardiogram signal. The method described calculates the physiological parameters of the user's human blood pressure.

In order to facilitate the collection of human body pulse wave signals, in an implementation manner of the fourth aspect, the electronic device is a smart watch. Specifically, in an implementation manner of the fourth aspect, the first electrode of the electrocardiogram signal collection device is installed on the back of the smart watch; the second electrode of the electrocardiogram signal collection device is installed on the side of the smart watch.

In a fourth aspect, this application provides an electronic device used to implement the blood pressure measurement method of the first aspect. The electronic device calculates physiological parameters of human blood pressure based on human pulse wave signals and human electrocardiogram signals collected by other devices. Electronic equipment includes:

A communication device, which is used to establish communication connections with other electronic devices and receive the user's human pulse wave signals and human electrocardiogram signals collected by other electronic devices;

A memory for storing computer program instructions and a processor for executing computer program instructions, wherein when the computer program instructions are executed by the processor, the electronic device is triggered according to the human body pulse wave signal and the human body pulse wave signal. The body electrocardiogram signal is used to calculate the physiological parameters of the user's human blood pressure by performing the method described in the first aspect.

Specifically, in an implementation manner of the fourth aspect, the electronic device is a smart watch or a smartphone.

In a fifth aspect, this application provides a blood pressure measurement system, which includes smart glasses and a smart watch;

Specifically, the smart glasses include a photoplethysmography measuring device, the photoplethysmography measuring device is used to collect the user's human body pulse wave signal based on the photoplethysmography method, and the human body pulse wave signal is used to calculate the user's human body based on the method of the first aspect. blood pressure physiological parameters;

The smart watch includes an electrocardiogram signal acquisition device. The electrocardiogram signal acquisition device includes a first electrode and a second electrode. The electrocardiogram signal acquisition device is used to measure the first electrode when the first electrode and the second electrode respectively contact different positions on the user's body surface. The potential difference between the electrode and the second electrode; the user's human body electrocardiogram signal is obtained according to the potential difference, and the human body electrocardiogram signal is used to calculate the user's human body blood pressure physiological parameters based on the method of the first aspect.

In an implementation of the fifth aspect, the smart watch in the system is used to calculate the physiological parameters of human blood pressure, specifically:

The smart glasses also include a first communication device, which is used to establish a communication connection with the smart watch and send the human body pulse wave signal collected by the photoplethysmography measurement device to the smart watch;

The smart watch also includes a second communication device. The second communication device is used to establish a communication connection with the smart glasses and receive the user's human body pulse wave signal collected by the smart glasses;

The smart watch also includes a memory for storing computer program instructions and a processor for executing the computer program instructions. When the computer program instructions are executed by the processor, the smart watch is triggered to execute according to the human body pulse wave signal and the human body electrocardiogram signal. The user's human blood pressure physiological parameters are calculated using the method described in the first aspect.

In an implementation of the fifth aspect, smart glasses in the system are used to calculate physiological parameters of human blood pressure, specifically:

The smart watch also includes a second communication device. The second communication device is used to establish a communication connection with the smart glasses and send the human body electrocardiogram signal collected by the electrocardiogram signal acquisition device to the smart glasses;

The smart glasses also include a first communication device, which is used to establish a communication connection with the smart watch and receive the user's human electrocardiogram signal collected by the smart watch;

The smart glasses also include a memory for storing computer program instructions and a processor for executing the computer program instructions. When the computer program instructions are executed by the processor, the smart glasses are triggered to execute according to the human body pulse wave signal and the human body electrocardiogram signal. The user's human blood pressure physiological parameters are calculated using the method described in the first aspect.

In an implementation of the fifth aspect, in order to reduce the data processing pressure of smart watches and smart glasses, a smart phone is used to calculate physiological parameters of human blood pressure, specifically:

The system also includes a smartphone;

The smart glasses also include a first communication device, which is used to establish a communication connection with the smartphone and send the human body pulse wave signal collected by the photoplethysmography measurement device to the smartphone;

The smart watch also includes a second communication device. The second communication device is used to establish a communication connection with the smartphone and send the human body electrocardiogram signal collected by the electrocardiogram signal acquisition device to the smartphone;

The smart phone includes a third communication device. The third communication device is used to establish a communication connection with the smart watch and smart glasses, and receive the user's human body electrocardiogram signal collected by the smart phone and the user's human body pulse wave signal collected by the smart glasses;

The smart phone also includes a memory for storing computer program instructions and a processor for executing the computer program instructions. When the computer program instructions are executed by the processor, the smart phone is triggered to execute according to the human body pulse wave signal and the human body electrocardiogram signal. The user's human blood pressure physiological parameters are calculated using the method described in the first aspect.

In a fifth aspect, the present application provides a computer-readable storage medium that stores a computer program that, when run on a computer, causes the computer to execute all or part of the steps described in the first aspect. Method steps.

Description of the drawings

Figure 1 shows a schematic diagram of a blood pressure measurement application scenario according to an embodiment of the present application;

Figure 2 shows a flow chart of a blood pressure measurement method according to an embodiment of the present application;

Figure 3 shows a schematic diagram of the hardware structure according to an embodiment of the present application;

Figure 4 shows a schematic diagram of ECG signal and PPG signal waveforms according to an embodiment of the present application;

Figure 5 shows a schematic diagram of a blood pressure measurement application scenario according to an embodiment of the present application;

Figure 6 shows a flow chart of a blood pressure measurement method according to an embodiment of the present application;

Figure 7 shows a schematic diagram of the hardware structure according to an embodiment of the present application.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present application clearer, the technical solutions of the present application will be clearly and completely described below in conjunction with specific embodiments of the present application and corresponding drawings. Obviously, the described embodiments are only some 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 those of ordinary skill in the art without creative efforts fall within the scope of protection of this application.

The terms used in the embodiments of the present application are only used to explain specific embodiments of the present application and are not intended to limit the present application.

For the blood pressure measurement solution of portable devices, a feasible implementation solution is to use cuff inflatable measurement. However, when using cuff inflatable measurement, multiple inflation and deflation processes will cause swelling and other physical discomfort, which will greatly reduce the user experience and greatly reduce the possibility of continuous blood pressure measurement.

For the blood pressure measurement solution of portable devices, another feasible implementation solution is to use photoplethysmography (PPG) to measure blood pressure. However, using PPG alone to measure blood pressure requires calculating the pulse wave conduction time by identifying pulse wave characteristic points, so the signal accuracy is required to be high. human hair The distribution of richness of capillaries is different, and the scenarios where blood pressure can be measured through this solution are mostly fingers or ear cavities. Because the wrist has fewer carpal joints and capillaries than the fingers, it is more difficult to accurately measure blood pressure using this method.

In view of the shortcomings of the above blood pressure measurement scheme, this application provides a blood pressure measurement method and blood pressure measurement system.

Specifically, FIG. 1 shows a schematic diagram of a blood pressure measurement application scenario according to an embodiment of the present application. As shown in FIG. 1 , the blood pressure measurement system includes smart glasses 110 and a smart watch 120 . Figure 2 shows a flow chart of a blood pressure measurement method according to an embodiment of the present application. The smart glasses 110 and the smart watch 120 execute the method flow shown in Figure 2 to implement blood pressure measurement.

S210, the smart glasses 110 collect human body pulse wave signals.

The embodiment of the present application does not specifically limit the manner in which the smart glasses 110 collect pulse wave signals. Those skilled in the art can design the hardware structure of the smart glasses 110 and the method of collecting pulse wave signals according to actual needs.

For example, the smart glasses 110 use photoplethysmography (PPG) to collect pulse wave signals (PPG signals).

Figure 3 shows a schematic diagram of the hardware structure of smart glasses 110 and smart watch 120 according to an embodiment of the present application.

As shown in FIG. 3 , smart glasses 110 include a PPG measurement device 111 . Specifically, in one implementation, the PPG measurement device 111 includes a green LED and two PDs.

The PPG measurement device 111 is installed at the corner of the temple of the smart glasses 110 (position 101 or 102 as shown in Figure 1). When the user wears the smart glasses 110, the temples of the smart glasses 110 are in close contact with human skin when they are turned. Since capillaries are abundant at the contact point between the temple corners of the smart glasses 110 and human skin, and are less affected by interference from hair and movement during measurement, the PPG measurement device 111 can collect accurate PPG signals.

S220, the smart watch 120 collects human electrocardiogram (ECG) signals.

The embodiment of the present application does not specifically limit the manner in which the smart watch 120 collects ECG signals. Those skilled in the art can design the hardware structure of the smart watch 120 and the method of collecting ECG signals according to actual needs.

For example, in one implementation, as shown in FIG. 3 , the smart watch 120 includes an electrocardiogram signal acquisition device 121 . The electrocardiogram signal acquisition device 121 acquires ECG signals based on potential differences between different positions of the human body.

Specifically, the electrocardiogram signal acquisition device 121 includes a first electrode ECGP (positive) and a second electrode ECGN (negative). When collecting ECG signals, the first electrode ECGP and the second electrode ECGN respectively contact different positions of the human skin, and the electrocardiogram signal acquisition device 121 measures the potential difference between the first electrode ECGP and the second electrode ECGN; the electrocardiogram signal acquisition device 121 measures the potential difference between the first electrode ECGP and the second electrode ECGN. The measured potential difference between the first electrode ECGP and the second electrode ECGN acquires the user's ECG signal.

Specifically, the first electrode ECGP is installed on the back of the smart watch 120 . When the user wears the smart watch 120, the first electrode ECGP is in close contact with the skin of the user's wrist.

The second electrode ECGN is installed on the side of the smart watch 120 . When collecting ECG signals, the user touches the second electrode ECGN with his finger, and the electrocardiogram signal acquisition device 121 measures the potential difference between the user's wrist (the contact position of the first electrode ECGN) and the user's finger (the contact position of the second electrode ECGN) to determine the potential difference according to the potential difference. Collect ECG signals.

Furthermore, the ECG signal is a weak signal at the mV level. The measurement of the ECG signal has the following problems: on the one hand, the 50Hz to 60Hz capacitive coupling interference from the ECG main power supply is much stronger than the heart signal; on the other hand, the contact with the body's skin Impedance and impedance mismatch between sensors, which can lead to larger deviations and reduced common-mode rejection. If only two electrodes are used for measurement, the collection process will be affected by common-mode interference signals in the environment and space, and the quality of the collected ECG signals will be very poor.

Therefore, in one implementation, the electrocardiogram signal acquisition device 121 further includes a third electrode ECGR (right-leg). The third electrode ECGR is used to contact the user's body surface when the electrocardiogram signal acquisition device 121 measures the potential difference between the first electrode ECGN and the second electrode ECGN, so that the electrocardiogram signal acquisition device 121 eliminates the third electrode based on the signal collected by the third electrode ECGR. Common mode interference contained in the potential difference between one electrode ECGN and the second electrode ECGN.

Specifically, when collecting ECG signals, the third electrode ECGR contacts the human body surface. Since the third electrode ECGR contacts the human body surface, common-mode interference signals in the environment and space will affect the third electrode ECGR. By introducing the third electrode ECGR as a negative feedback signal into the measurement result of the potential difference between the contact position of the first electrode ECGN and the contact position of the second electrode ECGN, the potential difference between the contact position of the first electrode ECGN and the contact position of the second electrode ECGN can be offset. Contains common mode interference.

Specifically, in one implementation, the third electrode ECGR is installed on the back of the smart watch 120. When the user wears the smart watch 120, the third electrode ECGR is in close contact with the skin of the user's wrist.

S230, the smart glasses 110 send the collected PPG signal to the smart watch 120.

As shown in FIG. 3 , the smart glasses 110 are also equipped with a communication device 112 (a first communication device), and the smart watch 120 is also equipped with a communication device 124 (a second communication device). The communication device 112 and the communication device 124 are used to establish a communication connection between the smart glasses 110 and the smart watch 120 . The communication device 112 outputs the PPG signal collected by the PPG measurement device 111 , and the communication device 124 receives the PPG signal sent by the communication device 112 .

Specifically, in an implementation manner, in S230, the smart glasses 110 may synchronously send the collected PPG signals to the smart watch 120 during the process of collecting the PPG signals. For example, at a time interval of 0.5 seconds, after each 0.5 second PPG signal is collected, the collected 0.5 second PPG signal is sent to the smart watch 120 until a complete PPG signal collection is completed. For example, a blood pressure calculation requires the collection of 30 seconds of PPG signals. During a complete PPG signal collection process, the PPG signals are sent a total of 60 times at intervals of 0.5 seconds.

In another implementation, in S230, the smart glasses 110 can send the collected PPG signals to the smart watch 120 after a complete PPG signal collection is completed. For example, a blood pressure calculation requires the collection of 30 seconds of PPG signals. After the 30 seconds of PPG signal collection is completed, 30 seconds of PPG signals are sent at a time.

Further, in S230, a variety of different communication methods can be used. For example, Bluetooth communication method. Specifically, the communication device 112 and the communication device 124 are Bluetooth modules. The communication device 112 and the communication device 124 establish a communication connection through Bluetooth. The Bluetooth protocol includes time stamp information corresponding to each sampling point. For another example, in the WIFI communication mode, the communication device 112 and the communication device 124 are WIFI modules.

After the smart watch 120 collects the ECG signal and receives the PPG signal sent by the smart glasses, the smart watch 120 can calculate the physiological parameters of human blood pressure based on the PPG signal and the ECG signal.

As shown in Figure 3, the smart watch 120 is also equipped with a blood pressure calculation module 125. The blood pressure calculation module 125 is used to calculate human blood pressure physiological parameters based on the ECG signal collected by the electrocardiogram signal acquisition device 121 and the PPG signal received by the communication device 124.

Specifically, the blood pressure calculation module 125 may be based on an independent chip structure, or may be based on an original chip structure in the smart watch 120 (for example, the main processing chip of the smart watch 120). The blood pressure calculation module 125 includes a memory for storing computer program instructions and a processor for executing the computer program instructions. When the computer program instructions are executed by the processor, the blood pressure calculation module 125 is triggered according to the human pulse wave signal and the human electrocardiogram. signal to calculate the user's physiological parameters of human blood pressure.

Specifically, the blood pressure calculation module 125 calculates the time difference between the ECG signal peak and the human pulse wave signal trough as the pulse transit time (PTT). Bring PTT into the blood pressure calculation model to measure the physiological parameters of human blood pressure.

S240, the smart watch 120 (blood pressure calculation module 125) identifies the ECG peak of the ECG signal and the PPG trough of the PPG signal immediately after the ECG peak through the feature points.

S250, the smart watch 120 (blood pressure calculation module 125) calculates the time difference between the ECG wave peak and the PPG wave trough immediately after the ECG wave peak as the PTT.

Figure 4 shows a schematic diagram of ECG signal and PPG signal waveforms according to an embodiment of the present application.

As shown in FIG. 4 , waveform 301 and waveform 302 are respectively the ECG signal waveform and PPG signal waveform of the same user; the time axis coordinate systems of waveform 301 and waveform 302 in the horizontal direction are consistent. Point 311 on the waveform 301 is the R wave top of the ECG; point 321 on the waveform 302 is the PPG signal trough; point 322 on the waveform 302 is the PPG signal peak. The distance (time difference 330) between point 311 and point 321 in the horizontal direction is PTT.

Specifically, in order to calculate the time difference between the ECG wave peak and the PPG wave trough immediately after the ECG wave peak, in one implementation, in S210, the smart glasses 110 collect PPG signals for each sampling point during the process of the PPG measurement device 111. Mark the timestamp information at that time. In S220, during the process of collecting the ECG signal by the electrocardiogram signal collecting device 121, the smart watch 120 marks the current timestamp information for each sampling point. In S230, while the smart glasses 110 send the collected PPG signals to the smart watch 120, the smart glasses 110 send the timestamp information attached when collecting the PPG signals to the smart watch 120. In S250, the smart watch 120 uses the timestamp corresponding to the ECG wave peak and the time corresponding to the PPG wave trough immediately after the ECG wave peak. Stamp, calculate the difference (time difference) between two timestamps.

In another implementation, in S210 and S220, the time when the collection of the PPG signal and the ECG signal starts is recorded respectively, and the sampling rate of the collection of the PPG signal and the ECG signal is recorded respectively. In S230, while the smart glasses 110 send the collected PPG signals to the smart watch 120, the smart glasses 110 send the time to start collecting the PPG signals and the sampling rate of collecting the PPG signals to the smart watch 120. In S250, the smart watch 120 draws the PPG signal waveform based on the sampling rate of collecting the PPG signal, and draws the ECG signal waveform based on the sampling rate of the ECG signal. The abscissas of the PPG signal waveform and the ECG signal waveform are time, and the PPG signal waveform and the ECG signal are The abscissa scales of the waveforms are consistent; the smart watch 120 superimposes the PPG signal waveform and the ECG signal waveform onto the same time axis according to the time when the PPG signal and ECG signal start to be collected, so that the ECG wave peak and after the ECG wave peak can be read on the time axis. The time difference between immediately adjacent PPG troughs.

S260, the smart watch 120 (blood pressure calculation module 125) substitutes the calculated PTT into the blood pressure calculation model to calculate the physiological parameters of human blood pressure.

Specifically, in one implementation, the blood pressure calculation module 125 uses the relationship model between pulse wave conduction velocity and blood pressure as the blood pressure calculation model to calculate the blood pressure value according to PTT. For example, the Moens-Korteweg model is used as the blood pressure calculation model. In other implementations, other blood pressure calculation models may also be used.

In the Moens-Korteweg model, the calculation formula of the pulse wave propagation velocity (C) in the elastic pipe is:

In formula (1), E is Young's elastic modulus, h represents the thickness of the elastic tube wall (blood vessel wall), D is the inner diameter of the elastic tube (blood vessel) in equilibrium, and ρ is the fluid density (blood density).

The greater the elasticity of the arterial blood vessel (that is, the greater the compliance, the smaller the E), the smaller the propagation speed of the pulse wave; the smaller the diameter of the artery, the greater the speed. Typically along the aorta, to large arteries, and then to smaller arteries, the pulse wave propagates at increasing speeds. Let K be the propagation velocity coefficient of the pulse wave corresponding to different arteries of the human body.

The propagation speed formula of human arterial pulse wave is:

In formula (2), PWV is the propagation velocity of human arterial pulse wave, and the human aortic coefficient K is 0.8.

It can be seen from formula (2) that PWV is proportional to E. The larger E is, the faster the pulse wave propagates.

Assuming that the equivalent length of human blood vessels is L, according to the velocity-time formula, the pulse wave conduction time (PTT) of human arteries is:

The relationship between the vascular elastic modulus E and the vascular transbrachial pressure (the difference between the internal and external pressures of the blood vessels) P is:
E＝E ₀ ×e ^αP (4)

In formula (4), E ₀ is the elastic modulus of blood vessels when P is 0, α represents the characteristics of blood vessels, and the numerical value 0.016～0.018mmHg ^-1 .

According to formula (2)(3)(4), we can know

Equation 5 can be simplified to the following blood pressure calculation model:
P＝A+BInPTT (6)

Therefore, before performing the blood pressure calculation in the embodiment of the present application, through joint detection and calculation of PTT parameters by multiple devices, and fitting the parameters A and B in the optimization formula 6, the blood pressure calculation model for calculating human blood pressure can be obtained.

In S260 of the embodiment of the present application, after entering the fitting values of parameters A and B, the blood pressure P can be calculated according to PPT based on Formula 6.

According to the method of the embodiment of the present application, the pulse conduction time PTT is determined based on the human pulse wave signal and the human electrocardiogram signal; the blood pressure calculation model (Formula 6) is used to calculate the human blood pressure physiological parameters based on the PTT, which can greatly improve the accuracy of blood pressure measurement. Moreover, since human pulse wave signals and human electrocardiogram signals can be measured and obtained based on portable devices, the methods of the embodiments of the present application can be implemented using portable devices, which greatly improves the application flexibility of the blood pressure measurement method and expands the application scenarios of blood pressure measurement. .

According to the method of the embodiment of the present application, physical discomfort problems such as swelling caused by multiple inflation and deflation processes when using a cuff inflatable measurement can be effectively avoided, greatly improving the possibility of continuous blood pressure measurement. Moreover, compared with the cuff inflatable measurement solution, the method according to the embodiments of the present application can greatly simplify the structure of the portable device and effectively control the hardware cost.

Furthermore, compared with the inflatable cuff measurement solution, due to the reduction of mechanical components, the method according to the embodiments of the present application can greatly reduce the power consumption of the portable device when measuring blood pressure and improve the battery life of the device.

It should be noted here that, on the premise of successfully collecting human pulse wave signals and human electrocardiogram signals, this application does not impose specific restrictions on the portable devices used for signal collection.

In other embodiments of the present application, other portable devices other than smart glasses may also be used to collect human body pulse wave signals. For example, smart watches or smart bracelets are used to collect human pulse wave signals.

In other embodiments of the present application, other portable devices other than smart watches may also be used to collect human electrocardiogram signals. For example, smart glasses or smart bracelets are used to collect human pulse wave signals.

In other embodiments of the present application, the same portable device can also be used to simultaneously collect human pulse wave signals and human electrocardiogram signals. For example, a smart watch is used to collect human pulse wave signals and human electrocardiogram signals, or a smart bracelet is used to collect human body pulse wave signals and human electrocardiogram signals.

Furthermore, the embodiments of this application do not specifically limit the implementation equipment for calculating the physiological parameters of human blood pressure based on human pulse wave signals and human electrocardiogram signals. In other embodiments of the present application, other portable devices other than smart watches may also be used to calculate physiological parameters of human blood pressure.

For example, smart glasses are used to calculate physiological parameters of human blood pressure. In the system shown in Figure 1, the smart watch 120 It includes a communication device (second communication device, refer to the communication device 124), the communication device of the smart watch 120 is used to establish a communication connection with the smart glasses 110, and send the human body electrocardiogram signal collected by the electrocardiogram signal acquisition device 121 to the smart glasses 110;

The smart glasses 110 include a communication device (first communication device, refer to the communication device 112). The communication device of the smart glasses 110 is used to establish a communication connection with the smart watch 120 and receive the user's human electrocardiogram signal collected by the smart watch 120;

The smart glasses 110 are configured with a blood pressure calculation module (refer to the blood pressure calculation module 125 ). The blood pressure calculation module of the smart glasses 110 is used to calculate the user's human blood pressure physiological parameters based on the human pulse wave signal and the human electrocardiogram signal.

Furthermore, in actual application scenarios, calculating the physiological parameters of human blood pressure based on human pulse wave signals and human electrocardiogram signals requires computing resources of the processor. In order to reduce the data processing pressure of the portable device, in one embodiment of the present application, the portable device is only used for data collection (collecting PPG signals and ECG signals), and other devices other than the portable device (for example, mobile phones, tablets, laptops, etc.) are used. computer, desktop) to calculate the physiological parameters of human blood pressure.

For example, a smartphone is used to calculate the physiological parameters of human blood pressure. The system shown in Figure 1 also includes a smartphone. The smartphone includes a communication device (third communication device) and a blood pressure calculation module (refer to the blood pressure calculation module 125).

The smart glasses 110 include a communication device (first communication device, refer to the communication device 112). The communication device of the smart glasses 110 is used to establish a communication connection with the smart phone and send the human body pulse wave signal collected by the photoplethysmography measurement device to the smart phone. cell phone;

The smart watch 120 includes a communication device (second communication device, refer to the communication device 124). The communication device of the smart watch 120 is used to establish a communication connection with the smart phone and send the human body electrocardiogram signal collected by the electrocardiogram signal acquisition device to the smart phone;

The communication device of the smartphone is used to establish a communication connection with the smart watch 120 and the smart glasses 110, and receive the user's human body electrocardiogram signal collected by the smart watch 120 and the user's human body pulse wave signal collected by the smart glasses 110;

The blood pressure calculation module of the smartphone is used to calculate the user's physiological parameters of human blood pressure based on human pulse wave signals and human electrocardiogram signals.

As another example, FIG. 5 shows a schematic diagram of a blood pressure measurement application scenario according to an embodiment of the present application.

As shown in FIG. 5 , the blood pressure measurement system includes an earphone 510 (the earphone 510 can be a left ear earphone or a right ear earphone), a smart watch 520 and a smart phone 530 .

Figure 6 shows a flow chart of a blood pressure measurement method according to an embodiment of the present application. The earphone 510, the smart watch 520 and the smart phone 530 execute the method flow shown in Figure 6 to implement blood pressure measurement.

S610, earphone 510 collects human body pulse wave signals. (Refer to S210)

Figure 7 shows a schematic diagram of the hardware structure of the earphone 510, the smart watch 520 and the smart phone 530 according to the embodiment of the present application.

As shown in FIG. 7 , the earphone 510 includes a PPG measurement device 511 , and the PPG measurement device 511 may be referred to the PPG measurement device 111 .

S620, smart watch 520 collects human electrocardiogram (ECG) signals. (Refer to S220)

As shown in FIG. 7 , an electrocardiogram signal acquisition device 521 is installed in the smart watch 520 . The electrocardiogram signal acquisition device 521 may refer to the electrocardiogram signal acquisition device 121 .

S630, the headset 510 will collect the PPG signal and send it to the smartphone 530.

S640, the smart watch 520 will collect the ECG signal and send it to the smart phone 530. (Refer to S230)

As shown in FIG. 7 , a communication device 512 is also installed in the earphone 510 , a communication device 524 is also installed in the smart watch 520 , and a communication device 534 is also installed in the smart phone 530 . The communication device 512 , the communication device 524 and the communication device 534 may refer to the communication device 112 and the communication device 124 .

S650: After the smartphone 530 receives the ECG signal and the PPG signal, the smartphone 530 calculates the physiological parameters of human blood pressure based on the PPG signal and the ECG signal. (Refer to S240-S260)

As shown in FIG. 7 , a blood pressure calculation module 535 is also installed in the smartphone 530 . The blood pressure calculation module 535 may refer to the blood pressure calculation module 125 .

In the description of the embodiments of the present application, for the convenience of description, the device is described by dividing its functions into various modules. The division of each module is only a division of logical functions. When implementing the embodiments of the present application, each module can be divided into The functionality of a module is implemented in the same or more software and/or hardware.

Specifically, during actual implementation, the device proposed in the embodiment of the present application may be fully or partially integrated into a physical entity, or may be physically separated. And these modules can all be implemented in the form of software calling through processing elements; they can also all be implemented in the form of hardware; some modules can also be implemented in the form of software calling through processing elements, and some modules can be implemented in the form of hardware. For example, the detection module can be a separate processing element, or can be integrated into a chip of the electronic device. The implementation of other modules is similar. In addition, all or part of these modules can be integrated together or implemented independently. During the implementation process, each step of the above method or each of the above modules can be completed by instructions in the form of hardware integrated logic circuits or software in the processor element.

For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more specific integrated circuits (Application Specific Integrated Circuit, ASIC), or one or more digital signal processors ( Digital Singnal Processor, DSP), or one or more Field Programmable Gate Array (Field Programmable Gate Array, FPGA), etc. For another example, these modules can be integrated together and implemented in the form of a System-On-a-Chip (SOC).

An embodiment of the present application also provides an electronic device (for example, smart glasses). The electronic device includes:

Photoplethysmography measurement device (for example, PPG measurement device 111), which is used to collect the user's human body pulse wave signal based on the photoplethysmography method. The human body pulse wave signal is used to calculate the user's human body pulse wave signal based on the method provided by the embodiment of the present application. blood pressure physiological parameters;

A communication device is used to establish communication connections with other electronic devices and send human pulse wave signals collected by the photoplethysmography measurement device to other electronic devices.

A memory for storing computer program instructions and a processor for executing computer program instructions, wherein when the computer program instructions are executed by the processor, the electronic device is triggered to execute the present application based on human body pulse wave signals and human body electrocardiogram signals. The embodiment provides a method to calculate the user's physiological parameters of human blood pressure.

An embodiment of the present application also provides an electronic device (for example, a smart watch). The electronic device includes:

An electrocardiogram signal acquisition device (for example, the electrocardiogram signal acquisition device 121) including a first electrode, a second electrode, and a third electrode. The electrocardiogram signal acquisition device is used to: contact the first electrode and the second electrode at different points on the user's body surface respectively. position, measure the potential difference between the first electrode and the second electrode; obtain the user's human body electrocardiogram signal according to the potential difference, and the human body electrocardiogram signal is used to calculate the user's human body blood pressure physiological parameters based on the method provided by the embodiment of the application; and , when measuring the potential difference between the first electrode and the second electrode, when the third electrode contacts the user's body surface, the common mode interference contained in the potential difference between the first electrode and the second electrode is eliminated based on the signal collected by the third electrode. ;

A memory for storing computer program instructions and a processor for executing the computer program instructions, wherein: When the computer program instructions are executed by the processor, the electronic device is triggered to execute the method provided by the embodiments of the present application to calculate the physiological parameters of the user's human blood pressure based on the human pulse wave signal and the human electrocardiogram signal.

An embodiment of the present application also provides an electronic device (for example, a smart watch or a smart phone). The electronic device includes:

Specifically, in one embodiment of the present application, the one or more computer programs are stored in the memory. The one or more computer programs include instructions. When the instructions are executed by the device, the device executes the application. Method steps described in the examples.

Specifically, in an embodiment of the present application, the processor of the electronic device may be an on-chip device SOC, and the processor may include a central processing unit (Central Processing Unit, CPU), and may further include other types of processors. Specifically, in an embodiment of the present application, the processor of the electronic device may be a PWM control chip.

Specifically, in an embodiment of the present application, the processor involved may include, for example, a CPU, a DSP, a microcontroller or a digital signal processor, and may also include a GPU, embedded neural network processor (Neural-network Process Units, NPU). ) and an image signal processor (Image Signal Processing, ISP), which may also include necessary hardware accelerators or logic processing hardware circuits, such as ASIC, or one or more integrated circuits used to control the execution of the program of the technical solution of this application wait. Additionally, the processor may have functionality to operate one or more software programs, which may be stored in a storage medium.

Specifically, in an embodiment of the present application, the memory of the electronic device may be a read-only memory (ROM), other types of static storage devices that can store static information and instructions, or a random access memory (random access memory). memory, RAM) or other types of dynamic storage devices that can store information and instructions, or electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory, CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or can also be used to carry or Any computer-readable medium that stores desired program code in the form of instructions or data structures and that can be accessed by a computer.

Specifically, in an embodiment of the present application, the processor and the memory can be combined into a processing device, which is more commonly independent of each other. The processor is used to execute the program code stored in the memory to implement the method described in the embodiment of the present application. . During specific implementation, the memory can also be integrated in the processor, or independent of the processor.

Furthermore, the equipment, devices, and modules described in the embodiments of this application may be implemented by computer chips or entities, or by products with certain functions.

Those skilled in the art should understand that embodiments of the present application may be provided as methods, devices, or computer program products. Thus, the invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the invention may take the form of a computer program product embodied on one or more computer-usable storage media embodying computer-usable program code therein.

In the several embodiments provided in this application, if any function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the existing technology or the part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application.

Specifically, an embodiment of the present application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program that, when run on a computer, causes the computer to execute the method provided by the embodiment of the present application.

An embodiment of the present application also provides a computer program product. The computer program product includes a computer program that, when run on a computer, causes the computer to execute the method provided by the embodiment of the present application.

The embodiments in this application are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices), and computer program products according to embodiments of the application. It will be understood that each process and/or block in the flowchart illustrations and/or block diagrams, and combinations of processes and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine, such that the instructions executed by the processor of the computer or other programmable data processing device produce a use A device for implementing the functions specified in one process or processes of the flowchart and/or one block or blocks of the block diagram.

These computer program instructions may also be stored in a computer-readable memory that causes a computer or other programmable data processing apparatus to operate in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including the instruction means, the instructions The device implements the functions specified in a process or processes of the flowchart and/or a block or blocks of the block diagram.

These computer program instructions may also be loaded onto a computer or other programmable data processing device, causing a series of operating steps to be performed on the computer or other programmable device to produce computer-implemented processing, thereby executing on the computer or other programmable device. Instructions provide steps for implementing the functions specified in a process or processes of a flowchart diagram and/or a block or blocks of a block diagram.

It should also be noted that in the embodiments of this application, "at least one" refers to one or more, and "multiple" refers to two or more. "And/or" describes the association of associated objects, indicating that there can be three relationships. For example, A and/or B can represent the existence of A alone, the existence of A and B at the same time, or the existence of B alone. Among them A, B Can be singular or plural. The character "/" generally indicates that the related objects are in an "or" relationship. "At least one of the following" and similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b and c can mean: a, b, c, a and b, a and c, b and c or a and b and c, where a, b, c can be single, also Can be multiple.

In the embodiments of this application, the terms "comprising", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, commodity or device that includes a series of elements not only includes those elements, but also includes Other elements are not expressly listed or are inherent to the process, method, article or equipment. Without further limitation, an element defined by the statement "comprises a..." does not exclude the presence of additional identical elements in a process, method, article, or device that includes the stated element.

The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including storage devices.

Each embodiment in this application is described in a progressive manner. The same and similar parts between the various embodiments can be referred to each other. Each embodiment focuses on its differences from other embodiments. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple. For relevant details, please refer to the partial description of the method embodiment.

Those of ordinary skill in the art can realize that each unit and algorithm step described in the embodiments of this application can be implemented by a combination of electronic hardware, computer software, and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each specific application, but such implementations should not be considered beyond the scope of this application.

Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the devices, devices and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be described again here.

The above are only specific embodiments of the present application. Any person familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, and they should be covered by the protection scope of the present application. The protection scope of this application shall be subject to the protection scope of the claims.

Claims

A blood pressure measurement method, characterized in that the method is applied to electronic equipment, and the method includes:

Obtain the user's human pulse wave signal;

Obtain the user's human electrocardiogram signal;

Obtain pulse conduction time according to the human body pulse wave signal and the human body electrocardiogram signal;

Calculate the physiological parameters of the user's human blood pressure based on the pulse conduction time.
The method according to claim 1, wherein obtaining the pulse conduction time according to the human body pulse wave signal and the human body electrocardiogram signal includes:

The time difference between the peak of the human electrocardiogram signal and the trough of the human pulse wave signal is calculated as the pulse conduction time.
The method according to claim 1, wherein calculating the physiological parameters of human blood pressure based on the pulse conduction time includes:

Substituting the pulse conduction time into a blood pressure calculation model to calculate the physiological parameters of human blood pressure, the blood pressure calculation model is a relationship model between pulse wave conduction velocity and blood pressure.
The method according to any one of claims 1 to 3, characterized in that the human body pulse wave signal is a signal collected by photoplethysmography.
The method according to any one of claims 1 to 3, characterized in that the human body electrocardiogram signal is a signal obtained based on the potential difference between different positions on the user's body surface.
An electronic device, characterized in that the electronic device includes:

Photoplethysmography measurement device, which is used to collect the user's human pulse wave signal based on the photoplethysmography method, and the human body pulse wave signal is used to calculate the user's pulse wave signal based on the method of any one of claims 1-5. Physiological parameters of human blood pressure.
The electronic device according to claim 6, characterized in that the electronic device further includes:

A communication device, which is used to establish a communication connection with other electronic equipment and send the human body pulse wave signal collected by the photoplethysmography measurement device to the other electronic equipment.
The electronic device according to claim 6, characterized in that the electronic device further includes:

A communication device, which is used to establish a communication connection with other electronic equipment and receive the user's human electrocardiogram signal collected by the other electronic equipment;

A memory for storing computer program instructions and a processor for executing computer program instructions, wherein when the computer program instructions are executed by the processor, the electronic device is triggered according to the human body pulse wave signal and the human body Electrocardiogram signal, perform the method according to any one of claims 1-5 to calculate the physiological parameters of human blood pressure of the user.
The electronic device according to any one of claims 6-8, characterized in that the electronic device is smart glasses.
The electronic device according to claim 9, characterized in that the photoplethysmography measuring device Installed at the corners of the temples of the smart glasses.
An electronic device, characterized in that the electronic device includes:

An electrocardiogram signal acquisition device including a first electrode and a second electrode, the electrocardiogram signal acquisition device is used for:

When the first electrode and the second electrode respectively contact different positions on the user's body surface, measure the potential difference between the first electrode and the second electrode;

The user's human body electrocardiogram signal is obtained according to the potential difference, and the human body electrocardiogram signal is used to calculate the user's human body blood pressure physiological parameters based on the method of any one of claims 1-5.
The electronic device according to claim 11, characterized in that the electrocardiogram signal acquisition device further includes:

A third electrode configured to contact the user's body surface when the electrocardiogram signal acquisition device measures the potential difference between the first electrode and the second electrode, so that the electrocardiogram signal acquisition device can measure the potential difference between the first electrode and the second electrode. The signal collected by the third electrode eliminates the common mode interference contained in the potential difference between the first electrode and the second electrode.
The electronic device according to claim 11, characterized in that the electronic device further includes:

A communication device, which is used to establish a communication connection with other electronic equipment and send the human body electrocardiogram signal collected by the electrocardiogram signal acquisition device to the other electronic equipment.
The electronic device according to claim 11, characterized in that the electronic device further includes:

A communication device configured to establish a communication connection with other electronic equipment and receive the user's human body pulse wave signal collected by the other electronic equipment;

A memory for storing computer program instructions and a processor for executing computer program instructions, wherein when the computer program instructions are executed by the processor, the electronic device is triggered according to the human body pulse wave signal and the human body Electrocardiogram signal, perform the method according to any one of claims 1-5 to calculate the physiological parameters of human blood pressure of the user.
The electronic device according to any one of claims 11-14, characterized in that the electronic device is a smart watch.
The electronic device according to claim 15, characterized in that:

The first electrode is installed on the back of the smart watch;

The second electrode is installed on the side of the smart watch.
An electronic device, characterized in that the electronic device includes:

A communication device, which is used to establish a communication connection with other electronic equipment and receive the user's human pulse wave signal and human electrocardiogram signal collected by the other electronic equipment;

A memory for storing computer program instructions and a processor for executing computer program instructions, wherein when the computer program instructions are executed by the processor, the electronic device is triggered according to the human body pulse wave signal and the human body Electrocardiogram signal, perform the method according to any one of claims 1-5 to calculate the physiological parameters of human blood pressure of the user.
The electronic device according to claim 17, characterized in that the electronic device is a smart watch or a smart phone.
A blood pressure measurement system, characterized in that the system includes:

Smart glasses, which include a photoplethysmography measurement device, the photoplethysmography measurement device is used to collect the user's human body pulse wave signal based on the photoplethysmography method, the human body pulse wave signal is used to collect the user's human pulse wave signal based on claims 1-5 The method described in any one calculates the physiological parameters of human blood pressure of the user;

A smart watch, which includes an electrocardiogram signal acquisition device. The electrocardiogram signal acquisition device includes a first electrode and a second electrode. The electrocardiogram signal acquisition device is used to: contact the user's wrist with the first electrode and the second electrode respectively. When the body surface is at different positions, the potential difference between the first electrode and the second electrode is measured; the human body electrocardiogram signal of the user is obtained according to the potential difference, and the human body electrocardiogram signal is used based on claims 1-5 The method described in any one of the above calculates the physiological parameters of human blood pressure of the user.
The system of claim 19, characterized in that:

The smart glasses also include a first communication device, the first communication device is used to establish a communication connection with the smart watch, and send the human body pulse wave signal collected by the photoplethysmography measurement device to the smart watch ;

The smart watch also includes a second communication device, the second communication device is used to establish a communication connection with the smart glasses and receive the user's human body pulse wave signal collected by the smart glasses;

The smart watch further includes a memory for storing computer program instructions and a processor for executing the computer program instructions, wherein when the computer program instructions are executed by the processor, the smart watch is triggered to respond to the human body pulse wave signal and the human body electrocardiogram signal, and perform the method according to any one of claims 1 to 5 to calculate the user's human body blood pressure physiological parameters.
The system of claim 19, characterized in that:

The smart watch also includes a first communication device, the first communication device is used to establish a communication connection with the smart glasses, and send the human body electrocardiogram signal collected by the electrocardiogram signal acquisition device to the smart glasses;

The smart glasses also include a second communication device, the second communication device is used to establish a communication connection with the smart watch and receive the user's human electrocardiogram signal collected by the smart watch;

The smart glasses also include a memory for storing computer program instructions and a processor for executing the computer program instructions, wherein when the computer program instructions are executed by the processor, the smart glasses are triggered to respond to the human body pulse wave signal and the human body electrocardiogram signal, and perform the method according to any one of claims 1 to 5 to calculate the user's human body blood pressure physiological parameters.
The system of claim 19, characterized in that:

The system also includes a smartphone;

The smart glasses also include a first communication device, the first communication device is used to establish a communication connection with the smart phone, and send the human body pulse wave signal collected by the photoplethysmography measurement device to the smart phone. machine;

The smart watch also includes a second communication device, the second communication device is used to establish a communication connection with the smart phone, and send the human body electrocardiogram signal collected by the electrocardiogram signal acquisition device to the smart phone;

The smart phone includes a third communication device. The third communication device is used to establish a communication connection with the smart watch and the smart glasses, and receive the user's human electrocardiogram signal collected by the smart watch and the smart phone. The user's human body pulse wave signal collected by the glasses;

The smart phone further includes a memory for storing computer program instructions and a processor for executing the computer program instructions, wherein when the computer program instructions are executed by the processor, the smart phone is triggered to respond to the human body pulse wave signal and the human body electrocardiogram signal, and perform the method according to any one of claims 1 to 5 to calculate the user's human body blood pressure physiological parameters.
A computer-readable storage medium, characterized in that a computer program is stored in the computer-readable storage medium, and when it is run on a computer, it causes the computer to execute all the steps described in any one of claims 1-5. or part of a method step.