CN117179717A

CN117179717A - Method for realizing blood pressure measurement, wearable device, mobile terminal and storage medium

Info

Publication number: CN117179717A
Application number: CN202210611393.4A
Authority: CN
Inventors: 姚运运; 李佳; 朱国康
Original assignee: Anhui Huami Health Technology Co Ltd
Current assignee: Anhui Huami Health Technology Co Ltd
Priority date: 2022-05-31
Filing date: 2022-05-31
Publication date: 2023-12-08

Abstract

The application discloses a method for realizing blood pressure measurement, a wearable device, a mobile terminal and a storage medium, wherein the method comprises the following steps: acquiring an emotion pressure value of a measured object; under the condition that the emotion pressure value is larger than a preset emotion pressure threshold value, carrying out relaxation guide on the detected object until the emotion pressure value of the detected object is smaller than or equal to the preset emotion pressure threshold value again; and measuring the blood pressure of the tested object. Therefore, the method judges the measurement condition of the blood pressure according to the emotion pressure value of the measured object obtained by the wearable equipment, and adaptively guides the measured object to relax so as to achieve the condition of effectively measuring the blood pressure, thereby ensuring the accuracy of blood pressure measurement, improving the reliability of measuring the blood pressure by the wearable equipment and improving the user experience.

Description

Method for realizing blood pressure measurement, wearable device, mobile terminal and storage medium

Technical Field

The present application relates to the field of blood pressure measurement technologies, and in particular, to a method for implementing blood pressure measurement, a wearable device, a mobile terminal, and a storage medium.

Background

Blood pressure is an important vital sign indicator, and the measurement conditions have a great influence on the accuracy of blood pressure measurement.

In the related art, a user can measure blood pressure by purchasing a blood pressure measuring device. In general, in order to ensure accuracy of blood pressure measurement results, a user takes a rest for 5 to 10 minutes based on the recommended instructions of the user before performing blood pressure measurement, and performs blood pressure measurement after taking a rest for 5 to 10 minutes. However, the above-mentioned scheme usually determines whether or not the own emotional condition satisfies the measurement condition by a manual method, and there is a possibility that the user ignores the instruction, does not notice the measurement condition, and further, there is a possibility that an error occurs in the blood pressure measurement result.

Disclosure of Invention

The present application aims to solve at least one of the technical problems in the related art to some extent.

Therefore, a first object of the present application is to provide a method for implementing blood pressure measurement, which determines a blood pressure measurement condition according to an emotion pressure value of a measured object obtained by a wearable device, and adaptively guides the measured object to relax to achieve the condition of effectively measuring blood pressure, thereby ensuring accuracy of blood pressure measurement, improving reliability of measuring blood pressure by the wearable device, and improving user experience.

A second object of the present application is to propose another blood pressure measuring device.

A third object of the application is to propose a wearable device.

A fourth object of the present application is to propose a mobile terminal.

A fifth object of the present application is to propose a computer readable storage medium.

To achieve the above object, an embodiment of a first aspect of the present application provides a method for implementing blood pressure measurement, where the method is applied to a wearable device, and includes:

acquiring an emotion pressure value of a measured object;

under the condition that the emotion pressure value is larger than a preset emotion pressure threshold value, carrying out relaxation guide on the detected object until the emotion pressure value of the detected object is acquired again and is smaller than or equal to the preset emotion pressure threshold value;

and measuring the blood pressure of the tested object.

According to one embodiment of the present application, the obtaining the emotional stress value of the tested object includes:

acquiring at least one physiological parameter information of the tested object;

inputting the at least one physiological parameter information into a stress evaluation model to obtain an emotion stress value of the tested object through the stress evaluation model.

According to one embodiment of the application, the pressure assessment model comprises an input layer, a fusion layer and a pressure assessment layer, the at least one physiological parameter information comprising a plurality of physiological parameter information;

The input of the physiological parameter information into a stress evaluation model to obtain the emotion stress value of the tested object through the stress evaluation model comprises the following steps:

inputting the multiple physiological parameter information into the input layer to obtain respective corresponding expression vectors of the multiple physiological parameter information;

inputting the respective corresponding expression vectors of the physiological parameter information to the fusion layer so as to fuse the respective corresponding expression vectors of the physiological parameter information through the fusion layer to obtain a fused expression vector;

and inputting the fusion expression vector to the stress evaluation layer to obtain the emotion stress value of the tested object.

Wherein the plurality of physiological parameter information comprises: at least two of brain electrical data, heart rate, body surface temperature, electrocardiographic data, and respiratory rate.

According to one embodiment of the present application, the performing relaxation guidance on the tested object includes:

the wearable device performs loosening guide on the detected object;

or the wearable device sends an instruction or information to a mobile terminal in wireless communication with the wearable device, and the instruction or information triggers the mobile terminal to perform loosening guidance on the tested object.

outputting a plurality of preset relaxation modes;

acquiring a target relaxation mode selected from the preset plurality of relaxation modes;

and according to the target relaxation mode, carrying out relaxation guide on the tested object.

According to one embodiment of the present application, before the outputting the preset plurality of relaxation modes, the method further comprises:

determining recommendation indexes corresponding to the relaxation modes respectively;

ordering the plurality of relaxation modes in order of the recommendation index from greater to lesser;

wherein the outputting the preset plurality of relaxation modes includes:

outputting the ordered plurality of relaxation modes.

According to one embodiment of the present application, the determining the recommendation index corresponding to each of the plurality of relaxation modes includes:

querying the clicked times corresponding to each of the plurality of locally stored relaxation modes;

and determining recommendation indexes corresponding to the relaxation modes respectively according to the clicked times.

Sending a request for acquiring the clicked times of the plurality of relaxation modes to a server through the mobile terminal;

receiving a response returned by the server, wherein the response comprises: the clicked times corresponding to each of the plurality of relaxation modes;

According to an embodiment of the present application, the method further comprises:

acquiring a relaxation mode ordered in the first position from the ordered plurality of relaxation modes;

judging whether the target relaxation mode is the relaxation mode ordered at the first position or not to obtain a judgment result;

according to the judging result, the clicked times of the target relaxation mode are adjusted; or generating corresponding feedback information according to the judging result, wherein the feedback information is used for prompting whether the target relaxation mode is a relaxation mode ordered at the first position; and sending the feedback information to the server so that the server adjusts the clicked times of the target relaxation mode according to the feedback information.

Determining the clicked times corresponding to each of the plurality of relaxation modes based on the ordering learning model;

According to one embodiment of the present application, before the relaxing guidance is performed on the object, the method further includes:

and outputting prompt information, wherein the prompt information is used for prompting that the emotion pressure value is larger than a preset emotion pressure threshold value and relaxation adjustment is needed.

To achieve the above object, an embodiment of a second aspect of the present application provides another method for implementing blood pressure measurement, where the method is applied to a mobile terminal in wireless communication with a wearable device, and includes:

receiving an emotion pressure value of a detected object sent by wearable equipment;

under the condition that the emotion pressure value is larger than a preset emotion pressure threshold value, carrying out relaxation guide on the detected object until receiving that the emotion pressure value of the detected object is smaller than or equal to the preset emotion pressure threshold value again;

and sending prompt information to the wearable equipment, wherein the prompt information is used for prompting that the measured object can be subjected to blood pressure measurement.

outputting a plurality of preset relaxation modes;

wherein the outputting the preset plurality of relaxation modes includes:

outputting the ordered plurality of relaxation modes.

sending a request for acquiring the clicked times of the plurality of relaxation modes to a server;

According to one embodiment of the application, the method further comprises:

generating corresponding feedback information according to the judging result, wherein the feedback information is used for prompting whether the target relaxation mode is a relaxation mode ordered at the first position;

and sending the feedback information to the server so that the server adjusts the clicked times of the target relaxation mode according to the feedback information.

To achieve the above object, an embodiment of a third aspect of the present application proposes a wearable device, comprising:

the pressure measurement sensor is used for carrying out emotion pressure measurement on the measured object;

The blood pressure measuring sensor is used for measuring the blood pressure of the measured object;

a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of implementing the blood pressure measurement of the embodiment of the first aspect when executing the program.

To achieve the above object, a fourth aspect of the present application provides a mobile terminal, which wirelessly communicates with a wearable device, including:

a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the method for implementing blood pressure measurement according to the embodiment of the second aspect when executing the program.

To achieve the above object, a fifth aspect of the present application provides a computer-readable storage medium having a computer program stored thereon, wherein the program when executed by a processor implements the method for implementing blood pressure measurement set forth in the first aspect, or the method for implementing blood pressure measurement set forth in the second aspect.

The technical scheme provided by the embodiment of the application at least has the following beneficial effects:

According to the embodiment of the application, the wearable device acquires the emotion pressure value of the detected object, and performs relaxation guide on the detected object under the condition that the emotion pressure value is larger than the preset emotion pressure threshold value until the emotion pressure value of the detected object is smaller than or equal to the preset emotion pressure threshold value again, and then performs blood pressure measurement on the detected object. Therefore, the method judges the measurement condition of the blood pressure according to the emotion pressure value of the measured object obtained by the wearable equipment, and adaptively guides the measured object to relax so as to achieve the condition of effectively measuring the blood pressure, thereby ensuring the accuracy of blood pressure measurement, improving the reliability of measuring the blood pressure by the wearable equipment and improving the user experience.

Additional aspects and advantages of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.

Drawings

FIG. 1 is a flow chart of a method of performing blood pressure measurements according to one embodiment of the application;

FIG. 2 is a block schematic diagram of an apparatus for performing blood pressure measurements according to one embodiment of the application;

FIG. 3 is a flow chart of a method of performing blood pressure measurements according to another embodiment of the application;

FIG. 4 is a block schematic diagram of an apparatus for performing blood pressure measurements according to another embodiment of the present application;

fig. 5 is a block diagram illustrating an example of a system for detecting one or more of a health condition, a sports condition, a sleep condition, or a combination thereof.

Detailed Description

Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present application and should not be construed as limiting the application.

The method, the wearable device, the mobile terminal and the computer-readable storage medium for realizing blood pressure measurement according to the embodiments of the present application are described below with reference to the accompanying drawings.

Blood pressure is an important vital sign index, and blood pressure measurement methods are divided into two types, namely a direct method and an indirect method. The direct method is high in blood pressure measurement accuracy, but a percutaneous catheter is required to be placed in a blood vessel during measurement, so that the method is a traumatic method and is not suitable for the needs of most people for daily blood pressure measurement; the indirect method has low accuracy of measuring blood pressure, but is simple, convenient and noninvasive, and is a blood pressure measurement method commonly used in clinic, and there are many methods such as a Korotkoff sound method (auscultation method), an ultrasonic method, a vibration method, a double cuff method and the like.

The koch method (auscultation method) is an indirect method commonly adopted in clinical manual blood pressure measurement, and the measurement accuracy of manual auscultation is limited by human hearing and deflation speed. Electronic blood pressure meters based on the Korotkoff sound method have long appeared, with stethoscopes replaced by electronic sound pickups in the cuffs. The Korotkoff sound method detects sounds transmitted to the body surface by vascular vibration when an artery is incompletely blocked, namely Korotkoff sound. The vibration method detects pressure pulsation, i.e., vibration waves, generated by arterial blood flow in the cuff. The vibration method has certain superiority compared with the Korotkoff sound method.

Currently, there are two general types of blood pressure measurement systems based on vibration methods: one type is a cuff-type sphygmomanometer; another type is a finger cuff type sphygmomanometer. The cuff type sphygmomanometer is characterized in that a pressure sensor is used for detecting an air pressure vibration signal in a cuff, and the cuff can be arranged on an upper arm or a forearm; the finger cuff type sphygmomanometer is used for measuring the volume change of a blood vessel by utilizing a photoelectric technology to acquire vibration waves, and generally adopts the transmission and the reception of infrared light to measure the volume change of an arterial blood vessel at the tail end of a limb such as a fingertip. The two systems based on the vibration method adopt integrated circuits, are both made into portable sphygmomanometers, and can be used for noninvasively measuring blood pressure by using wearable equipment.

Wearable devices are increasingly used to monitor physiological information of users, such as heart rate, blood oxygen level, etc. Many wearable devices record physiological measurements in response to user input, such as a user clicking a button or other interface element of the wearable device to make the measurement.

The measurement conditions have a great influence on the accuracy of blood pressure measurement. Therefore, before starting to measure blood pressure, whether the measurement condition is met or not is judged in advance, and the method is a technical approach for effectively guaranteeing the accuracy of a blood pressure measurement result. The existing blood pressure measurement condition monitoring technology comprises the following steps: and judging whether the user reaches the condition that the blood pressure can be measured or whether the blood pressure measurement result is influenced according to the physical sign data or the feedback data of the user. For example, according to the sign data of the user, the resting time is determined, and the user is prompted to measure the blood pressure after resting, so that the influence of mood fluctuation or movement on the blood pressure measurement result is avoided. For another example, whether the first pulse wave of the user meets the preset pulse wave condition is determined, and whether the first blood pressure range measured under the first posture of the user is within the first normal blood pressure range is determined. For another example, whether the blood pressure measurement result of the subject in the current state is reliable is measured according to the physiological characteristics of the subject, i.e. the pain or the pressure level, wherein the pressure is particularly the pressure in the physical sense.

From this, the related art blood pressure measurement condition monitoring technique has the following two disadvantages:

(1) the influence of emotional stress on the blood pressure measurement results cannot be accurately monitored.

(2) When the measurement condition is not ideal, the user cannot be guided to actively adjust the measurement state so as to achieve the ideal measurement condition.

For the influence of emotion pressure on blood pressure measurement accuracy, medical investigation shows that if emotion pressure is large when a user starts measurement, the measurement result cannot accurately represent blood pressure in a normal state of the user if blood pressure measurement is immediately performed at the moment. For this purpose, the existing solutions mainly have the following ways:

(1) the doctor or seller is told to make himself in a calm and normal state before measurement.

(2) The user is prompted by instructions attached to the blood pressure meter or other device purchased by the user that the measurement conditions should be met.

The above solution cannot enable the user to accurately judge whether the user meets the measurement conditions before the blood pressure measurement, and the user ignores the instruction, does not notice the blood pressure measurement conditions, and further cannot ensure that the user performs measurement under a proper pressure state, so that the possibility of errors in the blood pressure measurement results is caused.

Therefore, according to the embodiment of the application, the measurement condition of the blood pressure is judged according to the emotion pressure value of the measured object obtained by the wearable equipment, and the measured object is adaptively guided to relax to achieve the condition of effectively measuring the blood pressure, so that the accuracy of blood pressure measurement is ensured, the usability and the reliability of the wearable equipment are improved, and the user experience is improved.

Aiming at measuring blood pressure by using blood pressure measuring equipment, a novel blood pressure measuring method is provided, the blood pressure measuring condition is judged according to the emotion pressure value of the measured object obtained by the wearable equipment, and under the condition that the measuring condition is not met, the measured object is self-adaptively conducted with relaxation and guidance so as to achieve the blood pressure measuring condition, thereby ensuring the accuracy of blood pressure measurement, improving the usability and the reliability of the wearable equipment and improving the experience of a user.

FIG. 1 is a flow chart of a method of performing blood pressure measurements in accordance with one embodiment of the present application.

It should be noted that, the method for implementing blood pressure measurement according to the embodiment of the present application may be applied to a wearable device.

As shown in fig. 1, the method for implementing blood pressure measurement according to the embodiment of the application includes the following steps:

S101, obtaining an emotion pressure value of the tested object.

As one possible way of step S101, data such as respiration, sleep, movement state, and the like of the subject are detected by using different sensor devices, and the smooth and continuous degree of respiration, the ratio of the amount of air inhaled and exhaled, and the emotional pressure value representing the subject is obtained from these data.

As another possible way of step S101, since the sweat content in the skin changes when people feel excited or stressed, the skin conductance sensor can be used to monitor the increase or decrease of the skin conductance value due to these changes, so the biosensor can be used to measure the emotional voltage of the measured object, and the emotional voltage is connected to the paired display device through bluetooth, and the emotional pressure value of the measured object is displayed through the display device, so that the emotional pressure value of the measured object can be obtained.

As still another implementation manner of step S101, by monitoring brain waves of the measured object, analyzing brain activities of the measured object according to the brain waves, applying real-time graphical display of brain states, and obtaining and displaying an emotion pressure value of the measured object based on the international universal brain electrical biofeedback training theory, the emotion pressure value of the measured object can be obtained.

As still another possible way of step S101, at least one physiological parameter information of the measured object is obtained, and the at least one physiological parameter information is input into the stress evaluation model, so as to obtain an emotion stress value of the measured object through the stress evaluation model.

In this embodiment, the pressure assessment model includes an input layer, a fusion layer, and a pressure assessment layer, the at least one physiological parameter information including a plurality of physiological parameter information; wherein the plurality of physiological parameter information includes: at least two of brain electrical data, heart rate, body surface temperature, electrocardiographic data, and respiratory rate.

For example, the measured object wears a bracelet capable of measuring and displaying pressure and/or wears a wearable device capable of measuring brain electrical data, and the sensors on the bracelet collect physiological parameter information such as heart rate, sweat, respiratory rate and body surface temperature of the measured object, for example, the heart rate sensor, the skin conductance sensor, the respiratory sensor and the temperature sensor on the bracelet are respectively used for respectively monitoring the heart rate, sweat, respiratory rate and body surface temperature of the user in real time, and the brain electrical data such as brain electrical waves are measured through the wearable device capable of measuring brain electrical data and are sent to the bracelet. And then, calculating to obtain the emotion pressure value of the tested object through a bracelet built-in algorithm.

The specific implementation mode of the built-in algorithm is as follows: the rr interval (the time interval between two adjacent R peaks in the heart rate/electrocardiograph waveform), HRV (Heart Rate Variability ) data (calculated according to the rr interval), sweat, heart rate (calculated according to PPG data), respiratory rate, body surface temperature, electroencephalogram data and the like are taken as input data, EEG (Electro Encephalo Gram, electroencephalogram data) can be input into an input layer as a pressure evaluation standard to obtain respective corresponding expression vectors of various physiological parameter information, the respective corresponding expression vectors of the various physiological parameter information are input into a fusion layer to fuse the respective corresponding expression vectors of the various physiological parameter information through the fusion layer to obtain a fused expression vector, and the fused expression vector is input into the pressure evaluation layer to obtain an emotion pressure value of a tested object.

Considering that the input data can be sequence information, an LSTM (Long Short-Term Memory) model is selected as a stress evaluation model, so that a more accurate emotion stress value of the tested object can be obtained.

S102, under the condition that the emotion pressure value is larger than a preset emotion pressure threshold value, relaxing and guiding the tested object until the emotion pressure value of the tested object is smaller than or equal to the preset emotion pressure threshold value again.

In this embodiment, the ideal blood pressure measurement condition corresponds to a range of emotion pressure values that is less than or equal to a preset emotion pressure threshold value, and if the emotion pressure value is greater than the preset emotion pressure threshold value, it indicates that the emotion pressure of the measured object is greater. Wherein the preset emotional stress threshold is a maximum emotional stress value obtained by medical investigation and suitable for blood pressure measurement. After a measured object starts to measure blood pressure, the wearable device judges the emotion pressure value of the measured object, if the emotion pressure value of the measured object is larger than a preset emotion pressure threshold value, the wearable device can automatically perform relaxation guiding on the measured object, or the wearable device can send an instruction or information for triggering the mobile terminal to perform relaxation guiding on the measured object to the mobile terminal in wireless communication with the wearable device, so that the measured object is guided to perform relaxation guiding until the emotion pressure value of the measured object is detected to be smaller than or equal to the preset emotion pressure threshold value again.

In order to remind the measured object of needing to be relaxed and adjusted, when the emotion pressure value is larger than a preset emotion pressure threshold value, the wearable device outputs prompt information to remind the measured object of needing to be relaxed and adjusted.

S103, blood pressure measurement is carried out on the tested object.

In the step, the wearable device measures blood pressure of the measured object when determining that the emotion pressure value of the measured object is smaller than or equal to a preset emotion pressure threshold value.

In order to prompt that the measured object currently meets the blood pressure measurement condition, the wearable device outputs information for prompting the measured object to perform blood pressure measurement when determining that the emotion pressure value of the measured object is smaller than or equal to a preset emotion pressure threshold value, and performs blood pressure measurement.

Therefore, the blood pressure measuring method provided by the embodiment of the application judges the blood pressure measuring condition according to the emotion pressure value of the measured object obtained by the wearable equipment, and adaptively guides the measured object to relax so as to achieve the condition of effectively measuring the blood pressure, thereby ensuring the accuracy of blood pressure measurement, improving the usability and reliability of the wearable equipment and improving the user experience.

The method for performing relaxation guidance on the tested object comprises the following steps: carrying out loosening guide on the detected object through the wearable equipment; or sending an instruction or information for triggering the mobile terminal to perform loosening guide on the tested object to the mobile terminal in wireless communication with the wearable device through the wearable device, so that the tested object is subjected to loosening guide through the mobile terminal.

The process of relaxing and guiding the object to be tested by the wearable device is described first.

In this embodiment, the wearable device may incorporate multiple relaxation modes.

A number of relaxation modes are first illustrated:

relaxation mode one: the breathing adjustment mode may specifically be a balloon displayed in the display interface of the wearable device, with the balloon alternately dilating and contracting at a relatively gentle cadence (e.g., 15 times per minute).

Relaxation mode two: the focusing mode can specifically show a small ball in the display interface of the wearable device, so that the small ball bounces up and down with a moderate rhythm (such as 60 times per minute).

Relaxation mode three: the music relaxing mode can specifically introduce a music library into the wearable device, and automatically randomly play a piece of more relaxed music (such as 'night piano song').

Relaxation mode four: the video relaxing mode can be used for guiding a video library into the wearable equipment, and acquiring corresponding videos according to the obtained emotion pressure value of the detected object, so that the purpose of timely adjusting the emotion of the detected object is achieved.

Relaxation mode five: the comprehensive relaxation mode can be realized by introducing a music library and a video library into the wearable device, selecting music or videos in the music library or the video library according to heart rate rhythm and emotion pressure values of the tested object based on brain science and music treatment principles, and playing the music or videos.

And how the wearable device can perform loosening guidance on the tested object.

The wearable device outputs a plurality of preset relaxing modes, the plurality of preset relaxing modes are displayed on an interactive interface of the wearable device for the tested object to select, then the target relaxing mode selected from the plurality of preset relaxing modes is obtained, and the tested object is relaxed and guided according to the target relaxing mode. The preset plurality of relaxation modes may be determined by recommendation indexes corresponding to the plurality of relaxation modes, or may be selected by the user according to their own preference, which is not limited in this embodiment.

Specifically, the object to be tested selects one relaxation mode from a plurality of preset relaxation modes (such as relaxation mode one to relaxation mode five) according to own preference, and the selected relaxation mode is used as a target relaxation mode. The wearable device performs relaxation guiding on the detected object by using the target relaxation mode according to the target relaxation mode selected by the detected object, for example, if the target relaxation mode selected by the detected object is a relaxation mode five, the wearable device acquires heart rate and emotion pressure values of the detected object, selects music or video in a music library or a video library according to the heart rate rhythm and emotion pressure values of the detected object, and plays the music or video so as to perform relaxation guiding on the detected object until the emotion pressure value of the detected object is detected to be smaller than or equal to a preset emotion pressure threshold value again.

In order to enable the tested object to select the recommended relaxation mode, the user experience is improved, and before outputting the preset relaxation modes, the wearable device further comprises: and determining recommendation indexes corresponding to the plurality of relaxation modes respectively, and sequencing the plurality of relaxation modes according to the sequence of the recommendation indexes from large to small. Wherein outputting a plurality of preset relaxation modes comprises: outputting the ordered plurality of relaxation modes.

As an implementation manner of determining recommendation indexes corresponding to each of a plurality of relaxation modes by the wearable device, if relaxation guidance is performed by the wearable device, the number of clicked times corresponding to each of the plurality of relaxation modes can be directly obtained from the wearable device locally, that is, the wearable device queries the number of clicked times corresponding to each of the plurality of relaxation modes stored locally, and determines the recommendation indexes corresponding to each of the plurality of relaxation modes according to the number of clicked times.

As another implementation manner of determining the recommendation indexes corresponding to the plurality of relaxation modes by the wearable device, if the relaxation guidance is made by the wearable device, the wearable device obtains the clicked times corresponding to the plurality of relaxation modes from the server through the mobile terminal, namely, the wearable device sends a request for obtaining the clicked times of the plurality of relaxation modes to the server, receives a response including the clicked times corresponding to the plurality of relaxation modes from the server, and then determines the recommendation indexes corresponding to the plurality of relaxation modes according to the clicked times.

As still another implementation manner of determining recommendation indexes corresponding to the plurality of relaxation modes by the wearable device, determining the clicked times corresponding to the plurality of relaxation modes based on the ordering learning model, and determining the recommendation indexes corresponding to the plurality of relaxation modes according to the clicked times.

Specifically, the object to be tested selects a target relaxation mode from the relaxation mode list to perform physical and mental relaxation, at this time, the wearable device feeds back the option of the object to be tested on the target relaxation mode to the sorting learning model (mainly feeds back whether the object to be tested selects the relaxation mode sorted to be the first position here), and the model automatically optimizes learning, so that a relaxation mode sorting list with better effect and higher accuracy (namely, most objects to be tested select the relaxation mode sorted to be the first position) is obtained.

Alternatively, the order learning model uses a ListWise (document list) method, i.e., a list of all relaxation modes to which a query of a measured object corresponds is used as a training instance. And training according to the clicked times corresponding to each of the plurality of relaxation modes to obtain a scoring function F, scoring each relaxation mode by the scoring function F for a new relaxation mode, and then outputting the recommendation index corresponding to each relaxation mode according to the high-low ordering of the scoring sequence.

The order learning model inputs the clicked times of the tested object query relaxation mode as a training example, and an optimal scoring function is trained based on the probability distribution situation of the search result arrangement combination. Using the LambdaRank algorithm: and analyzing the gradient required by sequencing, directly defining the gradient, and multiplying the gradient by the difference value of the IR evaluation index Z after the cross entropy probability loss function gradient and the Ui and Uj positions are exchanged. And training the model to obtain a sorted relaxation mode list, and finally optimizing according to the data fed back by the tested object.

In order to obtain the effective relaxation mode list, the wearable device executes the method, and further comprises: acquiring a relaxation mode ordered in the first position from the ordered plurality of relaxation modes; judging whether the target relaxation mode is the relaxation mode ordered at the first position or not to obtain a judgment result; according to the judgment result, the clicked times of the target relaxation mode are adjusted; or generating corresponding feedback information according to the judging result, wherein the feedback information is used for prompting whether the target relaxation mode is a relaxation mode ordered at the first position; and sending feedback information to the server so that the server adjusts the clicked times of the target relaxation mode according to the feedback information.

Specifically, the wearable device acquires the relaxation mode ordered in the first position from the ordered plurality of relaxation modes, and adds 1 to the number of clicks of the target relaxation mode if the target relaxation mode is not the relaxation mode ordered in the first position, and selectively adds 1 to the number of clicks of the target relaxation mode if the target relaxation mode is the relaxation mode ordered in the first position. Or, in case that the target relaxation mode is not the relaxation mode ordered first, generating feedback information for prompting that the target relaxation mode is not the relaxation mode ordered first, and transmitting the feedback information to the server, so that the server increases the number of times the target relaxation mode is clicked by 1 according to the feedback information, and in case that the target relaxation mode is the relaxation mode ordered first, generating feedback information for prompting that the target relaxation mode is the relaxation mode ordered first, and transmitting the feedback information to the server, so that the server can selectively increase the number of times the target relaxation mode is clicked by 1 according to the feedback information.

The following describes the process of performing loose guidance on the object to be measured by the mobile terminal.

In this embodiment, the mobile terminal may incorporate a plurality of relaxation modes that are preset.

A plurality of preset relaxation modes are illustrated:

relaxation mode one: the breathing adjustment mode may specifically be a balloon displayed on a display interface of the mobile terminal, such that the balloon alternately expands and contracts at a relatively gentle pace (e.g., 15 times per minute).

Relaxation mode two: the focusing mode can specifically show a small ball in the display interface of the mobile terminal, so that the small ball bounces up and down with a moderate rhythm (such as 60 times per minute).

Relaxation mode three: the music relaxing mode can specifically introduce a music library into the mobile terminal to automatically and randomly play a piece of more relaxed music (such as 'night piano song').

Relaxation mode four: the video relaxing mode can specifically lead in a video library in the mobile terminal, and acquire corresponding videos according to the obtained emotion pressure value of the detected object, so that the purpose of timely adjusting the emotion of the detected object is achieved.

Relaxation mode five: the comprehensive relaxation mode can be realized by introducing a music library and a video library into the mobile terminal, selecting music or videos in the music library or the video library according to the heart rate rhythm and emotion pressure value of the tested object based on brain science and music treatment principles, and playing the music or videos.

And then explaining how the mobile terminal can carry out loosening guidance on the tested object.

In this embodiment, the mobile terminal outputs a plurality of preset relaxation modes, and displays the plurality of preset relaxation modes on an interactive interface of the mobile terminal for the tested object to select, and then obtains a target relaxation mode selected from the plurality of preset relaxation modes, and performs relaxation guidance on the tested object according to the target relaxation mode.

Specifically, the object to be tested selects one relaxation mode from a plurality of preset relaxation modes (such as relaxation mode one to relaxation mode five) according to own preference, and the selected relaxation mode is used as a target relaxation mode. The mobile terminal performs relaxation guiding on the detected object by using the target relaxation mode according to the target relaxation mode selected by the detected object, for example, if the target relaxation mode selected by the detected object is a relaxation mode five, the mobile terminal acquires heart rate and emotion pressure values of the detected object, selects music or video in a music library or a video library according to the heart rate rhythm and emotion pressure values of the detected object, and plays the music or video so as to perform relaxation guiding on the detected object until the emotion pressure value of the detected object is smaller than or equal to a preset emotion pressure threshold value again.

In order to enable the tested object to select the recommended relaxation mode, user experience is improved, and before the mobile terminal outputs the preset relaxation modes, the method further comprises the following steps: and determining recommendation indexes corresponding to the plurality of relaxation modes respectively, and sequencing the plurality of relaxation modes according to the sequence of the recommendation indexes from large to small. Wherein outputting a plurality of preset relaxation modes comprises: outputting the ordered plurality of relaxation modes.

As an implementation manner of determining the recommendation indexes corresponding to the plurality of relaxation modes by the mobile terminal, if the relaxation guidance is performed by the mobile terminal, the mobile terminal obtains the clicked times corresponding to the plurality of relaxation modes from the server, and then determines the recommendation indexes corresponding to the plurality of relaxation modes according to the clicked times, that is, the mobile terminal sends a request for obtaining the clicked times of the plurality of relaxation modes to the server, and receives a response including the clicked times corresponding to the plurality of relaxation modes from the server, and then determines the recommendation indexes corresponding to the plurality of relaxation modes according to the clicked times.

As another implementation manner of determining the recommendation indexes corresponding to the plurality of relaxation modes, determining the clicked times corresponding to the plurality of relaxation modes based on the order learning model, and determining the recommendation indexes corresponding to the plurality of relaxation modes according to the clicked times.

Specifically, the tested object selects a target relaxation mode from the relaxation mode list to start physical and mental relaxation, at this time, the mobile terminal feeds back the option of the tested object on the target relaxation mode to the sorting learning model (mainly feeds back whether the tested object selects the relaxation mode sorted to be the first position or not here), and the model automatically optimizes learning, so that a relaxation mode sorting list with better effect and higher accuracy (namely, most tested objects select the relaxation mode sorted to be the first position) is obtained.

In order to obtain the effective relaxed mode list, when the mobile terminal executes the method, the method may further include: acquiring a relaxation mode ordered in the first position from the ordered plurality of relaxation modes; judging whether the target relaxation mode is the relaxation mode ordered at the first position or not to obtain a judgment result; generating corresponding feedback information according to the judging result, wherein the feedback information is used for prompting whether the target relaxation mode is a relaxation mode ordered at the first position; and sending feedback information to the server so that the server adjusts the clicked times of the target relaxation mode according to the feedback information.

Specifically, the mobile terminal acquires a relaxation mode ordered in the first position from the ordered plurality of relaxation modes, generates feedback information for prompting that the target relaxation mode is not the relaxation mode ordered in the first position if the target relaxation mode is not the relaxation mode ordered in the first position, and sends the feedback information to the server, so that the server adds 1 to the clicked times of the target relaxation mode according to the feedback information, and generates feedback information for prompting that the target relaxation mode is the relaxation mode ordered in the first position if the target relaxation mode is the relaxation mode ordered in the first position, and sends the feedback information to the server, so that the server can selectively add 1 to the clicked times of the target relaxation mode according to the feedback information.

In order to reduce the power consumption of the wearable device, after the wearable device enters a target relaxation mode to guide a measured object to carry out relaxation guide, the wearable device still monitors physiological parameter information such as heart rate, sweat, respiratory rate, body surface temperature and the like of the measured object in real time to acquire an emotion pressure value of the measured object, and the wearable device automatically exits the target relaxation mode until the wearable device detects that the emotion pressure value of the measured object is smaller than or equal to a preset emotion pressure threshold value again, and outputs the information for prompting the measured object to end blood pressure measurement. This can reduce the power consumption of the wearable device.

In summary, according to the method for implementing blood pressure measurement in the embodiment of the present application, the emotional stress value of the measured object is obtained through the wearable device, and the measured object is relaxed and guided under the condition that the emotional stress value is greater than the preset emotional stress threshold value, until the emotional stress value of the measured object is obtained again to be less than or equal to the preset emotional stress threshold value, and then the blood pressure of the measured object is measured. Therefore, the method judges the measurement condition of the blood pressure according to the emotion pressure value of the measured object obtained by the wearable equipment, and adaptively guides the measured object to relax so as to achieve the condition of effectively measuring the blood pressure, thereby ensuring the accuracy of blood pressure measurement, improving the reliability of measuring the blood pressure by the wearable equipment and improving the user experience.

Based on the above embodiments, the present application proposes a device for realizing blood pressure measurement.

Fig. 2 is a block schematic diagram of an apparatus for performing blood pressure measurement according to one embodiment of the present application.

It should be noted that, the device for realizing blood pressure measurement according to the embodiment of the present application is applied to a wearable device.

As shown in fig. 2, an apparatus 200 for implementing blood pressure measurement according to an embodiment of the present application includes: a first acquisition module 201, a relaxation guide module 202 and a blood pressure measurement module 203.

Wherein, the first obtaining module 201 is configured to obtain an emotion pressure value of a measured object;

the relaxation guiding module 202 is configured to perform relaxation guiding on the detected object until the emotion pressure value of the detected object is obtained again and is less than or equal to the preset emotion pressure threshold value, under the condition that the emotion pressure value is greater than the preset emotion pressure threshold value;

the blood pressure measurement module 203 is configured to measure blood pressure of a measured object.

According to one embodiment of the present application, the first obtaining module 201 is configured to:

acquiring at least one physiological parameter information of a measured object;

at least one physiological parameter information is input into the stress evaluation model to obtain an emotion stress value of the tested object through the stress evaluation model.

According to one embodiment of the application, the pressure assessment model comprises an input layer, a fusion layer and a pressure assessment layer, and the at least one physiological parameter information comprises a plurality of physiological parameter information;

inputting the physiological parameter information into a stress evaluation model to obtain an emotion stress value of a tested object through the stress evaluation model, wherein the emotion stress value comprises the following steps of:

inputting various physiological parameter information into an input layer to obtain respective corresponding expression vectors of the various physiological parameter information;

inputting the representation vectors corresponding to the physiological parameter information into a fusion layer, so as to fuse the representation vectors corresponding to the physiological parameter information through the fusion layer, and obtain fusion representation vectors;

and inputting the fusion expression vector into a stress evaluation layer to obtain the emotion stress value of the tested object.

Wherein the plurality of physiological parameter information includes: at least two of brain electrical data, heart rate, body surface temperature, electrocardiographic data, and respiratory rate.

According to one embodiment of the application, the relax boot module 202 is configured to:

carrying out loosening guide on the detected object through the wearable equipment;

or sending instructions or information to the mobile terminal in wireless communication with the wearable device through the wearable device, wherein the instructions or information trigger the mobile terminal to perform loosening guidance on the tested object.

outputting a plurality of preset relaxation modes;

acquiring a target relaxation mode selected from a plurality of preset relaxation modes;

and according to the target relaxation mode, carrying out relaxation guiding on the tested object.

According to one embodiment of the present application, the relaxation guide module 202 is further configured to determine recommendation indexes corresponding to the plurality of relaxation modes before outputting the preset plurality of relaxation modes; sequencing the plurality of relaxation modes according to the sequence of the recommendation indexes from large to small; wherein outputting a plurality of preset relaxation modes comprises: outputting the ordered plurality of relaxation modes.

According to one embodiment of the present application, when the relaxation guide module 202 determines the recommendation index corresponding to each of the plurality of relaxation modes, the method includes:

sending a request for acquiring clicked times of a plurality of relaxation modes to a server through a mobile terminal;

According to an embodiment of the present application, the above apparatus further comprises:

the second acquisition module is used for acquiring the relaxation modes ordered at the first position from the ordered plurality of relaxation modes;

the judging module is used for judging whether the target relaxation mode is the relaxation mode ordered at the first position or not so as to obtain a judging result;

the adjusting module is used for adjusting the clicked times of the target relaxation mode according to the judging result; or generating corresponding feedback information according to the judging result, wherein the feedback information is used for prompting whether the target relaxation mode is a relaxation mode ordered at the first position; and sending feedback information to the server so that the server adjusts the clicked times of the target relaxation mode according to the feedback information.

According to one embodiment of the present application, the relaxation guide module 202 is further configured to, before performing relaxation guide on the object under test:

It should be noted that, for details not disclosed in the device for implementing blood pressure measurement applied to the wearable device in the embodiment of the present application, please refer to details disclosed in the method for implementing blood pressure measurement applied to the wearable device in the embodiment of the present application, and detailed descriptions thereof are omitted here.

According to the device for realizing blood pressure measurement, provided by the embodiment of the application, the first acquisition module is used for acquiring the emotion pressure value of the measured object, the relaxation guide module is used for carrying out relaxation guide on the measured object under the condition that the emotion pressure value is larger than the preset emotion pressure threshold value until the emotion pressure value of the measured object is acquired again to be smaller than or equal to the preset emotion pressure threshold value, and the blood pressure measurement module is used for carrying out blood pressure measurement on the measured object. Therefore, the device judges the measurement condition of the blood pressure according to the emotion pressure value of the measured object obtained by the wearable equipment, and adaptively guides the measured object to relax so as to achieve the condition of effectively measuring the blood pressure, thereby ensuring the accuracy of blood pressure measurement, improving the reliability of measuring the blood pressure by the wearable equipment and improving the user experience.

Based on the embodiment, the application further provides the wearable device.

The wearable device of the embodiment of the application comprises:

the system comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the method applied to the wearable device for realizing blood pressure measurement when executing the program.

According to the wearable device, the accuracy of blood pressure measurement can be ensured by executing the method for realizing blood pressure measurement applied to the wearable device, the reliability of measuring blood pressure by the wearable device is improved, and the user experience is improved.

Fig. 3 is a flow chart of a method of performing blood pressure measurements according to another embodiment of the application.

It should be noted that, the method for implementing blood pressure measurement according to the embodiment of the present application is applied to a mobile terminal that wirelessly communicates with a wearable device.

As shown in fig. 3, a method for implementing blood pressure measurement according to an embodiment of the present application includes:

s301, receiving an emotion pressure value of a detected object sent by the wearable device.

S302, under the condition that the emotion pressure value is larger than a preset emotion pressure threshold value, relaxing and guiding the tested object until the emotion pressure value of the tested object is received again to be smaller than or equal to the preset emotion pressure threshold value.

S303, sending prompt information to the wearable device, wherein the prompt information is used for prompting that the measured object can be subjected to blood pressure measurement.

That is, the emotional stress value of the measured object is monitored in real time by the wearable device and transmitted to the mobile terminal. After receiving the emotion pressure value of the detected object sent by the wearable device, the mobile terminal compares the emotion pressure value with a preset emotion pressure threshold value, if the emotion pressure value is larger than the preset emotion pressure threshold value, the detected object is relaxed and guided until the emotion pressure of the detected object is received again and is smaller than or equal to the preset emotion pressure threshold value, and prompt information for prompting that blood pressure measurement can be carried out on the detected object is sent to the wearable device, so that the detected object is prompted to enter a blood pressure measurement process.

According to one embodiment of the present application, performing relaxation guidance on a measured object includes:

outputting a plurality of preset relaxation modes;

According to one embodiment of the application, before outputting the preset plurality of relaxation modes, the method further comprises:

sequencing the plurality of relaxation modes according to the sequence of the recommendation indexes from large to small;

wherein outputting a plurality of preset relaxation modes comprises:

outputting the ordered plurality of relaxation modes.

According to one embodiment of the present application, determining recommendation indexes corresponding to each of a plurality of relaxation modes includes:

sending a request for acquiring the clicked times of a plurality of relaxation modes to a server;

According to one embodiment of the application, the method further comprises:

and sending feedback information to the server so that the server adjusts the clicked times of the target relaxation mode according to the feedback information.

It should be noted that, the method for implementing blood pressure measurement applied to the mobile terminal in wireless communication with the wearable device in the embodiment of the present application is not disclosed, and details disclosed in the method for implementing blood pressure measurement applied to the wearable device in the embodiment of the present application may be referred to, and are not described herein in detail.

According to the method for realizing blood pressure measurement, the mobile terminal receives the emotion pressure value of the detected object sent by the wearable device, and in the case that the emotion pressure value is larger than the preset emotion pressure threshold value, the detected object is relaxed and guided until receiving that the emotion pressure value of the detected object is smaller than or equal to the preset emotion pressure threshold value again, and prompt information for prompting that blood pressure measurement can be carried out on the detected object is sent to the wearable device. According to the method, the mobile terminal judges the measurement condition of the blood pressure according to the emotion pressure value of the measured object obtained by the wearable device, and adaptively guides the measured object to relax so as to achieve the condition of effectively measuring the blood pressure, so that the accuracy of blood pressure measurement is ensured, the reliability of measuring the blood pressure by the wearable device is improved, and the user experience is improved.

Based on the above embodiment, the application also provides a device for realizing blood pressure measurement, which is applied to the mobile terminal.

Fig. 4 is a block schematic diagram of an apparatus for performing blood pressure measurement according to another embodiment of the present application.

It should be noted that, the device for implementing blood pressure measurement according to the embodiment of the present application is applied to a mobile terminal that wirelessly communicates with a wearable device.

As shown in fig. 4, an apparatus 400 for implementing blood pressure measurement according to an embodiment of the present application includes: a receiving module 401, a relax boot module 402 and a first transmitting module 403.

The receiving module 401 is configured to receive an emotion pressure value of a measured object sent by the wearable device;

a relaxation guiding module 402, configured to perform relaxation guiding on the detected object until receiving the detected object again that the emotion pressure value is less than or equal to the preset emotion pressure threshold value, under the condition that the emotion pressure value is greater than the preset emotion pressure threshold value;

the first sending module 403 is configured to send a prompt message to the wearable device, where the prompt message is used to prompt that the measured object can be subjected to blood pressure measurement.

According to one embodiment of the present application, when the relaxation guiding module 402 performs relaxation guiding on the measured object, the method includes:

Outputting a plurality of preset relaxation modes;

According to one embodiment of the present application, the relaxation guide module 402 is further configured to, before outputting the preset plurality of relaxation modes:

wherein the loosening guide module 402 outputs a preset plurality of loosening modes, including:

outputting the ordered plurality of relaxation modes.

According to one embodiment of the present application, when the relaxation guide module 402 determines the recommendation index corresponding to each of the plurality of relaxation modes, the method includes:

According to an embodiment of the present application, the above apparatus further includes:

the acquisition module is used for acquiring the relaxation modes ordered at the first position from the ordered plurality of relaxation modes;

the generation module is used for generating corresponding feedback information according to the judging result, wherein the feedback information is used for prompting whether the target relaxation mode is a relaxation mode ordered at the first position or not;

and the second sending module 403 is configured to send feedback information to the server, so that the server adjusts the clicked times of the target relaxation mode according to the feedback information.

According to one embodiment of the present application, when the relaxation guide module 402 is configured to determine recommendation indexes corresponding to each of the plurality of relaxation modes, the method includes:

It should be noted that, details not disclosed in the device for implementing blood pressure measurement, which is applied to the mobile terminal in wireless communication with the wearable device, refer to details disclosed in the method for implementing blood pressure measurement, which is applied to the mobile terminal in wireless communication with the wearable device, and detailed descriptions thereof are omitted herein.

According to the device for realizing blood pressure measurement, which is disclosed by the embodiment of the application, the receiving module is used for receiving the emotion pressure value of the detected object sent by the wearable device, the relaxing guide module is used for relaxing and guiding the detected object under the condition that the emotion pressure value is larger than the preset emotion pressure threshold value until the emotion pressure value of the detected object is received again and smaller than or equal to the preset emotion pressure threshold value, and the first sending module is used for sending prompt information for prompting that blood pressure measurement can be carried out on the detected object to the wearable device. Therefore, the device judges the measurement condition of the blood pressure according to the emotion pressure value of the measured object obtained by the wearable equipment, and adaptively guides the measured object to relax so as to achieve the condition of effectively measuring the blood pressure, thereby ensuring the accuracy of blood pressure measurement, improving the reliability of measuring the blood pressure by the wearable equipment and improving the user experience.

Based on the embodiment, the application further provides a mobile terminal.

The mobile terminal of the embodiment of the application is in wireless communication with the wearable equipment, and comprises the following steps:

the system comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the method applied to the mobile terminal for realizing blood pressure measurement when executing the program.

The mobile terminal of the embodiment of the application ensures the accuracy of blood pressure measurement, improves the reliability of measuring blood pressure by the wearable equipment, and improves the user experience.

Based on the above embodiments, the present application also proposes a computer-readable storage medium.

The computer readable storage medium of the embodiment of the application stores a computer program, and the program realizes a method for realizing blood pressure measurement applied to a wearable device or a method for realizing blood pressure measurement applied to a mobile terminal when being executed by a processor.

Based on the above embodiments, the present application also proposes a computer program product.

The computer program product of the embodiment of the application executes the method for realizing blood pressure measurement applied to the wearable device or the method for realizing blood pressure measurement applied to the mobile terminal when the instructions in the computer program product are executed by the processor.

For a more detailed description of some implementations, reference is first made to examples of hardware and software structures for implementing the blood pressure measurement method. Fig. 5 is a block diagram illustrating an example of a system 100 for detecting one or more of a health condition, a sports condition, a sleep condition, or a combination thereof. The system 100 includes a wearable device 102, a server device 104, and an intermediary device 106, the intermediary device 106 being an intermediary device of the wearable device 102 and the server device 104.

Wearable device 102 is a computing device configured to be worn by a human user during operation. The wearable device 102 may be implemented as a wristwatch, wristband, bracelet, brace, wristband, armband, leg band, ring, headband, necklace or earphone, or in the form of another wearable device. The wearable device 102 includes one or more sensors 108 for detecting a physiological parameter indicative of a user of the wearable device 102. The sensor 108 may include one or more of a photoplethysmogram (PPG) sensor, an Electrocardiogram (ECG) sensor, an electrode, a pulse pressure sensor, a vascular characteristic sensor, another sensor, or a combination thereof. The physiological parameter refers to one or more physiological parameters of a user of the wearable device. The physiological parameter represents a measurable physiological parameter related to one or more important systems of the body of the user of the wearable device 200 (e.g., the cardiovascular system, the respiratory system, the autonomic nervous system, or another system). For example, the physiological parameter may be one or more of a heart rate, heart rate variability, blood oxygen level, blood pressure, or another physiological parameter of the user of the wearable device 200.

A program 110 is run on the wearable device 102 for processing physiological signal data generated based on the physiological parameters acquired by the sensor 108. Program 110 may be an application program.

A server program 112 runs on the server device 104 to process the computing device of the physiological signal data. The server device 104 may be or include a hardware server (e.g., a server device), a software server (e.g., a web server and/or a virtual server), or both. For example, where the server device 104 is or includes a hardware server, the server device 104 may be a server device located in a rack, such as a rack of a data center.

The server program 112 is software for detecting one or more of a health condition, a movement condition, a sleep condition, or a combination thereof of the user of the wearable device 102 to detect one or more of a health condition, a movement condition, a sleep condition, or a combination thereof of the user of the wearable device 102 using the physiological signal data. For example, the server program 112 may receive physiological signal data from the intermediate device 106, and may then use the received physiological signal data to detect one or more of a health condition, a movement condition, a sleep condition, or a combination thereof, of the user of the wearable device 102. For example, the server program 112 may use the physiological signal data to determine a change in the physiological state of the user and then detect one or more of a health condition, a movement condition, a sleep condition, or a combination thereof, of the user of the wearable device 102 based on the determined change.

The server program 112 may access a database 114 on the server device 104 to perform at least some functions of the server program 112. Database 114 is a database or other data store for storing, managing, or otherwise providing data for delivering the functionality of server program 112. For example, the database 114 may store physiological signal data received by the server device 104, information generated or otherwise determined from the physiological signal data. For example, database 114 may be a relational database management system, an object database, an XML database, a configuration management database, a management information database, one or more flat files, other suitable non-transitory storage mechanisms, or a combination thereof.

The intermediary device 106 is a device for facilitating communication between the wearable device 102 and the server device 104. Specifically, the intermediary device 106 receives data from the wearable device 102 and transmits the received data to the server device 104, e.g., for use by the server program 112. The intermediary device 106 may be a computing device, such as a mobile device (e.g., a smart phone, tablet, notebook, or other mobile device) or other computer (e.g., a desktop computer or other non-mobile computer). Alternatively, the intermediate device 106 may be or include network hardware, such as a router, a switch, a load balancer, another network device, or a combination thereof. As another alternative, the intermediate device 106 may be another network connection device. For example, the intermediate device 106 may be a networked power charger of the wearable device 102.

For example, depending on the particular implementation of the intermediary 106, the intermediary 106 may run the application 118 and the application 118 may be one or more applications installed on the intermediary 106. In some implementations, the application software may be installed on the intermediate device 106 after purchasing the intermediate device 106 by a user of the intermediate device 106 (typically the same person as the user of the wearable device 102, but in some cases may not be the same person as the user of the wearable device 102), or may be preloaded on the intermediate device 106 by a manufacturer of the intermediate device 106 before the intermediate device 106 is shipped. The application 118 configures the intermediate device 106 to send data to the wearable device 102 or receive data from the wearable device 102 and/or to send data to the server device 104 or receive data from the server device 104. The application may receive commands from a user of the intermediate device 106. The application 118 may receive commands from its user through a user interface of the application 118. For example, where the intermediary device 106 is a computing device having a touch screen display, the user of the intermediary device 106 may receive the command by touching a portion of the display corresponding to the user interface element in the application.

For example, the command received by the application 118 from the user of the intermediate device 106 may be a command to transfer physiological signal data received at the intermediate device 106 (e.g., received from the wearable device 102) to the server device 104. The intermediate device 106 transmits physiological signal data to the server device 104 in response to such commands. In another example, the command received by the application 118 from the user of the intermediate device 106 may be a command to review information received from the server device 104, such as information related to one or more of a detected health condition, a movement condition, a sleep condition, or a combination thereof, of the user of the wearable device 102.

In some implementations, the client device is given access to the server program 112. For example, the client device may be a mobile device, such as a smart phone, tablet, notebook, or the like. In another example, the client device may be a desktop computer or another non-mobile computer. The client device may run a client application to communicate with the server program 112. For example, the client application may be a mobile application capable of accessing some or all of the functionality and/or data of the server program 112. For example, a client device may communicate with the server device 104 over the network 116. In some such implementations, the client device may be an intermediary device 106.

In some implementations, the server device 104 may be a virtual server. For example, a virtual server may be implemented using a virtual machine (e.g., a Java virtual machine). The implementation of the virtual machine may use one or more virtual software systems, such as an HTTP server, java servlet container, hypervisor, or other software system. In some such implementations, one or more virtual software systems for implementing the virtual server may instead be implemented in hardware.

In some implementations, the intermediate device 106 receives data from the wearable device 102 using a short-range communication protocol. For example, the short-range communication protocol may be Bluetooth、Bluetooth/>Low energy, infrared, Z wave, zigBee, other protocols, or combinations thereof. The intermediary device 106 transmits the data received from the wearable device 102 to the server device 104 over the network 116. For example, the network 116 may be a local area network, a wide area network, a machine-to-machine network, a virtual private network, or another public or private network. The network 116 may use a telecommunications protocol. For example, the remote communication protocol may be Ethernet, TCP, IP, power line communication, wi-Fi, GPRS, GSM, CDMA, other protocols, or a combination thereof.

The system 100 is for continuously transmitting physiological signal data from a wearable device 102 to a server device 104. The sensor 108 may continuously or otherwise periodically acquire physiological signal data of the user of the wearable device 102 on a frequent basis.

The implementation of the system 100 may differ from that shown and described with respect to fig. 5. In some implementations, the intermediate device 106 may be omitted. For example, wearable device 102 may be configured to communicate directly with server device 104 over network 116. For example, direct communication between wearable device 102 and server device 104 over network 116 may include using a remote, low power system, or another communication mechanism. In some implementations, both the intermediary device 106 and the server device 104 may be omitted. For example, wearable device 102 may be configured to perform the functions described above with respect to server device 104. In such implementations, wearable device 102 may process and store data independent of other computing devices.

In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.

Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a 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 at least one such feature. In the description of the present application, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.

Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order from that shown or discussed, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.

Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.

It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.

Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.

The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. While embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.

Claims

1. A method of enabling blood pressure measurement, characterized by being applied to a wearable device, the method comprising:

acquiring an emotion pressure value of a measured object;

and measuring the blood pressure of the tested object.

2. The method of claim 1, wherein the obtaining the emotional stress value of the subject comprises:

3. The method of claim 2, wherein the pressure assessment model comprises an input layer, a fusion layer, and a pressure assessment layer, the at least one physiological parameter information comprising a plurality of physiological parameter information;

4. The method of claim 3, wherein the plurality of physiological parameter information comprises: at least two of brain electrical data, heart rate, body surface temperature, electrocardiographic data, and respiratory rate.

5. The method of claim 1, wherein the performing a relaxation guide on the subject comprises:

The wearable device performs loosening guide on the detected object;

6. The method of claim 5, wherein said performing a relaxation guide on said subject comprises:

outputting a plurality of preset relaxation modes;

7. The method of claim 6, wherein prior to said outputting the preset plurality of relaxation modes, the method further comprises:

wherein the outputting the preset plurality of relaxation modes includes:

outputting the ordered plurality of relaxation modes.

8. The method of claim 7, wherein the determining recommendation indices for each of the plurality of relaxation modes comprises:

9. The method of claim 7, wherein the determining recommendation indices for each of the plurality of relaxation modes comprises:

10. The method of claim 8, wherein the method further comprises:

11. The method of claim 7, wherein the determining recommendation indices for each of the plurality of relaxation modes comprises:

12. The method of any of claims 1-9, wherein prior to said relaxing guidance of the subject, the method further comprises:

13. A method of enabling blood pressure measurement, applied to a mobile terminal in wireless communication with a wearable device, the method comprising:

14. The method of claim 13, wherein the performing a relaxation guide on the subject comprises:

outputting a plurality of preset relaxation modes;

15. The method of claim 14, wherein prior to the outputting the preset plurality of relaxation modes, the method further comprises:

wherein the outputting the preset plurality of relaxation modes includes:

outputting the ordered plurality of relaxation modes.

16. The method of claim 15, wherein the determining recommendation indices for each of the plurality of relaxation modes comprises:

17. The method of claim 16, wherein the method further comprises:

18. The method of claim 15, wherein the determining recommendation indices for each of the plurality of relaxation modes comprises:

19. A wearable device, comprising:

memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of implementing blood pressure measurement according to any of claims 1-12 when executing the program.

20. A mobile terminal in wireless communication with a wearable device, comprising:

memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of implementing blood pressure measurement according to any of claims 13-18 when executing the program.

21. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements a method of performing a blood pressure measurement according to any one of claims 1-12, or a method of performing a blood pressure measurement according to any one of claims 13-18.