CN117678988A

CN117678988A - Blood pressure measuring method and electronic equipment

Info

Publication number: CN117678988A
Application number: CN202311110225.8A
Authority: CN
Inventors: 毛维高
Original assignee: Honor Device Co Ltd
Current assignee: Honor Device Co Ltd
Priority date: 2023-08-30
Filing date: 2023-08-30
Publication date: 2024-03-12

Abstract

The application discloses a blood pressure measurement method and electronic equipment, wherein the method comprises the following steps: acquiring a first pressure signal on a radial artery of a target object and a second pressure signal on an ulnar artery of the target object; determining a waveform phase difference between the first pressure signal and the second pressure signal, a cardiac cycle corresponding to the first pressure signal, a first difference between a systolic amplitude of the first pressure signal and a systolic amplitude of the second pressure signal, and a second difference between a diastolic amplitude of the first pressure signal and a diastolic amplitude of the second pressure signal; determining a pulse time difference between the radial artery and the ulnar artery based on the waveform phase difference, the cardiac cycle, the first difference value, and the second difference value; the diastolic pressure of the target subject and the systolic pressure of the target subject are determined based on the waveform of the first pressure signal, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal, and the difference in length between the radial artery and the ulnar artery. By the method and the device, the accuracy of blood pressure measurement can be improved.

Description

Blood pressure measuring method and electronic equipment

Technical Field

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

Background

Blood pressure is an important physiological parameter reflecting the state of the cardiovascular system of the human body, and blood pressure monitoring is an indispensable part of the management of personal health. At present, the incidence rate of hypertension in people is continuously increased, complications such as heart disease, stroke and the like are often caused, and the health of a human body is seriously threatened, so that the early screening and daily monitoring of the hypertension are very important. Common blood pressure measurement methods can be divided into two types, namely, cuff-type and sleeveless-type. The cuff type blood pressure measurement needs to be carried out through inflation and deflation of the cuff, only a snapshot of dynamic blood pressure can be provided, continuous change of day and night blood pressure cannot be provided, and wearing comfort is poor. Therefore, it is important to develop a cuff-free blood pressure measurement method suitable for continuous blood pressure monitoring.

For the cuff-free blood pressure measurement method, a photoelectric method (photoplethysmography (photo plethysmography, PPG)), a photoelectric-electrocardiography (PPG-Electrocardiogram (ECG)), or the like can be used. The PPG transmits a photoelectric signal to the skin, and the sensor collects pulse waves of the wrist part to determine blood pressure data; the PPG-ECG is based on emitting photoelectric signals, and is additionally provided with a guide sheet for collecting electrocardiosignals, and blood pressure data is comprehensively determined through the collected two signals. However, due to the accuracy of the sensor and the defects of the processing circuit, signal distortion, information loss and the like occur, so that the accuracy of blood pressure measurement is reduced.

Disclosure of Invention

The application provides a blood pressure measurement method and electronic equipment, which can improve the accuracy of blood pressure measurement.

In a first aspect, the present application provides a blood pressure measurement method comprising: acquiring a first pressure signal on a radial artery of a target object and a second pressure signal on an ulnar artery of the target object; determining a waveform phase difference between the first pressure signal and the second pressure signal, a cardiac cycle corresponding to the first pressure signal, a first difference between a systolic amplitude of the first pressure signal and a systolic amplitude of the second pressure signal, and a second difference between a diastolic amplitude of the first pressure signal and a diastolic amplitude of the second pressure signal; determining a pulse time difference between the radial artery and the ulnar artery based on the waveform phase difference, the cardiac cycle, the first difference value, and the second difference value; the diastolic pressure of the target subject and the systolic pressure of the target subject are determined based on the waveform of the first pressure signal, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal, and the difference in length between the radial artery and the ulnar artery.

Based on the method described in the first aspect, after the second electronic device obtains the first pressure signal on the radial artery of the target object and the second pressure signal on the ulnar artery of the target object, the first pressure signal and the second pressure signal are analyzed, and four parameters are determined, namely, a waveform phase difference between the first pressure signal and the second pressure signal, a cardiac cycle corresponding to the first pressure signal, a first difference value between a contraction amplitude of the first pressure signal and a contraction amplitude of the second pressure signal, and a second difference value between a relaxation amplitude of the first pressure signal and a relaxation amplitude of the second pressure signal; the pulse time difference between the radial artery and the ulna artery is determined through the four parameters, so that the calibration of the waveform phase difference is realized; and finally, determining the diastolic pressure of the target object and the systolic pressure of the target object by utilizing the characteristic information in the waveform of the first pressure signal, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal and the length difference between the radial artery and the ulnar artery. Because the pulse time difference between the radial artery and the ulnar artery is calibrated, the parameters (namely, the characteristic information in the waveform of the first pressure signal, the contraction amplitude of the first pressure signal, the relaxation amplitude of the first pressure signal and the length difference between the radial artery and the ulnar artery) affecting the blood pressure are utilized to build a model together with the pulse time difference, and the parameters are further optimized, so that the accuracy of blood pressure measurement is improved.

In one possible implementation, determining a pulse time difference between the radial artery and the ulnar artery based on the waveform phase difference, the cardiac cycle, the first difference value, and the second difference value includes: invoking a first model to process the waveform phase difference, the cardiac cycle, the first difference value and the second difference value to obtain a pulse time difference between the radial artery and the ulnar artery; the first model is trained based on a first training sample and a corresponding pulse time difference label. Based on this approach, the accuracy of the pulse time difference between the radial artery and the ulnar artery can be improved.

In one possible implementation, determining the diastolic pressure of the target subject and the systolic pressure of the target subject based on the waveform of the first pressure signal, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal, and the length difference between the radial artery and the ulnar artery comprises: determining first information based on a waveform of the first pressure signal, the first information including a peak amplitude to trough amplitude ratio, a pulse wave amplitude ratio, an area surrounded by a dicrotic wave peak to end point curve, an arteriosclerosis index; a diastolic pressure of the target subject and a systolic pressure of the target subject are determined based on the first information, the pulse time difference, a systolic amplitude of the first pressure signal, a diastolic amplitude of the first pressure signal, and a length difference between the radial artery and the ulnar artery. Based on this, the accuracy of blood pressure measurement can be improved.

In one possible implementation, determining the diastolic pressure of the target subject and the systolic pressure of the target subject based on the first information, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal, and the length difference between the radial artery and the ulnar artery comprises: invoking a second model to process the first information, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal and the length difference between the radial artery and the ulnar artery to obtain the diastolic pressure of the target object; the second model is obtained based on a second training sample and corresponding diastolic blood pressure label training; invoking a third model to process the first information, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal and the length difference between the radial artery and the ulnar artery to obtain the systolic pressure of the target object; the third model is trained based on the second training sample and a corresponding shrink label. Based on this, the accuracy of blood pressure measurement can be further improved.

In one possible implementation, acquiring a first pressure signal on a radial artery of a target subject and a second pressure signal on an ulnar artery of the target subject includes: acquiring a first original pressure signal on the radial artery of a target object, a second original pressure signal on the ulnar artery of the target object and acceleration information of the target object in a preset time; determining the state of the target object based on the acceleration information; determining a first time when the target object is in a motion state; if the first time is smaller than or equal to a first preset threshold value, aligning and splicing the first original pressure signal and the second original pressure signal according to the time stamp to obtain a third pressure signal; a first pressure signal on the radial artery of the target object and a second pressure signal on the ulnar artery of the target object are determined based on the third pressure signal. Based on the mode, the target object can be ensured to be in a relatively static state, and the accuracy of blood pressure measurement is improved.

In one possible implementation, acquiring a first pressure signal on a radial artery of a target subject and a second pressure signal on an ulnar artery of the target subject includes: a first pressure signal on a radial artery of a target object and a second pressure signal on an ulnar artery of the target object are received from a second electronic device. Based on the mode, a plurality of devices assist in processing, and the efficiency of data processing can be improved.

In one possible implementation, determining a first pressure signal on the radial artery of the target object and a second pressure signal on the ulnar artery of the target object based on the third pressure signal includes: filtering the third pressure signal to obtain a fourth pressure signal; and performing blind source separation on the fourth pressure signal to obtain a first pressure signal on the radial artery of the target object and a second pressure signal on the ulnar artery of the target object. Based on this way, disturbances in the first pressure signal and the second pressure signal can be reduced, improving the accuracy of the first pressure signal and the first pressure signal.

In one possible implementation, determining the state in which the target object is located based on the acceleration information includes: when the acceleration in the acceleration information is smaller than or equal to a second preset threshold value, determining that the target object is in a static state; and when the acceleration in the acceleration information is larger than the second preset threshold value, determining that the target object is in a motion state. Based on this approach, the accuracy of determining the state of the target object can be improved.

In a second aspect, the present application provides a blood pressure measurement device, which may be an electronic device, a device in an electronic device, or a device that can be used in a matching manner with an electronic device; the blood pressure measuring device may also be a system-on-a-chip, the blood pressure measuring device being capable of performing the method performed by the electronic device of the first aspect. The function of the blood pressure measuring device can be realized by hardware, and can also be realized by executing corresponding software by hardware. The hardware or software includes one or more units corresponding to the functions described above. The unit may be software and/or hardware. The operations and advantages performed by the blood pressure measuring device may be referred to the methods and advantages described in the first aspect, and the repetition is not repeated.

In a third aspect, the present application provides an electronic device comprising one or more processors and one or more memories. The one or more memories are coupled to the one or more processors, the one or more memories being configured to store computer program code comprising computer instructions that, when executed by the one or more processors, cause the blood pressure measurement device to perform the blood pressure measurement method in any of the possible implementations of the first aspect described above.

In a fourth aspect, the present application provides a blood pressure measurement device comprising a function or unit for performing the method according to any of the first aspects.

In a fifth aspect, the present application provides a computer readable storage medium having stored therein a computer program comprising program instructions which, when run on an electronic device, cause the electronic device to perform the blood pressure measurement method in any one of the possible implementations of the first aspect described above.

In a sixth aspect, the present application provides a computer program product for, when run on a computer, causing the computer to perform the blood pressure measurement method in any one of the possible implementations of the first aspect.

Drawings

FIG. 1 is a schematic illustration of a radial artery and ulnar artery provided in an embodiment of the application;

fig. 2 is a schematic hardware structure of a first electronic device according to an embodiment of the present application;

fig. 3 is a software structural block diagram of a first electronic device according to an embodiment of the present application;

fig. 4 is a schematic hardware structure of a second electronic device according to an embodiment of the present application;

FIG. 5 is a schematic diagram of the physical structure of a first sensor module and a second sensor module according to an embodiment of the present disclosure;

fig. 6A is a schematic diagram of a smart watch according to an embodiment of the present application;

FIG. 6B is a schematic diagram of measuring pressure signals of the radial artery and the ulnar artery when a user wears the smart watch according to an embodiment of the present application;

FIG. 6C is a cross-sectional view of a smart watch according to an embodiment of the present application detecting pressure signals from the radial and ulnar arteries;

fig. 7 is a schematic flow chart of a blood pressure measurement method according to an embodiment of the present application;

fig. 8A is a schematic diagram of a blood pressure detection APP installed on a smart watch according to an embodiment of the present application;

FIG. 8B is a schematic diagram of a blood pressure detection interface provided by an embodiment of the present application;

FIG. 8C is a schematic diagram of a blood pressure measurement interface provided by an embodiment of the present application;

FIG. 8D is a schematic diagram of another blood pressure detection interface provided by an embodiment of the present application;

FIG. 8E is a schematic diagram of another blood pressure detection interface provided by an embodiment of the present application;

FIG. 8F is a schematic diagram of another blood pressure detection interface provided by an embodiment of the present application;

FIG. 9 is a schematic diagram of a first raw pressure signal, a second raw pressure signal, and a third pressure signal according to an embodiment of the present application;

FIG. 10A is a schematic diagram of a waveform phase difference between a first pressure signal and a second pressure signal according to an embodiment of the present disclosure;

FIG. 10B is a schematic diagram of a cardiac cycle corresponding to a first pressure signal provided in an embodiment of the present application;

FIG. 10C is a schematic diagram of a first difference between the magnitude of contraction of a first pressure signal and the magnitude of contraction of a second pressure signal provided in an embodiment of the present application;

FIG. 10D is a schematic diagram of a second difference between the diastolic amplitude of the first pressure signal and the diastolic amplitude of the second pressure signal provided by embodiments of the present application;

FIG. 11A is a schematic diagram of a peak amplitude to valley amplitude ratio provided by an embodiment of the present application;

FIG. 11B is a schematic diagram of a pulse wave amplitude ratio provided in an embodiment of the present application;

FIG. 11C is a schematic illustration of an area encompassed by a peak-to-end curve of a dicrotic wave provided in an embodiment of the present application;

FIG. 11D is a graphical representation of an arteriosclerosis index provided in an embodiment of the present application;

FIG. 11E is a flowchart of another blood pressure measurement method according to an embodiment of the present disclosure;

FIG. 12 is a flow chart of another blood pressure measurement method according to an embodiment of the present application;

Fig. 13A is a schematic diagram of a health APP installed on a mobile phone according to an embodiment of the present application;

FIG. 13B is a schematic diagram of a health data interface provided by an embodiment of the present application;

FIG. 13C is a schematic diagram of a blood pressure data interface provided by an embodiment of the present application;

fig. 14 is a schematic structural view of a blood pressure measurement device according to an embodiment of the present application;

fig. 15 is a schematic structural diagram of a chip according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and thoroughly described below with reference to the accompanying drawings. Wherein, in the description of the embodiments of the present application, "/" means or is meant unless otherwise indicated, for example, a/B may represent a or B; the text "and/or" is merely an association relation describing the associated object, and indicates that three relations may exist, for example, a and/or B may indicate: the three cases where a exists alone, a and B exist together, and B exists alone, and in addition, in the description of the embodiments of the present application, "plural" means two or more than two.

The terms "first," "second," and the like, are used below for descriptive purposes only and are not to be construed as implying or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature, and in the description of embodiments of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.

The term "User Interface (UI)" in the following embodiments of the present application is a media interface for interaction and information exchange between an application program or an operating system and a user, which enables conversion between an internal form of information and an acceptable form of the user. The user interface is a source code written in a specific computer language such as java, extensible markup language (extensible markup language, XML) and the like, and the interface source code is analyzed and rendered on the electronic equipment to finally be presented as content which can be identified by a user. A commonly used presentation form of the user interface is a graphical user interface (graphic user interface, GUI), which refers to a user interface related to computer operations that is displayed in a graphical manner. It may be a time, date, text, icon, button, menu, tab, text box, dialog box, status bar, navigation bar, widget, etc. visual interface element displayed in the display of the electronic device.

In order to facilitate understanding of the solutions provided by the embodiments of the present application, the following description describes related concepts related to the embodiments of the present application:

1. radial artery

As shown in fig. 1, the radial artery is one of the terminal branches of the brachial artery, slightly smaller than the ulnar artery. After the brachial artery is emitted, the pulse is firstly located between the brachial radial muscle and the circumflex muscle, then descends between the brachial radial muscle tendon and the radial flexor tendon, and can reach the pulse at the superficial position, which is the most commonly used pulse point in clinic.

2. Ulnar artery

As shown in fig. 1, the radial artery is one of the terminal branches of the brachial artery, slightly larger than the radial artery. After being sent out by the brachial artery, the medicine descends along the radial side of the ulnar flexor, passes through the radial side of the pisiform, goes deep into the palm through the carpal-palmar ligament, and the tail end of the medicine coincides with the superficial branch of the radial artery to form a palmar shallow arch.

3. Blood pressure

Blood pressure refers to the lateral pressure of blood acting on a unit area of the wall of a blood vessel as it flows within the blood vessel, and is measured as arterial blood pressure, typically of the systemic circulation, including systolic and diastolic blood pressure. Wherein systolic pressure is the pressure in the artery when the heart is beating; diastolic pressure is the pressure in the artery measured when the heart has a rest between beats. For each heartbeat, the blood pressure varies between systolic and diastolic pressures. Systolic pressure is the peak pressure in the artery that occurs near the end of the cardiac cycle when the heart chamber contracts. Diastolic pressure is the minimum pressure in the artery that occurs near the beginning of the cardiac cycle when the heart chamber is full of blood. By cardiac cycle is meant the process that the cardiovascular system undergoes from the start of one heartbeat to the start of the next heartbeat.

Blood pressure is an important physiological parameter reflecting the state of the cardiovascular system of the human body, and blood pressure monitoring is an indispensable part of the management of personal health. At present, the incidence rate of hypertension in people is continuously increased, complications such as heart disease, stroke and the like are often caused, and the health of a human body is seriously threatened, so that the early screening and daily monitoring of the hypertension are very important. Common blood pressure measurement methods can be divided into two types, namely, cuff-type and sleeveless-type. The cuff type blood pressure measurement needs to be carried out through inflation and deflation of the cuff, only a snapshot of dynamic blood pressure can be provided, continuous change of day and night blood pressure cannot be provided, and wearing comfort is poor. The cuff-free blood pressure measurement can measure blood pressure in real time, continuous blood pressure monitoring can be ensured, and the cuff-free blood pressure measurement is more convenient for patients. Therefore, it is important to develop a cuff-free blood pressure measurement method suitable for continuous blood pressure monitoring.

For the cuff-free blood pressure measurement method, there are commonly used a photoelectric method (photoplethysmography (photo plethysmography, PPG)), a photo-electro-cardiogram (ECG), and the like. The PPG transmits a photoelectric signal to the skin, and the sensor collects pulse waves of the wrist part to determine blood pressure data; the PPG-ECG is based on emitting photoelectric signals to skin, and is additionally provided with a guide sheet for collecting electrocardiosignals, and the blood pressure data is comprehensively determined through the collected two signals (namely pulse waves and electrocardiosignals of the wrist part). In addition, the cuff-free blood pressure measurement technology can be embedded into wearable equipment, smart phones and other equipment, and the data of blood pressure can be estimated through signal processing and algorithms. However, due to the accuracy of the sensor and the defects of the processing circuit, signal distortion, information loss and the like still occur, so that the accuracy of blood pressure measurement is reduced.

In order to improve the accuracy of blood pressure measurement, the application provides a blood pressure measurement method and electronic equipment. In a specific implementation, the electronic device may include a first electronic device 100 and a second electronic device 200. The above-mentioned blood pressure measurement method may be performed by the first electronic device 100 and the second electronic device 200 together, or may be performed by the second electronic device 200, which is not limited herein. The electronic device may be configured with a display screen and may be provided with a preset Application (APP), through which a user may perform blood pressure measurement on the user (e.g., blood pressure detection APP). The first electronic device 100 and the second electronic device 200 are described below.

(1) First electronic device 100

The first electronic device 100 may be a mobile phone, a tablet computer, a notebook computer, a desktop computer, a wireless terminal in a smart home, etc., but is not limited thereto. The hardware configuration of the first electronic device 100 is described below. Referring to fig. 2, fig. 2 is a schematic hardware structure of a first electronic device 100 according to an embodiment of the present application.

The first 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 180A, a gyro sensor 180B, an air pressure sensor 180C, a magnetic sensor 180D, an acceleration sensor 180E, a distance sensor 180F, a proximity sensor 180G, a fingerprint sensor 180H, a temperature sensor 180J, a touch sensor 180K, an ambient light sensor 180L, a bone conduction sensor 180M, and the like.

It should be understood that the structure illustrated in the embodiment of the present invention does not constitute a specific limitation on the first electronic device 100. In other embodiments of the present application, the first 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 memory, a video codec, a digital signal processor (digital signal processor, DSP), a baseband processor, and/or a neural network processor (neural-network processing unit, NPU), etc. Wherein the different processing units may be separate devices or may be integrated in one or more processors.

The controller may be a neural hub and a command center of the first electronic device 100. 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.

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. The processor 110 invokes instructions or data stored in the memory to cause the first electronic device 100 to perform the blood pressure measurement method performed by the electronic device in the method embodiment described below.

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 charge management module 140 is configured to receive a charge input from a charger. The charger can be a wireless charger or a wired charger.

The power management module 141 is used for connecting the battery 142, and the charge management module 140 and the processor 110. The power management module 141 receives input from the battery 142 and/or the charge management module 140 to power the processor 110, the internal memory 121, the external memory, the display 194, the camera 193, the wireless communication module 160, etc. in other embodiments, the power management module 141 may be disposed in the processor 110.

The wireless communication function of the first 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 first 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 on the first 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 wireless communication module 160 may provide solutions for wireless communication including wireless local area network (wireless local area networks, WLAN) (e.g., wi-Fi network), bluetooth (BT), BLE broadcast, global navigation satellite system (global navigation satellite system, GNSS), frequency modulation (frequency modulation, FM), near field wireless communication technology (near field communication, NFC), infrared technology (IR), etc. applied on the first 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 some embodiments, antenna 1 and mobile communication module 150 of first electronic device 100 are coupled, and antenna 2 and wireless communication module 160 are coupled, such that first electronic device 100 may communicate with a network and other devices through wireless communication techniques.

The first 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. In some embodiments, the first electronic device 100 may include 1 or N display screens 194, N being a positive integer greater than 1.

The first electronic device 100 may implement a photographing function through an ISP, a camera 193, a video codec, a GPU, a display screen 194, an application processor, and the like. 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 digital signal processor is used for processing digital signals, and can process other digital signals besides digital image signals. Video codecs are used to compress or decompress digital video. The first electronic device 100 may support one or more video codecs.

The NPU is a neural-network (NN) computing processor, and can rapidly process input information by referencing a biological neural network structure, for example, referencing a transmission mode between human brain neurons, and can also continuously perform self-learning.

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 first electronic device 100. The external memory card communicates with the processor 110 through an external memory interface 120 to implement data storage functions.

The internal memory 121 may be used to store computer executable program code including instructions. The processor 110 executes various functional applications of the first electronic device 100 and data processing by executing instructions stored in the internal memory 121. 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) required for at least one function of the operating system, and the like. The storage data area may store data created during use of the first electronic device 100 (such as audio data), and the like. In addition, the internal memory 121 may include a high-speed random access memory, and may also include a nonvolatile memory such as a flash memory device or the like.

The first 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 audio module 170 is used to convert digital audio information into an analog audio signal output and also to convert an analog audio input into a digital audio signal. The audio module 170 may also be used to encode and decode audio signals. In some embodiments, the audio module 170 may be disposed in the processor 110, or a portion of the functional modules of the audio module 170 may be disposed in the processor 110.

The speaker 170A, also referred to as a "horn," is used to convert audio electrical signals into sound signals. A receiver 170B, also referred to as a "earpiece", is used to convert the audio electrical signal into a sound signal. Microphone 170C, also referred to as a "microphone," is used to convert sound signals into electrical signals, such as an error microphone, etc. The earphone interface 170D is used to connect a wired earphone. The pressure sensor 180A is used to sense a pressure signal, and may convert the pressure signal into an electrical signal. In some embodiments, the pressure sensor 180A may be disposed on the display screen 194. The gyro sensor 180B may be used to determine a motion gesture of the first electronic device 100. The air pressure sensor 180C is used to measure air pressure. The magnetic sensor 180D includes a hall sensor. The acceleration sensor 180E may detect the magnitude of acceleration of the first electronic device 100 in various directions (typically three axes). A distance sensor 180F for measuring a distance. The proximity light sensor 180G may include, for example, a Light Emitting Diode (LED) and a light detector. The ambient light sensor 180L is used to sense ambient light level. The fingerprint sensor 180H is used to collect a fingerprint. The temperature sensor 180J is for detecting temperature. The touch sensor 180K, also referred to as a "touch panel". The touch sensor 180K may be disposed on the display screen 194, and the touch sensor 180K and the display screen 194 form a touch screen, which is also called a "touch screen". The touch sensor 180K is for detecting a touch operation acting thereon or thereabout. The bone conduction sensor 180M may acquire a vibration signal. The keys 190 include a power-on key, a volume key, etc. The motor 191 may generate a vibration cue. 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. The SIM card interface 195 is used to connect a SIM card.

The software system of the first electronic device 100 may employ a layered architecture, an event driven architecture, a micro-core architecture, a micro-service architecture, or a cloud architecture. In the embodiment of the present invention, taking an Android system with a layered architecture as an example, a software structure of the first electronic device 100 is illustrated. Fig. 3 is a software structural block diagram of the first electronic device 100 according to the embodiment of the present application. The layered architecture divides the software into several layers, each with distinct roles and branches. The layers communicate with each other through a software interface. In some embodiments, the Android system is divided into four layers, from top to bottom, an application layer, an application framework layer, an Zhuoyun row (Android run) and system libraries, and a kernel layer, respectively.

The application layer may include a series of application packages. As shown in fig. 3, the application layer may include camera, gallery, calendar, phone call, map, navigation, WLAN, bluetooth, music, video, short message, etc. applications.

The application framework layer provides an application programming interface (application programming interface, API) and programming framework for application programs of the application layer. The application framework layer includes a number of predefined functions. As shown in FIG. 3, the application framework layer may include a window manager, a content provider, a view system, a telephony manager, a resource manager, a notification manager, and the like.

The window manager is used for managing window programs. The window manager can acquire the size of the display screen, judge whether a status bar exists, lock the screen, intercept the screen and the like.

The content provider is used to store and retrieve data and make such data accessible to applications. The data may include video, images, audio, calls made and received, browsing history and bookmarks, phonebooks, etc.

The view system includes visual controls, such as controls to display text, controls to display pictures, and the like. The view system may be used to build applications. The display interface may be composed of one or more views. For example, a display interface including a text message notification icon may include a view displaying text and a view displaying a picture.

The telephony manager is for providing communication functions of the first electronic device 100. Such as the management of call status (including on, hung-up, etc.).

The resource manager provides various resources for the application program, such as localization strings, icons, pictures, layout files, video files, and the like.

The notification manager allows the application to display notification information in a status bar, can be used to communicate notification type messages, can automatically disappear after a short dwell, and does not require user interaction. Such as notification manager is used to inform that the download is complete, message alerts, etc. The notification manager may also be a notification in the form of a chart or scroll bar text that appears on the system top status bar, such as a notification of a background running application, or a notification that appears on the screen in the form of a dialog window. For example, a text message is prompted in a status bar, a prompt tone is emitted, the electronic device vibrates, and an indicator light blinks, etc.

Android runtimes include core libraries and virtual machines. Android run time is responsible for scheduling and management of the Android system.

The core library consists of two parts: one part is a function which needs to be called by java language, and the other part is a core library of android.

The application layer and the application framework layer run in a virtual machine. The virtual machine executes java files of the application program layer and the application program framework layer as binary files. The virtual machine is used for executing the functions of object life cycle management, stack management, thread management, security and exception management, garbage collection and the like.

The system library may include a plurality of functional modules. For example: surface manager (surface manager), media library (media library), three-dimensional graphics processing library (e.g., openGL ES), 2D graphics engine (e.g., SGL), etc.

The surface manager is used to manage the display subsystem and provides a fusion of 2D and 3D layers for multiple applications.

Media libraries support a variety of commonly used audio, video format playback and recording, still image files, and the like. The media library may support a variety of audio and video encoding formats.

The three-dimensional graphic processing library is used for realizing three-dimensional graphic drawing, image rendering, synthesis, layer processing and the like.

The 2D graphics engine is a drawing engine for 2D drawing.

The kernel layer is a layer between hardware and software. The inner core layer at least comprises a display driver, a camera driver, an audio driver and a sensor driver.

(2) Second electronic device 200

The second electronic device 200 may be a wearable terminal device (such as a smart watch) with a wireless communication function, but is not limited thereto. Taking the example that the second electronic device 200 is a smart watch, the hardware structure of the second electronic device 200 will be described below. Referring to fig. 4, fig. 4 is a schematic hardware structure of a second electronic device 200 according to an embodiment of the present application.

The second electronic device 200 may include a processor 210, an antenna 1, an antenna 2, a mobile communication module 220, a wireless communication module 230, a memory 240, a display 250, a power supply 260, a first sensor module 270, a second sensor module 280, and the like.

It should be understood that the structure illustrated in the embodiment of the present invention does not constitute a specific limitation on the second electronic device 200. In other embodiments of the present application, the second electronic device 200 may include more or fewer components than shown, or may combine certain components, or may split certain components, or may have a different arrangement of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

Processor 210 may include one or more processing units such as, for example: processor 210 may include an AP, a modem processor, a GPU, an ISP, a controller, a memory, a video codec, a DSP, a baseband processor, and/or an NPU, etc. Wherein the different processing units may be separate devices or may be integrated in one or more processors.

The controller may be a neural hub and a command center of the second electronic device 200. 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.

A memory may also be provided in the processor 210 for storing instructions and data. In some embodiments, the memory in the processor 210 is a cache memory. The memory may hold instructions or data that the processor 210 has just used or recycled. If the processor 210 needs to reuse the instruction or data, it may be called directly from the memory. Repeated accesses are avoided and the latency of the processor 210 is reduced, thereby improving the efficiency of the system. The processor 210 invokes instructions or data stored in the memory to cause the second electronic device 200 to perform the blood pressure measurement method performed by the electronic device in the method embodiment described below.

In some embodiments, processor 210 may include one or more interfaces. The interfaces may include an I2C interface, an I2S interface, a PCM interface, a UART interface, MIPI, a GPIO interface, a SIM interface, and/or a USB interface, among others.

Memory 240 is coupled to processor 210 for storing various software programs and/or sets of instructions. In particular implementations, memory 240 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic disk storage devices, flash memory devices, or other non-volatile solid-state storage devices. The memory 240 may store an operating system, such as an embedded operating system, for example uCOS, vxWorks, RTLinux. The memory 240 may also store a communication program that may be used to communicate with the second electronic device 200, one or more servers, or additional devices.

The wireless communication function of the second electronic device 200 may be implemented by the antenna 1, the antenna 2, the mobile communication module 220, the wireless communication module 230, 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 second electronic device 200 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 220 may provide a solution for wireless communication including 2G/3G/4G/5G or the like for use on the second electronic device 200. The mobile communication module 150 may include at least one filter, switch, power amplifier, LNA, etc. The mobile communication module 220 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 220 may amplify the signal modulated by the modem processor, and convert the signal into electromagnetic waves through the antenna 1 to radiate the electromagnetic waves. In some embodiments, at least some of the functional modules of the mobile communication module 220 may be disposed in the processor 210. In some embodiments, at least some of the functional modules of the mobile communication module 220 may be provided in the same device as at least some of the modules of the processor 210.

The wireless communication module 230 may provide solutions for wireless communication including WLAN (e.g., wi-Fi network), BT, BLE broadcast, GNSS, FM, NFC, IR, etc., for use on the second electronic device 200. The wireless communication module 230 may be one or more devices that integrate at least one communication processing module. The wireless communication module 230 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 210. The wireless communication module 230 may also receive a signal to be transmitted from the processor 210, frequency modulate it, amplify it, and convert it into electromagnetic waves for radiation via the antenna 2.

In some embodiments, antenna 1 and mobile communication module 220 of second electronic device 200 are coupled, and antenna 2 and wireless communication module 230 are coupled, such that second electronic device 200 may communicate with a network and other devices through wireless communication techniques.

The second electronic device 200 implements display functions through a GPU, a display screen 250, an application processor, and the like. The GPU is a microprocessor for image processing, and is connected to the display 250 and the application processor. The GPU is used to perform mathematical and geometric calculations for graphics rendering. Processor 210 may include one or more GPUs that execute program instructions to generate or change display information.

The display 250 is used to display images, videos, interfaces, and the like. The display 250 includes a display panel. In some embodiments, the second electronic device 200 may include 1 or N display screens 250, N being a positive integer greater than 1.

A power supply 260 may be used to power the various components included in the second electronic device 200. In some embodiments, the power source 260 may be a battery, such as a rechargeable battery.

The first sensor module 270 is used for measuring the change of blood volume in the radial artery, detecting the pressure signal of the radial artery, the pulse wave transmission speed of the radial artery, and the like. The first sensor module 270 includes a first photo receiver 270A, a first red light emitting diode 270B, a first pressure sensor array 270C, a second photo receiver 270D, a first green light emitting diode 270E, and a first acceleration sensor 270F.

The first red led 270B is also called an infrared led, and is a light emitting device that can directly convert electric energy into infrared light and radiate the infrared light to the skin. The first photo receiver 270A may receive infrared light emitted from the first red light emitting diode 270B toward the skin, and a change in blood volume in the radial artery may be measured by measuring the amount of light absorbed or reflected by blood vessels in the living tissue. Similarly, the first green light emitting diode 270E is a light emitting device that can directly convert electric energy into green light and radiate the green light, and can emit the green light toward the skin. The second photo receiver 270D may receive green light emitted from the first green light emitting diode 270E toward the skin, and may measure a change in blood volume in the radial artery by measuring an amount of light absorbed or reflected by blood vessels in the living tissue. The two light emitting diodes are used for jointly detecting the change of the blood volume in the radial artery, so that the detection accuracy can be improved.

The first pressure sensor array 270C is an array composed of a plurality of pressure sensors for detecting a pressure signal of the radial artery and acquiring a pressure waveform of the radial artery.

The first acceleration sensor 270F may also be considered an accelerometer for detecting acceleration information of the second electronic device 200. The motion state of the target object carrying the second electronic device 200 can be determined according to the acceleration information.

The second sensor module 280 is used for measuring the change of blood volume in ulnar artery, detecting pressure signals of ulnar artery, pulse wave transmission speed of ulnar artery and the like. The second sensor module 280 includes a third photo receiver 280A, a second red light emitting diode 280B, a second pressure sensor array 280C, a fourth photo receiver 280D, a second green light emitting diode 280E, and a second acceleration sensor 280F.

Wherein, the second red light emitting diode 280B and the third photo receiver 280A function as the first red light emitting diode 270B and the first photo receiver 270A function, and the change of blood volume in the ulnar artery can be measured by measuring the amount of light absorbed or reflected by the blood vessel in the living tissue. The second green light emitting diode 280E and the fourth photo receiver 280D function in the same manner as the first green light emitting diode 270E and the second photo receiver 270D, and the change in the blood volume in the ulnar artery can also be measured by measuring the amount of light absorbed or reflected by the blood vessels in the living tissue. The two light emitting diodes are used for jointly detecting the change of blood volume in the ulnar artery, so that the detection accuracy can be improved.

The second pressure sensor array 280C is also an array composed of a plurality of pressure sensors for detecting the pressure signal of the ulnar artery and obtaining the pressure waveform of the ulnar artery.

The second acceleration sensor 280F may also be considered an accelerometer for detecting acceleration information of the second electronic device 200. The motion state of the target object carrying the second electronic device 200 can be determined according to the acceleration information. The two acceleration sensors detect the acceleration information of the second electronic device 200, so that the detection accuracy can be improved.

Based on the hardware structure of the second electronic device 200, the physical construction of the two sensor modules is described below. As shown in fig. 5, fig. 5 is a schematic diagram of the physical construction of a first sensor module 270 and a second sensor module 280 according to an embodiment of the present application. The first sensor modules 270 are arranged in order from point a to point B: a first photo receiver 270A, a first red light emitting diode 270B, a first pressure sensor array 270C, a first green light emitting diode 270E, a second photo receiver 270D, a first acceleration sensor 270F. The second sensor modules 280 are arranged in sequence from the point a to the point B: a third photo receiver 280A, a second red light emitting diode 280B, a second pressure sensor array 280C, a second green light emitting diode 280E, a fourth photo receiver 280D, a second acceleration sensor 280F.

Taking the example that the second electronic device 200 is a smart watch, the following describes a way in which the second electronic device 200 detects pressure signals of radial artery and ulnar artery. As shown in fig. 6A, the smart watch includes a dial and a wristband provided with two sensor modules, namely, a first sensor module (i.e., the first sensor module 270 mentioned above) and a second sensor module (i.e., the second sensor module 280 mentioned above). The dial may be circular, square, or other shapes, and is not limited herein. When the user wears the smart watch on the wrist, as shown in fig. 6B, a first sensor module provided on the wrist strap can detect the pressure signal on the radial artery of the user, and a second sensor module provided on the wrist strap can detect the pressure signal on the ulnar artery of the user.

For a clearer understanding, reference may be further made to the cross-sectional view of the smart watch when detecting the pressure signals of the radial and ulnar arteries. As shown in fig. 6C, the upper portion of the wrist is a dial of a smart watch (i.e., the second electronic device 200), the wrist strap of the smart watch is attached to the skin of the entire wrist, and the first sensor module and the second sensor module are embedded in the wrist strap at the lower portion of the wrist, wherein the first sensor module can detect the pressure signal on the radial artery of the user, and the second sensor module can detect the pressure signal on the ulnar artery of the user.

Based on the foregoing, the blood pressure measurement method provided in the embodiment of the present application is further described in detail below.

1. The blood pressure measurement method is performed by a second electronic device.

Fig. 7 is a schematic flow chart of a blood pressure measurement method according to an embodiment of the present application. As shown in fig. 7, the blood pressure measurement method includes the following steps S701 to S704. The method execution body shown in fig. 7 may be the second electronic device (i.e., the second electronic device 200) mentioned above. Alternatively, the method execution body shown in fig. 7 may be a chip in the second electronic device, which is not limited in the embodiment of the present application. Fig. 7 illustrates an execution body of the second electronic device as an example.

S701, the second electronic device acquires a first pressure signal on the radial artery of the target object and a second pressure signal on the ulnar artery of the target object.

In this embodiment of the present application, a preset APP (such as a blood pressure detection APP) may be installed on the second electronic device to perform blood pressure measurement on the target object. Wherein blood pressure includes diastolic and systolic pressure. When the target object starts the preset APP, the second electronic device enters a blood pressure measurement mode, and starts to acquire a first pressure signal on the radial artery of the target object and a second pressure signal on the ulnar artery of the target object.

Specifically, the two sensor modules provided with the second electronic device may be used to measure the first pressure signal on the radial artery of the target object and the second pressure signal on the ulnar artery of the target object, respectively. For example, the second electronic device may be equipped with the above mentioned first sensor module for measuring a first pressure signal on the radial artery of the target object and a second sensor module for measuring a second pressure signal on the ulnar artery of the target object. The first pressure signal and the second pressure signal at this time may be signals originally measured by the sensor module, or may be signals obtained by preprocessing the originally measured signals by the second electronic device, which is not limited herein.

It should be noted that the target object mentioned herein may be a user or other objects, which are not limited herein. In this embodiment, the user is taken as an example as the target object, and when the target object is the user, the data related to the first pressure signal on the radial artery, the second pressure signal on the ulnar artery, the diastolic amplitude value, the systolic amplitude value and the like in the embodiment of the present application are all obtained after the authorization of the user. Moreover, when embodiments of the present application are applied to specific products or technologies, the data involved requires user approval or consent, and the collection, use and processing of the relevant data requires compliance with relevant national and regional laws and regulations and standards.

Assuming that the second electronic device is a smart watch, the target object is a user. As shown in fig. 8A, a blood pressure detection APP is installed on the smart watch, and a user may click on the blood pressure detection APP to enter the blood pressure detection interface. As shown in fig. 8B, the blood pressure detection interface includes a blood pressure display frame and a measurement button. Wherein the blood pressure display frame includes a high pressure (systolic pressure) display frame and a low pressure (diastolic pressure) display frame. The user can click a measurement button in the blood pressure detection interface to enter the blood pressure measurement interface, and at the moment, the intelligent watch starts to acquire a first pressure signal on the radial artery of the user and a second pressure signal on the ulnar artery of the user. As shown in fig. 8C, the blood pressure measurement interface includes a prompt box and a time box, where the prompt box is used to prompt the user that "keep still during measurement, note that the watch is worn correctly"; the time frame is used to display the countdown of the blood pressure measurement time. After the measurement is completed, as shown in fig. 8D, the blood pressure detection interface is automatically returned, and the high pressure (systolic pressure) and the low pressure (diastolic pressure) currently measured by the user are displayed in the blood pressure display frame.

In addition, the second electronic device can also realize dynamic blood pressure measurement, wherein the dynamic blood pressure is a blood pressure value measured by a user within 24 hours every day and night, and the blood pressure monitoring device is noninvasive and continuous blood pressure monitoring and can more accurately and comprehensively reflect the whole blood pressure condition of the user. As shown in fig. 8E, the blood pressure detection interface may also include a dynamic blood pressure measurement button, and if the user clicks the blood pressure measurement button, the second electronic device measures the blood pressure once at intervals of the first preset time period within 24 hours. After the measurement is finished, the blood pressure detection interface is automatically returned, the dynamic blood pressure measured by the user within 24 hours is displayed in the dynamic blood pressure display frame, and the change condition of the blood pressure of the user within 24 hours can be monitored (as shown in fig. 8F). The first preset time period may be 20 minutes, may be 1 hour, or may be any other value, which is not limited herein. The first preset time period may be set by the user, or may be a default value of the system, which is not limited herein.

In one possible implementation, the first pressure signal on the radial artery of the target object and the second pressure signal on the ulnar artery of the target object may be signals obtained by preprocessing the signals originally measured by the sensor module by the second electronic device. Thus, when the second electronic device obtains the first pressure signal on the radial artery of the target object and the second pressure signal on the ulnar artery of the target object, a specific implementation may include the following steps s11 to s16. Based on this way, disturbances in the first pressure signal and the second pressure signal can be reduced, improving the accuracy of the first pressure signal and the first pressure signal.

And s11, acquiring a first original pressure signal on the radial artery of the target object, a second original pressure signal on the ulnar artery of the target object and acceleration information of the target object by the second electronic equipment within preset time.

In a specific implementation, the preset time may be a default value of the system, or a value set by a manufacturer, which is not limited herein. For example, the preset time may be 60 seconds. The second electronic device may be equipped with a first sensor module and a second sensor module. The first sensor module is provided with a first acceleration sensor and a first pressure sensor array; the first sensor module is equipped with a second acceleration sensor and a second pressure sensor array.

After the blood pressure measurement mode is started, the second electronic device can detect a first original pressure signal on the radial artery of the target object by using a first pressure sensor array in the first sensor module, and detect first acceleration information of the target object by using a first acceleration sensor in the first sensor module; a second raw pressure signal on the ulnar artery of the target object may be detected with a second pressure sensor array in the second sensor module, and second acceleration information of the target object may be detected with a second acceleration sensor in the second sensor module. Further, the acceleration information of the target object can be determined by combining the first acceleration information of the target object and the second acceleration information of the target object. For example, the first acceleration information and the second acceleration information may be weighted and calculated to obtain acceleration information of the target object; the first acceleration information and the second acceleration information can be subjected to average calculation to obtain the acceleration information of the target object; and are not limited herein. Based on the mode, the accuracy of the acceleration information of the target object can be improved.

And s12, the second electronic equipment determines the state of the target object based on the acceleration information.

In a specific implementation, after the second electronic device obtains the first original pressure signal on the radial artery of the target object, the second original pressure signal on the ulnar artery of the target object, and the acceleration information of the target object, the state of the target object in the preset time can be determined according to the acceleration information. Specifically, the state of the target object at each time point in the preset time may be set. The state of the target object may be a static state, a moving state, etc.

Assuming that the preset time is 60 seconds, each 1 second is a time point, the state of the target object at each time point in 60 seconds needs to be determined according to the acceleration information. For example, the state in which the target object is in the stationary state on the 1 st second, the state in which the target object is in the stationary state on the 2 nd second, the state in which the target object is in the moving state on the 3 rd second, … …, the state in which the target object is in the moving state on the 59 th second, and the state in which the target object is in the stationary state on the 60 th second.

Optionally, when the second electronic device determines, based on the acceleration information, a state in which the target object is located, a specific implementation manner is as follows. Based on this approach, the accuracy of determining the state of the target object can be improved.

(1) And when the acceleration in the acceleration information is smaller than or equal to a second preset threshold value, the second electronic equipment determines that the target object is in a static state.

For example, assuming that the second preset threshold is 0.6 and the acceleration of the 1 st second in the acceleration information is 0.1, the state of the target object at the 1 st second is a stationary state.

(2) And when the acceleration in the acceleration information is larger than a second preset threshold value, the second electronic equipment determines that the target object is in a motion state.

For example, assuming that the second preset threshold is 0.6 and the acceleration of the 3 rd second in the acceleration information is 0.8, the state of the target object at the 3 rd second is a motion state.

And s13, the second electronic equipment determines the first time when the target object is in a motion state.

In a specific implementation, the second electronic device needs to calculate the sum of the times when the target object is in a motion state, i.e. the first time. For example, assume that the state in which the target object is located on the 1 st second is a stationary state, the state in which the target object is located on the 2 nd second is a stationary state, the state in which the target object is located on the 3 rd second is a moving state, and the state in which the target object is located on the 4 th second is a moving state; then the first time that the target object is in motion is 2 seconds during these 4 seconds.

And S14, the second electronic equipment judges whether the first time is smaller than or equal to a first preset threshold value.

In a specific implementation, if the first time is less than or equal to a first preset threshold, step s15 is executed; if the first time is greater than a first preset threshold value, judging that the blood pressure detection fails, and prompting the target object to carry out blood pressure detection again.

It should be noted that, the first preset threshold may be a default value of the system, or may be a value customized by a manufacturer, which is not limited herein. When the sum of the time of the target object in the motion state (namely the first time) is smaller than or equal to a first preset threshold value, the target object is basically in a static state, and the detection result of blood pressure is not affected; when the sum of the time of the target object in the motion state (i.e., the first time) is greater than a first preset threshold, it indicates that the target object is in the motion state and is not stationary, and the measurement result of the blood pressure is inaccurate at this time, so that the target object is required to perform blood pressure detection again. Of course, in the scenario of dynamic blood pressure detection, the second electronic device may also automatically re-perform blood pressure detection for the target object.

And s15, the second electronic equipment performs alignment and splicing on the first original pressure signal and the second original pressure signal according to the time stamp to obtain a third pressure signal.

For example, assuming that the first preset threshold is 15 seconds, if the sum of the time for which the target object is in the motion state within 60 seconds is 10 seconds, it indicates that the target object is in a substantially stationary state, and the detection result of the blood pressure is not affected, and the first raw pressure signal and the second raw pressure signal obtained at this time are valid.

Since the start times of the acquisition of the first and second original pressure signals are not necessarily identical, in order to facilitate the subsequent signal processing, the first and second original pressure signals need to be aligned and spliced further according to the time stamp to obtain a third pressure signal. The time stamp is a time when an event is recorded, and may be considered as a time when a pressure signal is acquired.

As shown in fig. 9 (a), the start time of collecting the first original pressure signal and the start time of collecting the second original pressure signal are not identical, so that the start point of the first original pressure signal and the start point of the second original pressure signal are not identical, it is necessary to align the start point of the first original pressure signal and the start point of the second original pressure signal according to the time stamp, and splice the aligned first original pressure signal and second original pressure signal together, to obtain a third pressure signal as shown in fig. 9 (b).

s16, the second electronic device determines a first pressure signal on the radial artery of the target object and a second pressure signal on the ulnar artery of the target object based on the third pressure signal.

In a specific implementation, the second electronic device may obtain the first pressure signal on the radial artery of the target object and the second pressure signal on the ulnar artery of the target object by performing processing analysis on the third pressure signal.

Optionally, when the second electronic device determines the first pressure signal on the radial artery of the target object and the second pressure signal on the ulnar artery of the target object based on the third pressure signal, a specific implementation may include the following step a and step B. Based on this way, disturbances in the first pressure signal and the second pressure signal can be reduced, improving the accuracy of the first pressure signal and the first pressure signal.

And step A, the second electronic equipment performs filtering processing on the third pressure signal to obtain a fourth pressure signal.

Since an interference signal is also present in the third pressure signal, it is necessary to further filter the third pressure signal. Specifically, the second electronic device may perform a filtering process on the third pressure signal using a butterworth band-pass filter to obtain a fourth pressure signal. The Butterworth band-pass filter is one of electronic filters, is a low-pass filter with maximum flat amplitude response, has wide application in the communication field, has wide application in electrical measurement, and can be used as a filter for detecting signals. Of course, the second electronic device may also use other filters to filter the third pressure signal, which is not limited herein.

And B, performing blind source separation on the fourth pressure signal by the second electronic equipment to obtain a first pressure signal on the radial artery of the target object and a second pressure signal on the ulnar artery of the target object.

Because the fourth pressure signal is a mixed signal obtained by performing alignment splicing and filtering processing on the first original pressure signal and the second original pressure signal, an interference signal and the like may be mixed in the fourth pressure signal. In order to separate each independent signal from the mixed signal and remove the aliased interference signal, the second electronic device may perform blind source separation on the fourth pressure signal, so as to separate a first pressure signal on the radial artery of the target object and a second pressure signal on the ulnar artery of the target object, where the first pressure signal obtained at this time is a signal obtained by preprocessing the first original pressure signal, and the second pressure signal obtained is a signal obtained by preprocessing the second original pressure signal. Among them, the blind source separation is a technique for separating independent source signals from mixed signals obtained by measuring a set of sensors by using only a weak known condition that the source signals are independent of each other in the case where a transfer function of a system, a mixing coefficient of the source signals, and probability distribution thereof are unknown.

S702, the second electronic device determines a waveform phase difference between the first pressure signal and the second pressure signal, a cardiac cycle corresponding to the first pressure signal, a first difference between a systolic amplitude of the first pressure signal and a systolic amplitude of the second pressure signal, and a second difference between a diastolic amplitude of the first pressure signal and a diastolic amplitude of the second pressure signal.

In the present embodiment, wrist pulse wave velocity (pulse wave velocity, PWV) refers to the velocity of pressure wave propagation along the wall of the aorta generated by each pulse ejection of the heart, and is a noninvasive indicator for assessing the degree of arteriosclerosis. Where PWV is related to the elastic modulus of the blood vessel, and the elastic modulus is further related to blood pressure. Qualitatively, the worse the vascular elasticity, the higher the PWV, and the higher the blood pressure. Thus, in order to be able to measure blood pressure, a model of measuring blood pressure may be established using PWV. According to theoretical research in the biomedical field, radial artery and ulna originate from brachial artery, and according to fluid continuity equation and mass conservation law, it is assumed that the mass flow rate of blood flow is kept unchanged before and after bifurcation, that is, the flow rates of radial artery, ulna and brachial artery are kept unchanged, and PWV can be calculated by using the following formula.

S _r ＝PWV×t _r (1)

S _c ＝PWV×t _c (2)

In the formula (1), PWV represents wrist pulse wave velocity (i.e., blood flow velocity, where PWV of radial artery, ulnar artery and brachial artery are considered to be the same); s is S _r Representing the distance from the heart to the radial artery; t is t _r The pulse transit time for the radial artery can be considered as the time interval between the sending of the photoelectric signal from the light emitting diode for the radial artery to the skin and the receiving of the photoelectric signal by the photoelectric receiver (e.g., the time interval between the infrared light emitted from the first red light emitting diode in the first sensor module to the skin and the receiving of the infrared light by the first photoelectric receiver, or the first green light emitting diode in the first sensor module)The time interval between the light emitting diode emitting green light towards the skin and the second photo receiver receiving the green light).

In the formula (2), PWV represents wrist pulse wave velocity (PWV of radial artery, ulnar artery and brachial artery are the same at this time), S _c Representing the distance from the heart to the ulnar artery; t is t _c The pulse wave propagation time for the ulnar artery may be considered as a time interval between sending the photoelectric signal from the light emitting diode for the ulnar artery to the skin and receiving the photoelectric signal by the photoelectric receiver (e.g., a time interval between receiving the infrared light from the second red light emitting diode in the second sensor module to the skin and receiving the infrared light by the third photoelectric receiver, or a time interval between receiving the green light from the second green light emitting diode in the second sensor module to the skin and receiving the green light by the fourth photoelectric receiver).

The expression of PWV, i.e., formula (3), can be determined by combining formula (1) and formula (2). In equation (3), ΔS represents the difference in length between the radial artery and the ulnar artery, S _r -S _c The method comprises the steps of carrying out a first treatment on the surface of the Δt represents the pulse time difference between radial artery and ulnar artery, i.e. t _r -t _c 。

From equation (3) it can be concluded that: PWV is related to Δs, Δt (i.e., a relationship between Δs and Δt is established based on PWV), and thus a model for measuring blood pressure can be established based on Δs, Δt. Since Δs represents the difference in length between the radial artery and the ulnar artery, which is a constant that requires individual correction, the emphasis is on ensuring the accuracy of Δt.

Similarly, if the mass flow rate of the blood flow is different before and after bifurcation, that is, the flow rates of the radial artery, the ulnar artery and the brachial artery are different, PWV can also be calculated using the following formula.

S _r ＝PWV _r ×t _r (4)

S _c ＝PWV _c ×t _c (5)

A _g ·PWV＝A _r ·PWV _r +A _c ·PWV _c (6)

In the formula (4), PWV _r A pulse wave velocity representing radial artery; s is S _r Representing the distance from the heart to the radial artery; t is t _r The pulse transit time for the radial artery may be considered as the time interval between sending the photoelectric signal from the light emitting diode for the radial artery to the skin and receiving the photoelectric signal by the photoelectric receiver (e.g., the time interval between receiving the infrared light from the first red light emitting diode in the first sensor module to the skin and receiving the infrared light by the first photoelectric receiver, or the time interval between receiving the green light from the first green light emitting diode in the first sensor module to the skin and receiving the green light by the second photoelectric receiver).

In equation (5), PWV _c Pulse wave velocity of ulnar artery is represented; s is S _r Representing the distance from the heart to the radial artery; t is t _r The pulse transit time for the radial artery may be considered as the time interval between sending the photoelectric signal from the light emitting diode for the radial artery to the skin and receiving the photoelectric signal by the photoelectric receiver (e.g., the time interval between receiving the infrared light from the first red light emitting diode in the first sensor module to the skin and receiving the infrared light by the first photoelectric receiver, or the time interval between receiving the green light from the first green light emitting diode in the first sensor module to the skin and receiving the green light by the second photoelectric receiver).

In the formula (6), PWV represents the pulse wave velocity of the brachial artery (which can be regarded as the wrist pulse wave velocity, i.e., the blood flow velocity); a is that _g Represents the vascular cross-sectional area of the brachial artery; PWV (PWv) _r A pulse wave velocity representing radial artery; a is that _r Represents the vascular cross-sectional area of the radial artery; PWV (PWv) _c Pulse wave velocity of ulnar artery is represented; a is that _c Representing the vascular cross-sectional area of the ulnar artery.

The expression of PWV (the transformation manner is not limited here), that is, the expression (7) can be determined in conjunction with the expression (4), the expression (5), and the expression (6). Wherein, for S _r -S _c May be expressed as deltas, i.e. the difference in length between the radial artery and the ulnar artery; for t _r -t _c The pulse time difference between the radial artery and the ulnar artery, which can be expressed by Δt, is obtained to obtain formula (8).

From equation (8) it can be concluded that: PWV is related to Δs, Δt (i.e., a relationship between Δs and Δt is established based on PWV), and thus a model for measuring blood pressure can be established based on Δs, Δt. Since Δs represents the difference in length between the radial artery and the ulnar artery, which is a constant that requires individual correction, the emphasis is on ensuring the accuracy of Δt.

For Δt, it can be considered as a waveform phase difference between the first pressure signal and the second pressure signal. The second electronic device may determine a waveform phase difference between the first pressure signal and the second pressure signal by analyzing the waveform of the first pressure signal and the waveform of the second pressure signal (as shown in fig. 10A). However, this waveform phase difference may cause a certain error due to problems of the sensor, the processing circuit, etc., and if Δt is directly regarded as the waveform phase difference between the first pressure signal and the second pressure signal, the accuracy of the finally measured blood pressure may be reduced. Therefore, in order to improve the accuracy of blood pressure measurement, it is necessary to calibrate the waveform phase difference in the following step to improve the accuracy of the waveform phase difference.

In addition, the second electronic device may calibrate the waveform phase difference with factors that affect the waveform phase difference. Among the factors affecting the waveform phase difference are: the cardiac cycle to which the first pressure signal corresponds, a first difference between the systolic amplitude of the first pressure signal and the systolic amplitude of the second pressure signal, and a second difference between the diastolic amplitude of the first pressure signal and the diastolic amplitude of the second pressure signal. The second electronic device therefore needs to determine the cardiac cycle by analyzing the waveform of the first pressure signal (as shown in fig. 10B), which is the process the cardiovascular system undergoes from the start of one heartbeat to the start of the next heartbeat. The second electronic device also needs to determine the first difference (as shown in fig. 10C) and the second difference (as shown in fig. 10D) by analyzing the waveforms of the first pressure signal and the second pressure signal for subsequent use.

S703, the second electronic device determines a pulse time difference between the radial artery and the ulnar artery based on the waveform phase difference, the cardiac cycle, the first difference value, and the second difference value.

In the embodiment of the application, in order to improve the accuracy of blood pressure measurement, the waveform phase difference needs to be calibrated. The second electronic device may calibrate the waveform phase difference using the cardiac cycle, the first difference value, and the second difference value to obtain a pulse time difference between the radial artery and the ulnar artery.

In one possible implementation, when the second electronic device determines the pulse time difference between the radial artery and the ulnar artery based on the waveform phase difference, the cardiac cycle, the first difference value, and the second difference value, a specific implementation may be: invoking a first model to process the waveform phase difference, the cardiac cycle, the first difference value and the second difference value to obtain pulse time difference between radial artery and ulnar artery; the first model is trained based on a first training sample and a corresponding pulse time difference label. Based on this approach, the accuracy of the pulse time difference between the radial artery and the ulnar artery can be improved.

In a specific implementation, the second electronic device uses the cardiac cycle, the first difference value and the second difference value to calibrate the waveform phase difference, and may use a machine learning model, that is, may call a first model to process the waveform phase difference, the cardiac cycle, the first difference value and the second difference value, so as to obtain a pulse time difference between the radial artery and the ulnar artery. The first model is a trained calibration model, and may be a neural network model, such as a deep neural network, a feedforward neural network, a feedback neural network, a fully connected neural network, or other network models, which are not limited herein.

Specifically, the first model is trained by using massive first training samples and corresponding pulse time difference labels. The first training sample includes a sample waveform phase difference, a sample cardiac cycle, a sample first difference value, and a sample second difference value. Illustratively, assuming that the first model is a neural network model, the specific training process of the first model includes: inputting the plurality of first training samples into an initial neural network model for training, adjusting parameters of the initial neural network model by using pulse time difference labels marked by each first training sample, and completing training after the training reaches the times to obtain the first model.

S704, the second electronic device determines a diastolic pressure of the target object and a systolic pressure of the target object based on the waveform of the first pressure signal, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal, and the length difference between the radial artery and the ulnar artery.

In the embodiment of the application, in order to be able to measure blood pressure, a model for measuring blood pressure may be established using PWV. PWV is associated with Δs, Δt, and the second electronic device has determined that the pulse time difference between radial artery and ulnar artery (i.e., Δt) requires further individual calibration to obtain the length difference between radial artery and ulnar artery (i.e., Δs). At present, radial artery is mostly adopted for monitoring blood pressure clinically, and the method has the advantages of being visual, accurate, easy to observe blood pressure changes, arterial ejection waveforms of patients and the like, and is suitable for monitoring blood pressure of operation patients and critical patients. In order to be able to improve the accuracy of the model for measuring blood pressure, the waveform characteristics and amplitude characteristics of the radial artery can also be used for modeling together. Therefore, it is further desirable to obtain the waveform of the first pressure signal on the radial artery, the systolic amplitude of the first pressure signal, and the diastolic amplitude of the first pressure signal.

Then, the second electronic device can determine the diastolic pressure of the target object and the systolic pressure of the target object according to the waveform of the first pressure signal, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal and the length difference between the radial artery and the ulnar artery, thereby completing the blood pressure detection of the target object. Based on this, the accuracy of blood pressure measurement can be improved.

In one possible implementation, when the second electronic device determines the diastolic pressure of the target object and the systolic pressure of the target object based on the waveform of the first pressure signal, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal, and the length difference between the radial artery and the ulnar artery, a specific implementation may include the following steps s21 and s22.

s21, the second electronic device determines first information based on the waveform of the first pressure signal, wherein the first information comprises a peak amplitude to trough amplitude ratio, a pulse wave amplitude ratio, an area surrounded by a peak-to-end curve of the dicrotic wave, and an arteriosclerosis index.

In a specific implementation, the second electronic device may analyze first information according to the waveform of the first pressure signal, where parameters included in the first information are all parameters for measuring blood pressure. In the first information, the peak amplitude to valley amplitude ratio (Ratio of maximumpeak intensity to valley intensity, RIPV) refers to a first ratio between the peak amplitude and the valley amplitude of the first pressure signal (taking one cardiac cycle of the first pressure signal as an example, as shown in fig. 11A); the pulse wave amplitude ratio (Photoplethysmogramintensity ratio, PIR) refers to a second ratio between the peak amplitude and the starting point amplitude of the first pressure signal (taking one cardiac cycle of the first pressure signal as an example, as shown in fig. 11B); the area enclosed by the peak-to-end curve of the dicrotic wave (which may be denoted S4) is shown in fig. 11C (taking one cardiac cycle of the first pressure signal as an example); the arteriosclerosis index (Large Artery Stiffness Index, LASI) refers to the inverse of the time interval between the peak of the first pressure signal and the dicrotic wave (taking one cardiac cycle of the first pressure signal as an example, as shown in fig. 11D).

s22, the second electronic device determines the diastolic pressure of the target object and the systolic pressure of the target object based on the first information, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal, and the length difference between the radial artery and the ulnar artery.

Optionally, the second electronic device determines the diastolic pressure of the target object and the systolic pressure of the target object based on the first information, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal, and the length difference between the radial artery and the ulnar artery, and the specific implementation manner includes the following steps a and b. Based on this, the accuracy of blood pressure measurement can be further improved.

Step a, a second electronic device calls a second model to process the first information, the pulse time difference, the contraction amplitude of the first pressure signal, the relaxation amplitude of the first pressure signal and the length difference between the radial artery and the ulnar artery to obtain the diastolic pressure of the target object; the second model is trained based on a second training sample and a corresponding diastolic blood pressure label.

In a specific implementation, the second electronic device determines the diastolic pressure of the target object by using the first information, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal, and the length difference between the radial artery and the ulnar artery, and may use a machine learning model, that is, may call a second model to process the first information, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal, and the length difference between the radial artery and the ulnar artery, so as to obtain the diastolic pressure of the target object. The second model is a trained diastolic pressure model, and may be a neural network model, such as a deep neural network, a feedforward neural network, a feedback neural network, a fully connected neural network, or other network models, which are not limited herein.

Specifically, the second model is trained using a plurality of second training samples and corresponding diastolic blood pressure labels. The second training sample includes sample first information, a sample pulse time difference, a systolic amplitude of the sample first pressure signal, a diastolic amplitude of the sample first pressure signal, and a sample length difference between the radial artery and the ulnar artery. Illustratively, assuming that the second model is a neural network model, the specific training process of the second model includes: and inputting the plurality of second training samples into an initial neural network model for training, adjusting parameters of the initial neural network model by using the diastolic blood pressure label marked by each second training sample, and completing training after the training reaches the times to obtain the second model.

Step b, the second electronic equipment calls a third model to process the first information, the pulse time difference, the contraction amplitude of the first pressure signal, the relaxation amplitude of the first pressure signal and the length difference between the radial artery and the ulnar artery to obtain the contraction pressure of the target object; the third model is trained based on the second training samples and the corresponding shrink labels.

In a specific implementation, the second electronic device determines the systolic pressure of the target object by using the first information, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal, and the length difference between the radial artery and the ulnar artery, and may use a machine learning model, that is, may call a third model to process the first information, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal, and the length difference between the radial artery and the ulnar artery, so as to obtain the systolic pressure of the target object. The third model is a trained systolic pressure model, and may be a neural network model, such as a deep neural network, a feedforward neural network, a feedback neural network, a fully connected neural network, or other network models, which are not limited herein.

Specifically, the third model is trained using a plurality of second training samples and corresponding shrink labels. The second training sample includes sample first information, a sample pulse time difference, a systolic amplitude of the sample first pressure signal, a diastolic amplitude of the sample first pressure signal, and a sample length difference between the radial artery and the ulnar artery. Illustratively, assuming that the third model is a neural network model, the specific training process of the third model includes: and inputting the plurality of second training samples into an initial neural network model for training, adjusting parameters of the initial neural network model by using the contraction pressure label marked by each second training sample, and completing training after the training reaches the times to obtain the third model.

It should be noted that the execution order of the step a and the step b is not limited.

In general, as shown in fig. 11E, the blood pressure measurement method may be divided into the following steps: firstly, acquiring a first pressure signal on the radial artery of a target object and a second pressure signal on the ulnar artery of the target object; four parameters, namely a waveform phase difference (p_rc) between the first pressure signal and the second pressure signal, a cardiac cycle (h_t) corresponding to the first pressure signal, a first difference (sp_r-sp_c) between a systolic amplitude of the first pressure signal and a systolic amplitude of the second pressure signal, and a second difference (dp_r-dp_c) between a diastolic amplitude of the first pressure signal and a diastolic amplitude of the second pressure signal, are then analyzed from the first pressure signal and the second pressure signal. Inputting the four parameters into a trained first model, and outputting pulse time difference (delta t) between radial artery and ulnar artery; then, four characteristic information, namely a peak amplitude to trough amplitude Ratio (RIPV), a pulse wave amplitude ratio (PIR), an area surrounded by a peak-to-end curve of the dicrotic wave (S4) and an arteriosclerosis index (LASI) are analyzed from the waveform of the first pressure signal (namely, the waveform of the pressure signal of the radial artery); simultaneously, the systolic amplitude (SP_r) of the first pressure signal, the diastolic amplitude (DP_r) of the first pressure signal and the length difference (delta S) between the radial artery and the ulnar artery are also acquired; finally, delta S, SP _r, DP_r, delta t, RIPV, PIR, S4 and LASI are output together to a trained second model (ML_dbp), and the diastolic pressure of the target object is output; the Δ S, SP _r, dp_r, Δ t, RIPV, PIR, S4 and LASI are output together to the trained third model (ml_sbp) and the systolic blood pressure of the target subject is output, thereby completing the blood pressure measurement of the target subject.

It can be seen that, based on the above-described method, after the second electronic device obtains the first pressure signal on the radial artery of the target object and the second pressure signal on the ulnar artery of the target object, the first pressure signal and the second pressure signal are analyzed, and four parameters, that is, a waveform phase difference between the first pressure signal and the second pressure signal, a cardiac cycle corresponding to the first pressure signal, a first difference between a contraction amplitude of the first pressure signal and a contraction amplitude of the second pressure signal, and a second difference between a relaxation amplitude of the first pressure signal and a relaxation amplitude of the second pressure signal are determined; the pulse time difference between the radial artery and the ulna artery is determined through the four parameters, so that the calibration of the waveform phase difference is realized; and finally, determining the diastolic pressure of the target object and the systolic pressure of the target object by utilizing the characteristic information in the waveform of the first pressure signal, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal and the length difference between the radial artery and the ulnar artery. Because the pulse time difference between the radial artery and the ulnar artery is calibrated, the parameters (namely, the characteristic information in the waveform of the first pressure signal, the contraction amplitude of the first pressure signal, the relaxation amplitude of the first pressure signal and the length difference between the radial artery and the ulnar artery) affecting the blood pressure are utilized to build a model together with the pulse time difference, and the parameters are further optimized, so that the accuracy of blood pressure measurement is improved.

2. The blood pressure measurement method is jointly executed by the first electronic device and the second electronic device.

Fig. 12 is a flowchart of another blood pressure measurement method according to an embodiment of the present application. As shown in fig. 12, the blood pressure measurement method includes the following steps S1201 to S1205. The method execution subject shown in fig. 12 may be the first electronic device (i.e., the second electronic device 100) and the second electronic device (i.e., the second electronic device 200) mentioned above. Alternatively, the method execution body shown in fig. 12 may be a chip in the first electronic device and a chip in the second electronic device, which is not limited in the embodiment of the present application. Fig. 12 illustrates an example of a method of executing a first electronic device and a second electronic device.

S1201, the second electronic device acquires a first pressure signal on the radial artery of the target object and a second pressure signal on the ulnar artery of the target object.

The specific implementation manner of step S1201 may refer to the specific implementation manner of step S701, and will not be described herein.

S1202, the second electronic device sends the first pressure signal and the second pressure signal to the first electronic device. Accordingly, the first electronic device receives the first pressure signal and the second pressure signal from the second electronic device.

In this embodiment of the present application, the first electronic device acquires a first pressure signal on the radial artery of the target object and a second pressure signal on the ulnar artery of the target object.

It should be noted that, in the manner of acquiring the first pressure signal and the second pressure signal by the first electronic device, the first electronic device may also receive the first original pressure signal on the radial artery of the target object, the second original pressure signal on the ulnar artery of the target object, and the acceleration information of the target object from the second electronic device; then the first electronic equipment determines the state of the target object based on the acceleration information; the first electronic equipment determines a first time when the target object is in a motion state; the first electronic equipment judges whether the first time is smaller than or equal to a first preset threshold value; the first electronic device performs alignment splicing on the first original pressure signal and the second original pressure signal according to the time stamp to obtain a third pressure signal; finally, the first electronic device determines a first pressure signal on the radial artery of the target object and a second pressure signal on the ulnar artery of the target object based on the third pressure signal. Specific implementation may refer to the steps s11 to s16, and will not be described herein.

S1203, the first electronic device determines a waveform phase difference between the first pressure signal and the second pressure signal, a cardiac cycle corresponding to the first pressure signal, a first difference between a systolic amplitude of the first pressure signal and a systolic amplitude of the second pressure signal, and a second difference between a diastolic amplitude of the first pressure signal and a diastolic amplitude of the second pressure signal.

S1204, the first electronic device determines a pulse time difference between the radial artery and the ulnar artery based on the waveform phase difference, the cardiac cycle, the first difference value, and the second difference value.

S1205, the first electronic device determines a diastolic pressure of the target object and a systolic pressure of the target object based on the waveform of the first pressure signal, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal, and the length difference between the radial artery and the ulnar artery.

The specific implementation manner of steps S1203 to S1205 may refer to the specific implementation manner of steps S702 to S704, and will not be described herein.

S1206, the first electronic device sends the diastolic pressure of the target object and the systolic pressure of the target object to the second electronic device. Accordingly, the second electronic device receives the diastolic pressure of the target object and the systolic pressure of the target object from the first electronic device.

The first electronic device is a mobile phone, the second electronic device is a smart watch, and the target object is a user. As shown in fig. 8A, a blood pressure detection APP is installed on the smart watch, and a user may click on the blood pressure detection APP to enter the blood pressure detection interface. As shown in fig. 8B, the blood pressure detection interface includes a blood pressure display frame and a measurement button. Wherein the blood pressure display frame includes a high pressure (systolic pressure) display frame and a low pressure (diastolic pressure) display frame. The user can click a measurement button in the blood pressure detection interface to enter the blood pressure measurement interface, and at the moment, the intelligent watch starts to acquire a first pressure signal on the radial artery of the user and a second pressure signal on the ulnar artery of the user.

After the smart watch acquires the first pressure signal on the radial artery of the user and the second pressure signal on the ulnar artery of the user, the smart watch sends the first pressure signal and the second pressure signal to the mobile phone for data processing, and the mobile phone executes the operations of steps S1203 to S1205. As shown in fig. 13A, a health APP is also installed on the mobile phone, and the user can click on the health APP to enter the health data interface. As shown in fig. 13B, the health data interface includes data boxes for steps, heart rate, blood pressure, activity energy, etc. Of course, the health data interface may include other data frames, or may include more or less data frames, which is not limited herein. The user may click on the blood pressure data box to enter the blood pressure data interface. As shown in fig. 13C, the high pressure (systolic pressure) and the low pressure (diastolic pressure) currently measured by the user can be viewed at the blood pressure data interface. In addition, the intelligent watch can also realize dynamic blood pressure measurement, and at the moment, the blood pressure change condition of a user within 24 hours can be checked in a blood pressure data frame.

Of course, the mobile phone may also send the determined high pressure (systolic pressure) and low pressure (diastolic pressure) of the user to the smart watch, and the user may also check the high pressure (systolic pressure) and low pressure (diastolic pressure) currently measured by the user in the blood pressure detection APP of the smart watch (as shown in fig. 8D). Similarly, the mobile phone can also send the determined dynamic blood pressure measurement result to the smart watch, and the user can also check the blood pressure change condition of the user within 24 hours in the blood pressure detection APP of the smart watch (as shown in fig. 8F).

It can be seen that, based on the above-described method, after the second electronic device obtains the first pressure signal on the radial artery of the target object and the second pressure signal on the ulnar artery of the target object, the first pressure signal and the second pressure signal are sent to the first electronic device to perform data processing, so as to obtain the diastolic pressure of the target object and the systolic pressure of the target object. In the process of processing data, the first electronic device establishes a model together with the pulse time difference due to the fact that the pulse time difference between the radial artery and the ulnar artery is calibrated, and meanwhile, parameters affecting blood pressure (namely characteristic information in the waveform of the first pressure signal, the contraction amplitude of the first pressure signal, the relaxation amplitude of the first pressure signal and the length difference between the radial artery and the ulnar artery) are utilized, so that the parameter is further optimized, and the accuracy of blood pressure measurement is improved; in addition, the first electronic equipment assists the second electronic equipment in data processing, so that the power consumption of the second electronic equipment is saved, and the data processing efficiency is improved.

Referring to fig. 14, fig. 14 is a schematic diagram illustrating a structure of a blood pressure measurement device 1400 according to an embodiment of the present application. The blood pressure measuring device shown in fig. 14 may be an electronic device, a device in an electronic device, or a device that can be used in cooperation with an electronic device. The blood pressure measuring device shown in fig. 14 may include an acquisition unit 1401 and a determination unit 1402. Wherein:

an acquisition unit 1401 for acquiring a first pressure signal on a radial artery of a target object and a second pressure signal on an ulnar artery of the target object;

a determining unit 1402 for determining a waveform phase difference between the first pressure signal and the second pressure signal, a cardiac cycle to which the first pressure signal corresponds, a first difference between a systolic amplitude of the first pressure signal and a systolic amplitude of the second pressure signal, and a second difference between a diastolic amplitude of the first pressure signal and a diastolic amplitude of the second pressure signal;

a determining unit 1402 further configured to determine a pulse time difference between the radial artery and the ulnar artery based on the waveform phase difference, the cardiac cycle, the first difference value, and the second difference value;

the determining unit 1402 is further configured to determine a diastolic pressure of the target object and a systolic pressure of the target object based on the waveform of the first pressure signal, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal, and the length difference between the radial artery and the ulnar artery.

In a possible implementation, the determining unit 1402 is specifically configured to, when determining the pulse time difference between the radial artery and the ulnar artery based on the waveform phase difference, the cardiac cycle, the first difference value and the second difference value: invoking a first model to process the waveform phase difference, the cardiac cycle, the first difference value and the second difference value to obtain a pulse time difference between the radial artery and the ulnar artery; the first model is trained based on a first training sample and a corresponding pulse time difference label.

In a possible implementation manner, the determining unit 1402 is specifically configured to, when determining the diastolic pressure of the target object and the systolic pressure of the target object based on the waveform of the first pressure signal, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal, and the length difference between the radial artery and the ulnar artery: determining first information based on a waveform of the first pressure signal, the first information including a peak amplitude to trough amplitude ratio, a pulse wave amplitude ratio, an area surrounded by a dicrotic wave peak to end point curve, an arteriosclerosis index; a diastolic pressure of the target subject and a systolic pressure of the target subject are determined based on the first information, the pulse time difference, a systolic amplitude of the first pressure signal, a diastolic amplitude of the first pressure signal, and a length difference between the radial artery and the ulnar artery.

In a possible implementation manner, the determining unit 1402 is specifically configured to, when determining the diastolic pressure of the target object and the systolic pressure of the target object based on the first information, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal, and the length difference between the radial artery and the ulnar artery: invoking a second model to process the first information, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal and the length difference between the radial artery and the ulnar artery to obtain the diastolic pressure of the target object; the second model is obtained based on a second training sample and corresponding diastolic blood pressure label training; invoking a third model to process the first information, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal and the length difference between the radial artery and the ulnar artery to obtain the systolic pressure of the target object; the third model is trained based on the second training sample and a corresponding shrink label.

In one possible implementation, the acquiring unit 1401 is specifically configured to, when acquiring a first pressure signal on a radial artery of a target object and a second pressure signal on an ulnar artery of the target object: acquiring a first original pressure signal on the radial artery of a target object, a second original pressure signal on the ulnar artery of the target object and acceleration information of the target object in a preset time; determining the state of the target object based on the acceleration information; determining a first time when the target object is in a motion state; if the first time is smaller than or equal to a first preset threshold value, aligning and splicing the first original pressure signal and the second original pressure signal according to the time stamp to obtain a third pressure signal; a first pressure signal on the radial artery of the target object and a second pressure signal on the ulnar artery of the target object are determined based on the third pressure signal.

In one possible implementation, the acquiring unit 1401 is specifically configured to, when acquiring a first pressure signal on a radial artery of a target object and a second pressure signal on an ulnar artery of the target object: a first pressure signal on a radial artery of a target object and a second pressure signal on an ulnar artery of the target object are received from a second electronic device.

In a possible implementation manner, the determining unit 1402 is specifically configured to, when determining the first pressure signal on the radial artery of the target object and the second pressure signal on the ulnar artery of the target object based on the third pressure signal: filtering the third pressure signal to obtain a fourth pressure signal; and performing blind source separation on the fourth pressure signal to obtain a first pressure signal on the radial artery of the target object and a second pressure signal on the ulnar artery of the target object.

In a possible implementation manner, the determining unit 1402 is specifically configured to, when determining, based on the acceleration information, a state in which the target object is located: when the acceleration in the acceleration information is smaller than or equal to a second preset threshold value, determining that the target object is in a static state; and when the acceleration in the acceleration information is larger than the second preset threshold value, determining that the target object is in a motion state.

For the case where the blood pressure measuring device may be a chip or a chip system, reference may be made to the schematic structure of the chip shown in fig. 15. The chip 1500 shown in fig. 15 includes a processor 1501 and an interface 1502. Optionally, a memory 1503 may also be included. Wherein the number of processors 1501 may be one or more, and the number of interfaces 1502 may be a plurality.

For the case where the chip is used to implement the electronic device (the first electronic device or the second electronic device) in the embodiment of the present application:

the interface 1502 is configured to receive or output a signal;

the processor 1501 is configured to perform data processing operations of an electronic device (either a first electronic device or a second electronic device).

It can be understood that some optional features in the embodiments of the present application may be implemented independently in some scenarios, independent of other features, such as the scheme on which they are currently based, so as to solve corresponding technical problems, achieve corresponding effects, or may be combined with other features according to requirements in some scenarios. Accordingly, the blood pressure measuring device provided in the embodiments of the present application may also implement these features or functions accordingly, which will not be described herein.

It should be appreciated that the processor in the embodiments of the present application may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method embodiments may be implemented by integrated logic circuits of hardware in a processor or instructions in software form. The processor may be a general purpose processor, a digital signal processor (digital signal processor, DSP), an application specific integrated circuit (application specific integrated circuit, ASIC), a field programmable gate array (field programmable gate array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components.

It will be appreciated that the memory in embodiments of the present application may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. The volatile memory may be random access memory (random access memory, RAM) which acts as an external cache. By way of example, and not limitation, many forms of RAM are available, such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous DRAM (SLDRAM), and direct memory bus RAM (DR RAM). It should be noted that the memory of the systems and methods described herein is intended to comprise, without being limited to, these and any other suitable types of memory.

The present application also provides a computer readable storage medium having stored therein a computer program comprising program instructions for performing the functions of any of the method embodiments described above when the program instructions are run on a blood pressure measuring device.

The present application also provides a computer program product which, when run on a computer, causes the computer to carry out the functions of any of the method embodiments described above.

In the above embodiments, the implementation may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a high-density digital video disc (digital video disc, DVD)), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.

The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method of measuring blood pressure, the method comprising:

acquiring a first pressure signal on a radial artery of a target object and a second pressure signal on an ulnar artery of the target object;

determining a waveform phase difference between the first pressure signal and the second pressure signal, a cardiac cycle to which the first pressure signal corresponds, a first difference between a systolic amplitude of the first pressure signal and a systolic amplitude of the second pressure signal, and a second difference between a diastolic amplitude of the first pressure signal and a diastolic amplitude of the second pressure signal;

determining a pulse time difference between the radial artery and the ulnar artery based on the waveform phase difference, the cardiac cycle, the first difference value, and the second difference value;

Determining a diastolic pressure of the target subject and a systolic pressure of the target subject based on a waveform of the first pressure signal, the pulse time difference, a systolic amplitude of the first pressure signal, a diastolic amplitude of the first pressure signal, and a length difference between the radial artery and the ulnar artery.

2. The method of claim 1, wherein the determining a pulse time difference between the radial artery and the ulnar artery based on the waveform phase difference, the cardiac cycle, the first difference value, and the second difference value comprises:

invoking a first model to process the waveform phase difference, the cardiac cycle, the first difference value and the second difference value to obtain a pulse time difference between the radial artery and the ulnar artery; the first model is trained based on a first training sample and a corresponding pulse time difference label.

3. The method of claim 1 or 2, wherein the determining the diastolic pressure of the target subject and the systolic pressure of the target subject based on the waveform of the first pressure signal, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal, and the length difference between the radial artery and the ulnar artery comprises:

Determining first information based on a waveform of the first pressure signal, wherein the first information comprises a peak amplitude-to-trough amplitude ratio, a pulse wave amplitude ratio, an area surrounded by a dicrotic wave peak-to-end curve, and an arteriosclerosis index;

determining a diastolic pressure of the target subject and a systolic pressure of the target subject based on the first information, the pulse time difference, a systolic amplitude of the first pressure signal, a diastolic amplitude of the first pressure signal, and a length difference between the radial artery and the ulnar artery.

4. The method of claim 3, wherein the determining the diastolic pressure of the target subject and the systolic pressure of the target subject based on the first information, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal, and the length difference between the radial artery and the ulnar artery comprises:

invoking a second model to process the first information, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal and the length difference between the radial artery and the ulnar artery to obtain the diastolic pressure of the target object; the second model is obtained based on a second training sample and corresponding diastolic pressure labels;

Invoking a third model to process the first information, the pulse time difference, the systolic amplitude of the first pressure signal, the diastolic amplitude of the first pressure signal and the length difference between the radial artery and the ulnar artery to obtain the systolic pressure of the target object; the third model is trained based on the second training samples and corresponding shrink labels.

5. The method of any one of claims 1-4, wherein the acquiring a first pressure signal on the radial artery of the target subject and a second pressure signal on the ulnar artery of the target subject comprises:

acquiring a first original pressure signal on a radial artery of a target object, a second original pressure signal on an ulnar artery of the target object and acceleration information of the target object in a preset time;

determining the state of the target object based on the acceleration information;

determining a first time when the target object is in a motion state;

if the first time is smaller than or equal to a first preset threshold value, aligning and splicing the first original pressure signal and the second original pressure signal according to a time stamp to obtain a third pressure signal;

A first pressure signal on a radial artery of the target object and a second pressure signal on an ulnar artery of the target object are determined based on the third pressure signal.

6. The method of claim 5, wherein the determining a first pressure signal on the radial artery of the target subject and a second pressure signal on the ulnar artery of the target subject based on the third pressure signal comprises:

filtering the third pressure signal to obtain a fourth pressure signal;

and performing blind source separation on the fourth pressure signal to obtain a first pressure signal on the radial artery of the target object and a second pressure signal on the ulnar artery of the target object.

7. The method according to claim 5 or 6, wherein the determining the state in which the target object is located based on the acceleration information includes:

when the acceleration in the acceleration information is smaller than or equal to a second preset threshold value, determining that the target object is in a static state;

and when the acceleration in the acceleration information is larger than the second preset threshold value, determining that the target object is in a motion state.

8. An electronic device, comprising: one or more processors, one or more memories; wherein one or more memories are coupled to one or more processors, the one or more memories being operable to store computer program code comprising computer instructions that, when executed by the one or more processors, cause the electronic device to perform the method of any of claims 1-7.

9. A chip comprising a processor and an interface, the processor and the interface being coupled; the interface being for receiving or outputting signals, the processor being for executing code instructions to cause the method of any of claims 1-7 to be performed.

10. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a computer program comprising program instructions, which when run on an electronic device, cause the electronic device to perform the method of any of claims 1-7.

11. A computer program product, characterized in that the computer program product, when run on a computer, causes the computer to perform the method according to any of claims 1-7.