WO2022033554A1

WO2022033554A1 - Pulse wave measurement apparatus and pulse wave measurement method thereof, system, and medium

Info

Publication number: WO2022033554A1
Application number: PCT/CN2021/112304
Authority: WO
Inventors: 曾岩; 邱凌志; 潘骏
Original assignee: 华为技术有限公司
Priority date: 2020-08-13
Filing date: 2021-08-12
Publication date: 2022-02-17
Also published as: CN114073496A

Abstract

Embodiments of the present application relates to pulse wave measurement technologies in the technical field of smart healthcare. Provided are a pulse wave measurement apparatus and a pulse wave measurement method thereof, a system, and a medium. The pulse wave measurement apparatus of the present application comprises a first device and a second device, and the first device and the second device are each provided with at least one pulse wave sensor. A user may respectively place the first device and the second device at own first and second positions, pulse waves at the first position and the second position are measured by the pulse wave sensors to obtain a first pulse wave signal and a second pulse wave signal, and a pulse wave velocity is calculated according to the first pulse wave signal and the second pulse wave signal. By means of the pulse wave measurement apparatus of the present application, the convenience of pulse wave measurement can be improved for the user.

Description

Pulse wave measurement device and pulse wave measurement method, system and medium thereof

The application requires the priority of the Chinese patent application filed on August 13, 2020, with the application number of 202010813388.2 and the application name "Pulse Wave Measurement Device and Pulse Wave Measurement Method, System and Medium", the entire content of which is by reference Incorporated in this application.

technical field

The present application relates to the field of intelligent medical technology, and in particular, to a pulse wave measurement device and a pulse wave measurement method, system and medium thereof.

Background technique

Cardiovascular and cerebrovascular diseases are currently the most common chronic diseases in my country, and increased arterial stiffness has been found to be associated with a variety of diseases, including coronary heart disease, fatal stroke, congestive heart failure, moderate chronic kidney disease, and rheumatoid arthritis. , systemic vasculitis, systemic lupus erythematosus, etc.

The pulse wave is formed by the systolic and diastolic movement of the heart along the arterial vessels through blood flow to the periphery. At present, PWV (Pulse wave velocity), especially aortic PWV, such as cfPWV (catroid-femoral artery pulse wave velocity), as an indicator of arterial stiffness, has obtained a large number of clinical applications. verify. Therefore, the measurement of PWV can realize the early screening of cardiovascular diseases such as arteriosclerosis, thereby effectively reducing the morbidity and mortality of arteriosclerosis-related diseases.

However, measuring cfPWV needs to be performed in a hospital, and the measurement process cannot be done alone, requiring the measurement personnel to have certain experience and expertise. Therefore, there is an urgent need for a convenient and accurate method for detecting arterial stiffness, which can help people better understand their cardiovascular health status and effectively reduce the health risks associated with arteriosclerosis.

SUMMARY OF THE INVENTION

Embodiments of the present application provide a pulse wave measurement device and a pulse wave measurement method, system, and medium thereof, which can conveniently measure pulse waves.

A first aspect of the present application provides a pulse wave measurement device, including: a first device, where the first device includes at least one pulse wave sensor for measuring the first pulse wave at the first position of the user by using the pulse wave sensor to obtain a first pulse wave signal; a second device, wirelessly communicating with the first device, the second device comprising at least one pulse wave sensor for measuring the second pulse wave through the pulse wave sensor at the second position of the user to obtain the second pulse wave signal, and calculate the pulse wave velocity from the second pulse wave signal and the first pulse wave signal received from the first device.

In a possible implementation of the above-mentioned first aspect, the first device and the second device are detachably connected.

The pulse wave measurement device is different from the existing pulse wave measurement device in the hospital, and the pulse wave measurement device can be composed of a detachable first device and a second device. The user can set the first device and the second device at the first position and the second position of the user alone, and measure the pulse wave through the pulse wave sensor set on the first device and the second device, which improves the pulse wave measurement accuracy. Convenience. Here, the number of pulse wave sensors that can be set on the first device and the second device can be greater than one, for example, two pulse wave sensors can be set on the first device to form an array of pulse wave sensors.

The pulse wave measuring device may be an electronic device, such as a smart watch, and the first device and the second device may be a dial and a base of the smart watch. PPG sensors belonging to the pulse wave sensor are respectively arranged on the dial and the base. The user can disassemble the dial and the base, and place them at the first and second positions of the user respectively, and perform PPG detection through the PPG sensor to obtain the PPG signals at the first and second positions. The first pulse wave signal and the second pulse wave signal at the first position and the second position are obtained from the PPG signal, respectively. Finally, the pulse wave conduction velocity of the user is calculated according to the first pulse wave signal and the second pulse wave signal.

In a possible implementation of the above-mentioned first aspect, the pulse wave measuring device is a smart bracelet or a smart watch.

In the case where the device is a smart bracelet, the first device and the second device may be the strap and body of the smart bracelet.

In a possible implementation of the above-mentioned first aspect, the first device is the base part of the pulse wave measuring device, and the second device is the dial part of the pulse wave measuring device.

In a possible implementation of the above-mentioned first aspect, the first device is a smart bracelet or a smart watch, and the second device is an earphone.

The user can measure the first pulse wave signal and the second pulse wave signal at the first position and the second position of the user by wearing the smart watch and the earphone through the pulse wave sensors respectively provided in the smart watch and the earphone.

In a possible implementation of the above-mentioned first aspect, the pulse wave sensor includes at least one of a photoelectric pulse wave sensor, a piezoelectric pulse wave sensor, and a piezoresistive pulse wave sensor.

In a possible implementation of the above-mentioned first aspect, the second device calculates the time difference between the pulse waves at the first position of the user and the second position of the user according to the first pulse wave signal and the second pulse wave signal, and converts the user's blood The ratio between the distance difference and the time difference passing through the first location and the second location is taken as the pulse wave velocity.

In this device, the first device and the second device respectively detect the first pulse wave signal and the second pulse wave signal within the same measurement time period. And calculate the time difference between the measured first pulse wave signal and the second pulse wave signal, at the same time, the first device and the second device also calculate the distance difference between the first position and the second position, and the distance difference and time difference are calculated. The ratio is used as the pulse wave velocity.

In a possible implementation of the above-mentioned first aspect, when at least one of the first pulse wave signal and the second pulse wave signal is smaller than a signal threshold, the first device and the second device re-measure the first pulse wave signal and the second pulse wave signal.

In this device, when the acquired first pulse wave signal and the second pulse wave signal are less than the signal threshold, that is, the signal is not good, the first device and the second device perform the first pulse wave signal and the second pulse wave again. Wave signal detection.

In a possible implementation of the above-mentioned first aspect, the second device calculates the time difference between the pulse waves at the first position of the user and the second position of the user according to the first pulse wave signal and the second pulse wave signal, including:

The second device acquires the first waveform diagram and the second waveform diagram corresponding to the first pulse wave signal and the second pulse wave signal;

The second device sets the first waveform graph and the second waveform graph in a coordinate system whose horizontal axis is the measurement duration, and the first waveform graph and the second waveform graph respectively include a plurality of troughs;

The second device acquires a plurality of pairs of troughs with the same position in the first waveform diagram and the second waveform diagram;

The second device calculates the time difference between the bottom points of each pair of troughs based on the measurement duration;

The average value of the time difference of each pair of troughs is taken as the time difference of the pulse wave between the first position of the user and the second position of the user.

In this device, the acquired first pulse wave signal and the second pulse wave signal are represented in the form of waveform graphs, and the above waveform graphs are set in a coordinate system with the measurement duration as the horizontal axis. The waveform diagrams of the first pulse wave signal and the second pulse wave signal respectively include at least one wave trough, and the bottom point of the wave trough is calculated by calculating the distance between the bottom points of the wave troughs at the same position in the two waveform diagrams on the horizontal axis of the coordinate system. time difference between points.

In a possible implementation of the above-mentioned first aspect, both the first device and the second device include a distance measuring sensor for measuring the distance difference between the user's blood flowing through the first position and the second position.

In a possible implementation of the above-mentioned first aspect, measuring the distance difference between the user's first location and the user's second location includes:

The ranging sensor of the first device sends out ultrasonic waves to the ranging sensor of the second device and starts to calculate the transit time;

After the first device receives the ultrasonic wave reflected by the second device, the first device finishes calculating the transit time;

The distance difference between the first location and the second location is calculated based on the transmission velocity and the transmission time of the ultrasonic waves.

In a possible implementation of the above-mentioned first aspect, the first device and the second device measure the distance difference by means of infrared ranging.

In a possible implementation of the above-mentioned first aspect, the distance difference is the distance difference used when measuring the historical pulse wave velocity.

Since the distance difference of the user usually does not change greatly, in this device, the historical data of the distance difference of the pulse wave measurement by the user is stored, and the historical data of the distance difference can be directly used when the user measures the pulse wave again. .

In a possible implementation of the above-mentioned first aspect, the distance difference between the first position of the user and the second position of the user is calculated according to the gender, age, height and weight of the user.

A second aspect of the present application provides a pulse wave measurement method, performing pulse wave measurement by a pulse wave measurement device, wherein the pulse wave measurement device includes a first device and a second device, and the second device and the first device can communicate wirelessly ;

Methods include:

acquiring the first pulse wave signal measured by the pulse wave sensor of the first device located at the first position of the user, and the second pulse wave signal measured by the pulse wave sensor of the second device located at the second position of the user;

The pulse wave velocity is calculated from the second pulse wave signal and the first pulse wave signal received from the first device.

A third aspect of the present application provides a system for pulse wave measurement, comprising:

a first device, the first device includes at least one pulse wave sensor for measuring the first pulse wave through the pulse wave sensor at the first position of the user to obtain the first pulse wave signal;

a second device, wirelessly communicating with the first device, and the first device includes at least one pulse wave sensor for measuring the second pulse wave through the pulse wave sensor at the second position of the user to obtain a second pulse wave signal;

and a server that calculates the pulse wave velocity from the second pulse wave signal and the first pulse wave signal received from the first device.

A fourth aspect of the present application provides a computer-readable medium on which instructions are stored, the instructions, when executed on a computer, cause the computer to execute the pulse wave measurement method of the second aspect of the present application.

A fifth aspect of the present application provides a pulse wave measurement device, comprising:

a first device including at least one pulse wave sensor, used for measuring the first pulse wave through the pulse wave sensor at the first position of the user to obtain the first pulse wave signal;

a second device in wireless communication with the first device, comprising

At least one pulse wave sensor is used to measure the second pulse wave through the pulse wave sensor at the second position of the user to obtain the second pulse wave signal,

memory, storing instructions, and

At least one processor configured to access the memory and configured to execute instructions on the memory to control the first device and the second device to obtain the first pulse wave signal and the second pulse wave signal, respectively, and to obtain the first pulse wave signal and the second pulse wave signal according to the second pulse wave signal and The pulse wave velocity is calculated from the first pulse wave signal received by the first device.

Description of drawings

FIG. 1 shows a scene of pulse wave measurement by the pulse wave measurement method provided by the present application according to some embodiments of the present application;

FIG. 2 shows a schematic diagram of the hardware structure of a smart watch involved in the present application according to some embodiments of the present application;

Fig. 3 shows a flow chart of pulse wave measurement of aorta according to some embodiments of the present application;

Fig. 4a shows a waveform diagram of the pulse wave measured according to Fig. 3 according to some embodiments of the present application;

Fig. 4b shows a scene diagram of pulse wave measurement of the aorta of Fig. 3 according to some embodiments of the present application;

Fig. 5 shows a flow chart of pulse wave measurement of aorta according to some embodiments of the present application;

FIG. 6 shows a scene diagram of pulse wave measurement of the aorta of FIG. 5 according to some embodiments of the present application;

Fig. 7 shows another scene diagram of pulse wave measurement of the aorta according to some embodiments of the present application;

FIG. 8 shows a schematic structural diagram of an electronic device according to some embodiments of the present application.

detailed description

The technical solutions of the embodiments of the present application will be further described in detail below through the accompanying drawings and embodiments.

As described above, in order to provide a convenient method for detecting arterial stiffness, an embodiment of the present application discloses a pulse wave measurement method. The measurement part is detected, and the pulse wave signal of the measurement part is obtained within a predetermined period of time. Then, the time difference between the blood transmission from the heart to the two measurement parts of the human body is determined according to the pulse wave signal, and then the distance difference between the two measurement parts is determined. The ratio of the time difference to calculate the human aortic PWV.

The above two different devices can be two parts of an electronic device, for example, the dial and base of the smart watch, the main body of the smart watch, and a set of pulse wave sensor accessories attached to the smart watch; they can also be independent of each other. Two different electronic devices, for example, a smart watch with a pulse wave sensor and a smart earphone with a pulse wave sensor.

The pulse wave measurement method of the embodiment of the present application is described below by taking the pulse wave sensor as a PPG sensor (Photo plethysmograph, photoplethysmograph) and different parts of the same electronic device measuring different parts of the human body as an example.

FIG. 1 provides a scene diagram of a pulse wave measurement method according to an embodiment of the present application. As shown in FIG. 1 , the application scenario includes: an electronic device 100 and an object to be measured 200 .

The electronic device 100 includes a detachable measuring part 110 and a measuring part 120, and each measuring part includes at least one PPG sensor and a ranging sensor. The measuring part 110 and the measuring part 120 are respectively placed at different measurement parts of the object to be measured 200, and after measuring for a certain period of time, the PPG signals of the two different parts are obtained. After that, the electronic device 100 calculates the transit time difference Δt of the two pulse waves at the two measurement sites according to the obtained PPG signal; at the same time, the electronic device 100 measures the vertical distance between the first measurement part and the second measurement part through the distance measuring sensor. The straight distance ΔL is the distance difference between the PPG signals of the two pulse waves described above, and the PWV is calculated by ΔL/Δt.

It can be understood that the above-mentioned measurement part 110 and measurement part 120 may include a plurality of PPG sensors, for example, PPG sensors are respectively provided on the measurement part 110 and the measurement part 120 to form an array of PPG sensors.

The above-mentioned PPG sensor is a kind of pulse wave sensor that detects the change of blood volume in living tissue by photoelectric means, and the blood volume here refers to the blood volume flowing through the blood vessel per unit time. The blood volume in the blood vessels changes in a waveform under the action of systolic and diastolic heart. When the heart contracts, the blood volume in the blood vessels is the largest, the light absorption is also the largest, and the detected light intensity is the smallest; while in the diastole, on the contrary, the blood volume in the blood vessels is the least, and the detected light intensity is the largest. The PPG sensor collects blood volume changes in the blood vessel, so that the light intensity detected by the PPG sensor also changes in waveform. The light intensity change signal is then converted into a PPG signal, and the pulse wave change can be obtained after calculating the PPG signal.

It can be understood that the electronic device 100 provided in the present application may be various electronic devices capable of performing PWV measurement using the aortic PWV measurement provided in the present application, including but not limited to watches, wristbands or wearable electronic devices such as glasses, helmets, and headbands. equipment, medical testing equipment, etc. It can be understood that the electronic device 100 can measure the PWV of the object to be measured 200 through the aortic PWV measurement device. The aortic PWV measurement device may be a part of the electronic device 100, or may be an independent device independent of the electronic device 100, and may be connected in communication with the electronic device 100 to transmit the measured aortic PWV of the object to be measured 200 to Electronic device 100 .

The pulse wave sensor provided by the present application may not only be a PPG sensor, but also include various sensors capable of measuring pulse waves, such as piezoelectric and piezoresistive pulse sensors. The piezoelectric and piezoresistive pulse sensors here use micro-pressure sensing materials, such as piezoelectric sheets or bridges. The probe of the sensor is attached to the place where the arterial pulsation is strong, and a certain pressure is applied. The micro-pressure material can The pulsed pressure signal is collected and the variation of the electrical signal is generated. After processing by the signal amplification and conditioning circuit, the complete waveform of the pulsed beating can be obtained, and the pulsed signal synchronized with the arterial beating can be further output.

The technical solution of the present application may further include an electronic device 300 . The electronic device 300 may be a terminal device capable of communicating with the electronic device 100 , which can help the electronic device 100 to complete registration, control the firmware update of the electronic device 100 , and receive detection data of the electronic device 100 . , assist the electronic device 100 to analyze measurement data, and so on. It will be appreciated that electronic device 300 may include, but is not limited to, laptop computers, desktop computers, tablet computers, smartphones, servers, wearable devices, head mounted displays, mobile email devices, portable game consoles, portable music players , a reader device, a television in which one or more processors are embedded or coupled, or other electronic device capable of accessing a network.

For convenience of description, the technical solution of the present application is described below by taking the electronic device 100 as the smart watch 100 as an example.

FIG. 2 is a schematic diagram of a hardware structure of a smart watch 100 provided according to some embodiments of the present application. As shown in FIG. 2 , the smart watch 100 includes a touch screen 101 (also called a touch panel), a display screen 102 , keys 103 , a microphone 104 , a speaker 105 , a processor 106 and a memory 107 , a microphone 104 and a speaker 105 . The smart watch 100 further includes a dial 110 and a base 120. The dial 110 includes a first micro control unit (MCU) 111, a first wireless communication unit 112, a first PPG sensor 113, and a first ranging sensor 114 and power supply 115. The base 120 includes a second micro-control unit 121 , a second wireless communication unit 122 , a second PPG sensor 123 , a second ranging sensor 124 and a power supply 125 .

Each functional component of the watch 100 will be introduced as follows:

The touch screen 101, which can also be a touch panel, can collect the user's touch operations thereon (such as the user's operations on or near the touch panel using any suitable objects or accessories such as a finger, a stylus, etc.), and Drive the responsive connection device according to the preset program.

The display screen 102 may be used to display information input by the user or prompt information provided to the user. In some embodiments, the touch screen 101 may cover the display screen 102, and when the touch screen 101 detects a touch operation on or near it, it transmits it to the processor 103 to determine the type of the touch event, and then the processor 103 determines the type of the touch event according to the type of the touch event. A corresponding visual output is provided on the display screen 102 .

The keys 103 may be mechanical keys. It can also be a touch key. When the key 103 detects a key operation on or near it, it is transmitted to the processor 103 to determine the type of key operation,

The processor 106 is used to perform system scheduling and control the touch screen 101 , the display screen 102 , the keys 103 , the memory 107 and the like.

The memory 107 is used to store software programs and various data, and the processor 106 executes various functional applications and data processing of the smart watch 100 by running the software programs and data stored in the memory 107 . For example, in some embodiments of the present application, the memory 107 may store data measured by the first PPG sensor 113 and the second PPG sensor 123 or data measured by the first ranging sensor 114 and the second ranging sensor 124 . At the same time, the memory can also store user information of the user, historical PWV measurement data related to the user, and the like.

The first micro-control unit 111 is configured to control the first PPG sensor 113, perform operations on the data measured by the first PPG sensor 113, communicate with the processor 106, and so on. The first micro-control unit 111 can detect the pulse wave transit time of the user with the first PPG sensor 113, and at the same time, the first micro-control unit 111 can control the first ranging sensor 114 to detect the pulse wave transmission distance of the user. Wave transit time calculates PWV. In addition, it can be understood that the above-mentioned processing of the PPG data can also be completed by the processor 106, which is not limited herein. The functions implemented by the second micro-control unit 121 are similar to those of the first micro-control unit 111 .

The first wireless communication unit 112 and the second wireless communication unit 122, the dial 110 and the base 120, and the smart watch 100 and the server 300 realize wireless communication through wireless communication units (such as mobile phones, tablet computers, etc.). In some embodiments, for example, wireless local area networks (WLANs), (eg wireless fidelity (Wi-Fi networks), bluetooth (BT), global navigation satellite systems (global navigation satellite systems), may be included Satellite system, GNSS), frequency modulation (frequency modulation, FM), near field communication technology (near field communication, NFC), infrared technology (infrared, IR) and other wireless communication solutions.

The microphone 104 is used for receiving the voice made by the user. For example, after the user sends a voice of "start PWV measurement" to the smart watch 100, the processor 106 recognizes the voice and starts to measure the PWV.

The speaker 105 is used to send out prompt information to the user, for example, when the PWV measurement is started or ended, the prompt information is sent to the user.

It can be understood that the hardware structure of the smart watch 100 provided by the embodiments of the present application does not constitute a specific limitation on the smart watch 100 . In other embodiments of the present application, the smart watch 100 may include more or less components than shown, or combine some components, or separate some components, or arrange different components.

The following describes a method for measuring aortic PWV of the present application with reference to FIG. 3 and FIG. 4 . In this technical solution, for example, the first measurement site 201 and the second measurement site 202 are the user's neck 201 and wrist 202, respectively, and what is measured by this method is crPWV (Carotid Radial Pulse Wave Velocity, carotid-radial artery) Pulse Wave Velocity), crPWV is a type of aortic PWV. When the user 200 decides to measure his own crPWV, the dial 110 and the base 120 of the smart watch 100 are placed behind the neck 201 and the wrist 202 respectively, so that the dial 110 and the base 120 are in the same vertical plane, and the dial 110 and the base 120 The first PPG sensor 113 and the second PPG sensor 123 respectively measure the first PPG signal and the second PPG signal of the pulse wave of the neck 201 and the wrist 202, and the smart watch 100 calculates from the first PPG signal and the second PPG signal. At the same time, the smart watch 100 obtains the vertical distance ΔL between the dial 110 and the base 120 through the first ranging sensor 114 and the second ranging sensor 124, where ΔL is the first PPG signal of the pulse wave and the distance difference between the neck 201 and the wrist 202 of the second PPG signal, and finally, the smart watch 100 calculates crPWV according to ΔL/Δt.

As shown in Figure 3, the process of crPWV measurement includes:

Before the user initiates the PWV measurement, the user may input user information to the smart watch 100 .

For example, the smart watch 100 has a user input function. The user inputs user information to the smart watch 100 through the display screen 102 of the smart watch 100. The user information here may include the user's age, height, weight, gender, and the user's identity information, etc. . The smart watch 100 can obtain the user's crPWV measurement data according to the obtained user's identity information.

The crPWV measurement data here may include: the vertical distance between the user's neck 201 and the wrist 202 . The vertical distance is the distance difference ΔL between the pulse wave conducted to the neck 201 and the wrist 202 respectively, and the user's crPWV historical measurement data. For example, the memory 107 of the smart watch 100 stores the correspondence between the user's identity information and the user's crPWV measurement data. After the smart watch 100 obtains the identity information input by the user, the smart watch 100 reads the information from the memory 107 . User's crPWV measurement data. For another example, the memory 107 of the smart watch 100 stores the distance difference ΔL between the neck 201 and the wrist 202 corresponding to the age, height and weight. The smart watch 100 can directly calculate the distance difference ΔL between the user's neck 201 and the wrist 202 according to the user's age, height and weight, so that the user does not need to measure the distance difference ΔL.

S301: After the smart watch 100 detects that the user starts crPWV measurement, the smart watch 100 prompts the user to separate the dial 110 from the base 120 and place them on the user's neck 201 and wrist 202, respectively.

For example, the user may start the PWV measurement application installed in the smart watch 100, and after the PWV measurement application is started, the user selects to perform crPWV measurement. In response to the execution of the PWV measurement application, the smart watch 100 prompts the user to separate the dial 110 and the base 120 and place them on the user's neck 201 and wrist 202 respectively. The user can wear the smart watch 100 on the wrist 202 of the left hand, the user removes the dial 110 of the smart watch 100 with the right hand, and places the skin of the dial 110 on the carotid artery of the neck 201, which can be above the left shoulder. The neck is parallel, so that the first PPG sensor 113 of the dial 110 can measure the first PPG signal of the pulse wave of the neck 201; at the same time, the second PPG sensor 123 of the base 120 of the smart watch 100 can measure the radial artery of the wrist 202. The second PPG signal of the pulse wave

In an embodiment of the present application, the first PPG sensor 113 of the dial 110 may be provided with an adhesive structure that is easily adhered to the skin, so that when the user places the dial 110 on the carotid artery of the neck 201, the dial 110 can Fits the skin without falling off easily.

S302: The smart watch 100 responds to the measurement instruction of the PPG signal sent by the user, and the smart watch 100 controls the dial 110 and the base 120 to perform PPG detection on the neck 201 and the wrist 202, respectively.

For example, after placing the dial 110 on the neck 201 with the right hand, the user clicks the button 103 of the dial 110 with the right hand to start the PWV measurement. After clicking the button 103, the processor 106 of the smart watch 100 responds to the click event and generates a An instruction, which is sent to the dial 110 and the base 120 through the first wireless communication unit 112 and the second wireless communication unit 122 provided on the dial 110 and the base 120, the instruction may include a measurement of the PPG detection configured in the memory 107 Duration, after the dial 110 and the base 120 receive the instruction, the first micro-control unit 111 of the dial 110 and the first wireless communication unit 112 of the base 120 control the first PPG sensor 113 and the second PPG sensor 123 to start synchronously according to the measurement duration PPG detection.

S303: The smart watch 100 obtains the PPG signals of the neck 201 and the wrist 202

After the dial 110 obtains the first PPG signal, it sends the first PPG signal to the smart watch 100 through the first wireless communication unit 112. Similarly, after the base 120 obtains the second PPG signal, it sends the first PPG signal through the second wireless communication unit. 122 sends the second PPG signal to the smart watch 100 .

In another embodiment of the present application, the user can also make the dial 110 and the base 120 start PWV measurement by interacting with the smart watch 100 . For example, after the user sends out "measure PPG signal", the smart watch 100 receives the voice through the microphone 104, and starts the PWV measurement after recognizing the voice, or the touch screen 101 of the dial 110 is provided with a touch button for starting the PWV measurement. Touch the button by tapping or swiping to start PWV measurement.

S304: The smart watch 100 detects whether the PPG signals of the neck 201 and the wrist 202 measured by the dial 110 and the base 120 meet the signal threshold, and if so, continue to S305; otherwise, the smart watch 100 prompts the user to restart the PPG detection, and the user confirms After re-measurement, it starts again to S302.

For example, the smart watch 100 may store the signal threshold PPG of the PPG signal in the memory 107, and the signal threshold may be the frequency of the PPG signal (the highest frequency is 220 Hz, and the lowest frequency is 40 Hz). After the smart watch 100 receives the first PPG signal and the second PPG signal, the smart watch 100 determines whether the frequency of the first PPG signal and the second PPG signal is greater than or less than the signal threshold to confirm that the dial 110 and the base 120 measure the Whether the first PPG signal and the second PPG signal meet the signal threshold. In the case of non-compliance, the smart watch 100 can vibrate through the vibration sensor to prompt the user to restart the measurement. If so, the smart watch 100 may also prompt the user that the PPG signal measurement is completed, and then enter S305 to perform PWV calculation. In some embodiments, the smart watch 100 may issue a voice of "please re-detect" through the speaker 105 to prompt the user to restart the measurement.

S305: The smart watch 100 calculates the time difference Δt of pulse wave conduction based on the measured PPG signal

For example, as shown in FIG. 4a, the smart watch 100 acquires the first PPG signal of the neck 201 and the second PPG signal of the wrist 202 during the measurement period of the dial 110 and the base 120, and converts the first PPG signal and the second PPG signal are the first waveform diagram and the second waveform diagram. Set the first and second waveform graphs in a coordinate system whose horizontal axis is the measurement duration. After that, the smart watch 100 obtains the first trough in the first waveform diagram and the first trough in the second waveform diagram, respectively obtains the coordinates of the bottom points of the pair of troughs, and calculates the distance between the bottom points of the pair of troughs based on the horizontal axis. , that is, the time difference Δt1 between the bottom points of the pair of wave troughs at the neck 201 and the wrist 202 . By analogy, the time difference Δt2 between the second trough in the first waveform diagram and the bottom point of the second trough in the second waveform diagram is then calculated. In Figure 4, the first waveform diagram and the second waveform diagram include 4 pairs of troughs, and the corresponding time differences are Δt1, Δt2, Δt3, and Δt4, respectively. Finally, the average value of all the time differences is taken to calculate the pulse wave conduction time difference Δt .

S306 : the smart watch 100 detects whether to measure the distance difference of pulse wave conduction between the neck 201 and the wrist 202 , and if so, proceed to S308 to measure the distance difference of pulse wave conduction; otherwise, continue to S307 , the smart watch 100 The distance difference of the pulse wave conduction of the user is acquired according to the user information.

For example, the smart watch 100 queries whether the user has measured the distance difference of pulse wave conduction through the user information. If the memory 107 of the smart watch 100 saves the historical data of the pulse wave conduction distance difference measured by the user, and at the same time, the age of the user in the user information is 30 years old, the smart watch 100 determines that the user is an adult, so the pulse wave conduction distance The distance difference will not change greatly, then the smart watch 100 continues to S307 to directly read the distance difference of pulse wave conduction stored in the memory 107 .

If the user has not measured the distance difference of pulse wave conduction, the smart watch 100 sends a prompt message to prompt the user whether to measure the distance difference of pulse wave conduction. The prompt information can be displayed on the display screen 102 of the smart watch 100. It may be to prompt the user to perform a measurement to obtain the pulse wave velocity more accurately.

In another embodiment, a measurement time threshold may be configured in the memory 107 of the smart watch 100. If the smart watch 100 detects a time interval between the current time and the time of the user's crPWV historical measurement data stored in the memory 107 (current If the difference between the time and the time of the historical measurement data) is greater than the measurement time threshold (such as 180 days), the smart watch 100 can issue a prompt voice through the speaker 105, suggesting that the user re-measure the distance difference of pulse wave conduction.

S307: The smart watch 100 obtains the distance difference of the pulse wave conduction of the user according to the user information

If the user chooses not to re-measure the distance difference of pulse wave conduction, the smart watch 100 can also read the user's height information, and bring the pulse wave distance difference model into the human body to estimate the distance difference.

The pulse wave distance difference model of the human body here can be a convolutional neural network model and other types of neural network models, wherein the input layer of the model can include the age, height, weight, gender and the type of measured PWV. The output layer can be the distance difference of pulse wave conduction. In the embodiment of the present invention, the pulse wave distance difference model of the human body may be pre-trained, and the training process may include: inputting the age, height, weight, gender, and type of measured PWV (eg, crPWV) of the person The neural network model is then compared between the output of the model (distance difference of pulse wave conduction) and the distance difference of pulse wave conduction actually measured, and the error is obtained, and the weight of the neural network model is updated according to the error. The model training is considered complete until the model finally outputs data representing the distance difference of pulse wave conduction.

In another embodiment of the present application, the pulse wave distance difference model of the human body may also be a machine learning model such as decision tree and linear regression. Taking the pulse wave distance difference model of the human body as a decision tree as an example, the age, height, weight, gender and type of PWV measurement of the person can be configured as different branches of the decision tree. The corresponding probabilities of gender and the type of measured PWV were calculated to calculate the corresponding pulse wave distance difference.

If the user chooses to re-measure the distance difference of pulse wave conduction, the process proceeds to S307.

S308: Smart watch 100 measures the distance difference of pulse wave conduction

The smart watch 100 sends a prompt voice to the user according to the positions of the dial 110 and the base 120, prompting the user to keep a measurement posture, so that the first ranging sensor 114 and the second ranging sensor 124 arranged on the dial 110 and the base 120 complete the measurement Difference in distance of pulse wave conduction. For example, as shown in FIG. 4b, when the dial 110 and the base 120 are disposed on the neck 201 and the wrist 202, respectively, the smart watch 100 prompts the user to lift the left hand wearing the base 120 vertically upward, so that the base and the dial 110 are located at In the same vertical plane, after that, the user presses the side key of the dial 110 with the right hand to trigger the distance difference between the dial 110 and the base 120 to be measured by the first ranging sensor 114 and the second ranging sensor 124. When the measurement is completed, the intelligent The watch 100 may issue a prompt to the user, and the user may end measuring the posture.

The aforementioned distance difference between the dial 110 and the base 120 may be measured by means of ultrasonic ranging between the first ranging sensor 114 and the second ranging sensor 124 . For example, the first ranging sensor 114 transmits ultrasonic waves to the second ranging sensor 124, the first ranging sensor 114 starts timing at the same time as the transmission time, and when the ultrasonic waves travel in the air when they hit the second ranging sensor 124, they return immediately. After returning, the first ranging sensor 114 stops timing immediately after receiving the reflected wave. After the first ranging sensor 114 obtains the above-mentioned round-trip time of the ultrasonic wave, the vertical distance between the first ranging sensor 114 and the second ranging sensor 124 can be obtained through the propagation speed of the ultrasonic wave in the air. This vertical distance is also the distance difference ΔL of the pulse wave conduction. The first ranging sensor 114 transmits the distance difference ΔL conducted by the pulse wave to the smart watch 100 through the first wireless communication unit 112 .

In another embodiment of the present application, the vertical distance between the dial 110 and the base 120 can be measured between the first ranging sensor 114 and the second ranging sensor 124 by means of infrared ranging. Taking infrared ranging as an example, the first ranging sensor 114 emits infrared rays, and at the same time, the second ranging sensor 124 receives the infrared rays, and then the first ranging sensor 124 can be calculated according to the time from when the infrared rays are emitted to when they are received and the propagation speed of the infrared rays. The distance between the distance measuring sensor 114 and the second distance measuring sensor 124 can be regarded as the distance difference ΔL of the pulse wave conduction.

It can be understood that the vertical distance between the first ranging sensor 114 and the second ranging sensor 124 , that is, the distance difference of pulse wave conduction, may also be obtained after the second ranging sensor 124 initiates measurement.

S309: The smart watch 100 calculates the crPWV between the neck 201 and the wrist 202 through ΔL/Δt.

For example, the measured aortic crPWV is primarily obtained by dividing the difference in the distance of the pulse waves by the time difference of the pulse waves to obtain the crPWV. Its calculation principle is as follows:

According to the description of FIG. 3 , the process of measuring the distance difference of pulse wave conduction by the smart watch 100 described in S305 to S307 is performed by the smart watch 100 after the dial 110 and the base 120 measure the PPG signals of the neck 201 and the wrist 202 respectively in S302 . performed, but in another embodiment of the present invention, the processes described in S305 to S307 may be performed before S302. There is no sequential relationship between the two.

In some embodiments of the present application, the user can also wear the smart watch 100 on the wrist of the right hand, place the dial 110 at the carotid artery of the right shoulder, and measure the PPG signal transmitted to the wrist of the right hand and the carotid artery of the right shoulder by measuring to calculate crPWV.

In other embodiments of the present application, the smart watch 100 may include a base and a detachable PPG measuring device, the detachable PPG measuring device is not limited to the dial of the smart watch 100, and may be any device integrated with the smart watch 100, and A device with a PPG sensor that can measure the PPG signal.

The smart watch 100 can also communicate with the server 300. After measuring the PPG signal transmitted to the neck 201 and the PPG signal of the wrist 202, the dial 110 and the base 120 of the smart watch 100 send the two PPG signals to the server 300, and the server 300 The time difference Δt of pulse wave conduction is calculated from the same two PPG signals.

Another method for measuring aortic PWV of the present application will be described below with reference to FIG. 5 . The difference from the method for aortic PWV measurement described in FIG. 3 is that in this technical solution, the first measurement site 201 and the second measurement site 202 are the ankle 201 and the wrist 202 respectively, and the measured values are measured by the method in FIG. 5 . is raPWV (Radial ankle Pulse Wave Velocity, radial artery-ankle joint pulse wave velocity).

The user 200 wears the smart watch 100 on the ankle 202 and then removes the dial 110 and places the dial 110 on the wrist 201 , so that the dial 110 and the base 120 are placed on the wrist 201 and the ankle 202 respectively. The smart watch 100 measures the first PPG signal and the second PPG signal of the pulse wave of the wrist 201 and the ankle 202 through the first PPG sensor 113 of the dial 110 and the second PPG sensor 123 of the base 120, respectively, and calculates the time difference Δt of the pulse wave conduction. At the same time, the smart watch 100 obtains the distance difference ΔL of pulse wave conduction through the first ranging sensor 114 and the second ranging sensor 124, and calculates raPWV according to ΔL/Δt.

As shown in Figure 5, the process of the raPWV measurement includes:

The difference from S301 in FIG. 3 is that in S501 : after the smart watch 100 detects that the user starts raPWV measurement, the smart watch 100 prompts the user to separate the dial 110 and the base 120 and place them on the user's wrist 201 and ankle 202 respectively.

For example, the user wears the smart watch 100 on the ankle 202 of the right foot, so that the dial 110 is located at the ankle arterial position of the ankle 202 of the right foot, which may be the inner measurement of the ankle 202 of the right foot. At the same time, the user removes the dial 110 of the smart watch 100 with the left hand, and places the skin of the dial 110 on the radial artery of the wrist 201 of the right hand, so that the first PPG sensor 113 of the dial 110 can measure the pulse wave of the ankle 202 PPG signal.

The measurement process described in S502 to S506 is the same as that described in FIG. 3 .

S502: The smart watch 100 responds to the measurement instruction of the PPG signal sent by the user, and the dial 110 and the base 120 perform PPG detection on the wrist 201 and the ankle 202, respectively.

For example, after the user wears the dial 110 on the ankle 202 of the right foot, the user clicks the button 103 of the dial 100 with the left hand to start the PWV measurement. After clicking the button, the processor 106 of the smart watch 100 sends an instruction to start the PWV measurement to the dial 110 and the base 120 , the instruction causes the dial 110 and the base 120 to perform PPG detection on the wrist 201 and the ankle 202 within one measurement period, and obtain the PPG signals of both.

S503: The smart watch 100 detects whether the PPG signals of the wrist 201 and the ankle 202 measured by the dial 110 and the base 120 meet the signal threshold, and if so, continue to S505; otherwise, the smart watch 100 prompts the user to restart the measurement, and restarts to S502.

S504: The smart watch 100 calculates the time difference Δt of pulse wave conduction based on the measured PPG signal

For example, the smart watch 100 acquires the first PPG signal of the wrist 201 and the second PPG signal of the ankle 202 during the measurement period, and converts the first PPG signal and the second PPG signal into the first waveform diagram and the second waveform diagram. Next, by calculating the average value of the time difference between the bottom points of the troughs in the first waveform chart and the second waveform chart, the time difference Δt of the pulse wave conduction is calculated.

S505: Smart watch 100 measures the distance difference of pulse wave conduction

For example, as shown in FIG. 6 , when the dial 110 and the base 120 are respectively disposed on the wrist 201 and the ankle 202 , the smart watch 100 prompts the user to sag the right hand and keep standing vertically, so that the dial 110 and the base 120 are located in the same vertical plane Then, the user presses the side key of the dial 110 with the left hand to trigger the distance difference between the dial 110 and the base 120 to be measured by the first ranging sensor 114 and the second ranging sensor 124. When the measurement is completed, the smart watch 100 can The user issues a prompt, and the user can end the above-mentioned measurement posture.

S506: The smart watch 100 calculates the raPWV between the ankle 202 and the wrist 201 through ΔL/Δt.

For example, the measured aortic raPWV is mainly obtained by dividing the distance difference of pulse wave conduction by the time difference of pulse wave conduction to obtain raPWV. Its calculation principle is as follows:

In another embodiment of the present application, the first measurement site 201 and the second measurement site 202 are the neck 201 and the ankle 202 respectively, and the measurement in this embodiment is caPWV (Carotid ankle Pulse Wave Velocity, carotid artery-ankle joint) pulse wave velocity). The difference from FIG. 3 and FIG. 5 is that the distance between the dial 110 of the smart watch 100 placed on the neck 201 and the base 120 of the smart watch 100 worn on the ankle 202 is obtained by the method of vocal distance measurement . The method for distance measurement of human voice refers to calculating the distance between the dial 110 and the base 120 by multiplying the time difference between the voice sent by the user reaching the dial 110 and the base 120 by the propagation speed of the voice. For example, when the smart watch 100 prompts the user to conduct pulse wave conduction distance difference, the user sends out a voice of "please detect". The dial 110 and the base 120 are calculated by multiplying the time difference of the voice made by the user received by the first ranging sensor 114 and the second ranging sensor 124 through the microphones by the propagation speed of the voice in the air (for example: 340 m/s). The distance between them is the distance difference between the carotid artery and the ankle pulse wave.

Another method for measuring aortic PWV of the present application will be described below with reference to FIG. 7 , using the electronic device 100 as the smart watch 100 . Different from the method described in FIG. 3 and FIG. 5 , in this method, the smart watch 100 can perform the crPWV measurement in combination with the smart earphone 400 . In this technical solution, the first measurement site 201 and the second measurement site 202 are the neck 201 and the wrist 202, respectively.

The user 200 wears the smart watch 100 on the wrist 202 and wears the smart earphone 400 at the same time. After the smart earphone 400 and the smart watch 100 measure the first PPG signal and the second PPG signal of the pulse wave of the neck 201 and the wrist 202 through their own PPG sensors, the smart earphone 400 sends the first PPG signal to the smart watch 100, The smart watch 100 calculates the time difference Δt of pulse wave conduction from the first PPG signal and the second PPG signal; after that, the smart watch 100 and the smart earphone 400 respectively obtain the distance difference ΔL of the pulse wave conduction through their own ranging sensors, and according to ΔL /Δt to calculate crPWV.

The process of the above crPWV measurement includes:

The difference from S301 in FIG. 3 is that S701: S501: After the smart watch 100 detects that the user starts crPWV measurement, the smart watch 100 prompts the user to wear the smart watch 100 and the smart earphone 400 at the same time.

For example, the smart watch 100 prompts the user to wear the smart watch 100 on the wrist 202 of the left hand, so that the PPG sensor of the smart watch 100 can obtain the second PPG signal of the pulse wave of the radial artery of the wrist 202 . The sensor can acquire the first PPG signal of the pulse wave of the carotid artery of the neck 201 . Here, the smart earphone 400 may also prompt the user to perform the above operation.

The measurement process described in S702 to S706 is the same as that described in FIG. 3 .

S702: The smart watch 100 and the smart earphone 400 respond to the measurement instruction of the PPG signal sent by the user, and the smart earphone 400 and the smart watch 100 perform PPG detection on the neck 201 and the wrist 202 respectively.

For example, the user clicks the button 103 of the smart watch 100 with the right hand to start the PWV measurement. After clicking the button, the processor 106 of the smart watch 100 sends an instruction to start the PWV measurement to the smart watch 100 and the smart earphone 400 at the same time. The smart earphone 400 performs PPG detection on the neck 201 and the wrist 202 within one measurement period, and acquires the first PPG signal and the second PPG signal of the two. The smart earphone 400 sends the measured first PPG signal of the neck 201 to the smart watch 100 .

S703: The smart watch 100 detects whether the measured first PPG signal and the second PPG signal meet the signal threshold, and if so, proceed to S704; otherwise, the smart watch 100 prompts the user to restart the measurement, and restarts to S702.

S704: The smart watch 100 calculates the time difference Δt of pulse wave conduction based on the measured PPG signal

For example, the smart watch 100 acquires the first PPG signal of the neck 201 and the second PPG signal of the wrist 202 during the measurement period, and converts the first PPG signal and the second PPG signal into the first waveform diagram and the second waveform diagram . Next, by calculating the average value of the time difference between the bottom points of the troughs in the first waveform chart and the second waveform chart, the time difference Δt of the pulse wave conduction is calculated.

S705: Smart Watch 100 Measure Distance Difference of Pulse Wave Conduction

For example, the smart watch 100 can use the manner as described in FIG. 4b to prompt the user to lift the left hand wearing the smart watch 100 vertically upward, and put the smart earphone 400 close to the neck 201, so that the smart watch 100 and the smart earphone 400 are located in the same vertical position. In the straight plane, after that, the user presses the side button of the smart watch 100 with the right hand to trigger the smart watch 100 and the smart earphone 400 to measure the distance difference between the smart watch 100 and the smart earphone 400 through their respective ranging sensors. When the measurement is completed, The smart watch 100 may issue a prompt to the user, and the user may end the above-mentioned measurement posture.

S706: The smart watch 100 calculates the crPWV between the ankle 201 and the wrist 202 through ΔL/Δt.

In one embodiment of the present application, a user can measure aortic PWV by wearing two smart watches, for example, one smart watch is worn on the wrist and the other smart watch is worn on the ankle. The embodiments of the present application do not limit the types of electronic devices, and any electronic device that can be configured with a PPG sensor to measure PPG signals falls within the scope of protection of the present application.

In another embodiment of the present application, the smart watch 100 and the smart earphone 400 can also communicate with the mobile phone 500 , and the mobile phone 500 controls the smart earphone 400 and the smart watch 100 to measure the first PPG of the pulse wave of the carotid artery of the neck 201 respectively. Signal and a second PPG signal measuring the pulse wave of the radial artery of the wrist 202 . After the smart earphone 400 and the smart watch 100 send the first PPG signal and the second PPG signal to the mobile phone 500, the mobile phone 500 calculates the time difference Δt of pulse wave conduction; The distance sensor measures the distance difference between the smart watch 100 and the smart earphone 400 . The mobile phone 500 can also directly obtain the historical data of the distance difference measured by the user of the pulse wave; finally, the mobile phone 500 obtains crPWV according to the distance difference of the pulse wave divided by the time difference of the pulse wave.

The smart earphone 400 can be a head-mounted type, a neck-mounted type and an in-ear type. The embodiment of the present application does not limit the model of the smart earphone 400. For the head-mounted smart earphone 400, the PPG sensor can be arranged at one end of the smart earphone 400. , the user can place the end of the PPG sensor close to the neck to measure the PPG signal. For the neck-mounted smart earphone 400, the PPG sensor can be arranged on the neck-mounted component of the smart earphone 400, and the user can measure the PPG signal by placing the neck-mounted component provided with the PPG sensor close to the neck. For the in-ear smart earphone 400 , the PPG sensor can be installed on any of the left and right earphones of the smart earphone 400 , and the user can measure the PPG signal by placing the earphone with the PPG sensor close to the neck.

FIG. 8 shows a possible structural block diagram of the electronic device 100 shown in FIG. 1 according to an embodiment of the present application. The electronic device 100 can execute the pulse wave measurement method provided by the embodiments of the present application. Specifically, as shown in FIG. 1 , the electronic device 100 may include a processor 110 , an external memory interface 120 , an internal memory 121 , a universal serial bus (USB) interface 130 , a charging management module 140 , and a power management module 141 , battery 142, antenna 1, antenna 2, mobile communication module 150, wireless communication module 160, audio module 170, speaker 170A, receiver 170B, microphone 170C, headphone jack 170D, sensor module 180, key 190, motor 198, indicator 192 , camera 193, display screen 194, and user identification module (subscriber identification module, SIM) card interface 195 and so on. The sensor module 180 may include a pressure sensor 180A, a gyroscope sensor 180B, an air pressure sensor 180C, a magnetic sensor 180D, an acceleration sensor 180E, a distance sensor 180F, a proximity light sensor 180G, a fingerprint sensor 180H, a temperature sensor 180J, a touch sensor 180K, and ambient light. Sensor 180L, bone conduction sensor 180M, etc.

It can be understood that the structures illustrated in the embodiments of the present application do not constitute a specific limitation on the electronic device 100 . In other embodiments of the present application, the electronic device 100 may include more or less components than shown, or combine some components, or separate some components, or arrange different components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

The processor 110 may include one or more processing units, for example, the processor 110 may include an application processor (application processor, AP), a modem processor, a graphics processor (graphics processing unit, GPU), an image signal processor (image signal processor, ISP), controller, video codec, digital signal processor (digital signal processor, DSP), baseband processor, and/or neural-network processing unit (neural-network processing unit, NPU), etc. Wherein, different processing units may be independent devices, or may be integrated in one or more processors. The controller can generate an operation control signal according to the instruction operation code and timing signal, and complete the control of fetching and executing instructions.

A memory may also be provided in the processor 110 for storing instructions and data. In some embodiments, the memory in processor 110 is cache memory. This memory may hold instructions or data that have just been used or recycled by the processor 110 . If the processor 110 needs to use the instruction or data again, it can be called directly from the memory. Repeated accesses are avoided and the latency of the processor 110 is reduced, thereby increasing the efficiency of the system. Meanwhile, the processor 110 may also store data received by the electronic device 100 from other electronic devices. For example, in some embodiments of the present application, the processor 110 may analyze a plurality of candidate exercise routes based on road section terrain information, road section environmental information, and road section safety information, etc. The total score of each of the multiple candidate exercise routes is obtained, and the advantages and disadvantages corresponding to each of the multiple candidate exercise routes are obtained, and then the multiple candidate exercise routes are sorted.

In the case where the electronic device 100 is a smart watch, the processor 110 controls the dial and the base of the smart watch to obtain the first pulse wave signal and the second pulse wave signal respectively, and according to the second pulse wave signal and the first pulse wave signal received from the first device The pulse wave signal calculates the pulse wave velocity.

In some embodiments, the processor 110 may include one or more interfaces. The interface may include an integrated circuit (inter-integrated circuit, I2C) interface, an integrated circuit built-in audio (inter-integrated circuit sound, I2S) interface, a pulse code modulation (pulse code modulation, PCM) interface, a universal asynchronous transceiver (universal asynchronous transmitter) receiver/transmitter, UART) interface, mobile industry processor interface (MIPI), general-purpose input/output (GPIO) interface, subscriber identity module (SIM) interface, and / or Universal Serial Bus (USB) interface, Micro USB interface, USB Type C interface, etc. The USB interface 130 can be used to connect a charger to charge the electronic device 100, and can also be used to transmit data between the electronic device 100 and peripheral devices. It can also be used to connect headphones to play audio through the headphones. The interface can also be used to connect other electronic devices, such as AR devices.

It can be understood that the interface connection relationship between the modules illustrated in the embodiments of the present application is only a schematic illustration, and does not constitute a structural limitation of the electronic device 100 . In other embodiments of the present application, the electronic device 100 may also adopt different interface connection manners in the foregoing embodiments, or a combination of multiple interface connection manners.

The charging management module 140 is used to receive charging input from the charger. The power management module 148 is used for connecting the battery 142 , the charging management module 140 and the processor 180 . The power management module 148 receives input from the battery 142 and/or the charge management module 140, and supplies power to the processor 180, the internal memory 121, the display screen 194, the camera 193, and the wireless communication module 160. The power management module 148 can also be used to monitor parameters such as battery capacity, battery cycle times, battery health status (leakage, impedance). In some other embodiments, the power management module 141 may also be provided in the processor 180 . In other embodiments, the power management module 141 and the charging management module 140 may also be provided in the same device.

The wireless communication function of the electronic device 100 may be implemented by the antenna 1, the antenna 2, the mobile communication module 150, the wireless communication module 160, the modulation and demodulation processor, the baseband processor, and the like. The electronic device 100 may wirelessly communicate with other electronic devices through the wireless communication module 160, for example, wirelessly communicate with a wearable device or a server. The electronic device 100 can send a wireless signal to the server through the wireless communication module 160, requesting the server to perform wireless network services to process the specific service requirements of the electronic device (for example, requesting the server to perform exercise route recommendation); the electronic device 100 can also use the wireless communication module. 160 Receive recommended exercise route information from the server. Antenna 1 and Antenna 2 are used to transmit and receive electromagnetic wave signals. Each antenna in electronic device 100 may be used to cover a single or multiple communication frequency bands. Different antennas can also be reused to improve antenna utilization. For example, the antenna 1 can be multiplexed as a diversity antenna of the wireless local area network. In other embodiments, the antenna may be used in conjunction with a tuning switch.

The mobile communication module 150 may provide wireless communication solutions including 2G/3G/4G/5G etc. applied on the electronic device 100 . The electronic device 100 may acquire map information around the user through the mobile communication module 150 . The wireless communication module 160 can provide applications on the electronic device 100 including wireless local area networks (WLAN) (such as wireless fidelity (Wi-Fi) networks), bluetooth (BT), global navigation satellites Wireless communication solutions such as global navigation satellite system (GNSS), frequency modulation (FM), near field communication (NFC), and infrared technology (IR). The wireless communication module 160 may be one or more devices integrating at least one communication processing module. The wireless communication module 160 receives electromagnetic waves via the antenna 2 , frequency modulates and filters the electromagnetic wave signals, and sends the processed signals to the processor 110 . The wireless communication module 160 can also receive the signal to be sent from the processor 110 , perform frequency modulation on it, amplify it, and convert it into electromagnetic waves for radiation through the antenna 2 .

In some embodiments, the electronic device 100 can communicate with other electronic devices through the mobile communication module 150 or the wireless communication module 160 .

In some embodiments, the antenna 1 of the electronic device 100 is coupled with the mobile communication module 150, and the antenna 2 is coupled with the wireless communication module 160, so that the electronic device 100 can communicate with the network and other devices through wireless communication technology. The wireless communication technology may include global system for mobile communications (GSM), general packet radio service (GPRS), code division multiple access (CDMA), broadband Code Division Multiple Access (WCDMA), Time Division Code Division Multiple Access (TD-SCDMA), Long Term Evolution (LTE), BT, GNSS, WLAN, NFC , FM, and/or IR technology, etc. The GNSS may include global positioning system (global positioning system, GPS), global navigation satellite system (global navigation satellite system, GLONASS), Beidou satellite navigation system (bei dou navigation satellite system, BDS), quasi-zenith satellite system ( quasi-zenith satellite system, QZSS) and/or satellite based augmentation systems (SBAS).

The electronic device 100 implements a display function through a GPU, a display screen 194, an application processor, and the like. The GPU is a microprocessor for image processing, and is connected to the display screen 194 and the application processor. The GPU is used to perform mathematical and geometric calculations for graphics rendering. Processor 110 may include one or more GPUs that execute program instructions to generate or alter display information.

The electronic device 100 may implement a shooting function through an ISP, a camera 193, a video codec, a GPU, a display screen 194, an application processor, and the like. In some embodiments of the present application, the display screen 194 is used to display the exercise route information recommended by the electronic device 100 itself, or the recommended exercise route information received from other electronic devices (such as a server) (such as the ranking result of the recommended exercise routes). , route diagram, significant advantages and disadvantages of the route, etc.) for users to choose a personalized exercise route.

The external memory interface 120 can be used to connect an external memory card, such as a Micro SD card, to expand the storage capacity of the electronic device 100 . The external memory card communicates with the processor 110 through the external memory interface 120 to realize the data storage function. Such as saving audio, video etc files in external memory card.

Internal memory 121 may be used to store computer executable program code, which includes instructions. The internal memory 121 may include a storage program area and a storage data area. The storage program area can store an operating system, an application program required for at least one function (such as voice navigation, image playback function, etc.), and the like. The storage data area may store data (such as audio data, phone book, etc.) created during the use of the electronic device 100 and the like. In addition, the internal memory 121 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, universal flash storage (UFS), and the like. The processor 110 executes various functional applications and data processing of the electronic device 100 by executing instructions stored in the internal memory 121 and/or instructions stored in a memory provided in the processor.

The electronic device 100 may implement audio functions through an audio module 170, a speaker 170A, a receiver 170B, a microphone 170C, an earphone interface 170D, an application processor, and the like. Such as music playback, recording, etc.

The keys 190 include a power-on key, a volume key, and the like. Keys 190 may be mechanical keys. It can also be a touch key. The electronic device 100 may receive key inputs and generate key signal inputs related to user settings and function control of the electronic device 100 .

Motor 191 can generate vibrating cues. The motor 191 can be used for vibrating alerts for incoming calls, and can also be used for touch vibration feedback. For example, touch operations acting on different applications (such as taking pictures, playing audio, etc.) can correspond to different vibration feedback effects. The motor 191 can also correspond to different vibration feedback effects for touch operations on different areas of the display screen 194 . Different application scenarios (for example: time reminder, receiving information, alarm clock, games, etc.) can also correspond to different vibration feedback effects. The touch vibration feedback effect can also support customization.

The indicator 192 can be an indicator light, which can be used to indicate the charging state, the change of the power, and can also be used to indicate a message, a missed call, a notification, and the like. The SIM card interface 195 is used to connect a SIM card.

In the drawings, some structural or method features may be shown in specific arrangements and/or sequences. It should be understood, however, that such specific arrangements and/or orderings may not be required. Rather, in some embodiments, the features may be arranged in a manner and/or order different from that shown in the illustrative figures. Additionally, the inclusion of structural or method features in a particular figure is not meant to imply that such features are required in all embodiments, and in some embodiments such features may not be included or may be combined with other features.

It should be noted that each unit/module mentioned in each device embodiment of this application is a logical unit/module. Physically, a logical unit/module may be a physical unit/module or a physical unit/module. A part of a module can also be implemented by a combination of multiple physical units/modules. The physical implementation of these logical units/modules is not the most important, and the combination of functions implemented by these logical units/modules is the solution to the problem of this application. The crux of the technical question raised. In addition, in order to highlight the innovative part of the present application, the above-mentioned device embodiments of the present application do not introduce units/modules that are not closely related to solving the technical problems raised in the present application, which does not mean that the above-mentioned device embodiments do not exist. other units/modules.

It should be noted that, in the examples and specification of this patent, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that Any such actual relationship or sequence exists between these entities or operations. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that a process, method, article or device that includes a list of elements includes not only those elements, but also includes not explicitly listed or other elements inherent to such a process, method, article or apparatus. Without further limitation, an element qualified by the phrase "comprising a" does not preclude the presence of additional identical elements in a process, method, article, or device that includes the element.

Although the present application has been illustrated and described with reference to certain preferred embodiments thereof, it will be understood by those of ordinary skill in the art that various changes in form and detail may be made therein without departing from the present disclosure The spirit and scope of the application.

Claims

A pulse wave measurement device, comprising:

a first device, where the first device includes at least one pulse wave sensor for measuring the first pulse wave at the first position of the user by using the pulse wave sensor to obtain a first pulse wave signal;

a second device, wirelessly communicating with the first device, the second device comprising at least one pulse wave sensor for measuring the second pulse wave at the second position of the user by using the pulse wave sensor to obtain a second pulse wave signal, and calculating the pulse wave velocity according to the second pulse wave signal and the first pulse wave signal received from the first device.
The apparatus of claim 1, wherein the first device and the second device are detachably connected.
The device according to claim 2, wherein the pulse wave measuring device is a smart bracelet or a smart watch.
The device according to claim 3, wherein the first device is a base part of the pulse wave measuring device, and the second device is a dial part of the pulse wave measuring device.
The apparatus according to claim 1, wherein the first device is a smart bracelet or a smart watch, and the second device is an earphone.
The device according to any one of claims 1 to 5, wherein the pulse wave sensor comprises at least one of a photoelectric pulse wave sensor, a piezoelectric pulse wave sensor, and a piezoresistive pulse wave sensor.
The apparatus according to claim 1, wherein the second device calculates the first position of the user and the second position of the user according to the first pulse wave signal and the second pulse wave signal The time difference of the pulse wave, and the ratio between the distance difference between the user's blood flowing through the first position and the second position and the time difference is used as the pulse wave conduction velocity.
8. The apparatus of claim 7, wherein in the case that at least one of the first pulse wave signal and the second pulse wave signal is less than a signal threshold, the first device and the second pulse wave signal The device re-measures the first pulse wave signal and the second pulse wave signal.
The apparatus according to claim 7, wherein the second device calculates the first position of the user and the second position of the user according to the first pulse wave signal and the second pulse wave signal The time difference of the pulse wave, including:

acquiring, by the second device, a first waveform diagram and a second waveform diagram corresponding to the first pulse wave signal and the second pulse wave signal;

The second device sets the first waveform graph and the second waveform graph in a coordinate system whose horizontal axis is the measurement duration, and the first waveform graph and the second waveform graph respectively include a plurality of troughs;

acquiring, by the second device, a plurality of pairs of troughs in the same position in the first waveform diagram and the second waveform diagram;

The second device calculates the time difference between the bottom points of each pair of troughs based on the measurement duration;

The average value of the time difference of each pair of troughs is used as the time difference of the pulse wave between the first position of the user and the second position of the user.
The apparatus according to claim 7, wherein the first device and the second device each include a distance measuring sensor for measuring the difference in distance between the first and second positions of the user's blood flowing through.
The device according to claim 10, wherein measuring the distance difference between the first position of the user and the second position of the user comprises:

The ranging sensor of the first device sends out ultrasonic waves to the ranging sensor of the second device and starts to calculate the transit time;

After the first device receives the ultrasonic wave reflected by the second device, the first device finishes calculating the transit time;

A distance difference between the first position and the second position is calculated based on the transmission velocity of the ultrasonic waves and the transmission time.
The apparatus according to claim 10, wherein the first device and the second device measure the distance difference by means of infrared ranging.
8. The apparatus of claim 7, wherein the distance difference is a distance difference used in measuring historical pulse wave velocity.
The device according to claim 7, wherein the distance difference between the first position of the user and the second position of the user is calculated according to the gender, age, height and weight of the user.
A pulse wave measurement method, characterized in that pulse wave measurement is performed by a pulse wave measurement device, wherein the pulse wave measurement device includes a first device and a second device, and the second device and the first device can Wireless communication;

The method includes:

Acquiring a first pulse wave signal measured by a pulse wave sensor of the first device located at the first position of the user, and a second pulse wave signal measured by a pulse wave sensor of the second device located at a second position of the user Signal;

Pulse wave velocity is calculated from the second pulse wave signal and the first pulse wave signal received from the first device.
A system for pulse wave measurement, comprising:

a first device, where the first device includes at least one pulse wave sensor for measuring the first pulse wave at the first position of the user by using the pulse wave sensor to obtain a first pulse wave signal;

a second device, wirelessly communicating with the first device, the first device comprising at least one pulse wave sensor, used for measuring the second pulse wave through the pulse wave sensor at the second position of the user, to obtain a second pulse wave signal;

and a server that calculates pulse wave velocity from the second pulse wave signal and the first pulse wave signal received from the first device.
A computer-readable medium, characterized in that the computer-readable medium stores an instruction, when the instruction is executed on the computer, the computer executes the pulse wave measurement method of claim 15 .
A pulse wave measuring device, comprising:

a first device including at least one pulse wave sensor, used for measuring the first pulse wave at the first position of the user by using the pulse wave sensor to obtain the first pulse wave signal;

a second device in wireless communication with the first device, comprising

at least one pulse wave sensor, used for measuring the second pulse wave through the pulse wave sensor at the second position of the user to obtain the second pulse wave signal,

memory, storing instructions, and

at least one processor configured to access the memory and configured to execute instructions on the memory to control the first device and the second device to obtain the first pulse wave signal and the second pulse wave signal, respectively, and calculating the pulse wave velocity according to the second pulse wave signal and the first pulse wave signal received from the first device.