A family-oriented intelligent blood pressure detection method, device, equipment and medium

Abstract

The present application relates to the field of blood pressure monitoring, and in particular to a family-oriented intelligent blood pressure detection method, device, equipment and medium. The method includes: the present application realizes accurate positioning of a specific group by receiving the identity of the person to be measured and confirming whether the person is a person suffering from the target disease. Once the identity of the person is confirmed to be the target identity, the infrared sensor and the blood pressure measuring instrument are automatically started, and the measurement can be started without manual intervention. Combined with the infrared data, the position of the measuring arm of the person to be measured is determined, and combined with the position of the measuring arm of the person to be measured and the measured blood pressure value, the health status of the person to be measured is comprehensively evaluated. This multi-dimensional and comprehensive evaluation method can more comprehensively and accurately reflect the health status of the individual, and help to improve the accuracy of determining the health status of the measured person based on the blood pressure reading.

Description

Technical Field

[0001] The present application relates to the field of blood pressure monitoring, and in particular to a family-oriented intelligent blood pressure detection method, device, equipment and medium. Background Art

[0002] With the increasing popularity of medical knowledge and the widespread penetration of the market for portable medical monitoring devices, many families have purchased health monitoring devices such as blood glucose meters and blood pressure monitors to achieve convenient health monitoring within the family. This trend not only allows family members to easily record each other's vital signs, but also promotes the ability to grasp personal health status in real time, thereby prompting people to adjust their lifestyles and optimize drug management strategies based on data fluctuations.

[0003] In particular, portable home blood pressure monitors have become a common tool for patients with hypertension, those with a family predisposition to hypertension, and even those who pursue a healthy lifestyle. However, in daily use, a common problem is improper operation, especially inaccurate arm position during measurement - placement too high or too low can significantly affect the accuracy of blood pressure readings. For individuals with existing vascular lesions or other special health conditions, this position difference has a particularly significant impact on blood pressure measurement results, resulting in the measured blood pressure reading not being able to be used as the current blood pressure value of the person being measured, and also reducing the accuracy of the health status of the person being measured as determined by the blood pressure reading. Summary of the invention

[0004] In order to improve the accuracy of determining the health status of a measured person based on blood pressure readings, the present application provides a family-oriented intelligent blood pressure detection method, device, equipment and medium.

[0005] In the first aspect, the present application provides a family-oriented intelligent blood pressure detection method, which adopts the following technical solutions:

[0006] A family-oriented intelligent blood pressure detection method, the method is applied to an automatic armband blood pressure meter equipped with an infrared sensor, comprising:

[0007] receiving the identity of the person to be measured;

[0008] Determining whether the person identity is a target person identity, and whether the disease corresponding to the target person identity includes a target disease;

[0009] If the identity of the person is the identity of the target person, the infrared sensor and the blood pressure measuring instrument are controlled to turn on, and infrared data and the blood pressure value of the person are received;

[0010] Based on the infrared data, determining the measuring arm position corresponding to the person to be measured;

[0011] Based on the measuring arm position and the person's blood pressure value, the health status of the person to be measured is determined, and the health status is healthy or unhealthy.

[0012] By adopting the above technical solution, the identity of the person to be measured is received, and it is confirmed whether he or she is the target person (i.e., a person who may suffer from the target disease), thereby achieving precise positioning of a specific group. Once the identity of the person is confirmed to be the target identity, the infrared sensor and the blood pressure measuring instrument are automatically started, and measurement can begin without human intervention. Combined with the infrared data, the measuring arm position of the person to be measured is determined, and combined with the measuring arm position of the person to be measured and the measured blood pressure value, the health status of the person to be measured is comprehensively evaluated. This multi-dimensional and comprehensive evaluation method can more comprehensively and accurately reflect the health status of the individual, and help improve the accuracy of determining the health status of the measured person based on the blood pressure reading.

[0013] In a possible implementation, the infrared data includes a propagation speed and a propagation duration, and determining the measuring arm position corresponding to the person to be measured based on the infrared data includes:

[0014] Fitting the arm surface curve of the person to be measured based on the propagation speed and the propagation duration;

[0015] Based on the arm surface curve, a measuring arm position corresponding to the person to be measured is determined.

[0016] By adopting the above technical solution, traditional arm position positioning may rely on visual judgment or manual indication, which is often affected by factors such as ambient light, obstructions and personal habits. Fitting the arm surface curve through the propagation speed and duration of infrared data can more accurately reflect the three-dimensional shape and position of the arm, thereby improving the accuracy of operations such as blood pressure measurement.

[0017] In a possible implementation, fitting the arm surface curve of the person to be measured based on the propagation speed and the propagation duration includes:

[0018] Acquiring a target distance between the infrared sensor and the blood pressure measuring instrument;

[0019] Calculate the target propagation time corresponding to the target distance;

[0020] Determine the propagation time other than the target propagation time as the measured propagation time;

[0021] Get the infrared sending position corresponding to each measured propagation duration;

[0022] Determine a plurality of arm surface coordinates on the arm of the person to be measured based on the infrared transmission position corresponding to each measured propagation duration, each measured propagation duration, and the propagation speed;

[0023] Based on the multiple arm surface coordinates, the arm surface curve of the person to be measured is fitted.

[0024] By adopting the above technical solution, the infrared transmission position corresponding to each measured propagation time is calculated, and multiple surface coordinates on the arm are determined by combining the propagation speed and propagation time, so as to more accurately capture the contour and shape of the arm. Based on these precise data points, the fitted arm surface curve is closer to reality, thereby improving the accuracy of measuring the arm position. At the same time, since the shape and size of the arm vary from person to person, the traditional fixed size or fixed position measurement method is often difficult to adapt to all individuals. This method can automatically adapt to arms of different shapes and sizes by dynamically acquiring multiple arm surface coordinates and fitting curves, thereby improving the universality and adaptability of the measurement.

[0025] In a possible implementation, based on the infrared transmission position corresponding to each measured propagation duration, each measured propagation duration, and the propagation speed, a plurality of arm surface coordinates on the arm of the person to be measured are determined, including:

[0026] Obtain the horizontal coordinate of the infrared transmission position corresponding to each measured propagation duration, and use the horizontal coordinate corresponding to the infrared transmission position corresponding to the measured propagation duration as the horizontal coordinate of the corresponding arm surface coordinate to obtain the horizontal coordinate of each arm surface coordinate;

[0027] Based on each measured propagation time and measured propagation speed, the ordinate of each arm surface coordinate is calculated;

[0028] Determine the vertical coordinate of each arm surface coordinate;

[0029] Based on the horizontal coordinate, the vertical coordinate and the vertical coordinate of each arm surface coordinate, multiple arm surface coordinates on the arm of the person to be measured are determined.

[0030] By adopting the above technical solution, by combining the horizontal coordinate of the infrared sending position with the vertical coordinate calculated by the propagation speed and propagation time, multiple three-dimensional coordinates on the arm can be accurately located. Since the curve is generated based on multiple precisely measured three-dimensional coordinates, the fitting accuracy of the arm surface curve is improved, which helps to more accurately reflect the true shape and position of the arm, providing a reliable data basis for subsequent health assessments.

[0031] In a possible implementation, determining the measuring arm position corresponding to the person to be measured based on the arm surface curve includes:

[0032] identifying the location of the antecubital fossa of the upper arm in the arm surface curve;

[0033] Determine the measuring distance between the upper arm cubital fossa position and the blood pressure measuring instrument;

[0034] Based on the upper arm cubital fossa position and the measurement distance, the measurement arm position corresponding to the person to be measured is determined.

[0035] By adopting the above technical scheme, the standard position of blood pressure measurement can be identified by accurately identifying the position of the upper arm elbow fossa in the arm surface curve, and the measuring arm position of the person to be measured is determined based on the upper arm elbow fossa position, thereby improving the accuracy of the determined measuring arm position corresponding to the person to be measured. At the same time, determining the measuring arm position of the person to be measured based on the upper arm elbow fossa position also helps to compare the measuring arm position with the upper arm elbow fossa position to obtain the position difference between the two positions.

[0036] In a possible implementation, determining the health status of the person to be measured based on the measuring arm position and the person's blood pressure value includes:

[0037] Acquire historical data corresponding to the identity of the person, the historical data including historical blood pressure values, historical measurement arm positions corresponding to the historical blood pressure values, and historical symptoms, the historical symptoms including at least one of normal, dizziness, headache, and palpitations;

[0038] Based on the historical data, predict the healthy blood pressure value range corresponding to the measuring arm position of the person to be measured;

[0039] Determining whether the blood pressure value of the person falls within the healthy blood pressure value range;

[0040] If the blood pressure value of the person falls within the healthy blood pressure value range, determining that the health status of the person to be measured is healthy;

[0041] If the blood pressure value of the person does not belong to the healthy blood pressure value range, it is determined that the health status of the person to be measured is unhealthy.

[0042] By adopting the above technical solution, by combining the historical data of the person to be measured (including historical blood pressure values, historical measurement arm positions, and historical symptoms), a more personalized prediction of the healthy blood pressure range can be made. Since each person's physical condition and blood pressure response may be different, the traditional unified standard may not accurately reflect each person's actual situation. Through the analysis of historical data, this solution can more accurately capture the differences between individuals, thereby providing a more accurate blood pressure health assessment. When the current blood pressure value of the person to be measured does not fall within the predicted healthy blood pressure value range, his or her health status is judged to be unhealthy, and may be accompanied by predictions or prompts of related symptoms (such as dizziness, headache, palpitations, etc.), which is of great significance for preventing the occurrence of serious health events.

[0043] In a possible implementation, based on the historical data, predicting a healthy blood pressure value range corresponding to the measuring arm position corresponding to the person to be measured includes:

[0044] Obtaining basic information and disease information corresponding to the identity of the person, wherein the basic information is used to characterize the personal attributes of the person to be measured;

[0045] Determine a first healthy blood pressure value range corresponding to the basic information and a second healthy blood pressure value range corresponding to the disease information;

[0046] Filtering out a historical measurement arm position consistent with the measurement arm position from the historical data as a first historical measurement arm position, and filtering out a historical measurement arm position whose corresponding historical symptoms do not include normal from the first historical measurement arm position as a second historical measurement arm position;

[0047] Determine a third healthy blood pressure value range based on the historical blood pressure values ​​corresponding to each of the second historical measured arm positions;

[0048] Based on the first healthy blood pressure value range, the second healthy blood pressure value range and the third healthy blood pressure value range, the healthy blood pressure value range corresponding to the measuring arm position corresponding to the person to be measured is predicted.

[0049] By adopting the above technical scheme, not only the basic information of the person to be measured (such as personal attributes such as age, gender, weight, etc.) is taken into consideration, but also the disease information is comprehensively considered, so that the predicted healthy blood pressure value range is closer to the actual situation of the individual, which is helpful to better guide the person to be measured to carry out daily health management and monitoring. At the same time, historical data is accurately screened, especially the historical measurement arm position (i.e., the second historical measurement arm position) that is consistent with the current measurement arm position and the historical symptoms do not include normal ones, to determine a more accurate third healthy blood pressure value range, so that the predicted range is more focused on possible health problems, thereby improving the accuracy of the prediction. At the same time, the first healthy blood pressure value range, the second healthy blood pressure value range and the third healthy blood pressure value range are comprehensively considered to further refine and optimize the predicted healthy blood pressure value range.

[0050] In the second aspect, the present application provides a family-oriented intelligent blood pressure detection device, which adopts the following technical solution:

[0051] A family-oriented intelligent blood pressure detection device, comprising:

[0052] An identification module, used for receiving the identity of the person to be measured;

[0053] An identity determination module, used to determine whether the person identity is a target person identity, and the disease corresponding to the target person identity includes a target disease;

[0054] A control module, for controlling the infrared sensor and the blood pressure measuring instrument to turn on and receive infrared data and the blood pressure value of the person if the person's identity is the target person's identity;

[0055] A position determination module, used to determine the position of the measuring arm corresponding to the person to be measured based on the infrared data;

[0056] The status determination module is used to determine the health status of the person to be measured based on the measurement arm position and the blood pressure value of the person, and the health status is healthy or unhealthy.

[0057] In a third aspect, the present application provides an electronic device, which adopts the following technical solution:

[0058] An electronic device, comprising:

[0059] at least one processor;

[0060] Memory;

[0061] At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the family-oriented smart blood pressure detection method described in the first aspect above.

[0062] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0063] A computer-readable storage medium includes: a computer program that can be loaded by a processor and execute the home-oriented intelligent blood pressure detection method described in the first aspect.

[0064] To summarize, the present application includes the following beneficial technical effects: by receiving the identity of the person to be measured and confirming whether he or she is the target person (i.e., a person who may suffer from the target disease), accurate positioning of a specific group is achieved; once the identity of the person is confirmed to be the target identity, the infrared sensor and the blood pressure measuring instrument are automatically started, and measurement can begin without human intervention; combined with the infrared data, the measuring arm position of the person to be measured is determined; combined with the measuring arm position of the person to be measured and the measured blood pressure value, the health status of the person to be measured is comprehensively evaluated; this multi-dimensional, comprehensive evaluation method can more comprehensively and accurately reflect the health status of the individual, and help improve the accuracy of determining the health status of the measured person based on the blood pressure reading. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 This is a schematic diagram of an application scenario provided by an embodiment of the present application;

[0066] Figure 2 It is a flowchart of a family-oriented intelligent blood pressure detection method provided in an embodiment of the present application;

[0067] Figure 3 It is a block diagram of a family-oriented intelligent blood pressure detection device provided in an embodiment of the present application;

[0068] Figure 4 It is a schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0069] The following is combined with Figure 1 -Attached Figure 4 This application is described in further detail.

[0070] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0071] The embodiment of the present application provides a family-oriented intelligent blood pressure detection method, which is applied to an automatic armband blood pressure monitor. The automatic armband blood pressure monitor has the function of automatically contracting the tightness of the cuff, can intelligently identify the size of the user's upper arm, and can automatically adjust the tightness of the cuff according to the size of the user's upper arm and measure the blood pressure value. After the measurement, the automatic armband blood pressure monitor can send the measured blood pressure value and heart rate data to the electronic device and display it on its own screen. Furthermore, the automatic armband blood pressure monitor also has an identity recognition function. A face recognition module and a fingerprint recognition module are installed on the automatic armband blood pressure monitor, and the measurement person can be identified by any of the two recognition models. At the same time, an infrared sensor is installed on the automatic armband blood pressure monitor, and the length of the infrared sensor is consistent with the dimension of the upper half of the entrance of the automatic armband blood pressure monitor, wherein the entrance of the automatic armband blood pressure monitor is the entrance where the measurement person extends his arm into the automatic armband blood pressure monitor. The infrared sensor can receive the start and close signals of the electronic device, and can also send the measured infrared data to the electronic device. See Figure 1 The electronic device is connected to the automatic armband blood pressure monitor and the infrared sensor respectively. The infrared sensor is located on the automatic armband blood pressure monitor. The electronic device can control the opening and closing of the automatic armband blood pressure monitor. At the same time, the electronic device can control the automatic armband blood pressure monitor to identify people. The electronic device can also input the identity information of the measured person, thereby eliminating the process of personnel identification.

[0072] The present application embodiment provides a family-oriented intelligent blood pressure detection method, such as Figure 2 As shown, the method provided in the embodiment of the present application is executed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiment of the present application. The method includes steps S201 to S205, wherein:

[0073] Step S201: receiving the identity of a person to be measured.

[0074] Before the automatic armband blood pressure monitor (hereinafter referred to as the blood pressure monitor) is used to measure blood pressure for the first time, that is, when the automatic armband blood pressure monitor is turned on for the first time after leaving the factory, a reminder will be given to enter the identity of the person, so as to enter the faces and fingerprints of the family members in the family, and store the basic information (gender, age, weight, height, etc.) and disease information (high blood sugar, high blood pressure, etc.) of each family member. An identity name will be assigned to each family member, such as father, mother, son, grandfather, grandmother, etc., or Little A, Little B, Little C, etc., so as to facilitate the subsequent storage and display of the blood pressure values ​​measured by each person each time.

[0075] When the blood pressure measuring instrument is turned on, the identity recognition module is automatically turned on or the electronic device controls the blood pressure measuring instrument to turn on the identity recognition module to identify the person to be measured, so that the electronic device receives the identity of the person to be measured. The identity of the person can be dad or little B.

[0076] Step S202: Determine whether the person's identity is the target person's identity.

[0077] The diseases corresponding to the target person's identity include target diseases, which may include diseases that affect blood pressure measurement, such as blood pressure lesions and heart diseases.

[0078] After the electronic device receives the identity of the person detected by the blood pressure monitor, it obtains the disease information corresponding to the identity of the person, and compares the diseases contained in the disease information corresponding to the identity of the person with the target disease to determine whether the diseases contained in the disease information are the same as any of the target diseases, that is, each disease contained in the disease information is compared with each disease in the target disease to determine whether the same disease exists, so as to determine whether the identity of the person is the target person identity.

[0079] Step S203: If the identity of the person is the target person, the infrared sensor and the blood pressure measuring instrument are controlled to turn on, and infrared data and the person's blood pressure value are received.

[0080] If the identity of the person is the identity of the target person, it means that the blood pressure measurement position of the person to be measured has a greater impact on the measured blood pressure value. Therefore, the infrared sensor can be controlled to turn on. When the person to be measured puts his arm into the blood pressure measuring instrument, the infrared light transmitted by the infrared sensor will be affected, so as to determine the arm position of the person to be measured according to the infrared data corresponding to the infrared sensor. Specifically, the electronic device controls the infrared sensor to turn on, and controls the blood pressure measuring instrument to turn on, so that after the person to be measured puts his arm into the blood pressure measuring instrument, the infrared sensor acquires infrared data in real time after being turned on, and the blood pressure measuring instrument starts the blood pressure detection work. After the blood pressure measuring instrument completes the detection and measures the blood pressure value, the infrared sensor sends the measured infrared data to the electronic device. At the same time, the blood pressure measuring instrument sends the measured blood pressure value and other data to the electronic device and displays them on its own display screen.

[0081] Furthermore, since it is more likely that older people or younger people will not be able to use the blood pressure measuring instrument, and the position of the arm when measuring blood pressure is more likely to cause problems, it is possible to determine whether the infrared sensor needs to be turned on based on the age of the person to be measured. Specifically, if the identity of the person is not the identity of the target person, the age corresponding to the identity of the person is obtained, and it is determined whether the age of the identity of the person is greater than the first age threshold, or less than the second age threshold. If the age of the identity of the person is greater than the first age threshold or less than the second age threshold, the infrared sensor is controlled to be turned on; if the age of the identity of the person is not greater than the first age threshold and not less than the second age threshold, the infrared sensor is not controlled to be turned on, and only the blood pressure measuring instrument is controlled to be turned on. Among them, the first age threshold is greater than the second age threshold.

[0082] Furthermore, if the identity of the person is a person with a mark, the infrared sensor is controlled to turn on.

[0083] Step S204: Determine the measuring arm position corresponding to the person to be measured based on the infrared data.

[0084] The infrared data includes horizontal displacement, where the horizontal displacement is the horizontal displacement of the arm corresponding to a round trip from the emission to the reflection of an infrared ray. The infrared sensor includes an infrared transmitter and a receiver, and a position sensitive detector (PSD) is configured inside the receiver. The PSD can output a corresponding electrical signal according to the position of the light spot on its surface, so the PSD can be used to measure the position of the reflected light spot on the receiver surface.

[0085] When using an infrared sensor in the vertical direction, although the main axis of the sensor is vertical, the distance of an object moving in the horizontal direction can be indirectly measured through adjustment and calculation. Specifically, when the arm of the person to be measured moves in the horizontal direction, the infrared signal reflected back will cause a displacement on the receiver inside the sensor. This displacement has a certain proportional relationship with the horizontal movement distance of the arm of the person to be measured. By measuring this displacement, the horizontal movement distance of the arm of the person to be measured can be calculated. Specifically, when the arm of the person to be measured moves in the horizontal direction, the reflected infrared light will form a light spot on the PSD, and the position of the light spot will change with the movement of the arm of the person to be measured. By analyzing the electrical signal output by the PSD, the specific position of the light spot on the PSD surface can be determined. Then, according to the proportional relationship between the pre-calibrated PSD position and the horizontal movement distance, the displacement of the light spot can be converted into the horizontal movement distance of the arm of the person to be measured. Therefore, after receiving the infrared data sent by the infrared sensor, the electronic device calculates the average value of the sum of the horizontal movement displacements measured by multiple infrared rays emitted from the same position as the arm extension distance corresponding to the person to be measured, obtains the distance between the measurement position and the entrance position in the blood pressure measuring instrument, and calculates the difference between the arm extension distance and the distance between the measurement position and the entrance position as the measurement arm position corresponding to the person to be measured. By way of example, the measurement arm position can be 21 cm.

[0086] Step S205: Determine the health status of the person to be measured based on the measured arm position and the person's blood pressure value.

[0087] Among them, the health status is healthy or unhealthy.

[0088] After obtaining the measurement arm position corresponding to the person to be measured, the historical blood pressure corresponding to the person's identity and the historical measurement arm position corresponding to each historical blood pressure are obtained, and the historical measurement arm position consistent with the current measurement arm position is selected from multiple historical measurement arm positions as the selected historical measurement arm position, and the blood pressure labeled as normal is selected from the historical measurement blood pressure corresponding to the historical measurement position as the selected historical measurement blood pressure, and the selected historical measurement blood pressure is used as the blood pressure range, that is, a maximum value and a minimum value are selected from the selected historical measurement blood pressure, and the range between the maximum value and the minimum value is used as the blood pressure range, and it is determined whether the blood pressure value of the person measured this time is within the blood pressure range. If the blood pressure value of the person measured this time is within the blood pressure range, the health status of the person to be measured is determined to be healthy; if the blood pressure value of the person measured this time is not within the blood pressure range, the health status of the person to be measured is determined to be unhealthy. After each measurement is completed, each measured blood pressure value is marked with a label, and the label is normal or abnormal.

[0089] If there is no historical data for the measurement arm position corresponding to the person to be measured, or the number of historical measurement arm positions that are consistent with the current measurement arm position is less than the preset number, the person to be measured is reminded to remeasure, and the blood pressure value of the person measured before the remeasurement is marked according to the result of the remeasurement. That is, if the result of the remeasurement is normal, the label used to mark the blood pressure value of the person measured before the remeasurement is normal; if the result of the remeasurement is abnormal, the label used to mark the blood pressure value of the person measured before the remeasurement is abnormal.

[0090] The embodiment of the present application provides a family-oriented intelligent blood pressure detection method, which realizes accurate positioning of a specific group by receiving the identity of the person to be measured and confirming whether the person is a person suffering from the target disease. Once the identity of the person is confirmed to be the target identity, the infrared sensor and the blood pressure measuring instrument are automatically started, and the measurement can be started without human intervention. The measuring arm position of the person to be measured is determined in combination with the infrared data, and the health status of the person to be measured is comprehensively evaluated in combination with the measuring arm position of the person to be measured and the measured blood pressure value. This multi-dimensional and comprehensive evaluation method can more comprehensively and accurately reflect the health status of the individual, and help to improve the accuracy of determining the health status of the measured person based on the blood pressure reading.

[0091] A possible implementation of the embodiment of the present application, in the above step S204, when the infrared data includes the propagation speed and the propagation duration, determining the measuring arm position corresponding to the person to be measured based on the infrared data includes:

[0092] Fit the arm surface curve of the person to be measured based on the propagation speed and propagation time;

[0093] Based on the arm surface curve, the measuring arm position corresponding to the person to be measured is determined.

[0094] The propagation speed includes the propagation speed during the infrared emission process and the propagation speed during the reflection process, and the propagation time includes the propagation time during the infrared emission process and the propagation time during the emission process. The infrared data may also include horizontal displacement, wherein the horizontal displacement is the horizontal displacement of the arm corresponding to a round trip from the emission to the reflection of an infrared ray.

[0095] After obtaining the infrared data, the vertical distance of each infrared ray propagation is calculated based on the propagation time and propagation speed of the infrared ray. The first distance and the second distance of each scan are obtained based on the position where each infrared ray is sent and the horizontal movement position corresponding to each infrared ray propagation. Combined with the position where each infrared ray is sent, the three-dimensional point cloud data of the arm surface is constructed. Furthermore, the point cloud is segmented to distinguish different parts of the arm (such as the upper arm, forearm, etc.), and then the least squares method is used to perform curve fitting on the three-dimensional point cloud data to obtain the arm surface curve that can describe the shape of the arm surface.

[0096] Furthermore, the sphygmomanometer measures the pulsation of the brachial artery in the upper arm, and the specific position is about 2.5 cm above the elbow fossa of the upper arm, that is, the key position point on the arm can be the elbow fossa of the upper arm. Therefore, the elbow fossa of the upper arm can be identified on the arm surface curve at the fitting position to obtain the measured arm position. Specifically, on the fitted arm surface curve, the position point where the arm width is the widest and there is a certain depression on the upper surface is identified as the elbow fossa of the upper arm on the arm surface curve, and the measurement position in the blood pressure measuring instrument is obtained, and the distance between the measurement position and the elbow fossa of the upper arm is calculated to obtain the measurement arm position of the person to be measured. Exemplarily, the side face arm position can be 3 cm above the elbow fossa of the upper arm.

[0097] A possible implementation of the embodiment of the present application, in the above embodiment, fitting the arm surface curve of the person to be measured based on the propagation speed and the propagation time includes:

[0098] Get the target distance between the infrared sensor and the blood pressure measuring instrument;

[0099] Calculate the target propagation time corresponding to the target distance;

[0100] Determine the propagation time other than the target propagation time as the measured propagation time;

[0101] Get the infrared sending position corresponding to each measured propagation duration;

[0102] Determine multiple arm surface coordinates on the arm of the person to be measured based on the infrared transmission position corresponding to each measured propagation time, each measured propagation time, and the propagation speed;

[0103] Based on multiple arm surface coordinates, the arm surface curve of the person to be measured is fitted.

[0104] Since the arm of the person to be measured may not enter the blood pressure measuring instrument when the infrared sensor is turned on, the infrared data measured by the infrared sensor at this time is obtained by the reflection of infrared rays between the infrared sensor and the blood pressure measuring instrument. Therefore, the effective measurement propagation time can be screened out from the recorded infrared data. Specifically, the vertical distance between each infrared emission position on the infrared sensor and the blood pressure measuring instrument is obtained to obtain the target distance between the infrared sensor and the blood pressure measuring instrument, and then the propagation time corresponding to each vertical distance is calculated based on the propagation speed of infrared rays to obtain the target propagation time. Then, the propagation time in the infrared data minus the target propagation time is used as the measured propagation time to obtain the effective time data corresponding to the arm surface.

[0105] Furthermore, for each effective measured propagation time, the actual distance of the infrared light from the sensor to the arm surface is calculated using the formula d=v*t / 2, where d is the distance, v is the propagation speed, and t is the propagation time. Combining the sending position of the infrared light (which can be regarded as a point in three-dimensional space) and the calculated distance, the coordinates of the arm surface at that position are determined using the distance formula in three-dimensional space, and the above process is repeated until the coordinates of multiple positions on the arm surface are obtained.

[0106] Furthermore, all the obtained arm surface coordinate points are sorted to form a point set, and the point set is fitted using mathematical curve fitting techniques (such as least squares method, spline curve, Bezier curve, etc.) to generate a smooth arm surface curve.

[0107] A possible implementation of the embodiment of the present application, in the above embodiment, based on the infrared transmission position corresponding to each measured propagation duration, each measured propagation duration and the propagation speed, a plurality of arm surface coordinates on the arm of the person to be measured are determined, including:

[0108] Obtain the horizontal coordinate of the infrared transmission position corresponding to each measured propagation duration, and use the horizontal coordinate corresponding to the infrared transmission position corresponding to the measured propagation duration as the horizontal coordinate of the corresponding arm surface coordinate to obtain the horizontal coordinate of each arm surface coordinate;

[0109] Based on each measured propagation time and measured propagation speed, the ordinate of each arm surface coordinate is calculated;

[0110] Determine the vertical coordinate of each arm surface coordinate;

[0111] Based on the horizontal coordinate, the vertical coordinate and the vertical coordinate of each arm surface coordinate, multiple arm surface coordinates on the arm of the person to be measured are determined.

[0112] Among them, a three-dimensional space coordinate system is established with the lower left corner located at the entrance of the blood pressure measuring instrument and facing the measuring person as the origin, the direction from the lower left corner to the lower right corner as the positive direction of the horizontal axis, the direction from the lower left corner to the upper left corner as the positive direction of the vertical axis, and the direction from the entrance direction to the exit direction as the positive direction of the vertical axis.

[0113] Specifically, the horizontal coordinate of the infrared sending position corresponding to each measured propagation duration is obtained, that is, the horizontal coordinate of each position where infrared rays are sent is obtained, and the horizontal coordinate of each infrared sending position is used as the horizontal coordinate of the arm surface coordinate of the corresponding vertical position on the arm to obtain the horizontal coordinate of each arm surface coordinate, that is, the position touched by each infrared sending position after sending infrared rays is used as the vertical position on the arm corresponding to each infrared sending position, and the horizontal coordinate corresponding to the infrared sending position is used as the horizontal coordinate of the corresponding arm surface coordinate.

[0114] Based on the propagation time and propagation speed in the infrared data, the formula d=v*t / 2 is used, where d is the distance, v is the propagation speed, and t is the propagation time. The actual distance from the sensor to the arm surface is calculated, and the actual distance is used as the vertical coordinate of the position touched after the infrared sending position sends the infrared light, so as to obtain the vertical coordinate of each arm surface coordinate.

[0115] Based on the horizontal displacement in the infrared data, the horizontal displacement obtained after the infrared ray is sent and the horizontal displacement corresponding to the infrared ray sent after the infrared ray are added to obtain the vertical coordinate corresponding to the position touched after the infrared sending position sends the infrared ray. More specifically, the horizontal displacement corresponding to the infrared ray sent after a certain infrared ray and before the arm stops is obtained as the target horizontal displacement, and the horizontal displacement obtained after the current infrared ray is sent is added to the target horizontal displacement to obtain the vertical coordinate corresponding to the position touched after the infrared sending position sends the infrared ray, so as to obtain the vertical coordinate of each arm surface coordinate.

[0116] For each measuring point, the horizontal coordinate (X-axis) of the infrared sending position, the calculated vertical coordinate (Y-axis) and the determined vertical coordinate (Z-axis) are combined to form a complete arm surface coordinate (Xi, Yi, Zi) to obtain multiple arm surface coordinates on the arm of the person to be measured.

[0117] A possible implementation of the embodiment of the present application, in the above embodiment, determining the measuring arm position corresponding to the person to be measured based on the arm surface curve includes:

[0118] Identify the location of the antecubital fossa in the curve of the arm surface;

[0119] Determine the measuring distance between the antecubital fossa of the upper arm and the blood pressure measuring instrument;

[0120] Based on the position of the elbow fossa of the upper arm and the measurement distance, the corresponding measuring arm position of the person to be measured is determined.

[0121] After the arm surface curve is obtained, it is smoothed by mathematical methods such as moving average, low-pass filtering or curve fitting algorithm to reduce the influence of measurement noise and outliers. Using image processing or pattern recognition algorithm, a region with a relatively concave part and steep curves on both sides is found as the cubital fossa region. For example, the curvature of each point on the curve can be calculated, and the point or region with the largest curvature change is found as the candidate cubital fossa position.

[0122] Further, the measurement position in the blood pressure measuring instrument is obtained, and the distance between the measurement position and the elbow fossa of the upper arm is calculated to obtain the measurement arm position of the person to be measured. For example, the side face arm position can be 3 cm above the elbow fossa of the upper arm.

[0123] In a possible implementation of the embodiment of the present application, in the above step S205, determining the health status of the person to be measured based on the measured arm position and the person's blood pressure value includes:

[0124] Obtain historical data corresponding to personnel identities;

[0125] Based on historical data, predict the healthy blood pressure value range corresponding to the measurement arm position of the person to be measured;

[0126] Determine whether the person's blood pressure value is within the healthy blood pressure value range;

[0127] If the blood pressure value of the person is within the healthy blood pressure value range, the health status of the person to be measured is determined to be healthy;

[0128] If the blood pressure value of the person does not fall within the healthy blood pressure value range, the health status of the person to be measured is determined to be unhealthy.

[0129] The historical data includes historical blood pressure values, historical measurement arm positions corresponding to the historical blood pressure values, and historical symptoms, and the historical symptoms include at least one of normal, dizziness, headache, and palpitations. Specifically, after each blood pressure test, the electronic device generates an option of whether there is dizziness, headache, or palpitations, so that the measurement personnel can select according to the actual situation, and save the result selected by the measurement personnel.

[0130] Based on historical data, analyze the distribution of blood pressure values ​​under different measurement arm positions. Use machine learning or statistical methods (such as regression analysis, decision trees, random forests, etc.) to build a prediction model. The model can predict the user's healthy blood pressure range under the current measurement conditions based on the user's measurement arm position and possible other factors (such as age, gender, weight, etc.). Use a portion of the historical data as a test set to verify the accuracy and reliability of the model.

[0131] The person's blood pressure value is compared with the predicted healthy blood pressure value range. If the real-time blood pressure value falls within the healthy blood pressure value range, the user's health status is determined to be healthy; if the real-time blood pressure value exceeds the healthy blood pressure value range, the user's health status is determined to be unhealthy.

[0132] Furthermore, for users whose health status is not healthy, personalized health suggestions are provided, such as adjusting diet, increasing exercise, regular check-ups, etc. If the blood pressure value is abnormally severe or lasts for a long time, it is recommended that the user consult a professional doctor in time.

[0133] A possible implementation of the embodiment of the present application, in the above embodiment, based on historical data, predicting the healthy blood pressure value range corresponding to the measurement arm position corresponding to the person to be measured includes:

[0134] Obtain basic information corresponding to the person's identity and disease information;

[0135] Determine a first healthy blood pressure value range corresponding to the basic information and a second healthy blood pressure value range corresponding to the disease information;

[0136] Filter out a historical measurement arm position that is consistent with the measurement arm position from the historical data to serve as a first historical measurement arm position, and filter out a historical measurement arm position whose corresponding historical symptoms do not include a normal one from the first historical measurement arm position to serve as a second historical measurement arm position;

[0137] Determine a third healthy blood pressure value range based on the historical blood pressure values ​​corresponding to each second historical measurement arm position;

[0138] Based on the first healthy blood pressure value range, the second healthy blood pressure value range and the third healthy blood pressure value range, a healthy blood pressure value range corresponding to the measuring arm position of the person to be measured is predicted.

[0139] Among them, basic information is used to characterize the personal attributes of the person to be measured. Obtain basic information of the person to be measured, such as age, gender, height, weight, etc. This information is used to characterize the user's personal attributes and may affect their blood pressure level. Similarly, obtaining the user's disease information from the user profile, including known disease diagnoses, chronic disease history, family medical history, etc., is crucial to determining the user's specific healthy blood pressure value range.

[0140] The first healthy blood pressure value range can be determined by referring to existing, generally applicable blood pressure standards for healthy people on the Internet based on basic information (such as age, gender, etc.) to determine a basic healthy blood pressure value range.

[0141] Determining the second healthy blood pressure value range may include: adjusting the first healthy blood pressure value range according to the disease information. Different diseases may require different blood pressure control targets. For example, a patient with hypertension may require a lower blood pressure target value.

[0142] Determining the third healthy blood pressure value range can be as follows: filtering out all historical records consistent with the current measurement arm position from the historical data of the person's identity, and further filtering out those corresponding historical symptoms that do not include "normal" records from the first historical measurement arm position, that is, blood pressure readings whose historical symptoms include at least one of dizziness, headache, and palpitations, so as to more accurately predict the healthy blood pressure value range. For each record in the second historical measurement arm position, extract its corresponding historical blood pressure value. Analyze the distribution of these blood pressure values, including statistics such as mean, standard deviation, minimum, and maximum. Based on these statistics, exclude extreme values ​​or outliers and determine a third healthy blood pressure value range.

[0143] Furthermore, the first healthy blood pressure value range, the second healthy blood pressure value range, and the third healthy blood pressure value range are weighted or logically merged. Different weights can be given to different ranges, taking into account their importance and credibility. For example, the ranges provided by basic information and disease information may have a higher priority, while the ranges based on historical data serve as a supplement and verification. The final predicted healthy blood pressure value range should be a reasonable range that meets medical standards and is close to the user's personal situation.

[0144] The above embodiment introduces a family-oriented intelligent blood pressure detection method from the perspective of method flow, and the following embodiment introduces a family-oriented intelligent blood pressure detection device from the perspective of a virtual module or a virtual unit. For details, please refer to the following embodiment.

[0145] See also Figure 3 The family-oriented intelligent blood pressure detection device 30 may specifically include: an identification module 301, an identity determination module 302, a control module 303, a position determination module 304 and a state determination module 305. Specifically:

[0146] A family-oriented intelligent blood pressure detection device 30, comprising:

[0147] An identification module 301 is used to receive the identity of the person to be measured;

[0148] An identity determination module 302 is used to determine whether the identity of the person is a target person identity, and the disease corresponding to the target person identity includes the target disease;

[0149] The control module 303 is used to control the infrared sensor and the blood pressure measuring instrument to turn on and receive infrared data and the blood pressure value of the person if the person's identity is the target person's identity;

[0150] A position determination module 304, for determining the position of the measuring arm corresponding to the person to be measured based on the infrared data;

[0151] The state determination module 305 is used to determine the health state of the person to be measured based on the measured arm position and the person's blood pressure value, and the health state is healthy or unhealthy.

[0152] In a possible implementation of the embodiment of the present application, the infrared data includes a propagation speed and a propagation duration. When the position determination module 304 determines the position of the measuring arm corresponding to the person to be measured based on the infrared data, it can be specifically used to:

[0153] Fit the arm surface curve of the person to be measured based on the propagation speed and propagation time;

[0154] Based on the arm surface curve, the measuring arm position corresponding to the person to be measured is determined.

[0155] In a possible implementation of the embodiment of the present application, when the position determination module 304 fits the arm surface curve of the person to be measured based on the propagation speed and the propagation duration, it can be specifically used to:

[0156] Get the target distance between the infrared sensor and the blood pressure measuring instrument;

[0157] Calculate the target propagation time corresponding to the target distance;

[0158] Determine the propagation time other than the target propagation time as the measured propagation time;

[0159] Get the infrared sending position corresponding to each measured propagation duration;

[0160] Determine multiple arm surface coordinates on the arm of the person to be measured based on the infrared transmission position corresponding to each measured propagation time, each measured propagation time, and the propagation speed;

[0161] Based on multiple arm surface coordinates, the arm surface curve of the person to be measured is fitted.

[0162] In a possible implementation of the embodiment of the present application, when the position determination module 304 determines multiple arm surface coordinates on the arm of the person to be measured based on the infrared transmission position corresponding to each measured propagation duration, each measured propagation duration, and the propagation speed, it can be specifically used to:

[0163] Obtain the horizontal coordinate of the infrared transmission position corresponding to each measured propagation duration, and use the horizontal coordinate corresponding to the infrared transmission position corresponding to the measured propagation duration as the horizontal coordinate of the corresponding arm surface coordinate to obtain the horizontal coordinate of each arm surface coordinate;

[0164] Based on each measured propagation time and measured propagation speed, the ordinate of each arm surface coordinate is calculated;

[0165] Determine the vertical coordinate of each arm surface coordinate;

[0166] Based on the horizontal coordinate, the vertical coordinate and the vertical coordinate of each arm surface coordinate, multiple arm surface coordinates on the arm of the person to be measured are determined.

[0167] In a possible implementation of the embodiment of the present application, when the position determination module 304 determines the measurement arm position corresponding to the person to be measured based on the arm surface curve, it can be specifically used to:

[0168] Identify the location of the antecubital fossa in the curve of the arm surface;

[0169] Determine the measuring distance between the antecubital fossa of the upper arm and the blood pressure measuring instrument;

[0170] Based on the position of the elbow fossa of the upper arm and the measurement distance, the corresponding measuring arm position of the person to be measured is determined.

[0171] In a possible implementation of the embodiment of the present application, when the state determination module 305 determines the health state of the person to be measured based on the measured arm position and the person's blood pressure value, it can be specifically used to:

[0172] Obtaining historical data corresponding to the identity of the person, the historical data including historical blood pressure values, historical measurement arm positions corresponding to the historical blood pressure values, and historical symptoms, the historical symptoms including at least one of normal, dizziness, headache, and palpitations;

[0173] Based on historical data, predict the healthy blood pressure value range corresponding to the measurement arm position of the person to be measured;

[0174] Determine whether the person's blood pressure value is within the healthy blood pressure value range;

[0175] If the blood pressure value of the person is within the healthy blood pressure value range, the health status of the person to be measured is determined to be healthy;

[0176] If the blood pressure value of the person does not fall within the healthy blood pressure value range, the health status of the person to be measured is determined to be unhealthy.

[0177] In a possible implementation of the embodiment of the present application, when the state determination module 305 predicts the healthy blood pressure value range corresponding to the measurement arm position corresponding to the person to be measured based on historical data, it can be specifically used to:

[0178] Obtain basic information corresponding to the person's identity and disease information. The basic information is used to characterize the personal attributes of the person to be measured;

[0179] Determine a first healthy blood pressure value range corresponding to the basic information and a second healthy blood pressure value range corresponding to the disease information;

[0180] Filter out a historical measurement arm position that is consistent with the measurement arm position from the historical data to serve as a first historical measurement arm position, and filter out a historical measurement arm position whose corresponding historical symptoms do not include a normal one from the first historical measurement arm position to serve as a second historical measurement arm position;

[0181] Determine a third healthy blood pressure value range based on the historical blood pressure values ​​corresponding to each second historical measurement arm position;

[0182] Based on the first healthy blood pressure value range, the second healthy blood pressure value range and the third healthy blood pressure value range, a healthy blood pressure value range corresponding to the measuring arm position of the person to be measured is predicted.

[0183] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0184] See also Figure 4 , the embodiment of the present application also introduces an electronic device from the perspective of a physical device, such as Figure 4 As shown, Figure 4 The electronic device 40 shown includes: a processor 401 and a memory 403. The processor 401 and the memory 403 are connected, such as through a bus 402. Optionally, the electronic device 40 may also include a transceiver 404. It should be noted that in actual applications, the transceiver 404 is not limited to one, and the structure of the electronic device 40 does not constitute a limitation on the embodiments of the present application.

[0185] Processor 401 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. Processor 401 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0186] The bus 402 may include a path to transmit information between the above components. The bus 402 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 402 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0187] The memory 403 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0188] The memory 403 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 401. The processor 401 is used to execute the application code stored in the memory 403 to implement the contents shown in the above method embodiment.

[0189] The electronic devices include but are not limited to: mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc., and can also be servers, etc. Figure 4 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0190] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment.

[0191] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0192] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. An electronic device, characterized in that: The electronic device comprises: at least one processor; Memory; At least one application, wherein the at least one application is stored in the memory and configured to be executed by at least one processor, and the at least one application is configured to: execute a family-oriented intelligent blood pressure detection method; The family-oriented intelligent blood pressure detection method is applied to an automatic armband blood pressure meter equipped with an infrared sensor, and the method comprises: receiving the identity of the person to be measured; Determining whether the person identity is a target person identity, and whether the disease corresponding to the target person identity includes a target disease; If the identity of the person is the identity of the target person, the infrared sensor and the blood pressure measuring instrument are controlled to turn on, and infrared data and the blood pressure value of the person are received; Based on the infrared data, determining the measuring arm position corresponding to the person to be measured; Determining the health status of the person to be measured based on the measuring arm position and the person's blood pressure value, the health status being healthy or unhealthy; The infrared data includes a propagation speed and a propagation duration, and determining the measuring arm position corresponding to the person to be measured based on the infrared data includes: Fitting the arm surface curve of the person to be measured based on the propagation speed and the propagation duration; Based on the arm surface curve, determining the measuring arm position corresponding to the person to be measured; Wherein, based on the arm surface curve, determining the measuring arm position corresponding to the person to be measured includes: identifying the location of the antecubital fossa of the upper arm in the arm surface curve; Determine the measuring distance between the upper arm cubital fossa position and the blood pressure measuring instrument; Based on the upper arm cubital fossa position and the measurement distance, the measurement arm position corresponding to the person to be measured is determined.

2. The electronic device according to claim 1, characterized in that: The step of fitting the arm surface curve of the person to be measured based on the propagation speed and the propagation duration includes: Acquiring a target distance between the infrared sensor and the blood pressure measuring instrument; Calculate the target propagation time corresponding to the target distance; Determine the propagation time other than the target propagation time as the measured propagation time; Get the infrared sending position corresponding to each measured propagation duration; Determine a plurality of arm surface coordinates on the arm of the person to be measured based on the infrared transmission position corresponding to each measured propagation duration, each measured propagation duration, and the propagation speed; Based on the multiple arm surface coordinates, the arm surface curve of the person to be measured is fitted.

3. The electronic device according to claim 2, characterized in that: The determining of a plurality of arm surface coordinates on the arm of the person to be measured based on the infrared transmission position corresponding to each measured propagation duration, each measured propagation duration, and the propagation speed includes: Obtain the horizontal coordinate of the infrared transmission position corresponding to each measured propagation duration, and use the horizontal coordinate corresponding to the infrared transmission position corresponding to the measured propagation duration as the horizontal coordinate of the corresponding arm surface coordinate to obtain the horizontal coordinate of each arm surface coordinate; Based on each measured propagation time and measured propagation speed, the ordinate of each arm surface coordinate is calculated; Determine the vertical coordinate of each arm surface coordinate; Based on the horizontal coordinate, the vertical coordinate and the vertical coordinate of each arm surface coordinate, multiple arm surface coordinates on the arm of the person to be measured are determined.

4. The electronic device according to claim 1, characterized in that: The determining the health status of the person to be measured based on the measuring arm position and the person's blood pressure value includes: Acquire historical data corresponding to the identity of the person, the historical data including historical blood pressure values, historical measurement arm positions corresponding to the historical blood pressure values, and historical symptoms, the historical symptoms including at least one of normal, dizziness, headache, and palpitations; Based on the historical data, predict the healthy blood pressure value range corresponding to the measuring arm position of the person to be measured; Determining whether the blood pressure value of the person falls within the healthy blood pressure value range; If the blood pressure value of the person falls within the healthy blood pressure value range, determining that the health status of the person to be measured is healthy; If the blood pressure value of the person does not belong to the healthy blood pressure value range, it is determined that the health status of the person to be measured is unhealthy.

5. The electronic device according to claim 4, characterized in that: The predicting, based on the historical data, a healthy blood pressure value range corresponding to the measuring arm position corresponding to the person to be measured includes: Obtaining basic information and disease information corresponding to the identity of the person, wherein the basic information is used to characterize the personal attributes of the person to be measured; Determine a first healthy blood pressure value range corresponding to the basic information and a second healthy blood pressure value range corresponding to the disease information; Filtering out a historical measurement arm position consistent with the measurement arm position from the historical data as a first historical measurement arm position, and filtering out a historical measurement arm position whose corresponding historical symptoms do not include normal from the first historical measurement arm position as a second historical measurement arm position; Determine a third healthy blood pressure value range based on the historical blood pressure values ​​corresponding to each of the second historical measured arm positions; Based on the first healthy blood pressure value range, the second healthy blood pressure value range and the third healthy blood pressure value range, the healthy blood pressure value range corresponding to the measuring arm position corresponding to the person to be measured is predicted.

6. A family-oriented intelligent blood pressure detection device, characterized in that: The smart blood pressure detection device for home runs on the electronic device according to any one of claims 1 to 5, and the smart blood pressure detection device for home includes: An identification module, used for receiving the identity of the person to be measured; An identity determination module, used to determine whether the person identity is a target person identity, and the disease corresponding to the target person identity includes a target disease; A control module, for controlling the infrared sensor and the blood pressure measuring instrument to turn on and receive infrared data and the blood pressure value of the person if the person's identity is the target person's identity; A position determination module, used to determine the position of the measuring arm corresponding to the person to be measured based on the infrared data; A status determination module, used to determine the health status of the person to be measured based on the measurement arm position and the blood pressure value of the person, the health status being healthy or unhealthy; The infrared data includes a propagation speed and a propagation duration. When the position determination module determines the position of the measuring arm corresponding to the person to be measured based on the infrared data, it is specifically used to: Fitting the arm surface curve of the person to be measured based on the propagation speed and the propagation duration; Based on the arm surface curve, determining the measuring arm position corresponding to the person to be measured; Wherein, when the position determination module determines the measuring arm position corresponding to the person to be measured based on the arm surface curve, it is specifically used to: identifying the location of the antecubital fossa of the upper arm in the arm surface curve; Determine the measuring distance between the upper arm cubital fossa position and the blood pressure measuring instrument; Based on the upper arm cubital fossa position and the measurement distance, the measurement arm position corresponding to the person to be measured is determined.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed in a computer, the computer is caused to execute the home-oriented intelligent blood pressure detection method executed in the electronic device according to any one of claims 1 to 5.

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