CN114073496A

CN114073496A - Pulse wave measuring device and pulse wave measuring method, system and medium thereof

Info

Publication number: CN114073496A
Application number: CN202010813388.2A
Authority: CN
Inventors: 曾岩; 邱凌志; 潘骏
Original assignee: Huawei Device Co Ltd
Current assignee: Huawei Device Co Ltd
Priority date: 2020-08-13
Filing date: 2020-08-13
Publication date: 2022-02-22
Also published as: WO2022033554A1

Abstract

The embodiment of the application provides a pulse wave measuring device and a pulse wave measuring method, system and medium thereof, relating to the pulse wave measuring technology in the technical field of intelligent medical treatment. The application provides a pulse wave measuring device includes: a first device and a second device, each configured with at least one pulse wave sensor. The user can place first equipment and second equipment in self first position and second position respectively, measures the pulse wave at first position and second position through pulse wave sensor, obtains first pulse wave signal and second pulse wave signal. And calculating the pulse wave conduction velocity according to the first pulse wave signal and the second pulse wave signal. The user can improve the convenience of pulse wave measurement through the pulse wave measuring device of this application.

Description

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

Technical Field

The application relates to the technical field of intelligent medical treatment, in particular to a pulse wave measuring device and a pulse wave measuring method, system and medium thereof.

Background

Cardiovascular and cerebrovascular diseases are the most common chronic diseases in China at present, wherein the increase of arterial stiffness is found to be related to various diseases, including coronary heart disease, fatal stroke, congestive heart failure, moderate chronic nephropathy, rheumatoid arthritis, systemic vasculitis, systemic lupus erythematosus and the like.

The pulse wave is formed by the peripheral propagation of the systolic relaxation of the heart along the arterial blood vessel by the blood flow. Currently, PWV (Pulse wave velocity), especially aortic PWV, such as cfPWV (carotid-femoral Pulse wave velocity), has been used as an index of arterial stiffness for a large amount of clinical verification. Therefore, the PWV measurement can realize early screening of cardiovascular diseases such as arteriosclerosis and the like, 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 completed alone, requiring measurement personnel to have certain experience and expertise. Therefore, a convenient and accurate method for detecting the stiffness of the artery is urgently needed, which can help people to better understand the cardiovascular health condition of the people and effectively reduce the related health risks brought by arteriosclerosis.

Disclosure of Invention

The embodiment of the application provides a pulse wave measuring device and a pulse wave measuring method, system and medium thereof, which can conveniently measure pulse waves.

A first aspect of the present application provides a pulse wave measuring device including: the first device comprises at least one pulse wave sensor and is used for measuring a first pulse wave at a first position of a user through the pulse wave sensor to obtain a first pulse wave signal; and the second equipment is in wireless communication with the first equipment and comprises at least one pulse wave sensor and is used for measuring a second pulse wave at a second position of the user through the pulse wave sensor to obtain a second pulse wave signal and calculating the pulse wave conduction speed according to the second pulse wave signal and the first pulse wave signal received from the first equipment.

In one possible implementation of the first aspect described above, the first device and the second device are detachably connected.

This pulse wave measuring device is different from the pulse wave measuring device that has now in the hospital, and pulse wave measuring device can comprise detachable first equipment and second equipment. The user just can set up first equipment and second equipment respectively in self primary importance and second place alone, carries out pulse wave through the pulse wave sensor that sets up on first equipment and the second equipment and measures, has improved pulse wave measurement's convenience. Here, the number of pulse wave sensors that can be provided on the first device and the second device may be more than one, and for example, two pulse wave sensors may be provided on the first device to form an array of pulse wave sensors.

The pulse wave measuring device may be an electronic device such as: the smart watch, the first device and the second device may be a dial and a base of the smart watch. The dial plate and the base are respectively provided with a PPG sensor belonging to a pulse wave sensor. The user can place the back in user's primary importance and second place respectively with dial plate and base dismantlement, carries out PPG through the PPG sensor and detects, acquires the PPG signal of primary importance and second place. First and second pulse wave signals at first and second locations, respectively, are obtained from the PPG signal. And finally, calculating the pulse wave conduction velocity of the user according to the first pulse wave signal and the second pulse wave signal.

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

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

In one possible implementation of the above first aspect, the first device is a base portion of the pulse wave measuring apparatus, and the second device is a dial portion of the pulse wave measuring apparatus.

In a possible implementation of the first aspect, the first device is an intelligent bracelet or an intelligent watch, and the second device is an earphone.

The user can be through wearing intelligent wrist-watch and wearing the earphone, through the first pulse wave signal and the second pulse wave signal of the first position of user and second position of pulse wave sensor measurement that set up respectively in intelligent wrist-watch and the earphone.

In one possible implementation of the 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 one possible implementation of the first aspect described above, the second device calculates a time difference of pulse waves at a first position of the user and a second position of the user from the first pulse wave signal and the second pulse wave signal, and takes a ratio between a difference in distance between the blood of the user flowing through the first position and the second position and the time difference as the pulse wave propagation velocity.

In the apparatus, a first device and a second device detect a first pulse wave signal and a second pulse wave signal, respectively, during the same measurement duration. And calculating the time difference between the measured first pulse wave signal and the second pulse wave signal, and meanwhile, the first device and the second device also calculate the distance difference between the first position and the second position, and taking the ratio of the distance difference to the time difference as the pulse wave velocity.

In one possible implementation of the first aspect described above, the first device and the second device remeasure the first pulse wave signal and the second pulse wave signal in a case where at least one of the first pulse wave signal and the second pulse wave signal is smaller than the signal threshold.

In the apparatus, when the acquired first and second pulse wave signals are smaller than a signal threshold, that is, the signals are not good, the first and second devices perform the first and second pulse wave signal detection again.

In one possible implementation of the first aspect, the calculating, by the second device, a time difference of 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 includes:

the second equipment acquires a first oscillogram and a second oscillogram corresponding to the first pulse wave signal and the second pulse wave signal;

the second device sets a first waveform diagram and a second waveform diagram in a coordinate system with the horizontal axis as the measuring time length, wherein the first waveform diagram and the second waveform diagram respectively comprise a plurality of wave troughs;

the second equipment acquires multiple pairs of wave troughs with the same positions in the first oscillogram and the second oscillogram;

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

and taking the average value of the time difference of each pair of wave troughs as the time difference of the pulse waves of the first position of the user and the second position of the user.

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

In one possible implementation of the first aspect, the first device and the second device each comprise a distance measuring sensor for measuring a difference in distance of blood flow through the first location and the second location of the user.

In one possible implementation of the first aspect, measuring a distance difference between a first location of the user and a second location of the user includes:

the distance measuring sensor of the first device sends ultrasonic waves to the distance measuring sensor of the second device and starts to calculate the conduction time;

after the first equipment receives the ultrasonic waves reflected by the second equipment, the first equipment finishes calculating the transit time;

a distance difference between the first position and the second position is calculated based on the propagation velocity and the propagation time of the ultrasonic wave.

In one possible implementation of the first aspect, the first device and the second device measure the distance difference by means of infrared ranging.

In one possible implementation of the first aspect, the distance difference is a distance difference used in measuring a historical pulse wave velocity.

Since the user's distance difference does not change greatly in general, this device stores history data of the distance difference at which the user performs pulse wave measurement, and when the user performs pulse wave measurement again, the history data of the distance difference can be used as it is.

In one possible implementation of the first aspect, the distance difference between the first location of the user and the second location of the user is calculated based on the gender, age, height and weight of the user.

A second aspect of the present application provides a pulse wave measurement method of performing pulse wave measurement by a pulse wave measurement apparatus, wherein the pulse wave measurement apparatus includes a first device and a second device capable of wireless communication with the first device;

the method comprises the following steps:

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

a 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:

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

the second equipment is in wireless communication with the first equipment, and the first equipment comprises at least one pulse wave sensor and is used for measuring a second pulse wave at a second position of the user through the pulse wave sensor to obtain a second pulse wave signal;

and a server that calculates a 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 having stored thereon instructions which, when executed on a computer, cause the computer to perform the pulse wave measurement method of the second aspect of the present application.

A fifth aspect of the present application provides a pulse wave measuring device including:

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

At least one pulse wave sensor for measuring a second pulse wave at a second position of the user by the pulse wave sensor to obtain a second pulse wave signal,

A 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 calculate the pulse wave velocity from the second pulse wave signal and the first pulse wave signal received from the first device.

Drawings

Fig. 1 illustrates a scenario of pulse wave measurement by the pulse wave measurement method provided herein, according to some embodiments of the present application;

fig. 2 illustrates a hardware architecture diagram of a smart watch to which the present application relates, according to some embodiments of the present application;

FIG. 3 illustrates a flow chart of pulse wave measurement of an aorta, according to some embodiments of the present application;

FIG. 4a illustrates a waveform of the pulse wave measured according to FIG. 3, according to some embodiments of the present application;

FIG. 4b illustrates a scene graph of pulse wave measurements of the aorta of FIG. 3, according to some embodiments of the present application;

FIG. 5 illustrates a flow chart of pulse wave measurement of an aorta, according to some embodiments of the present application;

FIG. 6 illustrates a scene graph of pulse wave measurements of the aorta of FIG. 5, according to some embodiments of the present application;

FIG. 7 illustrates another scenario of pulse wave measurement of the aorta, according to some embodiments of the present application;

FIG. 8 illustrates 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 are described in further detail below with reference to 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 measuring method, in which two devices respectively carrying pulse wave sensors are placed at two different measurement locations of a human body for detection, pulse wave signals of the measurement locations within a predetermined time period are obtained, then a time difference between blood transmission from a heart to the two measurement locations of the human body is determined according to the pulse wave signals, and then an aorta PWV of the human body is calculated according to a ratio of a distance difference between the two measurement locations and the determined time difference.

The two different devices can be two parts of an electronic device, such as a dial and a base of a smart watch, a main body of the smart watch and a group of pulse wave sensor accessories additionally arranged on the smart watch; or two different electronic devices independent of each other, for example, a smart watch with a pulse wave sensor and a smart headset with a pulse wave sensor.

The pulse wave measuring method according to the embodiment of the present application will be described below by taking a pulse wave sensor as a PPG (photoplethysmography) sensor and taking different parts of the same electronic device as examples to measure different parts of a human body.

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, an object to be measured 200.

Therein, the electronic device 100 comprises a detachable measurement component 110 and a measurement component 120, each measurement component comprising at least one PPG sensor and a ranging sensor. The measurement component 110 and the measurement component 120 are respectively placed at different measurement positions of the object to be measured 200, and the PPG signals of the two different positions are obtained after the measurement is performed for a certain period of time. Then, the electronic device 100 calculates a transit time difference Δ t of two pulse waves of two measurement portions according to the obtained PPG signal; meanwhile, the electronic device 100 measures a vertical distance Δ L between the first measurement unit and the second measurement unit through the ranging sensor as a distance difference of PPG signaling of the two pulse waves, and calculates PWV through Δ L/Δ t.

It will be appreciated that the measurement component 110 and the measurement component 120 described above may include a plurality of PPG sensors, for example, PPG sensors may be disposed on the measurement component 110 and the measurement component 120, respectively, forming an array of PPG sensors.

The above-mentioned PPG sensor is a pulse wave sensor that detects a change in blood volume in a living tissue by photoelectric means, where the blood volume refers to the amount of blood flowing through a blood vessel per unit time. The blood volume in the blood vessel changes in waveform under the action of systole and diastole. When the heart contracts, the volume of blood in the blood vessel is the largest, the light absorption is also the largest, and the detected light intensity is the smallest; when the heart is in diastole, on the contrary, the blood volume in the blood vessel is the least, the detected light intensity is the largest, and the change of the blood volume in the blood vessel is acquired by the PPG sensor, so that the light intensity detected by the PPG sensor is changed along with the change of the waveform. Then the light intensity change signal is converted into a PPG signal, and the change of the pulse wave can be obtained after the PPG signal is calculated.

It is to be appreciated that the electronic device 100 provided herein can be any of a variety of electronic devices capable of taking PWV measurements using the aortic PWV measurements provided herein, including but not limited to watches, bracelets or glasses, helmets, head bands, and like wearable electronic devices, medical detection instruments, and the like. It is understood that the electronic apparatus 100 may perform PWV measurement on the object to be measured 200 through the aortic PWV measuring device. The aorta PWV measuring apparatus may be a part of the electronic device 100, or may be an independent apparatus independent from the electronic device 100, and may be in communication connection with the electronic device 100 to transmit the measured aorta PWV of the object to be measured 200 to the electronic device 100.

The pulse wave sensor provided by the application can be a PPG sensor, and can also comprise various sensors capable of measuring pulse waves such as a piezoelectric type pulse sensor and a piezoresistive type pulse sensor. The piezoelectric type and piezoresistive type pulse sensor adopts micro-pressure sensing materials, such as a piezoelectric sheet or an electric bridge, and the probe of the sensor is attached to a place where the pulse of an artery is strong, certain pressure is applied, the micro-pressure materials can collect pressure signals of pulse pulsation and generate electric signal variation, and after the pressure signals are processed by a signal amplifying and conditioning circuit, complete waveforms of the pulse pulsation can be obtained, and pulse signals synchronous with the pulse of the artery can be further output.

The technical solution of the present application may further include the electronic device 300, where the electronic device 300 may be a terminal device capable of communicating with the electronic device 100, and may help the electronic device 100 to complete registration, control firmware update of the electronic device 100, receive detection data of the electronic device 100, assist the electronic device 100 to analyze measurement data, and so on. It is to be appreciated that the electronic device 300 can include, but is not limited to, a laptop computer, a desktop computer, a tablet computer, a smartphone, a server, a wearable device, a head-mounted display, a mobile email device, a portable game console, a portable music player, a reader device, a television with one or more processors embedded or coupled therein, or other electronic device capable of accessing a network.

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

Fig. 2 is a schematic diagram illustrating a hardware structure of a smart watch 100 according to some embodiments of the present application. As shown in fig. 2, the smart watch 100 includes a touch screen 101 (also referred to as a touch panel), a display 102, keys 103, a microphone 104, a speaker 105, a processor 106 and a memory 107, the microphone 104 and the speaker 105. The smart watch 100 further includes a watch face 110 and a base 120, where the watch face 110 includes a first Micro Control Unit (MCU) 111, a first wireless communication unit 112, a first PPG sensor 113, a first distance measurement sensor 114, and a power source 115. The base station 120 comprises 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.

The functional components of the watch 100 are described below:

the touch screen 101, which may also be a touch panel, may collect touch operations of a user thereon (e.g., operations of the user on or near the touch panel using any suitable object or accessory such as a finger or a stylus) and drive a responsive connection device according to a preset program.

The display screen 102 may be used to display information entered by the user or prompt information provided to the user. In some embodiments, the touch screen 101 may overlay the display screen 102, and when the touch screen 101 detects a touch operation thereon or nearby, the touch operation is transmitted to the processor 103 to determine the type of the touch event, and then the processor 103 provides a corresponding visual output on the display screen 102 according to the type of the touch event.

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

the processor 106 is used for system scheduling, controlling the touch screen 101, the display screen 102, the keys 103, the memory 107 and the like.

The memory 107 is used for storing 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, memory 107 may store data measured by first and second PPG sensors 113, 123 or data measured by first and second ranging sensors 114, 124. Meanwhile, the memory may also store user information of the user, PWV historical 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 data measured by the first PPG sensor 113, communicate with the processor 106, and the like. The first micro control unit 111 may detect the pulse transit time of the user with the first PPG sensor 113, while the first micro control unit 111 may control the first ranging sensor 114 to detect the pulse transit distance of the user, calculating PWV from the pulse transit distance and the pulse transit time. Furthermore, it is understood that the above processing of the PPG data may also be performed by the processor 106, which is not limited herein. The second micro control unit 121 performs a similar function as 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 a mobile phone, a tablet computer, etc.). In some embodiments, for example, Wireless Local Area Networks (WLANs), (such as wireless fidelity (Wi-Fi) networks, Bluetooth (BT), Global Navigation Satellite System (GNSS), Frequency Modulation (FM), Near Field Communication (NFC), Infrared (IR), and other solutions for wireless communication may be included.

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

The speaker 105 is used to give a prompt to the user, for example, at the start or end of a PWV measurement.

It is to be understood that the hardware structure of the smart watch 100 provided in the embodiments of the present application does not constitute a specific limitation to the smart watch 100. In other embodiments of the present application, the smart watch 100 may include more or fewer components than shown, or combine certain components, or split certain components, or a different arrangement of components.

One method of aortic PWV measurement of the present application is described below in conjunction with fig. 3 and 4. In this embodiment, for example, the first measurement site 201 and the second measurement site 202 are the neck 201 and the wrist 202 of the user, respectively, and what is measured by this method is crpvv (cardiac Radial Pulse Wave Velocity), which belongs to one of the aorta PWVs. When the user 200 decides to measure its own crpvv, 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, the first PPG sensor 113 and the second PPG sensor 123 of the dial 110 and the base 120 measure the first PPG signal and the second PPG signal of the pulse wave of the neck 201 and the wrist 202, respectively, the smart watch 100 calculates the time difference Δ t of pulse wave conduction from the first PPG signal and the second PPG signal, and at the same time, the smart watch 100 obtains the vertical distance Δ L between the dial 110 and the base 120 through the first distance measurement sensor 114 and the second distance measurement sensor 124, where Δ L is the distance difference between the neck 201 and the wrist 202 of the first PPG signal and the second PPG signal of the pulse wave, and finally, the smart watch 100 calculates the crpvv according to Δ L/Δ t.

As shown in fig. 3, the process of crppv 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, and the user inputs user information to the smart watch 100 through the display screen 102 of the smart watch 100, where the user information may include the user's age, height, weight, sex, and identity information of the user. The smart watch 100 may obtain the crppv measurement data of the user according to the obtained identity information of the user.

The crppv measurement data herein may include: the vertical distance between the user's neck 201 and wrist 202. The vertical distance, that is, the difference Δ L between the distances from which the pulse wave is conducted to the neck 201 and the wrist 202, respectively, and the user's crpvv 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 crppv measurement data, and after the smart watch 100 obtains the identity information input by the user, the smart watch 100 reads the user's crppv measurement data from the memory 107. For another example, the memory 107 of the smart watch 100 stores the distance difference Δ L between the neck 201 and the wrist 202 corresponding to the age, height, and weight. The smart watch 100 may directly calculate the distance difference Δ L between the neck 201 and the wrist 202 of the user according to the age, height, and weight of the user, so that the user does not need to measure the distance difference Δ L.

S301: after the smart watch 100 detects that the user starts the crpvv measurement, the smart watch 100 prompts the user to separate the dial 110 and the base 120 to be placed on the neck 201 and the wrist 202 of the user, respectively.

For example, the user may launch a PWV measurement application installed within the smart watch 100, after which the user selects to make a crpvv measurement. The smart watch 100 prompts the user to separate the dial 110 and the base 120 for placement on the user's neck 201 and wrist 202, respectively, in response to execution of the PWV measurement application. The user may wear the smart watch 100 on the wrist 202 of the left hand, and the user uses the right hand to detach the dial 110 of the smart watch 100, and places the skin of the dial 110 on the carotid artery of the neck 201, where the position may be above the left shoulder and parallel to the neck, so that the first PPG sensor 113 of the dial 110 may measure the first PPG signal of the pulse wave of the neck 201; meanwhile, the second PPG sensor 123 of the base 120 of the smart watch 100 may measure a second PPG signal of the pulse wave of the radial artery of the wrist 202

In an embodiment of the present application, an adhesion structure that is easily adhered to the skin may be disposed at the first PPG sensor 113 of the dial 110, so that when the user places the dial 110 at the carotid artery position of the neck 201, the dial 110 may be adhered to the skin without being easily detached.

S302: in response to a measurement instruction of a PPG signal sent by a user, 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 the user places the dial 110 on the neck 201 with the right hand, the button 103 of the dial 110 is clicked with the right hand to start the PWV measurement, the processor 106 of the smart watch 100 generates an instruction to start the PWV measurement in response to the click event after clicking the button 103, the instruction is sent to the dial 110 and the base 120 through the first wireless communication unit 112 and the second wireless communication unit 122 disposed on the dial 110 and the base 120, the instruction may include a measurement duration of the PPG detection configured in the memory 107, and after receiving 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 the PPG detection synchronously according to the measurement duration.

S303: smart watch 100 acquires PPG signals of neck 201 and wrist 202

After acquiring the first PPG signal, the dial plate 110 sends the first PPG signal to the smart watch 100 through the first wireless communication unit 112, and similarly, after acquiring the second PPG signal, the base 120 sends the second PPG signal to the smart watch 100 through the second wireless communication unit 122.

In another embodiment of the present application, the user may also cause the dial 110 and the base 120 to initiate PWV measurements by interacting with the smart watch 100. For example, after the user sends out a "measurement 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, and the user clicks or slides the touch button to start the 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 a signal threshold, and if so, continues to S305; otherwise, the smart watch 100 prompts the user to restart the PPG detection, and after the user confirms the re-measurement, the process restarts to S302.

For example, the smart watch 100 may store in the memory 107 a signal threshold PPG for the PPG signal, which may be the frequency of the PPG signal (highest frequency 220HZ, lowest 40 HZ). After the smart watch 100 receives the first PPG signal and the second PPG signal, the smart watch 100 determines whether the first PPG signal and the second PPG signal measured by the dial 110 and the base 120 meet the signal threshold by determining whether the frequencies of the first PPG signal and the second PPG signal are greater than or less than the signal threshold. In case of non-compliance, the smart watch 100 may send a vibration through the shock sensor, prompting the user to resume the measurement. If yes, the smart watch 100 may also prompt the user that the PPG signal measurement is complete, and proceed to S305 to perform PWV calculation. In some embodiments, the smart watch 100 may emit a "please re-detect" voice through the speaker 105 prompting the user to resume the measurement.

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

For example, as shown in fig. 4a, the smart watch 100 acquires a first PPG signal of the neck 201 and a second PPG signal of the wrist 202 of the dial 110 and the base 120 over a measurement duration, and converts the first PPG signal and the second PPG signal into a first waveform diagram and a second waveform diagram. The first and second waveform diagrams are arranged in a coordinate system with the horizontal axis being the measurement time period. Thereafter, the smart watch 100 acquires the first valley in the first waveform diagram and the first valley in the second waveform diagram, respectively, acquires the coordinates of the bottom points of the pair of valleys, respectively, and calculates the distance between the bottom points of the pair of valleys on the horizontal axis, that is, the time difference Δ t1 between the bottom points of the pair of valleys at the neck 201 and the wrist 202. By analogy, the time difference Δ t2 between the bottom points of the second trough in the first waveform plot and the second trough in the second waveform plot is then calculated. In fig. 4, the first waveform diagram and the second waveform diagram include 4 pairs of valleys, the corresponding time differences are Δ t1, Δ t2, Δ t3 and Δ t4, and finally the average value of all the time differences is taken to calculate the time difference Δ t of pulse wave propagation.

S306: the smart watch 100 detects whether to measure the distance difference of pulse wave propagation between the neck 201 and the wrist 202, and if so, continues to S308 to measure the distance difference of pulse wave propagation; otherwise, continuing to S307, the smart watch 100 obtains the distance difference of the pulse wave propagation of the user according to the user information.

For example, the smart watch 100 inquires 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 stores therein the historical data of the pulse wave propagation distance difference measured by the user and the age of the user in the user information is 30 years old, the smart watch 100 determines that the user is an adult and therefore the pulse wave propagation distance difference does not change significantly, and the smart watch 100 proceeds to S307 to directly read the pulse wave propagation distance difference stored in the memory 107.

If the user has not measured the distance difference of the pulse wave conduction, the smart watch 100 sends a prompt message to prompt the user whether to measure the distance difference of the pulse wave conduction, the prompt message may be displayed on the display screen 102 of the smart watch 100, and the content of the prompt message may prompt the user to measure the distance difference of the pulse wave conduction, so that the pulse wave conduction velocity can be obtained more accurately.

In another embodiment, a measurement time threshold may be configured in the memory 107 of the smart watch 100, and if the smart watch 100 detects that the time interval between the current time and the time of the user's crpvv historical measurement data stored in the memory 107 (the difference between the current time and the time of the historical measurement data) is greater than the measurement time threshold (e.g., 180 days), the smart watch 100 may emit a prompt voice through the speaker 105 to suggest that the user remeasure the distance difference of pulse wave conduction.

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

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

The pulse wave distance difference model of the human body herein may be various types of neural network models such as a convolutional neural network model, wherein an input layer of the model may include the age, height, weight, sex of the human body and the type of the measured PWV, and an output layer of the model may be the distance difference of the pulse wave propagation. In an embodiment of the present invention, the human pulse wave distance difference model may be trained in advance, and the training process may include: the age, height, weight, sex and type of the measured PWV (e.g., crpLV) of the person are input into the neural network model, the output of the model (the difference in the distance of the pulse wave propagation) is compared with the actually measured difference in the distance of the pulse wave propagation to find an error, and the weight of the neural network model is updated based on the error. And considering that the model training is finished until the model finally outputs data representing the distance difference of pulse wave conduction.

In another embodiment of the present application, the human pulse wave distance difference model may also be a machine learning model such as a decision tree or linear regression. Taking the pulse wave distance difference model of a human body as an example of a decision tree, the age, height, weight, sex and the type of the measured PWV of the human body can be configured as different branches of the decision tree, and the corresponding pulse wave distance difference can be calculated according to the input probability corresponding to the age, height, weight, sex and the type of the measured PWV of the human body.

If the user chooses to measure the pulse wave propagation distance difference again, the process proceeds to S307.

S308: smart watch 100 measures the difference in pulse wave propagation distance

The smart watch 100 sends a prompt voice to the user according to the positions of the dial 110 and the base 120, and prompts the user to continuously maintain a measurement posture, so that the first distance measuring sensor 114 and the second distance measuring sensor 124 arranged on the dial 110 and the base 120 complete the measurement of the distance difference of the pulse wave propagation. For example, as shown in fig. 4b, in the case where the dial 110 and the base 120 are respectively disposed on the neck 201 and the wrist 202, 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 in the same vertical plane, and then the user presses the side key of the dial 110 with the right hand to trigger the measurement of the distance difference between the dial 110 and the base 120 through the first ranging sensor 114 and the second ranging sensor 124, and when the measurement is completed, the smart watch 100 may issue a prompt to the user and the user may end the measurement posture.

The distance difference between the measuring dial 110 and the base 120 can be achieved by ultrasonic distance measurement between the first distance measuring sensor 114 and the second distance measuring sensor 124. For example, when the first distance measuring sensor 114 transmits an ultrasonic wave to the second distance measuring sensor 124, the first distance measuring sensor 114 starts timing at the same time as the transmission time, the ultrasonic wave immediately returns when hitting the second distance measuring sensor 124 while propagating through the air, and the timing is immediately stopped when the first distance measuring sensor 114 receives the reflected wave. After the first distance measuring sensor 114 obtains the round trip time of the ultrasonic wave, the vertical distance between the first distance measuring sensor 114 and the second distance measuring sensor 124 can be obtained by the propagation speed of the ultrasonic wave in the air. This vertical distance is also the difference Δ L in the distance of the pulse wave propagation. The first ranging sensor 114 transmits the distance difference Δ L of the pulse wave propagation 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 by infrared distance measurement between the first distance measuring sensor 114 and the second distance measuring sensor 124. Taking infrared distance measurement as an example, the first distance measurement sensor 114 emits infrared rays, and the second distance measurement sensor 124 receives the infrared rays, and then the distance between the first distance measurement sensor 114 and the second distance measurement sensor 124 can be calculated according to the time from the emission of the infrared rays to the reception of the infrared rays and the propagation speed of the infrared rays, and the distance can be used as the distance difference Δ L of pulse wave propagation.

It is understood that the vertical distance between the first ranging sensor 114 and the second ranging sensor 124, i.e. the distance difference of pulse wave propagation, can also be obtained after the measurement is initiated by the second ranging sensor 124.

S309: the smart watch 100 calculates crpvv between the neck 201 and the wrist 202 by Δ L/Δ t.

For example, the measured aorta crpvv mainly uses the difference in the distance of pulse wave propagation divided by the time difference of pulse wave propagation to obtain crpvv. The calculation principle is shown as the following formula:

according to the description of fig. 3, the process of the smart watch 100 described in S305 to S307 to measure the distance difference of pulse wave propagation is at S302: the process described in S305 to S307 may be performed before S302 in another embodiment of the present invention, although the process described in S305 to S307 may be 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. There is no sequential execution relationship between the two.

In some embodiments of the present application, the user may also wear the smart watch 100 on the wrist of the right hand, place the watch face 110 at the carotid artery of the right shoulder, and calculate the crpvv by measuring the PPG signals conducted to the wrist of the right hand and the carotid artery of the right shoulder.

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

The smart watch 100 may further communicate with the server 300, and the dial 110 and the base 120 of the smart watch 100 send two PPG signals to the server 300 after measuring the PPG signals conducted to the neck 201 and the PPG signals of the wrist 202, and the server 300 calculates the time difference Δ t of pulse wave conduction with the two PPG signals.

Another method of aortic PWV measurement of the present application is described below in conjunction with fig. 5. The difference from the method for measuring the aortic PWV described in fig. 3 is that in this embodiment, the first measurement site 201 and the second measurement site 202 are the ankle 201 and the wrist 202, respectively, and the method in fig. 5 measures rappv (Radial and Pulse Wave Velocity).

The user 200 wears the smart watch 100 on the ankle 202 and then removes the dial plate 110 to place the dial plate 110 on the wrist 201, so that the dial plate 110 and the base 120 are placed on the wrist 201 and the ankle 202, respectively. The smart watch 100 measures a first PPG signal and a second PPG signal of pulse waves of the wrist 201 and the ankle 202 respectively through the first PPG sensor 113 of the dial 110 and the second PPG sensor 123 of the base 120, calculates a time difference Δ t of pulse wave conduction therefrom, and meanwhile, the smart watch 100 acquires a distance difference Δ L of pulse wave conduction through the first distance measurement sensor 114 and the second distance measurement sensor 124, and calculates rapvv according to Δ L/Δ t.

As shown in fig. 5, the process of rapvv measurement includes:

the difference from S301 in fig. 3 is that S501: after the smart watch 100 detects that the user starts rapvv measurement, the smart watch 100 prompts the user to separate the dial 110 and the base 120 and then place the separated dial on the wrist 201 and the ankle 202 of the user.

For example, the user wears the smart watch 100 on the ankle 202 of the right hand such that the dial plate 110 is located at the ankle artery location of the ankle 202 of the right foot, which may be the inner side of the ankle 202 of the right foot. Meanwhile, the user uses the left hand to detach the dial plate 110 of the smart watch 100, and places the skin attached to the dial plate 110 at the radial artery position of the wrist 201 of the right hand, so that the first PPG sensor 113 of the dial plate 110 can measure the PPG signal of the pulse wave of the ankle 202.

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

S502: in response to a measurement instruction of the PPG signal from the user, the smart watch 100 performs PPG detection on the wrist 201 and the ankle 202 by the dial 110 and the base 120, respectively.

For example, after wearing 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, and 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, and the instruction causes the dial 110 and the base 120 to perform PPG detection on the wrist 201 and the ankle 202 for one measurement duration, and obtain PPG signals of the two.

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 a signal threshold, and if so, continues to S505; otherwise, the smart watch 100 prompts the user to resume the measurement, and resumes to S502.

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

For example, the smart watch 100 acquires a first PPG signal of the wrist 201 and a second PPG signal of the ankle 202 over a measurement duration and converts the first PPG signal and the second PPG signal into a first waveform map and a second waveform map. Next, the pulse wave conduction time difference Δ t is calculated by calculating the average of the time differences between the bottom points of the valleys in the first waveform map and the second waveform map.

S505: smart watch 100 measures the difference in pulse wave propagation distance

For example, as shown in fig. 6, in the case where the dial 110 and the base 120 are respectively disposed at the wrist 201 and the ankle 202, the smart watch 100 prompts the user to hang down the right hand and keep standing vertically so that the dial 110 and the base 120 are located in the same vertical plane, and then the user presses the side key of the dial 110 with the left hand to trigger the measurement of the distance difference between the dial 110 and the base 120 through the first distance measuring sensor 114 and the second distance measuring sensor 124, and when the measurement is completed, the smart watch 100 may give a prompt to the user, and the user may end the measurement posture.

S506: the smart watch 100 calculates rapW between the ankle 202 and the wrist 201 by Δ L/Δ t.

For example, the measured aortic rapvv mainly uses the difference in the distance of pulse wave propagation divided by the difference in the time of pulse wave propagation to obtain rapvv. The calculation principle is shown as the following formula:

in another embodiment of the present application, the first measurement site 201 and the second measurement site 202 are the neck 201 and ankle 202, respectively, and the measurement in this embodiment is caPWV (Carotid artery and ankle Pulse Wave Velocity). The difference between fig. 3 and 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 a human voice distance measurement method. The method for measuring the distance by human voice is to calculate the distance between the dial 110 and the base 120 by multiplying the propagation speed of voice by the time difference between the voice sent by the user and the time when the voice reaches the dial 110 and the base 120. For example, when the smart watch 100 prompts the user to perform the pulse wave propagation distance difference, the user sends a "please detect" voice, and the microphones on the dial 110 and the base 120 respectively receive the voice sent by the user, and the first distance measuring sensor 114 and the second distance measuring sensor 124 of the dial 110 and the base 120 respectively calculate the distance between the dial 110 and the base 120 by multiplying the time difference of the voice sent by the user, which is received by the microphones, by the propagation speed of the voice in the air (e.g., 340m/s), which is the distance difference between the carotid artery and the ankle joint pulse waves.

Another method of aortic PWV measurement of the present application is described below with reference to fig. 7 using electronic device 100 as smart watch 100. Unlike the methods described in fig. 3 and 5, in this method, the smart watch 100 may take crpvv measurements in conjunction with the smart headset 400. In this solution, the first measurement site 201 and the second measurement site 202 are a neck 201 and a wrist 202, respectively.

The user 200 wears the smart watch 100 on the wrist 202 while wearing the smart headset 400. After the smart headset 400 and the smart watch 100 measure a first PPG signal and a second PPG signal of pulse waves of the neck 201 and the wrist 202 respectively through the PPG sensors of the smart headset 400 and the smart watch 100, the smart headset 400 sends the first PPG signal to the smart watch 100, and the smart watch 100 calculates a time difference Δ t of pulse wave conduction from the first PPG signal and the second PPG signal; then, the smart watch 100 and the smart headset 400 respectively obtain the distance difference Δ L of the pulse wave propagation through their own distance measuring sensors, and calculate crpvv according to Δ L/Δ t.

The process of the above crppv measurement includes:

the difference from S301 in fig. 3 is that S701: s501: after the smart watch 100 detects that the user starts the crpvv measurement, the smart watch 100 prompts the user to wear the smart watch 100 and the smart headset 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 may acquire the second PPG signal of the pulse wave of the radial artery of the wrist 202, and at the same time, the user may acquire the first PPG signal of the pulse wave of the carotid artery of the neck 201 through the PPG sensor of the smart headset 400. Here, the smart headset 400 may prompt the user to do the above operation.

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

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

For example, when the user clicks the key 103 of the smart watch 100 with the right hand to start the PWV measurement, the processor 106 of the smart watch 100 simultaneously sends an instruction to start the PWV measurement to the smart watch 100 and the smart headset 400 after clicking the key, and the instruction causes the smart watch 100 and the smart headset 400 to perform PPG detection on the neck 201 and the wrist 202 for a measurement duration, and acquire a first PPG signal and a second PPG signal of the two. The smart headset 400 transmits the measured first PPG signal of the neck 201 to the smart watch 100.

S703: the smart watch 100 detects whether the measured first and second PPG signals meet a signal threshold, and if so, continues to S704; otherwise, the smart watch 100 prompts the user to resume measurement, resuming to S702.

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

For example, the smart watch 100 acquires a first PPG signal of the neck 201 and a second PPG signal of the wrist 202 over a measurement duration and converts the first PPG signal and the second PPG signal into a first waveform map and a second waveform map. Next, the pulse wave conduction time difference Δ t is calculated by calculating the average of the time differences between the bottom points of the valleys in the first waveform map and the second waveform map.

S705: smart watch 100 measures the difference in pulse wave propagation distance

For example, the smart watch 100 may prompt the user to lift the left hand wearing the smart watch 100 vertically upward in a manner as described in fig. 4b, and press the smart headset 400 close to the neck 201, so that the smart watch 100 and the smart headset 400 are located in the same vertical plane, and then the user presses the side key of the smart watch 100 through the right hand to trigger the smart watch 100 and the smart headset 400 to measure the distance difference between the smart watch 100 and the smart headset 400 through the respective distance measuring sensors, and when the measurement is completed, the smart watch 100 may send a prompt to the user, and the user may end the measurement gesture.

S706: the smart watch 100 calculates crpvv between the ankle 201 and the wrist 202 by Δ L/Δ t.

in one embodiment of the present application, the user may measure aortic PWV by wearing two smartwatches, for example one of which is worn on the wrist and the other on the ankle. Embodiments of the present application are not limited to the type of electronic device, and any electronic device that can configure a PPG sensor for PPG signal measurement is within the scope of the present application.

In another embodiment of the present application, the smart watch 100, the smart headset 400 may further communicate with the cell phone 500, and the cell phone 500 controls the smart headset 400 and the smart watch 100 to measure a first PPG signal of a pulse wave of a carotid artery of the neck 201 and a second PPG signal of a pulse wave of a radial artery of the wrist 202, respectively. After the smart headset 400 and the smart watch 100 send the first PPG signal and the second PPG signal to the cell phone 500, the cell phone 500 calculates a time difference Δ t of pulse wave conduction; meanwhile, the cell phone 500 controls the smart watch 100 and the smart phone 400 to measure a distance difference between the smart watch 100 and the smart phone 400 through respective distance measuring sensors. The mobile phone 500 can also directly obtain historical data of the distance difference of the user measured pulse wave conduction; finally, the handset 500 obtains crpvv according to the distance difference of the pulse wave propagation divided by the time difference of the pulse wave propagation.

Intelligent earphone 400 can be wear-type, neck hanging and in-ear, and the embodiment of this application does not restrict to intelligent earphone 400's model, and to the intelligent earphone 400 of wear-type, the PPG sensor can set up in the one end of intelligent earphone 400, and the user can carry out PPG signal measurement with the one end that is provided with the PPG sensor and is close to the neck. For the neck-hung smart headset 400, the PPG sensor may be disposed on the neck-hung component of the smart headset 400, and the user may measure the PPG signal by pressing the neck-hung component provided with the PPG sensor close to the neck. For the in-ear smart headset 400, the PPG sensor may be disposed at any position of the left and right earphones of the smart headset 400, and the user may measure the PPG signal of the earphone disposed with the PPG sensor close to the neck.

Fig. 8 shows a block diagram of one possible configuration of the electronic device 100 shown in fig. 1 according to an embodiment of the present application. The electronic device 100 can perform the pulse wave measurement method provided by the embodiment of the 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, a power management module 141, a battery 142, an antenna 1, an antenna 2, a mobile communication module 150, a wireless communication module 160, an audio module 170, a speaker 170A, a receiver 170B, a microphone 170C, an earphone interface 170D, a sensor module 180, keys 190, a motor 198, an indicator 192, a camera 193, a display screen 194, a Subscriber Identity Module (SIM) card interface 195, and the like. 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, an ambient light sensor 180L, a bone conduction sensor 180M, and the like.

It is to be understood that the illustrated structure of the embodiment of the present application does not specifically limit the electronic device 100. In other embodiments of the present application, electronic device 100 may include more or fewer components than shown, or some components may be combined, some components may be split, or a different arrangement of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

Processor 110 may include one or more processing units, such as: the processor 110 may include an Application Processor (AP), a modem processor, a Graphics Processing Unit (GPU), an Image Signal Processor (ISP), a controller, a video codec, a Digital Signal Processor (DSP), a baseband processor, and/or a neural-Network Processing Unit (NPU), etc. The different processing units may be separate devices or may be integrated into one or more processors. The controller can generate an operation control signal according to the instruction operation code and the timing signal to complete the control of instruction fetching and instruction execution.

A memory may also be provided in processor 110 for storing instructions and data. In some embodiments, the memory in the processor 110 is a cache memory. The memory may hold instructions or data that have just been used or recycled by the processor 110. If the processor 110 needs to reuse the instruction or data, it can be called directly from the memory. Avoiding repeated accesses reduces the latency of the processor 110, 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 movement routes based on road section topographic information, road section environmental information, road section safety information, and the like, calculate a total score corresponding to each of the plurality of candidate movement routes, derive a merit and a demerit corresponding to each of the plurality of candidate movement routes, and then rank the plurality of candidate movement routes.

In the case that 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 calculates the pulse wave conduction velocity according to the second pulse wave signal and the first pulse wave signal received from the first device.

In some embodiments, processor 110 may include one or more interfaces. The interface may include an integrated circuit (I2C) interface, an integrated circuit built-in audio (I2S) interface, a Pulse Code Modulation (PCM) interface, a universal asynchronous receiver/transmitter (UART) interface, a Mobile Industry Processor Interface (MIPI), a general-purpose input/output (GPIO) interface, a Subscriber Identity Module (SIM) interface, and/or a Universal Serial Bus (USB) interface, a Micro USB interface, a USB Type C interface, and the like. The USB interface 130 may be used to connect a charger to charge the electronic device 100, and may also be used to transmit data between the electronic device 100 and a peripheral device. And the earphone can also be used for connecting an earphone and playing audio through the earphone. The interface may also be used to connect other electronic devices, such as AR devices and the like.

It should be understood that the interface connection relationship between the modules illustrated in the embodiments of the present application is only an illustration, and does not limit the structure of the electronic device 100. In other embodiments of the present application, the electronic device 100 may also adopt different interface connection manners or a combination of multiple interface connection manners in the above embodiments.

The charging management module 140 is configured to receive charging input from a charger. The power management module 148 is used to connect 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 provides power to the processor 180, the internal memory 121, the display 194, the camera 193, the wireless communication module 160, and the like. The power management module 148 may also be used to monitor parameters such as battery capacity, battery cycle number, battery state of health (leakage, impedance), etc. In some other embodiments, the power management module 141 may also be disposed in the processor 180. In other embodiments, the power management module 141 and the charging management module 140 may be disposed 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, a modem processor, a baseband processor, and the like. The electronic device 100 may wirelessly communicate with other electronic devices, for example, a wearable device or a server, through the wireless communication module 160. The electronic device 100 may send a wireless signal to the server through the wireless communication module 160, and request the server to perform a wireless network service to process a specific service requirement of the electronic device (for example, request the server to perform a motion route recommendation); the electronic device 100 may also receive recommended movement route information from the server through the wireless communication module 160. The antennas 1 and 2 are used for transmitting and receiving electromagnetic wave signals. Each antenna in the electronic device 100 may be used to cover a single or multiple communication bands. Different antennas can also be multiplexed to improve the utilization of the antennas. For example: the antenna 1 may be multiplexed as a diversity antenna of a wireless local area network. In other embodiments, the antenna may be used in conjunction with a tuning switch.

The mobile communication module 150 may provide a solution including 2G/3G/4G/5G wireless communication applied to the electronic device 100. The electronic apparatus 100 may acquire map information of the surroundings of the user through the mobile communication module 150. The wireless communication module 160 may provide a solution for wireless communication applied to the electronic device 100, including Wireless Local Area Networks (WLANs) (e.g., wireless fidelity (Wi-Fi) networks), bluetooth (bluetooth, BT), Global Navigation Satellite System (GNSS), Frequency Modulation (FM), Near Field Communication (NFC), Infrared (IR), and the like. 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, performs frequency modulation and filtering processing on electromagnetic wave signals, and transmits the processed signals to the processor 110. The wireless communication module 160 may also receive a signal to be transmitted from the processor 110, perform frequency modulation and amplification on the signal, and convert the signal into electromagnetic waves through the antenna 2 to radiate the electromagnetic waves.

In some embodiments, the electronic device 100 can be communicatively coupled to other electronic devices through the mobile communication module 150 or the wireless communication module 160.

In some embodiments, antenna 1 of electronic device 100 is coupled to mobile communication module 150 and antenna 2 is coupled to wireless communication module 160 so that electronic device 100 can communicate with networks and other devices through wireless communication techniques. The wireless communication technology may include global system for mobile communications (GSM), General Packet Radio Service (GPRS), code division multiple access (code division multiple access, CDMA), Wideband Code Division Multiple Access (WCDMA), time-division code division multiple access (time-division code division multiple access, TD-SCDMA), Long Term Evolution (LTE), LTE, BT, GNSS, WLAN, NFC, FM, and/or IR technologies, etc. The GNSS may include a Global Positioning System (GPS), a global navigation satellite system (GLONASS), a bei dou navigation satellite system (BDS), a quasi-zenith satellite system (QZSS), and/or a Satellite Based Augmentation System (SBAS).

The electronic device 100 implements display functions via the GPU, the display screen 194, and the application processor. The GPU is a microprocessor for image processing, and is connected to the display screen 194 and an application processor. The GPU is used to perform mathematical and geometric calculations for graphics rendering. The 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 the ISP, the camera 193, the video codec, the GPU, the display 194, the application processor, and the like. In some embodiments of the present application, the display screen 194 is configured to display recommended movement route information recommended by the electronic device 100 itself or recommended movement route information (e.g., ranking results of recommended movement routes, route schematic, route significant advantages and disadvantages, etc.) received from other electronic devices (e.g., a server) for the user to select a personalized movement route.

The external memory interface 120 may be used to connect an external memory card, such as a Micro SD card, to extend the memory capability of the electronic device 100. The external memory card communicates with the processor 110 through the external memory interface 120 to implement a data storage function. For example, files such as audio, video, etc. are saved in an external memory card.

The internal memory 121 may be used to store computer-executable program code, which includes instructions. The internal memory 121 may include a program storage area and a data storage area. The storage program area may store an operating system, an application program (such as voice navigation, image playing function, etc.) required by at least one function, and the like. The storage data area may store data (such as audio data, phone book, etc.) created during use of the electronic device 100, and the like. In addition, the internal memory 121 may include a high-speed random access memory, and may further include a nonvolatile memory, such as at least one magnetic disk storage device, a flash memory device, a universal flash memory (UFS), and the like. The processor 110 executes various functional applications of the electronic device 100 and data processing 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 via the audio module 170, the speaker 170A, the receiver 170B, the microphone 170C, the headphone interface 170D, and the application processor. Such as music playing, recording, etc.

The keys 190 include a power-on key, a volume key, and the like. The keys 190 may be mechanical keys. Or may be touch keys. The electronic apparatus 100 may receive a key input, and generate a key signal input related to user setting and function control of the electronic apparatus 100.

The motor 191 may generate a vibration cue. The motor 191 may be used for incoming call vibration cues, as well as for touch vibration feedback. For example, touch operations applied to different applications (e.g., photographing, audio playing, etc.) may correspond to different vibration feedback effects. The motor 191 may also respond to different vibration feedback effects for touch operations applied to different areas of the display screen 194. Different application scenes (such as time reminding, receiving information, alarm clock, game and the like) can also correspond to different vibration feedback effects. The touch vibration feedback effect may also support customization.

Indicator 192 may be an indicator light that may be used to indicate a state of charge, a change in charge, or a message, missed call, notification, etc. The SIM card interface 195 is used to connect a SIM card.

In the drawings, some features of the structures or methods may be shown in a particular arrangement and/or order. However, it is to be understood that such specific arrangement and/or ordering 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. In addition, the inclusion of a structural or methodical feature in a particular figure is not meant to imply that such feature is required in all embodiments, and in some embodiments, may not be included or may be combined with other features.

It should be noted that, in the embodiments of the apparatuses in the present application, each unit/module is a logical unit/module, and physically, one logical unit/module may be one physical unit/module, or may be a part of one physical unit/module, and may also be implemented by a combination of multiple physical units/modules, where the physical implementation manner of the logical unit/module itself is not the most important, and the combination of the functions implemented by the logical unit/module is the key to solve the technical problem provided by the present application. Furthermore, 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 which are not so closely related to solve the technical problems presented in the present application, which does not indicate that no other units/modules exist in the above-mentioned device embodiments.

It is noted that, in the examples and descriptions of this patent, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the use of the verb "comprise a" to define an element does not exclude the presence of another, same element in a process, method, article, or apparatus that comprises the element.

While the present application has been shown 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 details may be made therein without departing from the spirit and scope of the present application.

Claims

1. A pulse wave measuring device characterized by comprising:

and the second equipment is in wireless communication with the first equipment and comprises at least one pulse wave sensor and is used for measuring a second pulse wave at a second position of the user through the pulse wave sensor to obtain a second pulse wave signal and calculating the pulse wave conduction speed according to the second pulse wave signal and the first pulse wave signal received from the first equipment.

2. The apparatus of claim 1, wherein the first device and the second device are removably connected.

3. The device according to claim 2, wherein the pulse wave measuring device is a smart bracelet or a smart watch.

4. The apparatus according to claim 3, wherein the first device is a base portion of the pulse wave measuring apparatus, and the second device is a dial portion of the pulse wave measuring apparatus.

5. The apparatus of claim 1, wherein the first device is a smart bracelet or a smart watch and the second device is a headset.

6. The apparatus 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, a piezoresistive pulse wave sensor.

7. The apparatus according to claim 1, wherein the second device calculates a time difference of pulse waves at a first position of the user and a second position of the user from the first pulse wave signal and the second pulse wave signal, and takes a ratio between a difference in distance of blood flow of the user through the first position and the second position and the time difference as the pulse wave propagation velocity.

8. The apparatus according to claim 7, characterized in that the first and second devices re-measure the first and second pulse wave signals in case at least one of the first and second pulse wave signals is smaller than a signal threshold.

9. The apparatus according to claim 7, wherein the second device calculates a time difference of pulse waves of a first position of the user and a second position of the user from the first pulse wave signal and the second pulse wave signal, including:

the second device sets the first waveform diagram and the second waveform diagram in a coordinate system with the horizontal axis as the measuring time length, and the first waveform diagram and the second waveform diagram respectively comprise a plurality of wave troughs;

the second equipment acquires a plurality of pairs of wave troughs with the same positions in the first oscillogram and the second oscillogram;

the second equipment calculates the time difference between the bottom points of each pair of wave troughs on the basis of the measurement duration;

10. The apparatus of claim 7, wherein the first device and the second device each comprise a distance measuring sensor for measuring a difference in distance of blood flow through the first location and the second location.

11. The apparatus of claim 10, wherein measuring the difference in distance between the first location of the user and the second location of the user comprises:

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

calculating a distance difference between the first position and the second position based on the conduction velocity of the ultrasonic wave and the conduction time.

12. The apparatus of claim 10, wherein the first device and the second device measure the range difference by way of infrared ranging.

13. The apparatus of claim 7, wherein the distance difference is a distance difference used in measuring a velocity of the historical pulse wave.

14. The apparatus of claim 7, wherein the distance difference between the first location of the user and the second location of the user is calculated based on the gender, age, height, and weight of the user.

15. A pulse wave measurement method characterized by performing pulse wave measurement by a pulse wave measurement apparatus, wherein the pulse wave measurement apparatus includes a first device and a second device capable of wireless communication with the first device;

the method comprises the following steps:

acquiring a first pulse wave signal measured by a pulse wave sensor of the first device located at a first position of a 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;

calculating a pulse wave velocity from the second pulse wave signal and the first pulse wave signal received from the first device.

16. A system for pulse wave measurement, comprising:

17. A computer-readable medium, characterized in that the computer-readable medium has stored thereon instructions which, when executed on a computer, cause the computer to execute the pulse wave measurement method according to claim 15.

18. A pulse wave measuring device characterized by comprising:

the device comprises a first device and a second device, wherein the first device comprises at least one pulse wave sensor and is used for measuring a first pulse wave at a first position of a user through the pulse wave sensor to obtain a first pulse wave signal;

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

A 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 and second devices to derive the first and second pulse wave signals, respectively, and to calculate a pulse wave velocity from the second pulse wave signal and the first pulse wave signal received from the first device.