CN118436324A

CN118436324A - Pulse arrival time difference acquisition method, central blood pressure acquisition method and device

Info

Publication number: CN118436324A
Application number: CN202311160406.1A
Authority: CN
Inventors: 毛维高
Original assignee: Honor Device Co Ltd
Current assignee: Honor Device Co Ltd
Priority date: 2023-09-07
Filing date: 2023-09-07
Publication date: 2024-08-06

Abstract

The application provides a pulse arrival time difference acquisition method, a central blood pressure acquisition method and a device, wherein the central blood pressure acquisition method comprises the following steps: acquiring first pulse wave data acquired at a heart far-end pulse sampling area of a measured object, and acquiring second pulse wave data acquired at a heart near-end pulse sampling area of the measured object; acquiring pulse arrival time difference of the tested object according to the waveform characteristic information of the first type of the first pulse wave data and the waveform characteristic information of the first type of the second pulse wave data; and acquiring the central blood pressure of the tested object according to the pulse arrival time difference and the waveform characteristic information of the second type of the second pulse wave data. The application can provide support for noninvasive measurement of central blood pressure.

Description

Pulse arrival time difference acquisition method, central blood pressure acquisition method and device

Technical Field

The present application relates to the field of electronic devices, and in particular, to a method for acquiring a pulse arrival time difference, a method for acquiring a central blood pressure, and a device for acquiring a central blood pressure.

Background

Central blood pressure, or central arterial blood pressure, central aortic blood pressure refers to the aortic blood pressure near the heart. Since the pressure applied to the internal organs such as the heart is directly detected, the acquisition of the central blood pressure is useful for predicting diseases in the cardiovascular and cerebrovascular system such as stroke, myocardial infarction, heart failure, and the like.

Central blood pressure can currently be measured based on thermal dilution. However, in contrast to the upper wrist blood pressure, which can be measured noninvasively, the thermal dilution method measures the central blood pressure, and a catheter must be inserted near the heart.

Disclosure of Invention

The embodiment of the application provides a pulse arrival time difference acquisition method, a central blood pressure acquisition method and a central blood pressure acquisition device, which can provide support for noninvasive measurement of central blood pressure.

In a first aspect, an embodiment of the present application provides a method for acquiring a pulse arrival time difference, including: acquiring first pulse wave data acquired at a heart far-end pulse sampling area of a measured object, and acquiring second pulse wave data acquired at a heart near-end pulse sampling area of the measured object; and acquiring the pulse arrival time difference of the tested object according to the waveform characteristic information of the first type of the first pulse wave data and the waveform characteristic information of the first type of the second pulse wave data.

The pulse arrival time difference acquisition method provided by the embodiment of the application can accurately measure the pulse arrival time difference of the measured object by acquiring the heart far-end pulse wave data and the heart near-end pulse wave data of the measured object, and the measured pulse arrival time difference can be used for acquiring the central blood pressure of the measured object, so that data support is provided for noninvasively measuring the central blood pressure.

In a second aspect, an embodiment of the present application provides a central blood pressure obtaining method, including: acquiring first pulse wave data acquired at a heart far-end pulse sampling area of a measured object, and acquiring second pulse wave data acquired at a heart near-end pulse sampling area of the measured object; acquiring pulse arrival time difference of the tested object according to the waveform characteristic information of the first type of the first pulse wave data and the waveform characteristic information of the first type of the second pulse wave data; and acquiring the central blood pressure of the tested object according to the pulse arrival time difference and the waveform characteristic information of the second type of the second pulse wave data.

The central blood pressure acquisition method provided by the embodiment of the application can accurately measure the pulse arrival time difference of the measured object by acquiring the heart far-end pulse wave data and the heart near-end pulse wave data of the measured object, and further can accurately measure the central blood pressure of the measured object based on the pulse arrival time difference and the heart near-end pulse wave data.

Compared with a thermal dilution method, the central blood pressure measurement method provided by the embodiment of the application can be carried out noninvasively and is convenient to operate.

Compared with the implementation mode of measuring blood pressure by using a traditional cuff type sphygmomanometer, the central blood pressure measurement mode provided by the embodiment of the application can omit the cuff inflation and deflation process, has no defects of blood vessel compression, incapability of continuously measuring blood pressure and the like, and the measured central blood pressure can be beneficial to predicting diseases in the aspect of cardiovascular and cerebrovascular diseases such as apoplexy, myocardial infarction, heart failure and the like.

Compared with the existing cuff-free blood pressure measurement technology, the embodiment of the application has the central blood pressure measurement capability, can accurately measure central blood pressure and improves blood pressure measurement accuracy.

Optionally, the first type of waveform characteristic information includes: at least one of a rise time, an arterial index, a rise area, and a cardiac cycle of a single pulse wave in the pulse wave data. The waveform characteristics based on the pulse wave data can realize accurate waveform matching of the far-end pulse wave data and the near-end pulse wave data, so that accurate measurement of pulse arrival time difference can be realized.

Optionally, the second type of waveform characteristic information includes: at least one of a rising branch maximum slope, a pulse wave amplitude ratio, a diastolic area, a peak-to-valley amplitude ratio and a rising area of a single pulse wave in the pulse wave data. Based on these waveform features of the pulse arrival time difference and the heart proximal pulse wave data, accurate measurement of the central blood pressure can be achieved.

Optionally, the first pulse wave data and the second pulse wave data are obtained under a first condition, the first condition comprising: the device for acquiring the first pulse wave data and the device for acquiring the second pulse wave data are kept time aligned during the pulse wave data acquisition.

The inter-device time service may be based on PTP (precision time protocol) timing to maintain time alignment. Benefit from Gao Shoushi accuracy, helping to accurately measure pulse arrival time differences.

Optionally, the central blood pressure acquisition method further comprises: according to the time stamp information of the first pulse wave data and the time stamp information of the second pulse wave data, performing time stamp alignment of the first pulse wave data and the second pulse wave data; and executing the step of acquiring the pulse arrival time difference of the tested object according to the first pulse wave data and the second pulse wave data with the time stamps aligned.

The influence of incomplete consistency of acquisition starting moments of different pulse wave acquisition devices on accurate measurement of pulse arrival time difference can be avoided through time stamp alignment processing.

Optionally, the central blood pressure acquisition method further comprises: collecting state data of a measured object based on a first time interval; detecting whether the detected object is in a motion state according to the state data; under the condition that the frequency of detecting that the detected object is in a motion state in the current period does not exceed the set frequency, the first pulse wave data are the pulse wave data acquired at the pulse sampling area at the far end of the heart in the current period, and the second pulse wave data are the pulse wave data acquired at the pulse sampling area at the near end of the heart in the current period.

The first pulse wave data and the second pulse wave data can be defined to be pulse wave data acquired under the condition that the measured object meets the movement state requirement, and the pulse wave data acquired under the condition that the measured object does not meet the movement state requirement is not used for measuring the central blood pressure so as to ensure accurate measurement of the central blood pressure.

Optionally, the distal heart pulse sampling region is a wrist artery region, and the proximal heart pulse sampling region is an ear artery region. The central blood pressure of the user can be measured under the condition that the user wears the earphone and the watch normally, and the measuring mode is noninvasive and convenient.

In a third aspect, embodiments of the present application provide a first electronic device comprising one or more memories for storing computer program instructions, and one or more processors, wherein the computer program instructions, when executed by the one or more processors, trigger the first electronic device to perform the following first method steps: collecting first pulse wave data at a heart far-end pulse sampling area of a measured object; acquiring second pulse wave data acquired by a second electronic device at a heart proximal pulse sampling area of a measured object; acquiring pulse arrival time difference of the tested object according to the waveform characteristic information of the first type of the first pulse wave data and the waveform characteristic information of the first type of the second pulse wave data; and acquiring the central blood pressure of the tested object according to the pulse arrival time difference and the waveform characteristic information of the second type of the second pulse wave data.

Optionally, the first method step further comprises: during pulse wave data acquisition, by timing to the second electronic device, to remain in time alignment with the second electronic device.

Optionally, the first method step further comprises: generating time stamp information of the first pulse wave data; receiving time stamp information of second pulse wave data sent by second electronic equipment; according to the time stamp information of the first pulse wave data and the time stamp information of the second pulse wave data, performing time stamp alignment of the first pulse wave data and the second pulse wave data; and executing the step of acquiring the pulse arrival time difference of the tested object according to the first pulse wave data and the second pulse wave data with the time stamps aligned.

Optionally, the first method step further comprises: collecting state data of a measured object based on a first time interval; detecting whether the detected object is in a motion state according to the state data; under the condition that the frequency of detecting that the detected object is in a motion state in the current period does not exceed the set frequency, the first pulse wave data are pulse wave data acquired by the first electronic device at the heart far-end pulse sampling area in the current period, and the second pulse wave data are pulse wave data acquired by the second electronic device at the heart near-end pulse sampling area in the current period.

In a fourth aspect, embodiments of the present application provide a second electronic device comprising one or more memories for storing computer program instructions, and one or more processors, wherein the computer program instructions, when executed by the one or more processors, trigger the second electronic device to perform the following second method steps: collecting second pulse wave data at a heart proximal pulse sampling area of a measured object; and sending the second pulse wave data to first electronic equipment, wherein the first electronic equipment is used for acquiring the first pulse wave data at a heart far-end pulse sampling area of the tested object.

Optionally, the second method step further comprises: in response to operation of the first electronic device to time the second electronic device during the pulse wave data acquisition to maintain time alignment with the first electronic device.

Optionally, the second method step further comprises: generating time stamp information of the second pulse wave data; and sending the time stamp information of the second pulse wave data to the first electronic device.

In a fifth aspect, an embodiment of the present application provides a storage medium having a computer program stored therein, which when run on a first electronic device causes the first electronic device to perform the following first method steps: collecting first pulse wave data at a heart far-end pulse sampling area of a measured object; acquiring second pulse wave data acquired by a second electronic device at a heart proximal pulse sampling area of a measured object; acquiring pulse arrival time difference of the tested object according to the waveform characteristic information of the first type of the first pulse wave data and the waveform characteristic information of the first type of the second pulse wave data; and acquiring the central blood pressure of the tested object according to the pulse arrival time difference and the waveform characteristic information of the second type of the second pulse wave data.

In a sixth aspect, an embodiment of the present application provides a storage medium having a computer program stored therein, which when run on a second electronic device causes the second electronic device to perform the following second method steps: collecting second pulse wave data at a heart proximal pulse sampling area of a measured object; and sending the second pulse wave data to first electronic equipment, wherein the first electronic equipment is used for acquiring the first pulse wave data at a heart far-end pulse sampling area of the tested object.

In a seventh aspect, an embodiment of the present application provides an electronic chip, including: and a processor for executing the computer program instructions stored on the memory, wherein the computer program instructions, when executed by the processor, trigger the electronic chip to perform the first method steps described above.

In a seventh aspect, an embodiment of the present application provides an electronic chip, including: and a processor for executing the computer program instructions stored on the memory, wherein the computer program instructions, when executed by the processor, trigger the electronic chip to perform the second method steps described above.

In a ninth aspect, embodiments of the present application provide a computer program product comprising a computer program for causing a computer to carry out the above-mentioned first method steps when the computer program is run on a computer.

In a tenth aspect, embodiments of the present application provide a computer program product comprising a computer program for causing a computer to carry out the above-mentioned second method steps when the computer program is run on a computer.

The technical effects of the foregoing aspects may be referred to each other, and will not be described herein.

Drawings

In order to more clearly illustrate the technical solution of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described.

Fig. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present application;

FIG. 2 is a schematic diagram of a central blood pressure measurement system according to an embodiment of the present application;

FIG. 3 is a schematic diagram of a pulse arrival time difference measurement according to an embodiment of the present application;

Fig. 4 to fig. 6 are schematic diagrams of waveform feature information for acquiring pulse wave data according to an embodiment of the present application;

Fig. 7 is a flowchart of a pulse arrival time difference obtaining method according to an embodiment of the present application;

fig. 8 is a flowchart of a central blood pressure obtaining method according to an embodiment of the present application.

Detailed Description

For a better understanding of the technical solution of the present application, the following detailed description of the embodiments of the present application refers to the accompanying drawings.

It should be understood that the described embodiments are merely some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

The terminology used in the embodiments of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

It should be understood that the term "at least one" as used herein means one or more, and "a plurality" means two or more. The term "and/or" as used herein is merely one association relationship describing the associated object, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. Wherein A, B may be singular or plural. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship. "at least one of the following" and the like means any combination of these items, including any combination of single or plural items. For example, at least one of a, b and c may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or plural.

It should be understood that although the terms first, second, etc. may be used in embodiments of the present application to describe the set threshold values, these set threshold values should not be limited to these terms. These terms are only used to distinguish the set thresholds from each other. For example, a first set threshold may also be referred to as a second set threshold, and similarly, a second set threshold may also be referred to as a first set threshold, without departing from the scope of embodiments of the present application.

The method steps provided in any of the embodiments of the present application may be applied to the electronic device 100 shown in fig. 1. Fig. 1 shows a schematic configuration of an electronic device 100.

The electronic device 100 may include a processor 110, an external memory interface 120, an internal memory 121, a universal serial bus (universal serial bus, USB) interface 130, a charge 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 191, an indicator 192, a camera 193, a display 194, and a subscriber identity module (subscriber identification module, SIM) card interface 195, etc. The sensor module 180 may include a pressure sensor, a gyroscope sensor, a barometric sensor, a magnetic sensor, an acceleration sensor, a distance sensor, a proximity sensor, a fingerprint sensor, a temperature sensor, a touch sensor, an ambient light sensor, a bone conduction sensor, and the like.

It should be understood that the illustrated structure of the embodiment of the present application does not constitute a specific limitation on the electronic device 100. In other embodiments of the application, electronic device 100 may include more or fewer components than shown, or certain components may be combined, or certain components may be split, or different arrangements of 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, such as: 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), a controller, a video codec, a digital signal processor (DIGITAL SIGNAL processor, DSP), a baseband processor, and/or a neural-Network Processor (NPU), etc. Wherein the different processing units may be separate devices or may be integrated in one or more processors. The controller can generate operation control signals according to the instruction operation codes and the time sequence signals to finish the control of instruction fetching and instruction execution.

In some embodiments, the processor 110 may be a System On Chip (SOC), and the processor 110 may include a central processing unit (Central Processing Unit, CPU) therein, and may further include other types of processors. In some embodiments, the processor 110 may be a PWM control chip.

The processor 110 may also include the necessary hardware accelerators or logic processing hardware circuitry, such as an ASIC, or one or more integrated circuits for controlling the execution of a technical program, etc. Further, the processor 110 may have a function of operating one or more software programs, which may be stored in a storage medium.

A memory may also be provided in the 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 the processor 110 has just used or recycled. If the processor 110 needs to reuse the instruction or data, it can be called directly from the memory. Repeated accesses are avoided and the latency of the processor 110 is reduced, thereby improving the efficiency of the system.

In some embodiments, the memory of electronic device 100 may be read-only memory (ROM), other types of static storage devices that can store static information and instructions, random access memory (random access memory, RAM), or other types of dynamic storage devices that can store information and instructions, electrically erasable programmable read-only memory (ELECTRICALLY ERASABLE PROGRAMMABLE READ-only memory, EEPROM), or any computer-readable medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.

In some embodiments, the processor 110 and the memory may be combined into a single processing device, or may be separate components, and the processor 110 may be configured to execute program code stored in the memory. In particular implementations, the memory may also be integrated into the processor 110 or may be separate from the processor 110.

In some embodiments, the processor 110 may include one or more interfaces. The interfaces 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 receiver transmitter (universal asynchronous receiver/transmitter, UART) interface, a mobile industry processor interface (mobile industry processor interface, MIPI), a general-purpose input/output (GPIO) interface, a subscriber identity module (subscriber identity module, SIM) interface, and/or a universal serial bus (universal serial bus, USB) interface, among others.

The USB interface 130 is an interface conforming to the USB standard specification, and may specifically be a Mini USB interface, a Micro USB interface, a USB Type C interface, or the like.

It should be understood that the interfacing relationship between the modules illustrated in the embodiments of the present application is only illustrative, and is not meant to limit the structure of the electronic device 100. In other embodiments of the present application, the electronic device 100 may also employ different interfacing manners in the above embodiments, or a combination of multiple interfacing manners.

The charge management module 140 is configured to receive a charge input from a charger. The power management module 141 is used for connecting the battery 142, the charge management module 140 and the processor 110.

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 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 may also be multiplexed to improve the utilization of the antennas. For example: the antenna 1 may be multiplexed into 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 for wireless communication including 2G/3G/4G/5G, etc., applied to the electronic device 100. The mobile communication module 150 may include at least one filter, switch, power amplifier, low noise amplifier (low noise amplifier, LNA), etc. The mobile communication module 150 may receive electromagnetic waves from the antenna 1, perform processes such as filtering, amplifying, and the like on the received electromagnetic waves, and transmit the processed electromagnetic waves to the modem processor for demodulation. The mobile communication module 150 can amplify the signal modulated by the modem processor, and convert the signal into electromagnetic waves through the antenna 1 to radiate. In some embodiments, at least some of the functional modules of the mobile communication module 150 may be disposed in the processor 110. In some embodiments, at least some of the functional modules of the mobile communication module 150 may be provided in the same device as at least some of the modules of the processor 110.

The modem processor may include a modulator and a demodulator. The modulator is used for modulating the low-frequency baseband signal to be transmitted into a medium-high frequency signal. The demodulator is used for demodulating the received electromagnetic wave signal into a low-frequency baseband signal. The demodulator then transmits the demodulated low frequency baseband signal to the baseband processor for processing. The low frequency baseband signal is processed by the baseband processor and then transferred to the application processor. The application processor outputs sound signals through an audio device (not limited to the speaker 170A, the receiver 170B, etc.), or displays images or video through the display screen 194. In some embodiments, the modem processor may be a stand-alone device. In other embodiments, the modem processor may be provided in the same device as the mobile communication module 150 or other functional module, independent of the processor 110.

The wireless communication module 160 may provide solutions for wireless communication including wireless local area network (wireless local area networks, WLAN) (e.g., wireless fidelity (WIRELESS FIDELITY, wi-Fi) network), bluetooth (BT), global navigation satellite system (global navigation SATELLITE SYSTEM, GNSS), frequency modulation (frequency modulation, FM), near field communication (NEAR FIELD communication, NFC), infrared (IR), etc., applied to the electronic device 100. The wireless communication module 160 may be one or more devices that integrate at least one communication processing module. The wireless communication module 160 receives electromagnetic waves via the antenna 2, modulates the electromagnetic wave signals, filters the 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, frequency modulate it, amplify it, and convert it to electromagnetic waves for radiation via the antenna 2.

In one embodiment, the electronic device 100 may be a mobile phone, and the mobile phone may communicate with the watch and the earphone through bluetooth, a wireless lan, etc. respectively, for example, the mobile phone may acquire heart far-end pulse wave data acquired by the watch and heart near-end pulse wave data acquired by the earphone, and process the acquired pulse wave data to obtain a pulse arrival time difference, so as to obtain a central blood pressure.

In one embodiment, the electronic device 100 may be a wristwatch, and the wristwatch may communicate with the headset via bluetooth, a wireless lan, or the like, for example, may send time to the headset, obtain heart proximal pulse wave data collected by the headset, obtain timestamp information of pulse wave data generated by the headset, and the like, and process the pulse wave data collected by the wristwatch and the pulse wave data collected by the headset to obtain a pulse arrival time difference, thereby obtaining the central blood pressure.

In one embodiment, the electronic device 100 may be a headset, which may communicate with the watch through bluetooth, a wireless lan, or the like, for example, may be in time alignment with the watch, send proximal heart pulse wave data collected by the headset to the watch, send timestamp information of generated pulse wave data to the watch, or the like, so that the watch processes the pulse wave data collected by the watch and the pulse wave data collected by the headset to obtain a pulse arrival time difference, and further obtain the central blood pressure.

In some embodiments, antenna 1 and mobile communication module 150 of electronic device 100 are coupled, and antenna 2 and wireless communication module 160 are coupled, such that electronic device 100 may communicate with a network and other devices through wireless communication techniques. The wireless communication techniques can include the Global System for Mobile communications (global system for mobile communications, GSM), general packet radio service (GENERAL PACKET radio service, GPRS), code division multiple access (code division multiple access, CDMA), wideband code division multiple access (wideband code division multiple access, WCDMA), time division code division multiple access (time-division code division multiple access, TD-SCDMA), long term evolution (long term evolution, LTE), BT, GNSS, WLAN, NFC, FM, and/or IR techniques, among others. The GNSS may include a global satellite positioning system (global positioning system, GPS), a global navigation satellite system (global navigation SATELLITE SYSTEM, GLONASS), a beidou satellite navigation system (beidou navigation SATELLITE SYSTEM, BDS), a quasi zenith satellite system (quasi-zenith SATELLITE SYSTEM, QZSS) and/or a satellite based augmentation system (SATELLITE BASED AUGMENTATION SYSTEMS, SBAS).

The electronic device 100 implements display functions 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 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 change display information.

The display screen 194 is used to display images, videos, and the like. The display 194 includes a display panel. The display panel may employ a Liquid Crystal Display (LCD) CRYSTAL DISPLAY, an organic light-emitting diode (OLED), an active-matrix organic LIGHT EMITTING diode (AMOLED), a flexible light-emitting diode (FLED), miniled, microLed, micro-oLed, a quantum dot LIGHT EMITTING diode (QLED), or the like. In some embodiments, the electronic device 100 may include 1 or N display screens 194, N being a positive integer greater than 1.

The electronic device 100 may implement photographing functions through an ISP, a camera 193, a video codec, a GPU, a display screen 194, an application processor, and the like.

In one embodiment, the electronic device may display the acquired pulse arrival time differences via the display 194.

In one embodiment, the electronic device may display the acquired central blood pressure via the display screen 194.

The ISP is used to process data fed back by the camera 193. The camera 193 is used to capture still images or video. The object generates an optical image through the lens and projects the optical image onto the photosensitive element.

Video codecs are used to compress or decompress digital video. The electronic device 100 may support one or more video codecs. In this way, the electronic device 100 may play or record video in a variety of encoding formats, such as: dynamic picture experts group (moving picture experts group, MPEG) 1, MPEG2, MPEG3, MPEG4, etc.

The external memory interface 120 may be used to connect an external memory card, such as a Micro SD card, to enable expansion of the memory capabilities of the electronic device 100. The external memory card communicates with the processor 110 through an external memory interface 120 to implement data storage functions. For example, files such as music, video, etc. are stored in an external memory card.

The internal memory 121 may be used to store computer executable program code including instructions. The internal memory 121 may include a storage program area and a storage data area. The storage program area may store an application program (such as a sound playing function, an image playing function, etc.) required for at least one function of the operating system, etc. The storage data area may store data created during use of the electronic device 100 (e.g., audio data, phonebook, etc.), and so on. 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 (universal flash storage, UFS), and the like. The processor 110 performs 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 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 playing, recording, etc.

The pressure sensor is used for sensing a pressure signal and can convert the pressure signal into an electric signal. In some embodiments, the pressure sensor may be provided on the display screen 194. Pressure sensors are of many kinds, such as resistive pressure sensors, inductive pressure sensors, capacitive pressure sensors, etc. When a touch operation is applied to the display screen 194, the electronic apparatus 100 detects the intensity of the touch operation according to the pressure sensor. The electronic device 100 may also calculate the location of the touch based on the detection signal of the pressure sensor.

The gyroscopic sensor may be used to determine a motion pose of the electronic device 100. The air pressure sensor is used for measuring air pressure. In some embodiments, the electronic device 100 calculates altitude from barometric pressure values measured by barometric pressure sensors, aiding in positioning and navigation. The magnetic sensor includes a hall sensor. The acceleration sensor may detect the magnitude of acceleration of the electronic device 100 in various directions (typically three axes). And a distance sensor for measuring the distance. The electronic device 100 may measure the distance by infrared or laser. In some embodiments, the electronic device 100 may range using a distance sensor to achieve quick focus. The proximity light sensor may include, for example, a Light Emitting Diode (LED) and a light detector, such as a photodiode. The ambient light sensor is used for sensing ambient light brightness. The fingerprint sensor is used for collecting fingerprints. The electronic device 100 may utilize the collected fingerprint feature to unlock the fingerprint, access the application lock, photograph the fingerprint, answer the incoming call, etc. The temperature sensor is used for detecting temperature.

In one embodiment, the electronic device 100 may be a wristwatch, which may reflect whether the object is in motion through data sensed by an internal acceleration sensor.

Touch sensors, also known as "touch devices". The touch sensor may be disposed on the display screen 194, and the touch sensor and the display screen 194 form a touch screen, which is also referred to as a "touch screen". The touch sensor is used to detect a touch operation acting on or near it. The touch sensor may communicate the detected touch operation to the application processor to determine the touch event type. Visual output related to touch operations may be provided through the display 194. In other embodiments, the touch sensor may also be disposed on a surface of the electronic device 100 at a different location than the display 194.

The keys 190 include a power-on key, a volume key, etc. The keys 190 may be mechanical keys or touch keys. The motor 191 may generate a vibration cue. The motor 191 may be used for incoming call vibration alerting as well as for touch vibration feedback. The indicator 192 may be an indicator light, may be used to indicate a state of charge, a change in charge, a message indicating a missed call, a notification, etc.

In one embodiment, the electronic device 100 may be a headset or a wristwatch, and the tested object may start collecting pulse wave data by triggering a function key included in the key 190 for starting measuring the central blood pressure.

The SIM card interface 195 is used to connect a SIM card. The electronic device 100 may support 1 or N SIM card interfaces, N being a positive integer greater than 1.

The software system of the electronic device 100 may employ a layered architecture, an event driven architecture, a microkernel architecture, a microservice architecture, or a cloud architecture.

Central blood pressure can currently be measured based on thermal dilution. However, compared with the upper wrist blood pressure which can be easily and noninvasively measured, the thermal dilution method has the problems of being invasive, inconvenient and the like because a catheter is required to be inserted near the heart for measuring the central blood pressure.

Referring to fig. 2, in one embodiment of the present application, a feasible implementation manner for noninvasively and conveniently measuring central blood pressure is provided, and specifically, central blood pressure can be obtained according to heart far-end pulse wave data collected by a watch and heart near-end pulse wave data collected by an earphone. Wherein, the blood pumped by the heart can flow to not only the brain but also the limbs. Blood flowing to the brain may flow through the behind-the-ear region (earphone sampling region) via the carotid artery and blood flowing to the extremities may flow through the wrist region (watch sampling region) via the brachial artery.

Headphones and watches are wearable devices commonly used by users. The wearing position of the earphone may relate to an auricular artery region, and the wearing position of the wristwatch may relate to a wrist artery region (or wrist artery region). The sampling region has a relativity with respect to the distance of the heart, and compared with the wrist artery region, since the distance of the pumped blood of the heart to the auricular artery region is generally shorter and the time required for the transfer is shorter, in the case of simultaneously sampling pulse wave data at the auricular artery region and the wrist artery region, the auricular artery region can be used as a proximal heart pulse sampling region, and the wrist artery region can be used as a distal heart pulse sampling region.

In other possible embodiments of the present application, the proximal pulse sampling region of the heart may be a carotid artery region, the distal pulse sampling region of the heart may be a wrist artery region, or the proximal pulse sampling region of the heart may be an auricular artery region, and the distal pulse sampling region of the heart may be a dorsum manus artery region.

As shown in fig. 2, in the case where the user wears the earphone and the wristwatch at the same time, the heart proximal pulse wave data at the auricular artery region may be acquired by the earphone, and the heart distal pulse wave data at the wrist artery region may be acquired by the wristwatch.

In one embodiment, referring to fig. 3, a pulse wave waveform diagram of pulse wave data collected by the earphone may be shown in a waveform of the earphone in fig. 3, and a pulse wave waveform diagram of pulse wave data collected by the watch may be shown in a waveform of the watch in fig. 3. The pulse wave data collected by the earphone and the watch comprise a plurality of pulse wave data so as to carry out waveform matching of the two pulse wave data according to the pulse wave data, and further obtain pulse arrival time difference (delta PTT) according to the waveform matching result.

Among these, the physiological concept of pulse transit time (Pulsetransittime, PTT) is the time of pulse transit between two arteries, which is the time of pulse from one place to another. The pulse arrival time difference (Δptt) may represent the difference between the time of the pulse from the heart to the wrist artery region and the time from the heart to the ear artery region.

In one embodiment, the pulse wave data collected by the earphone and the watch may be PPG (photoplethysmography) data.

In one embodiment, for the acquired pulse wave data, waveform characteristic information (such as waveform characteristic information denoted as a first type) of a single pulse wave in the pulse wave data for realizing pulse waveform matching may be acquired. For example, waveform characteristic information (or referred to as beat-to-beat waveform characteristic information) of each pulse wave in the pulse wave data may be acquired separately.

In one embodiment, waveform characteristic information used to achieve beat waveform matching may include some or all of the cardiac cycle (h_t), rise time (AT), arterial index (LASI), rise area (a).

Fig. 4 and 5 are diagrams of the acquisition method of waveform characteristic information for realizing pulse waveform matching of a single pulse wave.

Referring to fig. 2, for pulse wave data acquired by the wristwatch 201, a cardiac cycle h_t1, a rise time at_1, an arterial index 1/LASI _1, and a rise area a_1 of a single pulse wave represented by the pulse wave data can be acquired. For the pulse wave data acquired by the earphone 202, a cardiac cycle h_t2, a rising time at_2, an arterial index 1/LASI _2 and a rising area a_2 of a single pulse wave presented by the pulse wave data can be acquired. The identifier "1" is used for identifying the pulse wave data acquired according to the watch 201, and the identifier "2" is used for identifying the pulse wave data acquired according to the earphone 202 so as to distinguish different data sources.

The waveform characteristics may reflect differences between different pulse wave waveforms. For example, the pulse wave waveform sampled by the earphone when the blood pumped by the heart at any time is transferred to the auricular artery region (i.e., the pulse wave waveform obtained according to the pulse wave data collected by the earphone) may have the same or similar waveform characteristics as the pulse wave waveform sampled by the watch when the blood pumped by the heart at that time is transferred to the wrist artery region, and the pulse wave waveform sampled by the watch when the blood pumped by the heart at other times is transferred to the wrist artery region may have different or relatively dissimilar waveform characteristics. Therefore, the pulse wave data collected by the earphone and the watch can be subjected to waveform matching according to different waveform characteristics.

Referring to fig. 3, by performing waveform matching according to waveform characteristics, it can be determined that the waveform characteristics of the pulse wave shown by reference numeral 302 in the earphone waveform are matched with the waveform characteristics of the pulse wave shown by reference numeral 301 in the watch waveform, and it can be considered that the pulse wave shown by reference numeral 302 and the pulse wave shown by reference numeral 301 are pulse wave waveforms sampled by the earphone and sampled by the watch when blood pumped by the heart at the same time is transferred to the auricular artery region and the wrist artery region respectively.

In one possible implementation, since the pulse wave shown by reference numeral 302 and the waveform characteristics of the pulse wave shown by reference numeral 301 are matched, the time difference between the two pulse waves can be regarded as the pulse arrival time difference.

Similarly, by waveform matching, it may be further determined that the waveform characteristics of the pulse wave up/down (or up/down n) of the pulse wave shown by reference numeral 302 match the waveform characteristics of the pulse wave up/down (or up/down n) of the pulse wave shown by reference numeral 301, so that in another possible implementation, the time difference between the two up/down (or up/down n) pulse waves may also be used as the pulse arrival time difference.

In yet another embodiment, the average/median of the time difference between the two pulse waves, which is partially or completely matched, may also be calculated as the pulse arrival time difference.

In one embodiment of the present application, please refer to fig. 2, the obtained waveform characteristic information for realizing pulse waveform matching may be input into a machine learning model, and the pulse arrival time difference output by the machine learning model may be obtained.

For example, the machine learning model may be obtained by training a model sample according to the model sample, the sample data of any model sample may include waveform characteristic information of pulse wave data at a far end of the heart and waveform characteristic information of pulse wave data at a near end of the heart, the sample label may be a waveform matching result of the two pulse wave data, and a pulse arrival time difference corresponding to the sample data may be obtained according to the waveform matching result.

Referring to fig. 3, the pulse arrival time difference can be obtained according to the time stamps of the two pulse waves with matched characteristics. Illustratively, as shown in fig. 3, the pulse arrival time difference may be obtained by taking the peak time stamps of the two pulse waves of which the features match. Therefore, the accuracy of the time stamp is required to be ensured so as to accurately acquire the pulse arrival time difference.

To ensure accuracy of the time stamps, it may be defined that the wristwatch 201 and the earphone 202 remain time aligned during the pulse wave data acquisition.

In a possible implementation, please refer to fig. 2 and 3, the watch 201 may be used as a master node, the earphone 202 may be used as a slave node, and the watch 201 may time the earphone 202 so that the two keep time aligned.

Illustratively, as shown in fig. 3, watch 201 may time earpiece 202 via a precision time protocol (Precision Time Protocol, PTP). The PTP protocol used may be IEEE1588 protocol, and the wristwatch 201 may send time synchronization information conforming to IEEE1588 protocol to the earpiece 202, so as to achieve the purpose of time service to the earpiece 202. With the benefit of Gao Shoushi accuracy, based on waveform matching and accurate time stamping, accurate pulse arrival time differences can be obtained.

In addition to timing according to PTP protocol, timing may be performed in other manners, for example, in a possible implementation manner, timing may be performed to the watch 201 and the earphone 202 respectively through a beidou satellite. The watch and the earphone are time-shared by the Beidou satellite, and the purpose of high-precision time-shared can be achieved.

After the pulse arrival time difference is acquired, the central blood pressure may be acquired based on the pulse arrival time difference and waveform characteristic information (e.g., denoted as a second type of waveform characteristic information) of the heart proximal pulse wave data for measuring the central blood pressure, that is, related to the central blood pressure, affected by the central blood pressure.

Unlike the proximal arterial region of the heart (e.g., the auricular arterial region), blood experiences more resistance in flowing to the distal arterial region of the heart (e.g., the wrist arterial region), which may result in a corresponding change in pulse wave waveform, which may result in a pulse waveform change at the proximal arterial region of the heart that is closer to the waveform change at the heart. As shown in fig. 3, the PPG waveform change measured by the earphone may be closer to the waveform change at the heart than the PPG waveform change measured by the watch.

Thus, compared with the blood pressure waveform at the far-end artery (such as the wrist artery), the blood pressure waveform at the auricular artery region measured by the earphone can be regarded as the blood pressure waveform close to the left ventricle output, and accordingly, the measurement of the central blood pressure can have higher research value, so that the accurate measurement of the central blood pressure can be realized, and the waveform characteristic information of the heart near-end pulse wave data measured by the earphone can be used for acquiring the central blood pressure.

In one embodiment, referring to fig. 2, waveform characteristic information of heart proximal Pulse wave data for measuring central blood pressure may be obtained via proximal waveform Pulse wave analysis (PWA, pulse WAVE ANALYSIS).

In one embodiment, the waveform characteristic information for measuring the central blood pressure may include some or all of rising branch maximum slope (As), pulse wave amplitude ratio (PIR), diastolic area (S4), peak-to-valley amplitude Ratio (RIPV), rising area (a). These waveform features are waveform features that can characterize the central blood pressure, which can enable accurate measurement of the central blood pressure based on the proximal pulse waveform of the heart.

Fig. 5 and 6 show a manner of acquiring waveform characteristic information of a single pulse wave for measuring central blood pressure. Where pir_2=p_2/s_2; ripv_2=p_2/e_2. The identifier "2" is used to identify the pulse wave data acquired from the earphone 202.

Referring to fig. 2, the pulse wave data at the proximal end of the heart is the pulse wave data collected by the earphone 202, and the waveform characteristic information such As the rising branch maximum slope as_2, the pulse wave amplitude ratio pir_2, the diastolic area s4_2, the peak-to-valley amplitude ratio ripv_2, and the rising area a_2 of the pulse wave data can be obtained accordingly. By combining the waveform characteristic information and the pulse arrival time difference, the central blood pressure can be obtained. The central blood pressure may include a central systolic pressure (C_SBP) and a central diastolic pressure (C_DBP).

In one embodiment of the present application, the obtained waveform characteristic information for measuring the central blood pressure and the pulse arrival time difference may be input into a machine learning model, and the central blood pressure output by the machine learning model may be obtained.

For example, the machine learning model may be obtained by training from model samples, the sample data of any model sample may include waveform characteristic information of a proximal heart pulse wave data, and include a pulse arrival time difference obtained from the proximal heart pulse wave data and a distal heart pulse wave data, and the sample label may be a central blood pressure.

In one embodiment of the present application, referring to fig. 2 and 3, the implementation process for measuring central blood pressure for a user may include the following steps:

Step 1, the step of preprocessing PPG data and data is collected in cooperation with the earphone 202 and the wristwatch 201.

Step 1.1, the user keeps standing posture during measurement and naturally hangs down the arms. As shown in fig. 2, the user wears an earphone 202 and a wristwatch 201 at the time of measurement.

In order to avoid the influence of the change of the posture of the user on the blood transmission, thereby influencing the accurate measurement of the pulse arrival time difference and further influencing the accurate measurement of the central blood pressure, the posture of the user during measurement can be required.

For example, the user may be required to maintain a standing posture and naturally hanging up arms (as shown in fig. 2) at the time of measurement, or to maintain a lying posture and naturally placing arms at the time of measurement, or to maintain an sitting posture at the time of measurement. If the user meets the posture requirement, the pulse wave data acquired in the current state can be considered to be used for accurately measuring the central blood pressure. Otherwise, for example, if the arm of the user does not naturally hang down and has a large degree of bending, the pulse wave data collected in the current state may not be considered to be used for measuring the central blood pressure or is unfavorable for accurately measuring the central blood pressure.

In one possible implementation manner, considering that there may be a difference in the pulse wave data measured in different postures, the pulse wave data collected in the corresponding postures may be processed based on the data processing manner corresponding to each posture, so as to ensure that the measured central blood pressure is kept consistent. For example, data acquired at different poses may be input into respective machine learning models, respectively. The machine learning models corresponding to different postures can be obtained through training according to the sampling data under the postures.

Step 1.2, starting a blood pressure detection function.

After the blood pressure detection function is started, the central blood pressure may be measured once, or the central blood pressure may be measured continuously, or the central blood pressure may also be measured according to a set measurement rule (for example, measurement is suspended for m hours after every n hours).

In one embodiment, the user may activate the blood pressure detection function by triggering a function key for activating blood pressure detection. The function keys may be dedicated mechanical keys provided on the wristwatch 201, and may be corresponding function controls displayed on a display of the wristwatch 201, for example.

In another embodiment, the earphone 202 and the watch 201 may also automatically activate the blood pressure detection function when the measurement start time is reached based on the set measurement rule.

Step 1.3, the earphone 202 and the watch 201 align time based on PTP protocol, and start PPG data acquisition and acceleration (Acc) data acquisition, and determine whether sampling is successful according to the acquired acceleration data.

The purpose of time alignment of the earphone 202 and the watch 201 can be achieved by means of PTP timing between devices, and the time stamp between devices can be calibrated based on high timing accuracy to support accurate measurement of pulse arrival time difference.

In order to avoid the influence of the movement of the user on the blood transmission, thereby influencing the accurate measurement of the pulse arrival time difference and further influencing the accurate measurement of the central blood pressure, the state of the user during measurement can be required. For example, the user may be required to be substantially stationary during the measurement.

It is possible that the change in the user state may be reflected by a change in the acceleration data. If the acceleration data changes, the user can be considered to be in a moving state at this time rather than a stationary state. If the acceleration data does not change, the user can be considered to be in a stationary state at this time.

In one embodiment, if it is detected that the number of times the user is in a motion state within a set period of time (for example, 1 minute) exceeds the set number of times, it may be determined that the state of the user when measured is not satisfactory, and the PPG data needs to be collected again. Otherwise, if the number of times of the setting is not exceeded, it can be determined that the state of the user during measurement meets the requirement, and the central blood pressure can be obtained based on the PPG data collected in the set time period.

In a possible implementation, the acceleration data may be collected only by the watch 201, and whether the user is in a motion state may be detected according to the acceleration data collected by the watch 201 in real time.

In another possible implementation, the acceleration data may be collected only by the earphone 202, and whether the user is in a motion state may be detected according to the acceleration data collected by the earphone 202 in real time.

In still another possible implementation, the earphone 202 and the watch 201 may collect acceleration data respectively, and then the acceleration data collected by the earphone 202 and the watch 201 may be comprehensively considered to detect whether the user is in a motion state.

Considering that there may be different starting moments of the earphone 202 and the wristwatch 201 to collect PPG data after the start of the blood pressure detection function, the earphone 202 and the wristwatch 201 may collect PPG data at different time starting points and continuously collect the same set time period (for example, 60 seconds).

The value of the set duration may be set as desired, if applicable. The sampling device should be able to acquire a sufficient number of individual pulse waves within the set time period to support measurement of pulse wave arrival time differences.

In one embodiment, the user state may be periodically calculated (e.g., once every 1 second) according to the acceleration data acquired in real time, and if the number of times the user is detected to be in the motion state exceeds the set number of times (e.g., 20 times) during the PPG data acquisition period, it may be determined that the sampling is failed, so as to measure the central blood pressure without using the PPG data acquired during the period.

Optionally, the subject may be prompted for a failed sampling after the failed sampling and return to the initial state of data acquisition to restart PPG data acquisition and acceleration data acquisition.

In one possible implementation, whether sampling fails or not can be judged in real time, and if so, data acquisition can be restarted.

In another possible implementation manner, after the data acquisition is finished (for example, the earphone 202 and the watch 201 complete PPG data acquisition with set duration), whether sampling fails or not may be judged, and if yes, the data acquisition is restarted.

Step 1.4, if the sampling is determined to be successful, performing data preprocessing on PPG data collected by the earphone 202 and the watch 201 respectively.

If the sampling is judged to be successful, the PPG data acquired in the current period can be considered to be acquired under the condition that the subject meets the posture requirement and the state requirement, and can be used for accurately measuring the central blood pressure, the signal acquisition flow in the current period is ended, and the PPG data acquired in the current period can be subjected to data preprocessing so as to measure the central blood pressure according to the preprocessed PPG data.

In one possible implementation, the data may be subjected to Butterworth band-pass filtering and other data preprocessing means to perform data preprocessing.

Step 2, extracting pulse arrival time difference.

Step 2.1, the time stamp of the PPG data collected by the earphone 202 and the time stamp of the PPG data collected by the watch 201 are aligned with each other, and the peak detection of the PPG data is performed to obtain the peak-to-valley index of the PPG data.

In one embodiment, a portion of the PPG data with time stamps aligned may be as shown in fig. 3. As shown in fig. 3, there is a difference in the starting times of the acquisition of PPG data by the earphone 202 and the wristwatch 201 (it is generally inconvenient to control both to be consistent), and the wristwatch 201 is slightly delayed in comparison with the PPG data acquisition starting time of the earphone 202. Through the time stamp alignment process, even if the earphone 202 and the wristwatch 201 start collecting PPG data at different time starts, respectively, the difference of the time starts will not affect accurate measurement of the accurate measurement pulse arrival time difference. In this way, there is no need to strictly require that the earphone and the wristwatch maintain an absolutely consistent data acquisition start time.

In one embodiment, the time-stamp aligned PPG data may be subjected to peak detection to obtain a peak-to-valley index of the PPG data, where each peak position and each trough position in the PPG data may be included in the peak-to-valley index.

Step 2.2, extracting waveform characteristic information of the PPG data according to the peak-to-valley index of the PPG data: cardiac cycle (h_t), rise time (AT), arterial index (LASI), rise area (a).

Taking the example of extracting cardiac cycles, in one possible implementation, the cardiac cycle of each individual pulse wave in the PPG data may be extracted separately (i.e., a beat-to-beat cardiac cycle is extracted).

For example, the watch PPG data and the earphone PPG data may be waveform-matched according to the beat-to-beat waveform characteristic information in the watch PPG data and the beat-to-beat waveform characteristic information in the earphone PPG data, so as to determine a PPG pulse corresponding to each beat, and further determine a pulse arrival time difference according to the obtained pulse.

Step 2.3, inputting the waveform characteristic information of the PPG data collected by the watch 201 and the waveform characteristic information of the PPG data collected by the earphone 202 extracted in step 2.2 into a machine learning model, and obtaining the pulse arrival time difference output by the machine learning model.

And (3) inputting the two paths of features extracted in the step (2.2) into a machine learning model for measuring the pulse arrival time difference, so that the accurate pulse arrival time difference can be obtained.

In one possible implementation, the machine learning model may perform waveform matching on two paths of PPG data based on the two paths of features, and extract a phase difference between the near-end waveform and the far-end waveform based on a waveform matching result, so as to obtain a pulse arrival time difference.

And 3, predicting central blood pressure.

Step 3.1, performing waveform analysis on PPG data collected by the earphone 202, and extracting waveform characteristic information of the PPG data: maximum slope of rising branch (As), pulse wave amplitude ratio (PIR), diastolic area (S4), peak-to-valley amplitude Ratio (RIPV), rising area (A).

Step 3.2, inputting the pulse arrival time difference and waveform characteristic information of the PPG data collected by the earphone 202 extracted in step 3.1 into a machine learning model, and obtaining a central blood pressure output by the machine learning model: central systolic and diastolic pressures.

The accurate central blood pressure can be obtained by inputting the pulse arrival time difference and the waveform characteristics of the heart near-end pulse wave data extracted in the step 3.1 into a machine learning model for measuring the central blood pressure.

The implementation manner for measuring central blood pressure provided by any embodiment of the present application may be at least applicable to the following application scenarios:

scene 1: daily blood pressure measurements (e.g., single measurement, continuous measurement).

In one embodiment, if the user activates the central blood pressure detection function while the user wears the earphone and the wristwatch at the same time, the wristwatch and the earphone may sample pulse wave data only for a single period, thereby achieving the purpose of measuring central blood pressure for a single time.

In one embodiment, if the user starts the central blood pressure detection function while the user wears the earphone and the watch, the watch and the earphone can continuously sample pulse wave data of each period, so that the purpose of continuously measuring central blood pressure can be achieved.

In one embodiment, if the user starts the central blood pressure detection function while the user wears the earphone and the watch, the watch and the earphone can sample pulse wave data at intervals for a plurality of periods according to a set measurement rule, so that the purpose of measuring central blood pressure at intervals can be achieved.

In one embodiment, during the period that the user wears the earphone and the watch at the same time, the state of the user can be monitored (for example, the state of the user can be monitored through an acceleration sensor in the watch), if the user is monitored to basically keep the static state in the current time period, the watch and the earphone can automatically start to sample pulse wave data in one period, and accordingly the purpose of continuously measuring the central blood pressure at different times can be achieved.

Scene 2: and measuring blood pressure at night.

In addition to the blood pressure measurement performed by the user with the user kept in a standing posture and the arms naturally hanging down, the blood pressure measurement performed by the user with the user kept in a lying posture and the arms naturally placed can be applied to a daytime blood pressure measurement scenario, the blood pressure measurement performed by the user with the user kept in a lying posture and the arms naturally placed can be applied to a nighttime blood pressure measurement scenario.

Compared with the cuff-type sphygmomanometer which affects the sleeping of a user, the blood pressure measurement implementation mode provided by the embodiment of the application has smaller effect on the sleeping of the user and supports the measurement of central blood pressure for the user during the night rest period of the user.

Scene 3: and (5) screening the hypertension of the public group.

The earphone and the watch are wearable devices commonly used by users, and based on the blood pressure measurement implementation manner provided by the embodiment of the application, continuous or intermittent (such as measurement every 10 minutes) dynamic measurement of central blood pressure of the users can be realized during normal use of the earphone and the watch by the users, so that the effect of screening the implicit hypertension can be realized.

Scene 4: arytenoid/non arytenoid blood pressure tracking.

A blood pressure of the bowl type may generally be expressed as a mean nocturnal blood pressure of a normal person lower than a mean diurnal blood pressure, such as 10% -20% lower, whereas a blood pressure of the bowl type may generally be expressed as a mean nocturnal blood pressure of a person not lower than a mean diurnal blood pressure of 10% lower. For example, the nocturnal blood pressure of a hypertensive population is typically higher than the daytime blood pressure.

The blood pressure measuring method provided by the embodiment of the application can realize the purposes of continuous measurement of daytime blood pressure and nighttime blood pressure, and can distinguish the arytenoid/non arytenoid blood pressure based on the measurement result of continuous measurement, thereby providing assistance for blood pressure management of hypertensive people. For example, people with hypertension that can help non-arytenoid blood pressure are more focused on controlling nocturnal blood pressure, and people with hypertension that help arytenoid blood pressure are more focused on controlling daytime blood pressure.

As shown in fig. 7, an embodiment of the present application provides a pulse arrival time difference obtaining method, which may include the following steps 701 to 702:

step 701, acquiring first pulse wave data acquired at a distal heart pulse sampling region of a subject, and acquiring second pulse wave data acquired at a proximal heart pulse sampling region of the subject.

Step 702, acquiring a pulse arrival time difference of the measured object according to the waveform characteristic information of the first type of the first pulse wave data and the waveform characteristic information of the first type of the second pulse wave data.

The measured pulse arrival time difference can be used as a parameter for measuring the central blood pressure, so as to be applied to the application scene of central blood pressure measurement. The embodiment shown in fig. 7 provides a pulse arrival time difference acquisition method or acquisition method called central blood pressure measurement parameter.

In one embodiment, the central blood pressure may be measured in combination with waveform characteristic information of the proximal pulse wave data of the heart for measuring the central blood pressure. The method of obtaining such central blood pressure measurement parameters may further comprise the step of obtaining such waveform characteristic information.

In one embodiment, the waveform characteristic information for measuring the central blood pressure of the acquired pulse arrival time difference and the heart proximal pulse wave data may be input to a machine learning model for measuring the central blood pressure. The machine learning model can output the central blood pressure after inputting the two central blood pressure measurement parameters.

The pulse arrival time difference acquisition method provided in the embodiment shown in fig. 7 can accurately measure the pulse arrival time difference of the measured object by acquiring the heart far-end pulse wave data and the heart near-end pulse wave data of the measured object, and the measured pulse arrival time difference can be used for acquiring the central blood pressure of the measured object, so that data support is provided for noninvasively measuring the central blood pressure.

In addition to the central blood pressure being measured from pulse arrival time differences (Δptt), other application scenarios may exist. For example, in one possible implementation, the arteriosclerosis index may be obtained (e.g., calculated) based on the pulse arrival time difference. In another possible implementation, the brachial artery blood pressure may also be obtained according to the pulse arrival time difference.

As shown in fig. 8, one embodiment of the present application provides a central blood pressure acquisition method, which may include the following steps 801 to 803:

Step 801, acquiring first pulse wave data acquired at a distal heart pulse sampling region of a subject, and acquiring second pulse wave data acquired at a proximal heart pulse sampling region of the subject.

In one embodiment, the object to be measured may be a human body.

In one embodiment, before step 801, the method may further include: pulse wave data is acquired at a pulse sampling region distal to the heart, and pulse wave data is acquired at a pulse sampling region proximal to the heart.

In one embodiment of the application, the distal pulse sampling region of the heart is the wrist artery region and the proximal pulse sampling region of the heart is the ear artery region. The heart proximal pulse wave data may be collected by a headset worn by the user and the heart distal pulse wave data may be collected by a watch worn by the user. The central blood pressure of the user can be measured under the condition that the user wears the earphone and the watch normally, and the measuring mode is noninvasive and convenient.

The execution body for acquiring the central blood pressure can be a device for acquiring the pulse wave data at the far end or the near end of the heart, or can be a terminal device which is in communication connection with the pulse wave data acquisition device, such as a mobile phone of a user.

In one embodiment, during the acquisition of the pulse wave data, status information (such as acceleration) of the measured object may also be acquired to detect whether the measured object is in a motion state. If the frequency of detecting that the detected object is in the motion state in the current sampling period does not exceed the frequency threshold, namely the detected object basically keeps the static state in the current sampling period, two paths of pulse wave data acquired in the current sampling period can be respectively used as first pulse wave data and second pulse wave data. The first pulse wave data and the second pulse wave data can be defined to be the pulse wave data acquired under the condition that the measured object meets the motion state requirement, and the pulse wave data acquired under the condition that the measured object does not meet the motion state requirement is not used for measuring the central blood pressure so as to ensure accurate measurement of the central blood pressure.

Thus, in one embodiment of the present application, the first pulse wave data and the second pulse wave data are obtained under a first condition, the first condition comprising: the state of the tested object in the data acquisition period corresponding to the first pulse wave data and the second pulse wave data accords with the set movement state requirement. Illustratively, the motion state requirements include: the number of times of detecting that the detected object is in a motion state in one period does not exceed the set number of times.

In one embodiment of the present application, the central blood pressure acquisition method further includes: collecting state data (such as acceleration data) of the measured object based on the first time interval; detecting whether the detected object is in a motion state according to the state data; under the condition that the frequency of detecting that the detected object is in a motion state in the current period does not exceed the set frequency, the first pulse wave data are the pulse wave data acquired at the pulse sampling area at the far end of the heart in the current period, and the second pulse wave data are the pulse wave data acquired at the pulse sampling area at the near end of the heart in the current period.

In one embodiment of the present application, the first pulse wave data and the second pulse wave data are obtained under a first condition, the first condition comprising: the device for acquiring the first pulse wave data and the device for acquiring the second pulse wave data are kept time aligned during the pulse wave data acquisition.

In one embodiment, inter-device time alignment may be maintained based on PTP timing. Benefit from Gao Shoushi accuracy, helping to accurately measure pulse arrival time differences.

Step 802, acquiring a pulse arrival time difference of the measured object according to the waveform characteristic information of the first type of the first pulse wave data and the waveform characteristic information of the first type of the second pulse wave data.

In one embodiment, step 801 and step 802 may further include a step of acquiring waveform characteristic information of the first type of the two paths of pulse wave data, respectively.

In one embodiment of the present application, the step of acquiring waveform characteristic information of the pulse wave data may include: and carrying out peak detection on the pulse wave data to obtain peak-to-valley indexes of the pulse wave data, and further obtaining waveform characteristic information of the pulse wave data according to the peak-to-valley indexes of the pulse wave data. Wherein the waveform characteristic information of the first type and the waveform characteristic information of the second type of the pulse wave data can be acquired respectively.

In one embodiment of the application, the first type of waveform characteristic information comprises: at least one of a rise time, an arterial index, a rise area, and a cardiac cycle of a single pulse wave in the pulse wave data. Through experiments, the waveform characteristics based on the pulse wave data can realize accurate waveform matching of the far-end pulse wave data and the near-end pulse wave data, so that accurate measurement of pulse arrival time difference can be realized.

In one embodiment, the waveform matching can be performed on the two paths of pulse wave data according to the waveform characteristic information of the first type of the two paths of pulse wave data to obtain a waveform matching result, so that the pulse arrival time difference of the tested object can be obtained according to the waveform matching result.

In one embodiment, the first type of waveform characteristic information of the two paths of pulse wave data may be input into a machine learning model for measuring the pulse arrival time difference, and the pulse arrival time difference output by the machine learning model may be obtained as the pulse arrival time difference of the measured object.

In one possible implementation, the machine learning model may perform waveform matching according to the input information and output a pulse arrival time difference based on the waveform matching result.

In one embodiment of the present application, the central blood pressure acquisition method further includes: according to the time stamp information of the first pulse wave data and the time stamp information of the second pulse wave data, performing time stamp alignment of the first pulse wave data and the second pulse wave data; and executing the step of acquiring the pulse arrival time difference of the tested object according to the first pulse wave data and the second pulse wave data with the time stamps aligned.

The method can be used for acquiring the phase difference of waveforms corresponding to the two paths of pulse wave data based on the two paths of pulse wave data with aligned time stamps and combining the waveform matching results to serve as the pulse arrival time difference of the tested object. The influence of incomplete consistency of acquisition starting moments of different pulse wave acquisition devices on accurate measurement of pulse arrival time difference can be avoided through time stamp alignment processing.

Step 803, obtaining the central blood pressure of the measured object according to the pulse arrival time difference and the waveform characteristic information of the second type of the second pulse wave data.

In one embodiment of the present application, prior to step 803, a step of acquiring a second type of waveform characteristic information of the proximal heart pulse wave data may be further included.

In one embodiment of the application, the second type of waveform characteristic information comprises: at least one of a rising branch maximum slope, a pulse wave amplitude ratio, a diastolic area, a peak-to-valley amplitude ratio and a rising area of a single pulse wave in the pulse wave data. Through experiments, based on the pulse arrival time difference and the waveform characteristics of the pulse wave data at the near end of the heart, accurate measurement of the central blood pressure can be realized.

The central blood pressure obtaining method provided in the embodiment shown in fig. 8 can accurately measure the pulse arrival time difference of the measured object by collecting the far-end pulse wave data and the near-end pulse wave data of the heart of the measured object, and further can accurately measure the central blood pressure of the measured object based on the pulse arrival time difference and the near-end pulse wave data.

Compared with the conventional blood pressure obtained by measuring the brachial artery region, the central blood pressure can have application scenes which are not generally possessed by conventional blood pressure such as blood pressure high and low evaluation, and can also have application scenes which are not generally possessed by conventional blood pressure such as evaluation of cardiac problems such as arteriosclerosis and coronary heart disease, evaluation of cardiovascular and cerebrovascular aspects such as stroke and myocardial infarction, and the like.

In one embodiment, in the continuous measurement scenario of the central blood pressure, information for reflecting the central blood pressure change (such as the change trend) may also be generated according to the continuously measured central blood pressure. The information may be, for example, a wave pattern, or may be text describing the wave situation, etc. The central blood pressure measurement subject may output the information after generating the information, such as to a display screen for viewing the information.

The embodiment of the application provides a first electronic device, which comprises one or more memories for storing computer program instructions and one or more processors, wherein when the computer program instructions are executed by the one or more processors, the first electronic device is triggered to execute the following first method steps: collecting first pulse wave data at a heart far-end pulse sampling area of a measured object; acquiring second pulse wave data acquired by a second electronic device at a heart proximal pulse sampling area of a measured object; and acquiring the pulse arrival time difference of the tested object.

The embodiment of the application provides a first electronic device, which comprises one or more memories for storing computer program instructions and one or more processors, wherein when the computer program instructions are executed by the one or more processors, the first electronic device is triggered to execute the following first method steps: collecting first pulse wave data at a heart far-end pulse sampling area of a measured object; acquiring second pulse wave data acquired by a second electronic device at a heart proximal pulse sampling area of a measured object; acquiring pulse arrival time difference of a measured object; and acquiring the central blood pressure of the tested object according to the pulse arrival time difference and the waveform characteristic information of the second type of the second pulse wave data.

In one embodiment, the first electronic device may be a wearable device.

In one embodiment, the first electronic device may be a wristwatch for acquiring pulse wave data from the distal end of the heart, and the second electronic device may be a headset for acquiring pulse wave data from the proximal end of the heart. Based on the hardware structural features of the earphone and the watch, if the watch has the data processing capability of measuring the central blood pressure, the watch can acquire pulse wave data acquired by the earphone and combine the pulse wave data acquired by the watch to measure the central blood pressure.

In one embodiment of the application, the first method step further comprises: during pulse wave data acquisition, by timing to the second electronic device, to remain in time alignment with the second electronic device.

The first electronic device for performing central blood pressure measurement can be used as a master device, and the second electronic device can be used as a slave device, and time is given to the slave device by the master device.

In one embodiment of the application, the first method step further comprises: generating time stamp information of the first pulse wave data; receiving time stamp information of second pulse wave data sent by second electronic equipment; according to the time stamp information of the first pulse wave data and the time stamp information of the second pulse wave data, performing time stamp alignment of the first pulse wave data and the second pulse wave data; and executing the step of acquiring the pulse arrival time difference of the tested object according to the first pulse wave data and the second pulse wave data with the time stamps aligned.

The first electronic device for central blood pressure measurement can be used as a master device, the second electronic device can be used as a slave device, the master device can acquire the time stamp information of the pulse wave data acquired by the slave device, and then the time stamp information of the pulse wave data acquired by the master device is combined, so that the alignment processing of the two paths of pulse wave data is performed, and the accurate measurement of the pulse arrival time difference is realized based on the accurate time stamp alignment result.

In one embodiment of the application, the first method step further comprises: collecting state data of a measured object based on a first time interval; detecting whether the detected object is in a motion state according to the state data; under the condition that the frequency of detecting that the detected object is in a motion state in the current period does not exceed the set frequency, the first pulse wave data are pulse wave data acquired by the first electronic device at the heart far-end pulse sampling area in the current period, and the second pulse wave data are pulse wave data acquired by the second electronic device at the heart near-end pulse sampling area in the current period.

The first electronic device for measuring the central blood pressure can be used as a master device, the second electronic device can be used as a slave device, and the motion state of the measured object is judged based on the acceleration sensed by the acceleration sensor in the master device in real time so as to support the measurement of the central blood pressure by using the pulse wave data of the measured object in the basically static state, and the accurate measurement of the central blood pressure is ensured.

The embodiment of the application provides a second electronic device comprising one or more memories for storing computer program instructions, and one or more processors, wherein the computer program instructions, when executed by the one or more processors, trigger the second electronic device to perform the following second method steps: collecting second pulse wave data at a heart proximal pulse sampling area of a measured object; and sending the second pulse wave data to first electronic equipment, wherein the first electronic equipment is used for acquiring the first pulse wave data at a heart far-end pulse sampling area of the tested object.

In one embodiment, the second electronic device may be a wearable device.

In one embodiment, the first electronic device may be a wristwatch for acquiring pulse wave data from the distal end of the heart, and the second electronic device may be a headset for acquiring pulse wave data from the proximal end of the heart. Based on the hardware structural features of the earphone and the watch, if the watch has the data processing capability of measuring the central blood pressure, the earphone can send the acquired pulse wave data to the mobile phone, and the mobile phone can measure the central blood pressure according to the pulse wave data acquired by the earphone and the pulse wave data acquired by the mobile phone.

The first electronic device can be used as a master device, the second electronic device can be used as a slave device, pulse wave data are collected by the slave device and then sent to the master device, and the master device can measure the central blood pressure according to the pulse wave data.

In one embodiment of the application, the second method step further comprises: in response to operation of the first electronic device to time the second electronic device during the pulse wave data acquisition to maintain time alignment with the first electronic device.

In one embodiment of the application, the second method step further comprises: generating time stamp information of the second pulse wave data; and sending the time stamp information of the second pulse wave data to the first electronic device.

An embodiment of the present application provides a storage medium in which a computer program is stored which, when run on a first electronic device, causes the first electronic device to perform the first method steps provided in any of the embodiments described above.

An embodiment of the present application provides a storage medium in which a computer program is stored which, when run on a second electronic device, causes the second electronic device to perform the second method steps provided in any of the embodiments described above.

The implementation and the beneficial effects of the different embodiments of the application can be mutually referred.

The embodiment of the application also provides an electronic chip, the task processing chip is arranged in electronic equipment (UE), and the electronic chip comprises: a processor for executing computer program instructions stored on a memory, wherein the computer program instructions, when executed by the processor, trigger the electronic chip to perform the first method step or the second method step provided by any of the method embodiments of the present application.

The embodiment of the application also provides a terminal device, which comprises a communication module, a memory for storing computer program instructions and a processor for executing the program instructions, wherein when the computer program instructions are executed by the processor, the terminal device is triggered to execute the method steps (such as the step of analyzing and processing pulse wave data acquired by the wearable device to obtain central blood pressure) which can be executed by the terminal device and are provided by any method embodiment of the application.

The embodiment of the application also provides a server device, which comprises a communication module, a memory for storing computer program instructions and a processor for executing the program instructions, wherein when the computer program instructions are executed by the processor, the server device is triggered to execute the method steps (such as a step of analyzing and processing pulse wave data acquired by a wearable device to obtain central blood pressure) which can be executed by the server device and are provided by any of the method embodiments of the application.

The embodiment of the application also provides an electronic device, which comprises a plurality of antennas, a memory for storing computer program instructions, a processor for executing the computer program instructions, and a communication device (such as a communication module capable of realizing 5G communication based on NR protocol), wherein when the computer program instructions are executed by the processor, the electronic device is triggered to execute the method steps (such as a step of analyzing pulse wave data acquired by a wearable device to obtain central blood pressure) which can be executed by the electronic device and are provided by any of the method embodiments of the application.

Specifically, in an embodiment of the present application, one or more computer programs are stored in the memory, where the one or more computer programs include instructions, which when executed by the first electronic device, cause the first electronic device to perform the first method steps described in the embodiment of the present application.

Specifically, in an embodiment of the present application, one or more computer programs are stored in the memory, where the one or more computer programs include instructions, which when executed by the second electronic device, cause the second electronic device to perform the second method steps described in the embodiment of the present application.

Further, the devices, apparatuses, modules illustrated in the embodiments of the present application may be implemented by a computer chip or entity, or by a product having a certain function.

It will be apparent to those skilled in the art that embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied therein.

In several embodiments provided by the present application, any of the functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application.

In particular, the embodiment of the present application further provides a storage medium, where a computer program is stored, when the storage medium runs on a computer, to make the computer execute the method steps provided in the embodiment of the present application.

The present application also provides a computer program product comprising a computer program which, when run on a computer, causes the computer to perform the method steps provided by the embodiments of the present application.

In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the elements is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices, or units, which may be in electrical, mechanical, or other forms.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.

The integrated units, implemented in the form of software functional units, may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a Processor (Processor) to perform part of the steps of the methods according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk or an optical disk.

In embodiments of the present application, 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, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.

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

Those of ordinary skill in the art will appreciate that the various elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as a combination of electronic hardware, computer software, and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

It will be apparent to those skilled in the art that the same and similar parts of the various embodiments of the present application are provided with reference to each other for convenience and brevity of description. For example, specific working processes of the system, the device and the unit described in the embodiments of the present application may refer to corresponding processes in the embodiments of the method of the present application, which are not described herein.

The foregoing description is only illustrative of the present application and is not to be construed as limiting the application, which is defined by the appended claims.

Claims

1. A pulse arrival time difference acquisition method, characterized by comprising:

Acquiring first pulse wave data acquired at a heart far-end pulse sampling area of a measured object, and acquiring second pulse wave data acquired at a heart near-end pulse sampling area of the measured object;

and acquiring the pulse arrival time difference of the tested object according to the waveform characteristic information of the first type of the first pulse wave data and the waveform characteristic information of the first type of the second pulse wave data.

2. A central blood pressure acquisition method, comprising:

Acquiring a pulse arrival time difference of the tested object according to the waveform characteristic information of the first type of the first pulse wave data and the waveform characteristic information of the first type of the second pulse wave data;

and acquiring the central blood pressure of the tested object according to the pulse arrival time difference and the waveform characteristic information of the second type of the second pulse wave data.

3. The method of claim 2, wherein the first type of waveform characteristic information comprises: at least one of a rise time, an arterial index, a rise area, and a cardiac cycle of a single pulse wave in the pulse wave data.

4. The method of claim 2, wherein the second type of waveform characteristic information comprises: at least one of a rising branch maximum slope, a pulse wave amplitude ratio, a diastolic area, a peak-to-valley amplitude ratio and a rising area of a single pulse wave in the pulse wave data.

5. The method according to any one of claims 2-4, wherein the first pulse wave data and the second pulse wave data are obtained under a first condition, the first condition comprising: the means for acquiring the first pulse wave data and the means for acquiring the second pulse wave data remain time aligned during the acquisition of the pulse wave data.

6. The method according to any one of claims 2-4, further comprising:

According to the time stamp information of the first pulse wave data and the time stamp information of the second pulse wave data, performing time stamp alignment of the first pulse wave data and the second pulse wave data;

And executing the step of acquiring the pulse arrival time difference of the tested object according to the first pulse wave data and the second pulse wave data with the time stamps aligned.

7. The method according to any one of claims 2-4, further comprising:

Collecting state data of the tested object based on a first time interval;

Detecting whether the detected object is in a motion state according to the state data;

Under the condition that the frequency of detecting that the detected object is in a motion state in the current period does not exceed the set frequency, the first pulse wave data are the pulse wave data acquired in the heart far-end pulse sampling area in the current period, and the second pulse wave data are the pulse wave data acquired in the heart near-end pulse sampling area in the current period.

8. The method of any one of claims 2-4, wherein the distal heart pulse sampling region is a wrist artery region and the proximal heart pulse sampling region is an ear artery region.

9. A first electronic device comprising one or more memories for storing computer program instructions, and one or more processors, wherein the computer program instructions, when executed by the one or more processors, trigger the first electronic device to perform the following first method steps:

collecting first pulse wave data at a heart far-end pulse sampling area of a measured object;

acquiring second pulse wave data acquired by a second electronic device at a heart proximal pulse sampling area of the tested object;

10. The first electronic device of claim 9, wherein the first method step further comprises:

during pulse wave data acquisition, by timing the second electronic device to remain time aligned with the second electronic device.

11. The first electronic device of claim 9, wherein the first method step further comprises:

Generating time stamp information of the first pulse wave data;

Receiving time stamp information of the second pulse wave data sent by the second electronic equipment;

12. The first electronic device according to any of claims 9-11, characterized in that the first method step further comprises:

Collecting state data of the tested object based on a first time interval;

Under the condition that the frequency of detecting that the detected object is in a motion state in the current period does not exceed the set frequency, the first pulse wave data are pulse wave data acquired by the first electronic device at the heart far-end pulse sampling area in the current period, and the second pulse wave data are pulse wave data acquired by the second electronic device at the heart near-end pulse sampling area in the current period.

13. A second electronic device comprising one or more memories for storing computer program instructions, and one or more processors, wherein the computer program instructions, when executed by the one or more processors, trigger the second electronic device to perform the following second method steps:

Collecting second pulse wave data at a heart proximal pulse sampling area of a measured object;

and sending the second pulse wave data to first electronic equipment, wherein the first electronic equipment is used for acquiring first pulse wave data at a heart far-end pulse sampling area of the tested object.

14. The second electronic device of claim 13, wherein the second method step further comprises:

And responding to the operation of the first electronic device for timing the second electronic device during pulse wave data acquisition so as to be aligned with the first electronic device in time.

15. The second electronic device according to claim 13 or 14, characterized in that the second method step further comprises:

generating timestamp information of the second pulse wave data;

And sending the time stamp information of the second pulse wave data to the first electronic equipment.

16. A storage medium having stored therein a computer program which, when run on a first electronic device, causes the first electronic device to perform the following first method steps:

17. A storage medium having stored therein a computer program which, when run on a second electronic device, causes the second electronic device to perform the following second method steps: