Blood pressure monitoring device and method

Abstract

The invention provides a blood pressure monitoring device and method.The blood pressure monitoring device can comprise a wearing part used for wearing and a monitoring part used for monitoring blood pressure, and the wearing part is connected with the monitoring part; the monitoring part comprises an ultrasonic transduction module and a controller; the ultrasonic transduction module comprises a plurality of ultrasonic transduction parts; wherein the plurality of ultrasonic transduction parts are configured to emit and / or receive ultrasonic signals towards a plurality of preset directions; the controller is used for controlling transmitting and / or receiving of ultrasonic signals of the ultrasonic transduction module; wherein the received ultrasonic signal is used for determining blood vessel data and blood data; the wearing part is used for assisting the monitoring part in approaching and / or contacting with a to-be-monitored part.

Description

Technical Field

[0001] The present application relates to the technical field of medical devices, and in particular to a blood pressure monitoring device and method. Background Art

[0002] Blood pressure is an indicator that can characterize a person's physical condition. It can be used to determine heart function and peripheral vascular resistance. It is also an important part of diagnosing diseases, observing changes in disease conditions, and judging treatment effects. Therefore, in clinical practice, the patient's physical condition is understood by measuring the user's blood pressure.

[0003] Current blood pressure measurement methods usually include: one is to insert a long catheter containing anticoagulant into the aorta through percutaneous puncture, and the catheter is connected to a pressure sensor to directly display blood pressure; the other is the cuff pressurization method, which uses a sphygmomanometer to measure. The first method is not convenient to implement, and the second method requires applying pressure to the upper arm of the person being tested, which may cause discomfort to the person being tested. Summary of the invention

[0004] The purpose of the present application is to provide a blood pressure monitoring device and method, which can improve the accuracy of blood pressure monitoring while improving the comfort of the tested person.

[0005] In a first aspect, the present invention provides a blood pressure monitoring device, comprising: a wearing part for wearing and a monitoring part for monitoring blood pressure, wherein the wearing part is connected to the monitoring part; the monitoring part comprises: an ultrasonic transducer module and a controller; the ultrasonic transducer module comprises a plurality of ultrasonic transducer parts; wherein the plurality of ultrasonic transducer parts are configured to transmit and / or receive ultrasonic signals in a plurality of preset directions; the controller is used to control the transmission and / or reception of ultrasonic signals of the ultrasonic transducer module; wherein the received ultrasonic signals are used to determine vascular data and blood data; the wearing part is used to assist the monitoring part to approach and / or contact the part to be monitored.

[0006] In the device provided in the embodiment of the present application, by setting a plurality of ultrasonic transducers, and the plurality of ultrasonic transducers can transmit and / or receive ultrasonic signals in a plurality of preset directions, the blood pressure of the subject can be monitored based on the ultrasonic signal. This method can monitor the blood pressure without squeezing the skin of the subject, thereby improving the comfort of the test. Furthermore, since the test is implemented based on a plurality of ultrasonic transducers that can transmit ultrasonic signals in different preset directions, the blood pressure monitoring implemented based on the ultrasonic signal to determine the vascular data and blood data and other data can also be more comprehensive and accurate.

[0007] In an optional embodiment, it also includes: a display, which is arranged in the monitoring part and is used to display the blood pressure monitoring data; the controller is electrically connected to the display to send the blood pressure monitoring data to the display.

[0008] In the above embodiment, a display may also be provided to directly display the blood pressure monitoring data without the aid of external equipment, so that the person being tested or related personnel can quickly and conveniently understand the blood pressure status.

[0009] In an optional embodiment, it further includes: a power supply unit, which is arranged on the first side of the display and is electrically connected to the display, the controller and the ultrasonic transducer module respectively, so as to provide electrical energy.

[0010] In the above implementation, the blood pressure monitoring device may be equipped with a power supply unit, so that blood pressure monitoring can be performed without continuous connection to a power source, thereby making blood pressure monitoring more convenient.

[0011] In an optional embodiment, the ultrasonic transducer module includes: a transducer layer, a flexible circuit board layer and a matching layer, wherein the transducer layer includes a plurality of transducers.

[0012] In the above embodiment, the circuit board layer of the ultrasonic transducer module can be flexible, easy to bend and not easily damaged. Furthermore, the ultrasonic transducer module is also provided with a matching layer, which can play the function of matching impedance.

[0013] In an optional embodiment, the ultrasonic transducer module includes a first ultrasonic transducer portion, which transmits and / or receives ultrasonic signals in a first direction, and the ultrasonic transducer module includes a second ultrasonic transducer portion, which transmits and / or receives ultrasonic signals in a second direction.

[0014] In an optional embodiment, the first ultrasonic transducer portion includes: a first transducer, a first flexible circuit board layer and a first matching layer; wherein the first transducer is arranged in parallel with the first flexible circuit board layer.

[0015] In an optional embodiment, the second ultrasonic transducer portion includes: a second transducer, a second flexible circuit board layer, and a second matching layer; wherein the second transducer and the second flexible circuit board layer form a preset angle.

[0016] In an optional embodiment, the preset angle is in the range of 0° to 60°.

[0017] In the above embodiment, a second transducer can be set to form a preset angle with the second flexible circuit board layer. Through the setting of the angle, based on the setting of the angle, when calculating the blood flow velocity, the setting data of the two angles can be directly referred to, thereby reducing the amount of calculation of the blood flow velocity.

[0018] In an optional embodiment, the second transducer includes a second transducer of a first part and a second transducer of a second part; the second transducer of the first part forms a first preset angle with the second flexible circuit board layer, and the second transducer of the second part forms a second preset angle with the second flexible circuit board layer; wherein the first preset angle and the second preset angle are angles of different sizes.

[0019] In an optional embodiment, the difference between the first preset angle and the second preset angle is not less than 10°.

[0020] In the above embodiment, two types of second transducers with different angles with the flexible circuit board layer can be set. On this basis, the blood flow velocity can be calculated without calculating the angle between the first transducer and the blood vessel, which can improve the efficiency of blood flow velocity calculation and reduce the amount of calculation.

[0021] In an optional embodiment, the opening of the second transducer at a preset angle to the second flexible circuit board layer is toward the first edge of the second flexible circuit board layer; or, the opening of the second transducer at a preset angle to the second flexible circuit board layer is toward the second edge of the second flexible circuit board layer; or, part of the opening of the second transducer at a preset angle to the second flexible circuit board layer is toward the first edge of the second flexible circuit board layer, and another part of the opening of the second transducer at a preset angle to the second flexible circuit board layer is toward the second edge of the second flexible circuit board layer; wherein the first edge and the second edge are different edges of the second flexible circuit board layer.

[0022] In the above implementation, by directing the opening of the preset angle of the second transducer to different directions, the direction of blood flow can be the same as the opening direction of part of the second transducer or opposite to the opening direction of another part when worn in different ways, so that the frequency of blood flow velocity measurement achieved by part of the second transducer can be increased, and the frequency of blood flow velocity measurement achieved by another part of the second transducer can be reduced. Therefore, the second transducers set in two directions can eliminate frequency offset or reduce frequency offset, so that the velocity measurement effect achieved by the second transducer can be better and more accurate.

[0023] In an optional embodiment, the transducer includes a first transducer and a second transducer; the first transducer and the second transducer are arranged in an array to form a first type of transducer column including the first transducer, and a second type of transducer column including the second transducer; wherein the first type of transducer column and the second type of transducer column are arranged according to a set rule.

[0024] In the above embodiment, when calculating blood pressure related data, it can be calculated based on a regular transducer. Based on the setting of two angles, when calculating blood pressure, the blood flow rate can be determined based on the two angles. When calculating the blood flow rate, the calculation can be achieved based on less calculation amount, thereby improving calculation efficiency and reducing calculation amount.

[0025] In an optional embodiment, the matching layer is provided with a plurality of grooves; the grooves are provided at the gaps between the transducers, and the transducers are the first transducer or the second transducer.

[0026] In the above embodiment, the matching layer is a layer that contacts the skin of the person being tested, and a plurality of grooves are provided on this layer to form a ventilation channel, which does not affect the breathing of the skin or block the sweat glands, and provides a better comfort experience and is suitable for long-term wear. Furthermore, since the grooves are provided in the gaps between the transducers, the transmission and collection of the transducer signals can be maintained without affecting the accuracy of the test efficiency.

[0027] In an optional embodiment, the matching layer is made of a flexible material.

[0028] In the above embodiment, the matching layer is made of a flexible material, which makes the wearing experience of the test subject more comfortable and convenient for bending, thereby increasing the service life of the blood pressure monitoring device.

[0029] In an optional embodiment, the wearing portion is provided with a hollow accommodation space, the transducer layer and the flexible circuit board layer are built in the hollow accommodation space, and the contact portion between the wearing portion and the transducer layer serves as the matching layer.

[0030] In the above embodiment, by arranging a hollow space to accommodate the ultrasonic transducer module, the installation of the ultrasonic transducer module can be made more stable.

[0031] In an optional embodiment, an anti-slip structure is provided on the wearing portion, and the anti-slip structure includes one or more of a plurality of anti-slip protrusions and an anti-slip coating.

[0032] In the above embodiment, an anti-slip structure may be provided on the wearing portion, so that the device can be more stable when worn on the upper arm of the person being tested, thereby making the data testing process more stable and reliable.

[0033] In an optional embodiment, the controller includes: a main control module, which is electrically connected to the display for sending blood pressure monitoring results to the display; an ultrasonic transmitting module, whose input end is electrically connected to the main control module and whose output end is electrically connected to the ultrasonic transducer module, for receiving a control signal from the main control module and driving the ultrasonic transducer module to transmit an ultrasonic signal; a signal processing module, whose input end is electrically connected to the ultrasonic transducer module and whose output end is electrically connected to the main control module, for receiving and processing the electrical signal fed back by the ultrasonic transducer module, and feeding back the processing result to the main control module; the main control module is also used to calculate the signal obtained by the signal processing module to obtain the blood pressure monitoring result; or, to send the signal obtained by the signal processing module to a server that is communicatively connected to the blood pressure monitoring device, so that the server can calculate the signal obtained by the signal processing module to obtain the blood pressure monitoring result.

[0034] In an optional embodiment, the ultrasonic transmitting module includes: an impedance matching circuit, electrically connected to the main control module, for matching the impedance value of the ultrasonic transducer module; a frequency generating circuit, electrically connected to the impedance matching circuit, for forming an initial power for driving the ultrasonic transducer module; and a power amplifying circuit, electrically connected to the frequency generating circuit, for amplifying the initial power so that the amplified power is used to drive the ultrasonic transducer module.

[0035] In the above implementation, an impedance matching circuit may be configured to match the impedance value of the ultrasonic transducer module, so that the obtained signal may be more stable and reliable.

[0036] In an optional embodiment, it also includes a body monitoring component connected to the controller, which is used to monitor the user's physical condition; wherein the body monitoring component includes one or more of a temperature sensor, a gyroscope, and a heart rate sensor; the controller is used to control the transmission and reception of ultrasonic signals of the ultrasonic transducer module according to the user's physical condition monitored by the body monitoring component.

[0037] In the above embodiment, a body monitoring component can be set up. When testing blood pressure, the data obtained by the body monitoring component can be used as the basis for blood pressure monitoring; the state of the human body can also be obtained based on the body monitoring component to further confirm the optimal blood pressure measurement time / time period.

[0038] In a second aspect, the present invention provides a blood pressure monitoring method, which is applied to the blood pressure monitoring device described in any one of the aforementioned embodiments, comprising: transmitting an ultrasonic signal to a target area of ​​a target user along multiple preset directions through an ultrasonic transducer module of the blood pressure monitoring device; determining vascular data of the target area based on the ultrasonic signal; determining blood data of the blood vessels in the target area based on the ultrasonic signal; wherein the vascular data and the blood data are used to calculate the blood pressure monitoring result of the target user.

[0039] In the embodiment of the present application, ultrasonic signals can be transmitted to a target area of ​​a target user in multiple preset directions, and blood pressure monitoring can be achieved without applying pressure to the target area of ​​the target user.

[0040] In an optional embodiment, the blood pressure monitoring result is calculated in the following manner: calculating the first category blood pressure of the target user based on the vascular data; calculating the second category blood pressure of the target user based on the vascular data and the blood data; and determining the blood pressure monitoring result of the target user based on the first category blood pressure and the second category blood pressure.

[0041] In the above implementation, the blood pressure monitoring result can be comprehensively determined based on the two types of blood pressure cards, which can better improve the possible error of one type of blood pressure and improve the accuracy of the blood pressure monitoring result.

[0042] In an optional embodiment, calculating the first category blood pressure of the target user based on the vascular data includes: calculating the blood vessel cross-sectional area based on the vascular data; calculating the vascular status data of the target user based on the systolic pressure and diastolic pressure of the target user, wherein the systolic pressure and the diastolic pressure are pre-measured values; determining the first category blood pressure of the target user based on the blood vessel cross-sectional area and the vascular status data.

[0043] In an optional embodiment, the blood vessel data includes a blood vessel diameter; and the first type of blood pressure is determined by the following formula:

[0044]

[0045]

[0046]

[0047] Where P(t) represents the blood pressure value at time t; P D represents the diastolic blood pressure of the target user; P S represents the systolic blood pressure of the target user; A(t) represents the cross-sectional area of ​​the blood vessel at time t; A D A represents the cross-sectional area of ​​blood vessels at the time of diastolic pressure;S represents the cross-sectional area of ​​the blood vessel at the moment of systolic pressure; d(t) represents the blood vessel diameter measured at time t; α represents the blood vessel status data.

[0048] In an optional embodiment, calculating the second category blood pressure of the target user based on the vascular data and the blood data includes: determining the pulse wave velocity of the target user based on the vascular data; calculating the blood pressure change value compared to the diastolic blood pressure of the target user based on the vascular data and the pulse wave velocity, wherein the diastolic blood pressure is a pre-measured value; determining the second category blood pressure of the target user based on the blood pressure change value and the diastolic blood pressure.

[0049] In an optional embodiment, the blood vessel data includes blood vessel diameter, and the blood data includes blood flow velocity; the second type of blood pressure is determined by the following formula:

[0050]

[0051] P(t)=ΔP+P D ;

[0052] Wherein, ρ represents the blood density of the target user; ΔP represents the blood pressure change value relative to the diastolic blood pressure of the target user at time t; PWV represents the pulse wave velocity; d(t) represents the blood vessel diameter measured at time t; d D represents the maximum blood vessel diameter; P(t) represents the blood pressure value at time t; P b Indicates the target user's diastolic blood pressure.

[0053] In an optional embodiment, determining the blood pressure monitoring result of the target user based on the first category of blood pressure and the second category of blood pressure includes: weighting the first category of blood pressure and the second category of blood pressure to determine the blood pressure monitoring result of the target user.

[0054] In the above implementation, the blood pressure monitoring result can be determined directly by weighting the first type of blood pressure and the second type of blood pressure, which can reduce the amount of calculation while reducing the error of blood pressure calculation.

[0055] In an optional embodiment, the first type of blood pressure and the second type of blood pressure are weighted to determine the blood pressure monitoring result of the target user, including: determining a first hardening degree of the target user's blood vessels based on the vascular data and the blood data; determining first weight data of the target user based on the first hardening degree; and weighting the first type of blood pressure and the second type of blood pressure based on the first weight data to determine the blood pressure monitoring result of the target user.

[0056] In the above embodiment, the weight can also be determined in combination with the target user's degree of vascular sclerosis, so that the determined weight can be more suitable for the blood pressure distribution requirements of the target user's current degree of vascular sclerosis, thereby enabling the determined blood pressure monitoring results to better characterize the target user's blood pressure condition.

[0057] In an optional embodiment, determining a first hardening degree of the target user's blood vessels based on the blood vessel data and the blood data includes: inputting the blood vessel data and the blood data into a pre-trained hardening recognition model for recognition to determine the first hardening degree of the target user's blood vessels, wherein the hardening recognition model is any one of a binary classification model, a multi-classification model, or a score evaluation model.

[0058] In an optional embodiment, the hardening recognition model is trained in the following manner: a training data set is input into an initial model for training to obtain an initial training model; wherein the training data set includes multiple training data, the training data includes sample blood characteristics, the sample blood characteristics include one or more characteristics of maximum flow velocity, minimum flow velocity, blood vessel cross-sectional flow velocity distribution, flow velocity rise time, and flow velocity fall time; a test data set is input into the initial training model to verify the accuracy of the initial training model; if the accuracy reaches a preset threshold, the initial training model is used as a hardening recognition model; if the accuracy is less than the preset threshold, the initial training model is trained until the accuracy reaches the preset threshold.

[0059] In the above implementation, the degree of hardening of the blood vessels is determined by using a deep learning model, which can make the determination of the degree of hardening more intelligent.

[0060] In an optional embodiment, determining the blood pressure monitoring result of the target user based on the first category of blood pressure and the second category of blood pressure includes: calculating the third category of blood pressure of the target user based on the vascular data and the blood data; determining the blood pressure monitoring result of the target user based on the first category of blood pressure, the second category of blood pressure and the third category of blood pressure.

[0061] In an optional embodiment, the calculating the third category blood pressure of the target user based on the vascular data and the blood data includes: calculating the vascular cross-sectional area based on the vascular data; calculating the vascular status data of the target user based on the systolic pressure and diastolic pressure of the target user, wherein the systolic pressure and the diastolic pressure are pre-measured values; determining the pulse wave velocity of the target user based on the vascular data; determining the third category blood pressure of the target user based on the vascular cross-sectional area, the vascular status data and the pulse wave velocity.

[0062] In an optional embodiment, the blood vessel data includes blood vessel diameter; the third category blood pressure is determined by the following formula:

[0063]

[0064]

[0065] Where P(t) represents the blood pressure value at time t; A(t) represents the cross-sectional area of ​​the blood vessel at time t; P D and P S Respectively represent the diastolic and systolic blood pressure of the target user; A D and A S represents the cross-sectional area of ​​the blood vessel at the diastolic pressure moment and the cross-sectional area of ​​the blood vessel at the systolic pressure moment respectively; d(t) represents the blood vessel diameter measured at time t; α represents the blood vessel status data; ρ represents the blood density of the target user; PWV represents the pulse wave velocity; d D represents the maximum blood vessel diameter.

[0066] In an optional embodiment, the calculating the third category of blood pressure of the target user based on the vascular data and the blood data includes: obtaining a calculation method for the first category of blood pressure and a calculation method for the second category of blood pressure; constructing a calculation method for the third category of blood pressure based on the calculation method for the first category of blood pressure and the calculation method for the second category of blood pressure; inputting the vascular data and the blood data into the calculation formula of the third category of blood pressure to determine the third category of blood pressure of the target user.

[0067] In an optional embodiment, the blood pressure monitoring result of the target user is determined based on the first category of blood pressure, the second category of blood pressure, and the third category of blood pressure, including: determining a second degree of hardening of the target user's blood vessels based on the vascular data and the blood data; determining second weight data of the target user based on the second degree of hardening; and weighting the first category of blood pressure, the second category of blood pressure, and the third category of blood pressure based on the second weight data to determine the blood pressure monitoring result of the target user.

[0068] In an optional embodiment, determining the second weight data of the target user based on the second hardening degree includes: matching the blood vessel hardening degree with a pre-stored reference data table to determine the second weight data corresponding to the second hardening degree; wherein the pre-stored reference data table includes multiple different hardening degrees of blood vessels and weight data corresponding to each hardening degree.

[0069] In an optional embodiment, the pre-stored control data table is determined in the following manner: for multiple subjects whose vascular sclerosis degree is the target vascular sclerosis degree, the three types of blood pressure values ​​of each subject are calculated respectively using the first calculation method, the second calculation method and the third calculation method; wherein the first calculation method is a calculation method for calculating the first type of blood pressure, the second calculation method is a calculation method for calculating the second type of blood pressure, and the third calculation method is a calculation method for calculating the third type of blood pressure; the three types of blood pressure values ​​are compared with the actual blood pressure of the multiple subjects to determine the weight data of the first calculation method, the second calculation method and the third calculation method.

[0070] In an optional embodiment, the blood pressure monitoring result is calculated in the following manner: determining a third degree of hardening of the target user's blood vessels based on the vascular data and the blood data; determining a first adjustment parameter of the target user based on the third degree of hardening; wherein the first adjustment parameter includes first correction data; correcting the first calculation method and the second calculation method based on the first correction coefficient to obtain a first correction calculation method and a second correction calculation method; wherein the first calculation method and the second calculation method are preset blood pressure calculation formulas; calculating a first type of blood pressure based on the vascular data using the first correction calculation method; calculating a second type of blood pressure based on the vascular data and the blood data using the second correction calculation method; and determining the blood pressure monitoring result of the target user based on the first type of blood pressure and the second type of blood pressure.

[0071] In the above embodiment, the initial blood pressure calculation method can be corrected based on the degree of vascular hardening, so that the corrected calculation method can be more consistent with the current degree of hardening of the user's blood vessels, and the blood pressure calculation result can be more accurate.

[0072] In an optional embodiment, the first adjustment parameter also includes third weight data; determining the blood pressure monitoring result of the target user based on the first type of blood pressure and the second type of blood pressure includes: using the third weight data to perform weighted calculation on the first type of blood pressure and the second type of blood pressure to obtain the blood pressure monitoring result of the target user.

[0073] In an optional embodiment, the blood pressure monitoring result is calculated in the following manner: determining a fourth degree of hardening of the target user's blood vessels based on the vascular data and the blood data; determining a second adjustment parameter of the target user based on the fourth degree of hardening, wherein the first adjustment parameter includes second correction data; correcting the first calculation method, the second calculation method and the third calculation method based on the second correction coefficient to obtain a first correction calculation method, a second correction calculation method and a third correction calculation method; wherein the first calculation method, the second calculation method and the third calculation method are preset blood pressure calculation formulas; calculating a first type of blood pressure based on the vascular data using the first correction calculation method; calculating a second type of blood pressure based on the vascular data and the blood data using the second correction calculation method; calculating a third type of blood pressure based on the vascular data and the blood data using the third correction calculation method; determining the blood pressure monitoring result of the target user based on the first type of blood pressure, the second type of blood pressure and the third type of blood pressure.

[0074] In an optional embodiment, the second adjustment parameter also includes fourth weight data; determining the blood pressure monitoring result of the target user based on the first category of blood pressure, the second category of blood pressure and the third category of blood pressure includes: using the fourth weight data to perform weighted calculation on the first category of blood pressure, the second category of blood pressure and the third category of blood pressure to obtain the blood pressure monitoring result of the target user.

[0075] In an optional embodiment, the vascular data of the target area is determined based on the ultrasound signal, including: determining a transducer located in the vascular area based on the ultrasound signal; determining a collection area of ​​the blood vessel based on the transducer located in the vascular area; and determining the vascular data of the target area based on the collection area.

[0076] In an optional embodiment, the multiple preset directions include a first direction; determining the transducer located in the blood vessel area based on the ultrasonic signal includes: drawing a regional image of the target area based on multiple ultrasonic signals emitted to the target area of ​​the target user along the first direction; performing grayscale recognition on the regional image to determine the arterial blood vessel area; and determining the transducer located in the blood vessel area from each transducer in the ultrasonic transducer module based on the arterial blood vessel area.

[0077] In an optional embodiment, the grayscale recognition of the regional image to determine the arterial blood vessel area includes: for the regional images under different blood vessel states, grayscale recognition of the regional images under different blood vessel states is performed respectively to determine the blood vessel areas under different blood vessel states; judging whether the change in the number of pixels in the corresponding blood vessel area under different blood vessel states exceeds a set threshold, and whether the change period of the corresponding blood vessel area is within a set interval, and if so, determining it as the arterial blood vessel area.

[0078] In an optional embodiment, determining the vascular data of the target area according to the acquisition area includes: determining a first distance between a transducer and a first wall of an arterial blood vessel according to the acquisition area; determining a second distance between a transducer and a second wall of the arterial blood vessel according to the acquisition area; determining a first angle formed between the arterial blood vessel and the target transducer according to the distances between any two target transducers in the acquisition area and the distances between the two target transducers and the first wall of the arterial blood vessel; and determining the vascular data of the target area according to the first distance, the first distance and the first angle.

[0079] In an optional implementation, the first distance is determined by the following formula:

[0080]

[0081] Wherein, D1 represents the distance between the blood vessel wall and the transducer; N1 represents the pixel point sequence of the blood vessel wall of the arterial blood vessel obtained by scanning the first ultrasonic signal; f s represents the sampling frequency of the first transducer corresponding to the first ultrasonic signal; c represents the speed of sound in the blood.

[0082] In an optional embodiment, the multiple preset directions include a first direction and a second direction; the ultrasonic signal includes a first ultrasonic signal emitted along the first direction; and determining the blood data of the blood vessels in the target area based on the ultrasonic signal includes: determining a first angle formed by the arterial blood vessels in the target area and the target transducer based on the first ultrasonic signal; and determining the blood data of the blood vessels in the target area based on the first angle, the Doppler frequency shift corresponding to the first ultrasonic signal, the second angle formed by the first direction and the second direction, the frequency of the first ultrasonic signal, and the speed of sound in the blood.

[0083] In an optional embodiment, the multiple preset directions include a first direction, a second direction, and a third direction, and the ultrasonic signal includes a second ultrasonic signal emitted along the second direction and a third ultrasonic signal emitted along the third direction; determining the blood data of the target area based on the ultrasonic signal includes: determining the blood data of the target area based on a second angle formed by the first direction and the second direction, a third angle formed by the first direction and the third direction, a frequency of an echo signal corresponding to the second ultrasonic signal, a frequency of an echo signal corresponding to the third ultrasonic signal, and a speed of sound in the blood.

[0084] In the above-mentioned embodiment, the blood data can be determined based on the setting of the direction of the ultrasonic transducer and the angle between the transducers in different directions. Since each angle is already data and pre-configured data, the actual amount of calculation required can be reduced, the efficiency of determining the blood data can be improved, and the battery life of the blood pressure monitoring device can be further improved.

[0085] In an optional embodiment, the method also includes: collecting physical condition data of the target user; identifying the user's physical condition data to determine whether the physical condition of the target user is within a measurable range; if the target user is within the measurable range, executing the step of transmitting ultrasonic signals to the target area of ​​the target user along multiple preset directions through the ultrasonic transducer module of the blood pressure monitoring device.

[0086] In the above implementation, the target user's physical condition data may be collected first, and then whether blood pressure monitoring is required is determined based on the identification of the physical condition. After the identification of the physical condition, blood pressure monitoring is performed when the physical condition allows, so that the monitoring results can better represent the actual blood pressure of the user and improve the accuracy of blood pressure monitoring.

[0087] In an optional embodiment, the method further includes: determining the current activity mode of the target user based on the physical state data; setting a status label for the blood pressure monitoring result based on the current activity mode; and storing the blood pressure monitoring result in association with its corresponding status label.

[0088] In the above implementation, labels can be set for the blood pressure monitored at different times or in different states to better classify them. Furthermore, the classified blood pressure data can better provide effective reference for clinical treatment.

[0089] In an optional embodiment, the ultrasonic transducer module of the blood pressure monitoring device transmits ultrasonic signals to the target area of ​​the target user along multiple preset directions, including: based on a specified monitoring rule, the ultrasonic transducer module of the blood pressure monitoring device transmits ultrasonic signals to the target area of ​​the target user along multiple preset directions.

[0090] In the above implementation, blood pressure monitoring can be implemented based on a specified monitoring rule, and blood pressure at important moments can be monitored while reducing the amount of calculation.

[0091] In an optional implementation, the designated monitoring rule is determined by: acquiring historical user data of the target user; determining the work and rest rules of the target user based on the historical user data; and determining the designated monitoring rule based on the work and rest rules.

[0092] In the above implementation, the user's work and rest pattern can be determined based on user behavior recognition, and the blood pressure monitoring based on the work and rest pattern can be more accurate and can also characterize the blood pressure condition of the target user.

[0093] In an optional embodiment, determining the work and rest patterns of the target user based on the historical user data includes: dividing the historical user data in each monitoring cycle into multiple segments of historical user data according to time; inputting each segment of historical user data into a behavior recognition model to determine the behavior category corresponding to each segment of historical user data; wherein the behavior recognition model is one of a binary classification model and a multi-classification model; and determining the work and rest patterns in different time periods of the monitoring cycle based on the behavior categories corresponding to the historical user data.

[0094] In the above implementation, the recognition model can be combined to determine the work and rest pattern, so as to select the time that can better represent the user's condition to achieve blood pressure monitoring.

[0095] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, and the computer program executes the steps of the above method when executed by a processor.

[0096] In a fourth aspect, the present application provides a computer program product, wherein the computer program product comprises a computer program, and the computer program implements the above method when executed by a processor. BRIEF DESCRIPTION OF THE DRAWINGS

[0097] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0098] Figure 1 A schematic diagram of the interaction between the server and the blood pressure monitoring device provided in an embodiment of the present application;

[0099] Figure 2 A schematic diagram of the structure of a blood monitoring device provided in an embodiment of the present application;

[0100] Figure 3a and Figure 3b A schematic diagram of the structure of an ultrasonic transducer module provided in an embodiment of the present application;

[0101] Figure 4a A schematic diagram of the structure of the ultrasonic transducer module in the first state provided in an embodiment of the present application;

[0102] Figure 4b A schematic diagram of the structure of the ultrasonic transducer module in the second state provided in an embodiment of the present application;

[0103] Figure 4c A schematic diagram of the structure of the ultrasonic transducer module in the third state provided in an embodiment of the present application;

[0104] Figure 4d A schematic diagram of the structure of the ultrasonic transducer module in a fourth state provided in an embodiment of the present application;

[0105] Figure 5 A schematic diagram of a module of a controller provided in an embodiment of the present application;

[0106] Figure 6 A flow chart of a blood pressure monitoring method provided in an embodiment of the present application;

[0107] Figure 7 A schematic diagram of the calculation process of the blood pressure monitoring results provided in an embodiment of the present application;

[0108] Figure 8 A schematic diagram of the training process of the hardening recognition model provided in the embodiment of the present application;

[0109] Fig. 9 A schematic diagram of a process for determining a pre-stored reference data table provided in an embodiment of the present application;

[0110] Fig.10 A schematic diagram of another calculation process of the blood pressure monitoring result provided in an embodiment of the present application;

[0111] Fig.11 A schematic diagram of another calculation process of the blood pressure monitoring result provided in an embodiment of the present application;

[0112] Fig.12 This is an optional flow chart of step 320 in the blood pressure monitoring method provided in an embodiment of the present application;

[0113] Fig.13 A schematic diagram of a transducer array provided in an embodiment of the present application;

[0114] Fig.14 A schematic diagram of the position of the transducer and blood vessels provided in an embodiment of the present application;

[0115] Fig.15 A partial flow chart of the blood pressure monitoring method provided in an embodiment of the present application.

[0116] Icon: 100-blood pressure monitoring device; 110-monitoring part; 111-ultrasonic transducer module; 1111-transducer layer; 11111-first transducer; 11112-second transducer; 1112-flexible circuit board layer; 1113-matching layer; 11131-groove; 1114-backing layer; 112-controller; 1121-main control module; 1122-ultrasonic transmitting module; 1123-signal processing module; 113-charging interface; 120-wearing part; 130-anti-slip structure; 210-server; 220-terminal device. DETAILED DESCRIPTION

[0117] The technical solutions in the embodiments of the present application will be described below in conjunction with the accompanying drawings in the embodiments of the present application.

[0118] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0119] In clinical practice, blood pressure is an important data that can be used as a reference for the diagnosis of a variety of basic diseases. The frequency of blood pressure measurement is also increasing. For some elderly people, daily or even more frequent monitoring may be required. However, conventional blood pressure monitoring measures blood pressure by applying pressure to the wearable device and squeezing the upper arm being tested. This measurement method cannot meet the patient's requirements for comfort.

[0120] Based on the above research, the embodiments of the present application may provide a blood pressure monitoring device 100 and method that can monitor blood pressure while better satisfying the comfort level of the person being tested.

[0121] To facilitate understanding of this embodiment, the operating environment of a blood pressure monitoring device 100 disclosed in the embodiment of the present application is first introduced.

[0122] like Figure 1 , which is a schematic diagram of the interaction between the server 210 and the blood pressure monitoring device 100 provided in an embodiment of the present application. The server 210 is connected to one or more blood pressure monitoring devices 100 through a network for data communication or interaction. The server 210 may be a network server 210, a database server 210, etc. The blood pressure monitoring device 100 may be a wearable device, which may be worn on the upper arm of the subject to monitor blood pressure.

[0123] In one embodiment, the blood pressure monitoring device 100 may have a computing function, which may transmit an ultrasonic signal based on the configured ultrasonic transducer module 111, and may also determine a blood pressure monitoring result based on the obtained ultrasonic signal. The blood pressure monitoring device 100 may send the blood pressure monitoring result and the related data obtained in the process of determining the blood pressure monitoring result to the server 210 for storage or use. The blood pressure monitoring result may include the blood pressure value of the subject.

[0124] In another embodiment, the blood pressure monitoring device 100 may not be provided with a calculation module, and may only pre-process the ultrasonic signal. The pre-processed signal may be sent to the server 210 for the server 210 to calculate and obtain the blood pressure monitoring result.

[0125] Exemplarily, the preprocessing may include signal amplification processing, filtering processing, noise reduction processing, etc. The preprocessing may also include analog-to-digital conversion processing, which may convert the obtained analog signal into a digital signal.

[0126] In this embodiment, the server 210 is connected to one or more terminal devices 220 through a network for data communication or interaction. The terminal device 220 may be a personal computer (PC), a tablet computer, a smart phone, a personal digital assistant (PDA), etc.

[0127] The terminal device 220 may be provided with an operation page, through which the server 210 is accessed to send a data acquisition request to the server 210 to obtain the data stored in the server 210. Exemplarily, the terminal device 220 may send a data acquisition request based on a user account to obtain blood pressure related data bound to the user account from the server 210. Exemplarily, the terminal device 220 may send a data acquisition request based on a blood pressure interval to obtain blood pressure related data within the blood pressure interval from the server 210. Of course, based on different actual needs, the data acquisition request may also include more or fewer conditions to obtain blood pressure related data that meets the conditions from the server 210. The condition may be a time condition, a geographical condition, an age condition, a gender, etc.

[0128] like Figure 2 , which is a schematic diagram of the structure of a blood pressure monitoring device 100. The blood pressure monitoring device 100 comprises a wearing part 120 for wearing and a monitoring part 110 for monitoring blood pressure, wherein the wearing part 120 is connected to the monitoring part 110.

[0129] In this embodiment, the monitoring unit 110 may include: an ultrasonic transducer module 111 and a controller 112 .

[0130] The ultrasonic transducer module 111 may be used to transmit ultrasonic signals, and the controller 112 may be used to process the ultrasonic signals.

[0131] The ultrasonic transducer module 111 may include a plurality of ultrasonic transducers, wherein the plurality of ultrasonic transducers are configured to transmit ultrasonic signals toward a plurality of preset directions, receive ultrasonic signals toward a plurality of preset directions, and transmit and receive ultrasonic signals toward a plurality of preset directions.

[0132] In this embodiment, the controller 112 is used to control the transmission and / or reception of the ultrasonic signal by the ultrasonic transducer module 111; wherein the received ultrasonic signal is used to determine the blood vessel data and the blood data.

[0133] The blood vessel data may include data such as the blood vessel diameter and blood vessel cross-sectional area in different states. Different states may include the vasodilation state and vasodilation state of the blood vessel. The blood vessel data may also include the degree of vascular sclerosis, etc. The blood data may include data such as blood flow rate and blood viscosity.

[0134] The wearing part 120 is used to assist the monitoring part 110 to approach and / or contact the part to be monitored. The part to be monitored may be the upper arm of the subject.

[0135] Optionally, the wearing portion 120 may be an armband, which may be wrapped around the upper arm of the person being tested. Exemplarily, the wearing portion 120 may include two armbands, namely a first armband and a second armband. One end of the first armband may be connected to the ultrasonic transducer module 111, and one end of the second armband may be connected to the ultrasonic transducer module 111. The first armband and the second armband may be connected by means of Velcro, a buckle, or the like. Exemplarily, the wearing portion 120 may be an armband, which may be provided with a storage space, and the ultrasonic transducer module 111 may be placed in the storage space. The two ends of the armband may be connected by means of Velcro, a buckle, or the like.

[0136] exist Figure 2 In the example shown, the wearing part 120 is a flexible armband. The material of the flexible armband is a bendable material to match the curve of the part to be monitored of the tested person. Taking the part to be monitored as the upper arm as an example, the flexible armband can be wrapped around the upper arm so that the ultrasonic transducer module 111 can be attached to the skin surface of the upper arm.

[0137] Before using the blood pressure monitoring device 100 for blood pressure monitoring, the blood pressure monitoring device 100 can be worn on the part to be monitored. Taking the upper arm as an example, the wearing part 120 of the blood pressure monitoring device 100 surrounds the upper arm so that the ultrasonic transducer module 111 of the blood pressure monitoring device 100 can fit the upper arm. After wearing, the ultrasonic transducer module 111 can be driven by the controller 112 to emit ultrasonic signals.

[0138] By transmitting signals to the part to be monitored through the ultrasonic ring energy module, blood vessel related data can be collected and blood pressure can be determined based on the data. Blood pressure can be monitored without squeezing the part to be monitored.

[0139] In order to facilitate the viewing of blood pressure data, the blood pressure monitoring device 100 may also be provided with a display (not shown) for viewing relevant data during the blood pressure monitoring process.

[0140] The display may be provided in the monitoring unit 110 to display blood pressure monitoring data. The blood pressure monitoring data may include data generated during the blood pressure monitoring process and the results obtained by the blood pressure monitoring. The data generated during the blood pressure monitoring process may include blood vessel data and blood data.

[0141] Exemplarily, the display may be arranged at Figure 2 The other side of the monitoring portion 110 in the example shown.

[0142] The controller 112 is electrically connected to the display to send blood pressure monitoring data to the display.

[0143] Optionally, the display can display various blood pressure monitoring data obtained by the latest monitoring in real time. For example, each blood pressure monitoring data can be displayed in a table. For another example, each blood pressure monitoring data can be displayed in a matrix. For another example, each blood pressure monitoring data can also be presented in the form of multiple groups of numerical values.

[0144] Optionally, the display may also display the changes of various blood pressure monitoring data over time. Exemplarily, the changes of various blood pressure monitoring data of one or more cycles may be displayed. For example, various blood pressure monitoring data of one or more cycles may be displayed in the form of a bar graph. For another example, various blood pressure monitoring data of one or more cycles may be displayed in the form of a two-dimensional curve graph. For another example, the values ​​of each blood pressure monitoring data in one or more cycles may be presented in the form of a set of arrays.

[0145] In this embodiment, the blood pressure monitoring device 100 may further include a power supply unit (not shown). The power supply unit may be used to supply power to electrical components in the blood pressure monitoring device 100 .

[0146] Optionally, the power supply unit may be disposed on the first side of the display and electrically connected to the display, the controller 112 and the ultrasonic transducer module 111 respectively, so as to provide electrical energy.

[0147] The first side may be a side of the display away from the display screen. Exemplarily, the second side may be a side where data is displayed, and the first side is a side where the first side parallel to the second side is located.

[0148] Optionally, the power supply unit may include a battery, through which the power-consuming components in the blood pressure monitoring device 100 are powered. The power supply unit may be electrically connected to the display, the controller 112 and the ultrasonic transducer module 111 respectively to provide power to the display, the controller 112 and the ultrasonic transducer module 111.

[0149] Optionally, the power supply unit may further include a charging interface 113 for connecting a power source to charge the battery. The charging interface 113 may be a universal interface, such as a USB interface, a Type-C interface, etc. Optionally, the power supply unit may further include a wireless charging module for wirelessly charging the battery.

[0150] By setting the above power supply unit, it is possible to more flexibly supply power to various power-consuming components of the blood pressure monitoring device, thereby improving the working stability of the blood pressure monitoring device 100. Furthermore, by setting two charging modes, wireless charging and wired charging, charging can also be made more flexible.

[0151] In the embodiments of the present application, Figure 3a , Figure 3b and Figure 4aAs shown, the ultrasonic transducer module 111 may include a multi-layer structure, including: a transducer layer 1111 , a flexible circuit board layer 1112 , and a matching layer 1113 .

[0152] Optionally, the wearing portion 120 may be provided with a hollow accommodation space, the transducer layer 1111 and the flexible circuit board layer 1112 are built in the hollow accommodation space, and the contact portion between the wearing portion 120 and the transducer layer 1111 serves as a matching layer 1113 .

[0153] In order to facilitate more stable wearing, an anti-slip structure 130 may be provided on the wearing portion 120 .

[0154] Exemplarily, the anti-skid structure 130 includes one or more of a plurality of anti-skid protrusions and an anti-skid coating. The anti-skid structure 130 may be made of rubber, carbon fiber, polyurethane, or the like. Figure 2 In the example shown, the anti-skid structure 130 is a plurality of anti-skid protrusions.

[0155] The transducer layer 1111 includes a plurality of transducers. Figure 3a and Figure 3b In the example shown, the multiple transducers are arranged in a matrix. For example, the multiple transducers can be arranged horizontally and vertically to form a transducer array. The number of rows and columns of the transducers can be the same or different. Some of the multiple transducers can be arranged parallel to the flexible circuit board layer 1112; another part of the multiple transducers can be arranged obliquely to the flexible circuit board layer 1112.

[0156] Optionally, the material of the transducer may be ceramic. The transducer may be piezoelectric ceramic. The piezoelectric ceramic transmits and receives ultrasonic signals to perform imaging processing on the part to be monitored. The part to be monitored may contain arterial blood vessels, and the arterial blood vessels inside the part to be monitored can be identified through imaging processing.

[0157] Exemplarily, the plurality of transducers may include a first transducer 11111 and a second transducer 11112. Figure 3a As shown, it shows multiple columns of first transducer columns and multiple columns of second transducer columns.

[0158] The first transducer 11111 and the second transducer 11112 may be arranged in an array. The array may include a first type of transducer column including the first transducer 11111, and the array may include a second type of transducer column including the second transducer 11112. The first type of transducer column and the second type of transducer column are arranged according to a set rule.

[0159] exist Figure 3aIn the example shown, three columns of second transducer columns are included, and the rest are first transducer columns. Since the second transducers 11112 in the three columns of second transducer columns form an acute angle with the flexible circuit board layer 1112, the second transducers 11112 in the three columns of second transducer columns have different areas in the plane.

[0160] The setting rule may be a rule of alternating arrangement, for example, the first type of transducer column and the second type of transducer column are arranged alternately. The setting rule may be a rule that the first type of transducer column and the second type of transducer column are arranged according to a set ratio. For example, the ratio of the first type of transducer column to the second type of transducer column is 2:1, then the number of columns of the first type of transducer column is twice the number of columns of the second type of transducer column. Specifically, two columns of the first type of transducer column may be arranged, and then one column of the second type of transducer column may be arranged. The setting rule may be a rule that the second type of transducer column and the first type of transducer column are arranged in sequence according to a set ratio. For example, six columns of transducers need to be arranged, and the ratio of the first type of transducer column to the second type of transducer column is 2:1:2:1, then two columns of the first type of transducer column may be arranged, and then one column of the second type of transducer column may be arranged. Of course, based on different actual needs, the setting rule may also be other rules designed on demand.

[0161] exist Figure 3b In the example shown, the first column is a column formed by the second transducer 11112, the second column is a column formed by the first transducer 11111, the third column and the fourth column are columns formed by the second transducer 11112, the fifth column is a column formed by the first transducer 11111, and the sixth column is a column formed by the second transducer 11112. It can be understood that when the transducer array is actually manufactured, it may include more or fewer columns of transducers, and the number of transducers in each column may also be more or less than the example shown in the figure.

[0162] Optionally, the matching layer 1113 may be made of a flexible material, for example, silicone or flexible epoxy resin.

[0163] When the blood pressure monitoring device 100 is worn, the matching layer 1113 may be a layer in contact with the skin. The matching layer 1113 is designed to be a flexible material, which can better fit the part to be monitored, and reduce the probability of inaccurate measurement due to a small gap between the ultrasonic transducer and the part to be monitored. It can not only meet the wearing comfort, but also play the function of impedance matching, and maintain the fit between the blood pressure monitoring device 100 and the part to be monitored.

[0164] In order to further improve the wearing comfort, Figure 4aAs shown, the matching layer 1113 may be provided with a plurality of grooves 11131. The grooves 11131 are provided at the gaps between the transducers, and the transducers are the first transducer 11111 or the second transducer 11112. Figure 4a In the example shown, both sides of each column of transducers are provided with grooves 11131. Of course, both sides of each row of transducers may also be provided with grooves 11131.

[0165] Optionally, a groove 11131 may be provided in the region of every two transducers. As long as the contact between the transducer part and the part to be monitored is not affected, the groove 11131 may be provided arbitrarily as required.

[0166] By providing the groove 11131, a gap can be formed between the blood pressure monitoring device 100 and the part to be monitored, and the gap can also form an air duct to increase the comfort of the part to be monitored. Since the groove 11131 is not provided at the corresponding position of the transducer, it does not affect the contact between the transducer part of the blood pressure monitoring device 100 and the part to be monitored.

[0167] Optionally, a backing layer 1114 may be provided on a side of the flexible circuit board layer 1112 away from the transducer. The thickness of the backing layer 1114 may be greater than the thickness of the flexible circuit board layer 1112.

[0168] In this embodiment, the ultrasonic transducer module 111 may include two ultrasonic transducer parts, namely a first ultrasonic transducer part and a second ultrasonic transducer part.

[0169] The first ultrasonic transducer transmits and / or receives ultrasonic signals in a first direction, and the first direction may be a direction perpendicular to the plane where the part to be monitored is located. If the part to be monitored is not the upper arm of the test subject, the first direction may be a direction perpendicular to the plane where the skin of the upper arm is located.

[0170] The second ultrasonic transducer transmits and / or receives ultrasonic signals in a second direction. The second direction may be a direction that forms an acute angle with the plane of the part to be monitored. Exemplarily, the second direction may be a direction perpendicular to the transmitting surface of the second ultrasonic transducer.

[0171] In this embodiment, the first ultrasonic transducer may include: a first transducer 11111, a first flexible circuit board layer 1112, and a first matching layer 1113. The first transducer 11111 and the first flexible circuit board layer 1112 are arranged in parallel.

[0172] In this embodiment, the second ultrasonic transducer unit includes: a second transducer 11112, a second flexible circuit board layer 1112 and a second matching layer 1113. The second transducer 11112 and the second flexible circuit board layer 1112 form a preset angle.

[0173] All of the first transducers 11111 and all of the second transducers 11112 may form a transducer layer 1111 .

[0174] The first flexible circuit board layer 1112 and the second flexible circuit board layer 1112 can form a flexible circuit board layer 1112, wherein the first flexible circuit board layer 1112 and the second flexible circuit board layer 1112 can be a whole flexible circuit board layer 1112, which can be understood as the first flexible circuit board layer 1112 and the second flexible circuit board layer 1112 can be an integral structure.

[0175] The first matching layer 1113 and the second matching layer 1113 may form a matching layer 1113, wherein the first matching layer 1113 and the second matching layer 1113 may be a whole matching layer 1113, which may be understood as an integral structure of the first matching layer 1113 and the second matching layer 1113. For example, the matching layer 1113 formed by the first matching layer 1113 and the second matching layer 1113 may be an integrally formed structure.

[0176] The preset angle formed by the second transducer 11112 and the second flexible circuit board layer 1112 is in the range of 0° to 60°. For example, the preset angle can be 10°, 20°, 30°, 35°, 60°, etc.

[0177] In order to facilitate the calculation of blood flow velocity, the preset angle formed by the second transducer 11112 and the second flexible circuit board layer 1112 may not be completely the same. Based on this, all the second transducers 11112 may include the second transducers 11112 of the first part and the second transducers 11112 of the second part.

[0178] The second transducer 11112 of the first part forms a first preset angle with the second flexible circuit board layer 1112, and the second transducer 11112 of the second part forms a second preset angle with the second flexible circuit board layer 1112; wherein the first preset angle and the second preset angle are angles of different sizes. Figure 3b As shown, the angles formed between the second transducer 11112 and the flexible circuit layer are different, resulting in different sizes of areas presented on the horizontal plane in the figure.

[0179] In this embodiment, the first preset angle is in the range of 0° to 60°, and the second preset angle is also in the range of 0° to 60°.

[0180] Optionally, the difference between the first preset angle and the second preset angle is not less than 10°. Exemplarily, the difference between the first preset angle and the second preset angle may be equal to 10°, 20°, 30°, 15°, 25°, etc. For example, the first preset angle may be 10°, and the second preset angle may be 20°. For another example, the first preset angle may be 20°, and the second preset angle may be 30°. For another example, the first preset angle may be 20°, and the second preset angle may be 40°. For another example, the first preset angle may be 25°, and the second preset angle may be 45°.

[0181] By pre-arranging transducers with different preset angles, the angle between each transducer and the flexible circuit layer can be used when calculating the blood flow velocity, so that the amount of calculation for calculating the blood flow velocity can be reduced.

[0182] The opening of the second transducer 11112 with a preset angle with the second flexible circuit board layer faces the first edge of the second flexible circuit board layer. Figure 4a As shown, the first edge can be Figure 4a As shown on the left edge, the opening direction of the preset angle between the second transducer 11112 and the second flexible circuit board layer can be toward the left.

[0183] The opening of the second transducer 11112 at a preset angle with the second flexible circuit board layer faces the second edge of the second flexible circuit board layer. The first edge and the second edge are different edges of the second flexible circuit board layer. Figure 4b As shown, the second edge can be Figure 4b As shown on the right edge, the opening direction of the preset angle between the second transducer 11112 and the second flexible circuit board layer can be toward the right.

[0184] The opening of a part of the second transducer 11112 at a preset angle with the second flexible circuit board layer faces the first edge of the second flexible circuit board layer, and the opening of another part of the second transducer 11112 at a preset angle with the second flexible circuit board layer faces the second edge of the second flexible circuit board layer. Figure 4c and Figure 4d Taking the example shown as an example, the opening direction of the preset angle between part of the second transducer 11112 and the second flexible circuit board layer can be leftward, and the opening direction of the preset angle between another part of the second transducer 11112 and the second flexible circuit board layer can be rightward.

[0185] Optionally, the transducers may be divided into a plurality of groups, each group including a first transducer 11111 and a second transducer 11112 with different orientations. The first transducer 11111 in the same transducer group is arranged between second transducers 11112 with different orientations, and the opening directions of the second transducers 11112 with different orientations in the same transducer group are all oriented away from the first transducer 11111. The first transducer 11111 may be arranged between two adjacent transducer groups, or the first transducer 11111 may not be arranged between two adjacent transducer groups. Figure 4d As shown in the example, every three transducers form a group, and no first transducer 11111 is arranged between two adjacent groups of transducers.

[0186] In a usage scenario, if in a wearing state, the direction of blood flow is Figure 4d As shown from left to right, in this case, the frequency of the second transducer 11112 on the right side of each transducer group measuring the blood flow velocity increases, and the frequency of the second transducer 11112 on the left side of each transducer group measuring the blood flow velocity decreases. The frequency offset can be eliminated or reduced under the action of the second transducers 11112 in two directions. If in another wearing state, the direction of blood flow is Figure 4d As shown from right to left, in this case, the frequency of the second transducer 11112 on the left side of each transducer group measuring the blood flow velocity increases, and the frequency of the second transducer 11112 on the right side of each transducer group measuring the blood flow velocity decreases, and the frequency offset can be eliminated or reduced under the action of the second transducers 11112 in two directions. By offsetting the frequency offset, the velocity measurement effect achieved by the second transducer 11112 can be better and more accurate.

[0187] In this embodiment, the controller 112 is the main unit of the blood monitoring device, which can drive the transducer to work and also perform signal processing. Figure 5 As shown, the controller 112 may include: a main control module 1121 , an ultrasonic transmitting module 1122 and a signal processing module 1123 .

[0188] The main control module 1121 can be electrically connected to a display to send the blood pressure monitoring result to the display so that the display can display the blood pressure monitoring result.

[0189] Exemplarily, the blood pressure monitoring result may be directly calculated by the main control module 1121, or the main control module 1121 sends the blood pressure monitoring data to the server 210, and the server 210 calculates the result. The main control module 1121 may communicate with the server 210 to implement data interaction with the server 210. Exemplarily, the main control module 1121 may be implemented as a microcontroller unit (MCU).

[0190] The input end of the ultrasonic transmitting module 1122 is electrically connected to the main control module 1121 , and the output end is electrically connected to the ultrasonic transducer module 111 , and is used to receive a control signal from the main control module 1121 and drive the ultrasonic transducer module 111 to transmit an ultrasonic signal.

[0191] Taking the upper arm as the part to be monitored, the ultrasound transmitting module 1122 can receive the control signal of the main control module 1121 and drive the ultrasound transducer to transmit ultrasound signals to the blood vessels in the upper arm.

[0192] The signal processing module 1123 has an input end electrically connected to the ultrasonic transducer module 111 and an output end electrically connected to the main control module 1121, and is used to receive and process the electrical signal fed back by the ultrasonic transducer module 111, and feed back the processing result to the main control module 1121. The main control module 1121 can be used to calculate the signal obtained by the signal processing module 1123 to obtain the blood pressure monitoring result.

[0193] The main control module 1121 can also be used to send the signal obtained by the signal processing module 1123 to the server 210 that is in communication with the blood pressure monitoring device 100, so that the server 210 can calculate the signal obtained by the signal processing module 1123 to obtain the blood pressure monitoring result. Optionally, the blood monitoring device can be provided with a communication unit, and the main control module 1121 can communicate with the server 210 through the communication unit to achieve data exchange with the server 210.

[0194] In this embodiment, the ultrasonic transmitting module 1122 may include an impedance matching circuit, a frequency generating circuit, and a power amplifying circuit. The impedance matching circuit may be electrically connected to the main control module 1121 to match the impedance value of the ultrasonic transducer module 111.

[0195] Exemplarily, the matching layer 1113 of the ultrasonic transducer module 111 is used to achieve an impedance matching function, and the impedance matching circuit can be used to match the impedance value of the matching layer 1113 of the ultrasonic transducer module 111 .

[0196] The frequency generating circuit may be electrically connected to the impedance matching circuit to form the initial power for driving the ultrasonic transducer module 111. The power amplifier circuit may be electrically connected to the frequency generating circuit to amplify the initial power so that the amplified power is used to drive the ultrasonic transducer module 111. In this embodiment, the amplification degree of the power amplifier circuit may be such that the amplified power is sufficient to drive the ultrasonic transducer module 111.

[0197] Through the coordination of various circuits of the ultrasonic transmitting module 1122 , impedance matching can be achieved by designing an impedance matching circuit, and power amplification can be achieved by designing a power amplification circuit so that the amplified power can drive the ultrasonic transducer module 111 more effectively.

[0198] Optionally, the signal processing module 1123 may include an amplification circuit, a filtering circuit and an AD conversion circuit.

[0199] The signal amplification circuit can be electrically connected to the ultrasonic transducer module 111 to receive the electrical signal fed back by the ultrasonic transducer module 111 and amplify the electrical signal. The filtering circuit can be electrically connected to the signal amplification circuit to receive the electrical signal amplified by the signal amplification circuit and perform filtering processing. The AD conversion circuit can be electrically connected to the filtering circuit to receive the signal after filtering by the filtering circuit and convert it into a digital signal.

[0200] By processing the signal through the various circuits of the signal processing module 1123, the error caused by the interference signal to the subsequent calculation can be reduced, and the calculation result can be made more accurate.

[0201] In order to more comprehensively understand the physical condition of the tested person, the blood pressure monitoring device 100 may further include a body monitoring component. The body monitoring component may be used to monitor the user's physical condition data.

[0202] The controller 112 may be configured to control the transmission and reception of ultrasonic signals by the ultrasonic transducer module 111 according to the user's physical condition monitored by the physical monitoring component.

[0203] Optionally, the body monitoring component includes one or more of a temperature sensor, a gyroscope, and a heart rate sensor.

[0204] The temperature sensor can be used to test the temperature of the testee. The temperature of the testee can be used as a basis for whether to start blood pressure monitoring. Exemplarily, when the temperature of the testee is within the set measurable temperature range, blood pressure monitoring is restarted, and the controller 112 drives the ultrasonic transducer module 111 to work. The measurable temperature range can be in the range where the body temperature of the testee is less than a specified value, for example, the specified value can be a temperature value such as 38°C, 37.5°C, 37.3°C, etc. The gyroscope can be used to test the motion state of the testee. The motion state of the testee can be used as a basis for whether to start blood pressure monitoring. Exemplarily, when the motion state of the testee is in the set measurable motion state, blood pressure monitoring is restarted, and the controller 112 drives the ultrasonic transducer module 111 to work. The heart rate sensor can be used to test the heart rate value of the testee. The heart rate value of the testee can be used as a basis for whether to start blood pressure monitoring. Exemplarily, when the heart rate value of the testee is in the set measurable heart rate range, blood pressure monitoring is restarted, and the controller 112 drives the ultrasonic transducer module 111 to work.

[0205] Optionally, if the physical condition detected by any body monitoring component is unmeasurable, blood pressure monitoring may be abandoned.

[0206] Optionally, the controller 112 may also be electrically connected to each body monitoring component to obtain body status data tested by each body monitoring component. The controller 112 may also transmit the body status data to a display for display.

[0207] Each body monitoring component can collect the body state data of the tested person according to a set time rule, for example, collecting data every five minutes, collecting data every morning and evening, collecting data every day, collecting data before blood pressure monitoring, etc.

[0208] The display can also display the body state data in a variety of display modes, for example, displaying the collected body state data in a table, displaying the collected body state data in a time sequence, or in a two-dimensional curve graph.

[0209] The blood pressure monitoring device 100 provided by the above embodiment can realize blood pressure monitoring without squeezing the part to be monitored, thereby improving the comfort of the user's measurement. In addition, the body monitoring component can be combined with the data obtained by the test of the body monitoring component to control the ultrasonic transducer device, so that the data obtained by the test can have less interference and better represent the condition of the person being tested.

[0210] See also Figure 6, is a flow chart of the blood pressure monitoring method provided in the embodiment of the present application. The blood pressure monitoring method provided in the embodiment of the present application can be applied to the blood pressure monitoring device 100, and the steps in the blood pressure monitoring method are performed by the blood pressure monitoring device 100. The blood pressure monitoring method provided in the embodiment of the present application can be applied to the server 210 that is communicatively connected to the blood pressure monitoring device 100, and the data transmitted by the blood pressure monitoring device 100 is calculated by the server 210 to perform the steps in the blood pressure monitoring method.

[0211] The blood pressure monitoring device 100 as the executing entity in this embodiment may be similar to the blood pressure monitoring device 100 provided in the aforementioned embodiment. The components included in the blood pressure monitoring device 100 may refer to the description in the aforementioned embodiment and will not be described again here.

[0212] The following will Figure 6 The specific process shown is described in detail.

[0213] Step 310: Transmit ultrasonic signals to a target area of ​​a target user along multiple preset directions through an ultrasonic transducer module of the blood pressure monitoring device.

[0214] Among them, multiple preset directions can be determined based on the setting direction of the transducer in the ultrasonic transducer module of the blood pressure monitoring device. The preset direction can be a direction perpendicular to the emitting surface of the transducer. For example, when the blood pressure monitoring device is in a wearable state, if the emitting surface of one of the transducers is parallel to the contact part of the skin of the target user, then the direction in which the transducer transmits the ultrasonic signal is perpendicular to the contact part of the skin of the target user. For another example, when the blood pressure monitoring device is in a wearable state, if the emitting surface of one of the transducers forms an angle α1 with the contact part of the skin of the target user, then the direction in which the transducer transmits the ultrasonic signal is an angle of 90°-α1 with the contact part of the skin of the target user.

[0215] The target area may be the area on the upper arm of the target user where the blood pressure monitoring device is worn, and the target area may include arterial blood vessels.

[0216] Step 320: Determine blood vessel data of the target area according to the ultrasound signal.

[0217] For example, the blood vessel data may include blood vessel diameter, blood vessel cross-sectional area, etc. The blood vessel diameter may include the diameter of the blood vessel in different states.

[0218] Optionally, an image of the target area may be determined based on the ultrasound signal, and blood vessel data of the target area may be determined based on the image.

[0219] Exemplarily, the arterial blood vessel region may be determined based on the image data of the target region, and the blood vessel data may be determined based on the recognition of the arterial blood vessel region.

[0220] In one case, if the image of the target area does not contain an image of an artery, it may mean that the blood pressure monitoring device is worn incorrectly or in an incorrect position, and a prompt message may be output to remind the user to adjust the position of the blood pressure monitoring device.

[0221] For example, if the obtained image of the target area is completely unrelated to the blood vessels, it means that the front and back of the blood pressure monitoring device may be installed incorrectly, and the prompt message can be used to instruct the user to adjust the front and back of the blood pressure monitoring device.

[0222] Exemplarily, if the obtained image of the target area includes a blood vessel image but not an arterial blood vessel image, the prompt message may be used to instruct the user to turn the blood pressure monitoring device.

[0223] In one case, if an image of an arterial blood vessel exists in the obtained image of the target area, it may indicate that the blood pressure monitoring device is worn correctly. Blood vessel data may be calculated based on the obtained image of the arterial blood vessel.

[0224] Optionally, the ultrasonic signal of the change cycle of at least one blood vessel can be continuously detected, and the image of the target area can be determined based on the ultrasonic signal of at least one change cycle. The blood vessel data of the target area can be obtained based on the image of the change cycle of at least one blood vessel. The change cycle of the blood vessel can be a cardiac cycle, which refers to the process experienced by the cardiovascular system from the start of one heartbeat to the start of the next heartbeat. Taking a heart rate of 75 beats / minute as an example, the time it takes to complete a cardiac cycle is 0.8s.

[0225] Optionally, before determining blood vessel data based on the ultrasound signal, the ultrasound signal may be preprocessed.

[0226] Step 330: determining blood data of blood vessels in the target area according to the ultrasound signal.

[0227] Among them, blood vessel data and blood data are used to calculate the blood pressure monitoring results of the target user.

[0228] Optionally, the calculation of the blood pressure monitoring result may be implemented by the blood pressure monitoring device, or may be implemented by a server that is in communication with the blood pressure monitoring device.

[0229] The calculation of blood data can be achieved using Doppler frequency shift.

[0230] Through the above method, blood pressure monitoring can be achieved without squeezing the target area of ​​the target user.

[0231] In an optional embodiment, if Figure 7 As shown, the blood pressure monitoring result passes through the following steps 410 to 430.

[0232] Step 410: Calculate the first type of blood pressure of the target user based on the blood vessel data.

[0233] In this embodiment, when calculating the first type of blood pressure, the ultrasonic transducer module can continuously transmit and receive ultrasonic signals to the target area, and determine the first type of blood pressure based on the continuous ultrasonic signals. It can be understood that continuously transmitting and receiving ultrasonic signals to the target area can transmit and receive ultrasonic signals multiple times in one or more cardiac cycles to calculate the blood pressure.

[0234] Step 420: Calculate the second type of blood pressure of the target user based on the blood vessel data and the blood data.

[0235] In this embodiment, when calculating the second type of blood pressure, the ultrasonic transducer module can continuously transmit and receive ultrasonic signals to the target area, and determine the second type of blood pressure based on the continuous ultrasonic signals.

[0236] In this embodiment, the first type of blood pressure and the second type of blood pressure may be blood pressures calculated using two different calculation methods.

[0237] Exemplarily, the first type of blood pressure can be calculated by a first calculation method, and the second type of blood pressure can be calculated by a second calculation method. The second calculation method and the first calculation method can be different calculation formulas.

[0238] Step 430, determining the blood pressure monitoring result of the target user according to the first type of blood pressure and the second type of blood pressure.

[0239] The blood pressure monitoring result may include a blood pressure value of the target user.

[0240] Optionally, the first type of blood pressure and the second type of blood pressure may be weighted to determine the blood pressure monitoring result of the target user. Exemplarily, the average of the first type of blood pressure and the second type of blood pressure may be calculated as the blood pressure monitoring result of the target user.

[0241] Exemplarily, the weights of the first and second blood pressures may be pre-stored. The weights of the first and second blood pressures are configured based on the user's age. The weights of the first and second blood pressures may also be configured based on the user's gender. The weights of the first and second blood pressures may also be configured based on the user's physical condition. For example, they may be configured to different values ​​based on the different degrees of vascular hardening of the user; for another example, the weights may be configured based on the user's daily measured degree of hypertension.

[0242] Exemplarily, the actual blood pressure of some test subjects and the two types of blood pressure determined based on the calculation method of the first and second types of blood pressure can be used to compare the two types of blood pressure with the actual blood pressure to determine the blood pressure with higher accuracy. For example, for all male test subjects, if the first type of blood pressure calculated by the first calculation method is closer to the actual blood pressure, then when calculating the blood pressure for male users, the weight of the first type of blood pressure can be set to a higher value, and the weight of the second type of blood pressure can be set to a lower value. For another example, for all elderly test subjects, if the second type of blood pressure calculated by the second calculation method is closer to the actual blood pressure, then when calculating the blood pressure for elderly users, the weight of the second type of blood pressure can be set to a higher value, and the weight of the first type of blood pressure can be set to a lower value. It can be understood that the above is only an example, and in actual situations, the weights of the two types of blood pressure can be determined based on actual analysis.

[0243] By analyzing the accuracy of blood pressure calculated by different calculation methods in combination with the experimenters, and determining the weights of different calculation methods based on the accuracy, the final blood pressure value can be closer to the actual value, making the blood pressure monitoring results more reliable.

[0244] In the above embodiment, the first type of blood pressure and the second type of blood pressure can be combined to calculate the blood pressure monitoring results of the target user, and the blood pressure can be determined by combining the two calculation logics, so that the results can better reduce the error of the blood pressure monitoring results and improve the accuracy of the blood pressure monitoring results.

[0245] In one implementation, the above step 410 may include: step 411 to step 413 .

[0246] Step 411, calculating the blood vessel cross-sectional area based on the blood vessel data.

[0247] For example, the blood vessel data may include the diameter of the blood vessel. The cross-sectional area of ​​the blood vessel may be calculated by assuming that the blood vessel is a cylinder and the cross-sectional area of ​​the blood vessel is a circle.

[0248] Step 412, calculating the target user's blood vessel status data based on the target user's systolic blood pressure and diastolic blood pressure.

[0249] The systolic pressure and the diastolic pressure are pre-measured values. Optionally, for the same user, after the systolic pressure and the diastolic pressure are measured, the values ​​can be used to calculate the blood pressure within a first specified time. The first specified time can be a week, three days, one day, ten days, etc.

[0250] The vascular status data is used to reflect the vascular condition of the target user. For the same user, the vascular status data will not change significantly in a short period of time. After the vascular status data is calculated, the value can be used to calculate the vascular status data within the second specified time.

[0251] Step 413, determining the first type of blood pressure of the target user based on the blood vessel cross-sectional area and the blood vessel status data.

[0252] Exemplarily, the blood vessel data includes data such as blood vessel diameter, blood vessel cross-sectional area, etc. The first type of blood pressure is determined by the following formula:

[0253]

[0254] Where P(t) represents the blood pressure value at time t; P D represents the diastolic blood pressure of the target user; P S represents the systolic blood pressure of the target user; A(t) represents the cross-sectional area of ​​the blood vessel at time t; A D A represents the cross-sectional area of ​​the target user's arterial diastolic pressure at the moment of vascular sedation; S represents the cross-sectional area of ​​the blood vessel at the moment of systolic pressure; d(t) represents the blood vessel diameter measured at time t; α represents the blood vessel status data.

[0255] In one implementation, step 420 may include steps 421 to 423 .

[0256] Step 421, determining the pulse wave velocity of the target user according to the blood vessel data.

[0257] The blood vessel data may include blood vessel diameters at different times. The pulse wave velocity of the target user may be determined based on changes in blood vessel diameters at different positions.

[0258] The pulse wave velocity can be determined in the following way: two transducers are randomly selected from the ultrasonic transducer module, and the two transducers can respectively measure the diameter change curve of the arterial blood vessel, and the time difference between the local peaks of the two diameter change curves can represent the time for the pulse wave to travel the distance between the two transducers. The distance between the two transducers divided by the time for the pulse wave to travel the distance between the two transducers can be used to obtain the pulse wave velocity.

[0259] Step 422, calculating the blood pressure change value compared to the diastolic blood pressure of the target user based on the blood vessel data and the pulse wave velocity.

[0260] Among them, the diastolic pressure is a value measured in advance.

[0261] Step 423, determining the second type of blood pressure of the target user according to the blood pressure change value and the diastolic pressure.

[0262] Exemplarily, the blood vessel data includes blood vessel diameters at multiple moments, the blood data includes blood flow rate, and the second type of blood pressure is determined by the following formula:

[0263]

[0264] P(t)=ΔP+P D ;

[0265] Wherein, ρ represents the blood density of the target user; ΔP represents the blood pressure change value relative to the diastolic blood pressure of the target user at time t; PWV represents the pulse wave velocity; d(t) represents the blood vessel diameter measured at time t; d D represents the maximum blood vessel diameter; P(t) represents the blood pressure value at time t; P D Indicates the target user's diastolic blood pressure.

[0266] The maximum blood vessel diameter may include a value of the blood vessel diameter when the blood vessel is in a dilated state.

[0267] For example, the image data of the target area can be continuously collected, and the change of the diameter of the artery in the target area can be determined based on the recognition of the image data. For example, a two-dimensional change curve of the diameter of the artery can be drawn, and its peak value is taken as the maximum value of the blood vessel diameter.

[0268] In one implementation, the above step 430 may include steps 431 to 433 .

[0269] Step 431 : determining a first hardening degree of a blood vessel of a target user according to the blood vessel data and the blood data.

[0270] The first hardening degree of the blood vessel may be a hardening degree of an arterial blood vessel in a target area of ​​the target user.

[0271] Optionally, the blood vessel data and the blood data may be input into a pre-trained hardening recognition model for recognition to determine a first hardening degree of the blood vessels of the target user.

[0272] The hardening identification model is any one of a binary classification model, a multi-classification model or a score evaluation model.

[0273] Optionally, vascular sclerosis classifications may be preset. Based on different classifications, different models may be used to determine the degree of sclerosis. For example, vascular sclerosis may be classified into two categories, and a two-category model may be used to identify the degree of vascular sclerosis. For example, vascular sclerosis may be classified into three or more categories, and a multi-classification model may be used to identify the degree of vascular sclerosis.

[0274] Optionally, the degree of hardening of the blood vessels may be presented as a score, and the score evaluation model may be used to identify the degree of hardening of the blood vessels.

[0275] Step 432: Determine first weight data of the target user according to the first hardening degree.

[0276] Blood pressure monitoring can be performed on users with different degrees of blood vessel hardening to determine the relationship between the blood pressures calculated by the two calculation methods of the first type of blood pressure and the second type of blood pressure and the standard blood pressure of users with different degrees of hardening, so as to determine the weights of different types of blood pressure for users with different degrees of hardening.

[0277] Take the example of vascular sclerosis being divided into two categories, namely, vascular sclerosis and normal blood vessels. Blood pressure monitoring is performed on multiple users with vascular sclerosis, and the first measured blood pressure is calculated in the same way as the first blood pressure and the second measured blood pressure is calculated in the same way as the second blood pressure. Standard blood pressure can also be obtained based on some available and relatively calibrated blood pressure measurement methods, such as arterial tension measurement. The standard blood pressure is compared with the first measured blood pressure and the second measured blood pressure to determine the weight distribution of blood pressures obtained by the two calculation methods for users with vascular sclerosis. Blood pressure monitoring is performed on multiple users with normal blood vessels, and the first measured blood pressure is calculated in the same way as the first blood pressure and the second measured blood pressure is calculated in the same way as the second blood pressure. Standard blood pressure can also be obtained based on some available and relatively calibrated blood pressure measurement methods. The standard blood pressure is compared with the first measured blood pressure and the second measured blood pressure to determine the weight distribution of blood pressures obtained by the two calculation methods for users with normal blood vessels.

[0278] In this embodiment, vascular sclerosis may also be divided into more categories, and for each category of vascular sclerosis, the weight distribution of the user's blood pressure obtained by the two calculation methods is determined using the above method.

[0279] If the degree of vascular hardening is presented in the form of a score, the vascular hardening score can be divided into multiple intervals, and the above method can be used to determine the weight distribution of the blood pressure obtained by the user in the two calculation methods for the vascular hardening in each interval. For example, if the score range of vascular hardening is 1 to 10, it can be divided into five intervals, namely: 1 and 2 as one interval, 3 and 4 as one interval, 5 and 6 as one interval, 7 and 8 as one interval, and 9 and 10 as one interval. Blood pressure monitoring is performed for multiple users in each interval, and the first and second blood pressure measurements are performed in the same calculation method as the first type of blood pressure. The standard blood pressure can also be obtained based on some available and relatively calibrated blood pressure measurement methods. The standard blood pressure is compared with the first and second blood pressure measurements to determine the weight distribution of the blood pressure obtained by the two calculation methods for users with normal blood vessels.

[0280] It is understandable that the corresponding weight configuration may be different depending on the classification of the degree of sclerosis. Specifically, the weight distribution of blood pressure obtained by the two calculation methods can be adaptively adjusted based on actual needs.

[0281] In this embodiment, after the weight distribution corresponding to the blood vessels at different degrees of sclerosis is determined based on the above method, the sclerosis degrees of various blood vessels and the weight distribution corresponding to the blood vessels at different degrees of sclerosis can be associated and stored. For example, they can be stored in a table, and the weight data can be queried in the table when needed.

[0282] The first weight data may include the weight of the first category of blood pressure and the weight of the second category of blood pressure.

[0283] Step 433: weight the first type of blood pressure and the second type of blood pressure according to the first weight data to determine the blood pressure monitoring result of the target user.

[0284] In one embodiment, if Figure 8 As shown, the hardening identification model is obtained by training through the following steps 510 to 530.

[0285] Step 510: input the training data set into the initial model for training to obtain an initial training model.

[0286] Before training, a sample data set may be obtained, and the sample data may be blood characteristics of users with different degrees of vascular sclerosis. The sample data may be divided into training data and verification data according to a ratio. For example, the ratio of training data to sample data may be 7:3.

[0287] The training data set includes multiple training data, and the training data includes sample blood characteristics, and the sample blood characteristics include one or more characteristics of maximum flow velocity, minimum flow velocity, blood vessel cross-sectional flow velocity distribution, flow velocity rise time, and flow velocity fall time.

[0288] Optionally, each item of sample data may be provided with a label, and the label is used to characterize the degree of vascular sclerosis of the user corresponding to the sample data.

[0289] Optionally, the initial model may be a model such as multiple linear regression, logistic regression, Lasso regression, decision tree, support vector machine, deep neural network, etc.

[0290] Step 520: Input the test data set into the initial training model to verify the accuracy of the initial training model.

[0291] If the accuracy reaches the preset threshold, the initial training model is used as the hardening recognition model. If the accuracy is less than the preset threshold, step 530 is executed.

[0292] If the accuracy is less than the preset threshold, but the number of training times has reached the preset training threshold, the training can be terminated and the initial model can be reselected to perform retraining through steps 510 to 530.

[0293] Step 530, training the initial training model until the accuracy reaches a preset threshold.

[0294] The evaluation result of the sclerosis identification model can be discrete, for example, it is a binary or multi-classification model, and the evaluation result is a certain sclerosis degree classification. The evaluation result of the sclerosis identification model can also be a continuous value, and its value can be used to represent the sclerosis degree of the blood vessel.

[0295] In the above implementation, when determining the blood pressure monitoring result, the degree of vascular hardening is also taken into consideration, so that the determined blood pressure monitoring result can better represent the current condition of the target user.

[0296] In an optional implementation, the above step 430 may further include: step 434 and step 435.

[0297] Step 434, calculating the third category blood pressure of the target user based on the blood vessel data and the blood data.

[0298] Step 435, determining the blood pressure monitoring result of the target user according to the first type of blood pressure, the second type of blood pressure and the third type of blood pressure.

[0299] The above-mentioned step 434 may include: calculating the blood vessel cross-sectional area based on the blood vessel data; calculating the blood vessel status data of the target user based on the systolic pressure and diastolic pressure of the target user, wherein the systolic pressure and the diastolic pressure are pre-measured values; determining the pulse wave velocity of the target user based on the blood vessel data; determining the third category blood pressure of the target user based on the blood vessel cross-sectional area, the blood vessel status data and the pulse wave velocity.

[0300] The above-mentioned blood vessel data include the blood vessel diameter, and the third category blood pressure is determined by the following formula:

[0301]

[0302]

[0303]

[0304] Where P(t) represents the blood pressure value at time t; A(t) represents the cross-sectional area of ​​the blood vessel at time t; P D and PS Respectively represent the diastolic and systolic blood pressure of the target user; A D and A S represents the cross-sectional area of ​​the blood vessel at the diastolic pressure moment and the cross-sectional area of ​​the blood vessel at the systolic pressure moment respectively; d(t) represents the blood vessel diameter measured at time t; α represents the blood vessel status data; ρ represents the blood density of the target user; PWV represents the pulse wave velocity; d D represents the maximum blood vessel diameter.

[0305] Exemplarily, the above-mentioned calculation of the third category of blood pressure of the target user based on the vascular data and the blood data includes obtaining the calculation method of the first category of blood pressure and the calculation method of the second category of blood pressure; constructing the calculation method of the third category of blood pressure based on the calculation method of the first category of blood pressure and the calculation method of the second category of blood pressure; inputting the vascular data and the blood data into the calculation formula of the third category of blood pressure to determine the third category of blood pressure of the target user.

[0306] It can be understood that the calculation formula for the third category of blood pressure is obtained based on the calculation formula for the first category of blood pressure and the calculation formula for the second category of blood pressure.

[0307] Specifically:

[0308]

[0309] In the formula, P D Eliminating can get the calculation formula for the third type of blood pressure.

[0310] In this embodiment, the above step 435 may include the following steps.

[0311] Step 4351, determining a second hardening degree of the target user's blood vessels based on the blood vessel data and the blood data.

[0312] The second hardening degree in this embodiment may be determined in a manner similar to the first hardening degree of the target user's blood vessel determined in step 431. For details, please refer to the content of the above step 431, which will not be repeated here.

[0313] Step 4352: Determine the second weight data of the target user according to the second hardening degree.

[0314] Blood pressure monitoring can be performed on users with different degrees of blood vessel hardening to determine the relationship between the blood pressures calculated by the two calculation methods of the first type of blood pressure, the second type of blood pressure and the third type of blood pressure and the standard blood pressure of users with different degrees of hardening, so as to determine the weights of different types of blood pressure for users with different degrees of hardening.

[0315] Take the example of vascular sclerosis being divided into two categories, namely, vascular sclerosis and normal blood vessels. Blood pressure is monitored for multiple users with vascular sclerosis, and the first measured blood pressure is calculated in the same way as the first blood pressure, the second measured blood pressure is calculated in the same way as the second blood pressure, and the third measured blood pressure is calculated in the same way as the third blood pressure. Standard blood pressure can also be obtained based on some available and relatively calibrated blood pressure measurement methods, such as arterial tension measurement. The standard blood pressure is compared with the first measured blood pressure, the second measured blood pressure, and the third measured blood pressure to determine the weight distribution of the blood pressures obtained by the three calculation methods for users with vascular sclerosis.

[0316] In this embodiment, vascular sclerosis may also be divided into more categories, and for each category of vascular sclerosis, the weight distribution of the user's blood pressure obtained by the three calculation methods is determined using the above method.

[0317] In this embodiment, after the weight distribution corresponding to the blood vessels at different degrees of sclerosis is determined based on the above method, the sclerosis degrees of various blood vessels and the weight distribution corresponding to the blood vessels at different degrees of sclerosis can be associated and stored. For example, they can be stored in a table, and the weight data can be queried in the table when needed. The table can be represented as a pre-stored reference data table.

[0318] Optionally, the degree of vascular sclerosis is matched with a pre-stored comparison data table to determine second weight data corresponding to the second degree of sclerosis, wherein the pre-stored comparison data table includes multiple different degrees of vascular sclerosis and adjustment data corresponding to each degree of sclerosis, and the adjustment data may include weight data.

[0319] The second weight data may include the weight of the first category of blood pressure, the weight of the second category of blood pressure, and the weight of the third category of blood pressure.

[0320] Step 4353, weighting the first category blood pressure, the second category blood pressure and the third category blood pressure according to the second weight data to determine the blood pressure monitoring result of the target user.

[0321] like Fig. 9 As shown, the above-mentioned pre-stored comparison data table goes through the following steps 610 and 620.

[0322] Step 610, for multiple subjects whose vascular sclerosis degree is the target vascular sclerosis degree, the first calculation method, the second calculation method and the third calculation method are used to calculate the three types of blood pressure values ​​of each subject.

[0323] Among them, the first calculation method is a method for calculating the first category of blood pressure, the second calculation method is a method for calculating the second category of blood pressure, and the third calculation method is a method for calculating the third category of blood pressure.

[0324] Step 620, comparing the three types of blood pressure values ​​with the actual blood pressures of multiple subjects to determine weight data for the first calculation method, the second calculation method, and the third calculation method.

[0325] For example, the three types of blood pressure values ​​of each subject can be compared and weighted with the actual blood pressure value to determine the weights of the three types of blood pressure values ​​for the subject. Furthermore, the weights of multiple subjects with the target hardening degree can be summarized to determine the weight data of the first calculation method, the second calculation method, and the third calculation method corresponding to the target hardening degree. In one example, the weights of multiple subjects in the same calculation method can be averaged to obtain the weight of the calculation method.

[0326] For example, the three types of blood pressure values ​​of each subject can be compared with their actual blood pressure values ​​to determine the difference between the blood pressure values ​​obtained under different calculation methods and the actual blood pressure; and the weights of different calculation methods can be determined based on the difference. In one example, the larger the difference, the smaller the weight of the corresponding calculation method, and the smaller the difference, the larger the weight of the corresponding calculation method.

[0327] The weights corresponding to other hardening degrees may also be determined by using the above-mentioned steps 610 and 620, which will not be described in detail here.

[0328] In the above implementation, since the weights of each calculation method can match the different degrees of hardening of the blood vessels, the weight data of each call can better meet the actual needs of the target user, which can make the calculated blood pressure monitoring results more accurate.

[0329] Taking into account the different degrees of hardening of blood vessels, the three types of blood pressure determined by the above three calculation methods may be different from the actual blood pressure. Therefore, before determining the weights of the three types of blood pressure, the three calculation methods can be calibrated and the three types of blood pressure can be calculated using the corrected calculation methods.

[0330] In an optional embodiment, if Fig.10 As shown, the blood pressure monitoring result is calculated through the following steps 710 to 760.

[0331] Step 710: Determine a third hardening degree of the target user's blood vessels based on the blood vessel data and the blood data.

[0332] The method for determining the third hardening degree in this embodiment may be similar to the method for determining the first hardening degree of the target user's blood vessel in step 431. For details, please refer to the content of the above step 431, which will not be repeated here.

[0333] Step 720: Determine a first adjustment parameter of the target user according to the third hardening degree.

[0334] The first adjustment parameter includes first correction data.

[0335] Optionally, adjustment parameters corresponding to different hardening degrees may be pre-stored. For example, the adjustment parameters in the pre-stored comparison data table may also include correction data. After determining the third hardening degree, the corresponding first adjustment parameter may be found based on the third hardening degree.

[0336] The first correction data may include correction data of the first calculation method and correction data of the second calculation method.

[0337] Step 730, calibrating the first calculation method and the second calculation method according to the first correction coefficient to obtain a first corrected calculation method and a second corrected calculation method.

[0338] Among them, the first calculation method and the second calculation method are preset blood pressure calculation formulas.

[0339] Exemplarily, the first calculation method may be an initial calculation formula required to calculate the first type of blood pressure, and the second calculation method may be an initial calculation formula required to calculate the second type of blood pressure. It is understandable that if the first calculation method does not require correction, the blood pressure calculated by the first calculation method may be determined as the first type of blood pressure; if the first calculation method requires correction, the blood pressure calculated by the first calculation method after correction may be determined as the first type of blood pressure. If the second calculation method does not require correction, the blood pressure calculated by the second calculation method may be determined as the second type of blood pressure; if the second calculation method requires correction, the blood pressure calculated by the second calculation method after correction may be determined as the second type of blood pressure.

[0340] Step 740, calculating the first type of blood pressure using a first correction calculation method according to the blood vessel data.

[0341] Step 750, calculating the second type of blood pressure using a second correction calculation method according to the blood vessel data and the blood data.

[0342] Step 760, determining the blood pressure monitoring result of the target user according to the first type of blood pressure and the second type of blood pressure.

[0343] The first adjustment parameter also includes third weight data; the third weight data may include the weight of the first category of blood pressure and the weight of the second category of blood pressure.

[0344] The third weight data may be used to perform weighted calculation on the first category of blood pressure and the second category of blood pressure to obtain the blood pressure monitoring result of the target user.

[0345] In an optional embodiment, if Fig.11As shown, the blood pressure monitoring result is calculated through the following steps 810 to 870.

[0346] Step 810: Determine a fourth hardening degree of the target user's blood vessels based on the blood vessel data and the blood data.

[0347] The fourth hardening degree in this embodiment may be determined in a manner similar to the first hardening degree of the target user's blood vessel determined in step 431. For details, please refer to the content of the above step 431, which will not be repeated here.

[0348] Step 820: Determine a second adjustment parameter of the target user according to the fourth hardening degree.

[0349] The first adjustment parameter may include second correction data.

[0350] Optionally, adjustment parameters corresponding to different hardening degrees may be pre-stored. For example, the adjustment parameters in the pre-stored comparison data table may also include correction data. After determining the fourth hardening degree, the corresponding second adjustment parameter may be found based on the fourth hardening degree.

[0351] The second correction data may include correction data of the first calculation method, correction data of the second calculation method, and correction data of the third calculation method.

[0352] Step 830, calibrating the first calculation method, the second calculation method and the third calculation method according to the second correction coefficient to obtain the first correction calculation method, the second correction calculation method and the third correction calculation method.

[0353] Among them, the first calculation method, the second calculation method and the third calculation method are preset blood pressure calculation formulas.

[0354] Exemplarily, the first calculation method may be an initial calculation formula required for calculating the first type of blood pressure, the second calculation method may be an initial calculation formula required for calculating the second type of blood pressure, and the third calculation method may be an initial calculation formula required for calculating the third type of blood pressure. It is understandable that if the first calculation method does not require correction, the blood pressure calculated by the first calculation method may be determined as the first type of blood pressure; if the first calculation method requires correction, the blood pressure calculated by the first calculation method after correction may be determined as the first type of blood pressure. If the second calculation method does not require correction, the blood pressure calculated by the second calculation method may be determined as the second type of blood pressure; if the second calculation method requires correction, the blood pressure calculated by the second calculation method after correction may be determined as the second type of blood pressure. If the third calculation method does not require correction, the blood pressure calculated by the third calculation method may be determined as the third type of blood pressure; if the third calculation method requires correction, the blood pressure calculated by the third calculation method after correction may be determined as the third type of blood pressure.

[0355] Step 840, calculating the first type of blood pressure using a first correction calculation method according to the blood vessel data.

[0356] Step 850, calculating the second type of blood pressure using a second correction calculation method based on the blood vessel data and the blood data.

[0357] Step 860, calculating the third category of blood pressure using a third correction calculation method based on the blood vessel data and the blood data.

[0358] Step 870, determining the blood pressure monitoring result of the target user according to the first type of blood pressure, the second type of blood pressure and the third type of blood pressure.

[0359] The above-mentioned second adjustment parameter also includes fourth weight data, and the fourth weight data may include the weight of the first category of blood pressure, the weight of the second category of blood pressure and the weight of the third category of blood pressure.

[0360] The fourth weight data may be used to perform weighted calculation on the first category blood pressure, the second category blood pressure, and the third category blood pressure to obtain the blood pressure monitoring result of the target user.

[0361] Through the above-mentioned method, when calculating the blood pressure monitoring results, the calculation method can also be corrected based on the actual situation, so that the determined blood pressure monitoring results can be more accurate.

[0362] In this embodiment, the correction data can be determined when determining the pre-stored comparison data table. Determining the pre-stored comparison data table can also include: comparing the three types of blood pressure values ​​with the actual blood pressures of multiple test subjects to determine the correction data of the first calculation method, the second calculation method, and the third calculation method.

[0363] For example, the three types of blood pressure values ​​of each subject can be compared and weighted with the actual blood pressure value to determine the correction coefficients of the three types of blood pressure values ​​for the subject. Furthermore, the correction coefficients corresponding to multiple subjects of the target hardening degree can be summarized to determine the correction data of the first calculation method, the second calculation method, and the third calculation method corresponding to the target hardening degree. In one example, the correction coefficients of multiple subjects in the same calculation method can be averaged to obtain the correction coefficient of the calculation method.

[0364] For example, the three types of blood pressure values ​​of each subject can be compared with their actual blood pressure values ​​to determine the ratio of the blood pressure values ​​obtained under different calculation methods to the actual blood pressure; based on the ratio, the correction coefficients under different calculation methods can be determined. In one example, the average of the correction coefficients of multiple subjects under the same calculation method can be taken as the correction data of the calculation method.

[0365] Exemplarily, for the same subject, under the first calculation method, the blood pressure values ​​obtained at different times and the actual blood pressure values ​​obtained at different times are used to determine the blood pressure change curve of the blood pressure values ​​calculated by the first calculation method and the blood pressure change curve of the subject's actual blood pressure. The two blood pressure change curves can be compared and compared, and the first calculation method is corrected so that the blood pressure change curve of the blood pressure value calculated by the method is closer to the blood pressure change curve of the actual blood pressure. The correction data of the subject under the first calculation method is obtained during the correction process. For multiple subjects, the correction data corresponding to each subject under the first calculation method can be determined based on the above method. The correction data of multiple subjects can be summarized to determine the correction data of the first calculation method.

[0366] Based on a method similar to the first calculation method described above, correction data for the second calculation method and the third calculation method may be determined.

[0367] Optionally, the degree of fit of the first calculation method can also be determined based on the difference between the corrected first calculation method and the initial first calculation method. The greater the difference, the smaller the degree of fit. The weight of each calculation method can be determined based on the degree of fit.

[0368] In one example, the degree of fit of the first calculation method may be R1, the degree of fit of the second calculation method may be R2, and the degree of fit of the third calculation method may be R3. The weight of the first calculation method may be expressed as: The weight of the second calculation method can be expressed as: The weight of the third calculation method can be expressed as:

[0369] The degree of vascular sclerosis of the test subject in the above example may be the target degree of vascular sclerosis. Based on this, the correction data of each calculation method determined above may be the correction data corresponding to the target degree of vascular sclerosis. Correction data for other degrees of vascular sclerosis may be determined in a similar manner to the above example, which will not be described in detail here.

[0370] Through the above method, the calculation method can be adaptively adjusted when the blood vessels are in different degrees of hardening, so that the determined calculation method can more accurately calculate the blood pressure at the corresponding hardening degree.

[0371] In this embodiment, Fig.12 As shown, the above step 320 may include steps 321 to 323.

[0372] Step 321: Determine the transducer located in the blood vessel region according to the ultrasound signal.

[0373] For example, an image of the target area can be determined based on the ultrasound signal, and the arterial blood vessel can be identified based on the image. After the arterial blood vessel is identified, the transducer located in the blood vessel area can be determined from the transducer array.

[0374] Taking the blood pressure detection device pressed flat on the upper arm as an example, the transducer in the blood vessel area may refer to the transducer in the area facing the arterial blood vessel.

[0375] Step 322: Determine the acquisition area of ​​the blood vessel based on the transducer located in the blood vessel area.

[0376] The acquisition area may represent the area covered by the transducer of the blood vessel area. Fig.13 Taking the example shown as an example, Fig.13 A transducer array is shown. The transducer array in this example is arranged in a matrix. In order of rows and columns, the transducer units in each row are named d11, d21, ..., dn1; the transducer units in each column are named d11, d12, ..., d1n; the distance between the transducer units is a set value.

[0377] The line L1 and the line L2 may respectively represent the position of the arterial blood vessel corresponding to the blood vessel wall on the transducer array, and the line L3 may represent the midline between the line L1 and the line L2. Fig.13 In the example shown, the area where the transducer is located, indicated by a grid pattern, can be determined as the acquisition area.

[0378] Step 323, determining the blood vessel data of the target area according to the acquisition area.

[0379] The blood vessel data may include a blood vessel diameter, and the blood vessel diameter may be determined based on the distance between the line L1 and the line L2.

[0380] For example, the target area can be continuously detected, and the blood vessel diameters at multiple moments can be obtained, which may include the maximum value and minimum value of the blood vessel diameter. The maximum value of the blood vessel diameter may be the diameter in the vasodilation state, and the minimum value of the blood vessel diameter may be the diameter in the vasoconstriction state.

[0381] Optionally, the plurality of preset directions include a first direction, which may be a direction perpendicular to the contact surface of the target area. For example, if the target area is an upper arm of the target user, the first direction may be a direction perpendicular to the contact surface of the target area.

[0382] The above-mentioned step 321 may include: drawing a regional image of the target area based on multiple ultrasonic signals emitted to the target area of ​​the target user along the first direction; performing grayscale recognition on the regional image to determine the arterial blood vessel area; based on the arterial blood vessel area, determining the transducer located in the blood vessel area from each transducer in the ultrasonic transducer module.

[0383] Before using the ultrasonic signal to draw a regional image of the target area, the ultrasonic signal may be preprocessed.

[0384] Before grayscale recognition is performed on the region image, the region image of the target region can be converted into a grayscale image. The converted grayscale image is recognized to determine the blood vessel wall. The region between two blood vessel walls can be determined as the blood vessel region.

[0385] Based on the above method, regional images of the target region at multiple moments can be drawn, wherein the arterial blood vessels of the target region at multiple moments switch between different blood vessel states.

[0386] The above-mentioned grayscale recognition of the regional image to determine the arterial blood vessel area may include: for the regional images under different blood vessel states, grayscale recognition is performed on the regional images under different blood vessel states respectively to determine the blood vessel areas under different blood vessel states; whether the change in the number of pixels in the corresponding blood vessel area under different blood vessel states exceeds a set threshold, and whether the change period of the corresponding blood vessel area is within a set interval, if both are true, it is determined to be an arterial blood vessel area.

[0387] Different vascular states may include vasodilation state, vasoconstriction state, etc.

[0388] The threshold value may be set according to actual needs. For example, the threshold value may be determined based on the coverage area of ​​the ultrasonic transducer module. The larger the coverage area of ​​the ultrasonic transducer module, the larger the threshold value may be.

[0389] If the change in the number of pixels in the corresponding blood vessel region under different blood vessel states exceeds a set threshold, it may indicate that the change in the dilation and contraction of the blood vessel region is relatively large.

[0390] The vascular area change cycle may represent a complete change cycle formed by the vascular area changing from a minimum state to a maximum state and then back to the minimum state. The vascular area change cycle may also represent a complete change cycle formed by the vascular area changing from a maximum state to a minimum state and then back to the maximum state. The vascular area from the minimum state may represent a state when the distance between the two vascular walls of the blood vessel is the minimum, and the vascular area from the maximum state may represent a state when the distance between the two vascular walls of the blood vessel is the maximum.

[0391] The change cycle of the blood vessel region within the set interval can indicate that the change cycle of the blood vessel conforms to the change range of the cardiac cycle, indicating that the blood vessel may be an arterial blood vessel.

[0392] The set interval can be set based on the actual cardiac cycle, and the set interval includes the floating interval of the cardiac cycle of a normal person. Exemplarily, the minimum endpoint of the set interval can be slightly smaller than the minimum value of the cardiac cycle of a normal person, and the maximum endpoint of the set interval can be slightly larger than the maximum value of the cardiac cycle of a normal person.

[0393] For example, the cardiac cycle is usually between 0.6s and 1s, so the minimum endpoint of the set interval can be slightly smaller than the minimum value of 0.6s of the cardiac cycle of a normal person, and the maximum endpoint of the set interval can be slightly larger than the maximum value of 1s of the cardiac cycle of a normal person. For example, the set interval can be (0.5, 1.2), (0.4, 1.3), etc.

[0394] The above-mentioned step 323 may include: determining a first distance between the transducer and the first wall of the arterial blood vessel according to the acquisition area; determining a second distance between the transducer and the second wall of the arterial blood vessel according to the acquisition area; determining a first angle formed by the arterial blood vessel and the target transducer according to the distance between any two target transducers in the acquisition area and the distance between the two target transducers and the first wall of the arterial blood vessel; determining the blood vessel data of the marked area according to the first distance, the first distance and the first angle.

[0395] The first distance mentioned above is determined by the following formula:

[0396]

[0397] Wherein, D1 represents the distance between the blood vessel wall and the transducer; N1 represents the pixel point sequence of the blood vessel wall of the arterial blood vessel obtained by scanning the first ultrasonic signal; f s represents the sampling frequency of the first transducer corresponding to the first ultrasonic signal; c represents the speed of sound in the blood.

[0398] The first distance mentioned above is determined by the following formula:

[0399]

[0400] Wherein, D2 represents the distance between the blood vessel wall and the transducer; N2 represents the pixel point sequence of the blood vessel wall of the arterial blood vessel obtained by scanning the first ultrasonic signal; f s represents the sampling frequency of the first transducer corresponding to the first ultrasonic signal; c represents the speed of sound in the blood.

[0401] The sampling frequency of the first transducer may be a preset value, or a value determined based on the performance of the first transducer. The velocity of sound in the blood may be a determined value, which may be considered as a constant.

[0402] In one example, the transducer scans 1024 points at a time. At the 200th point, the gray value reaches a local peak value. The point of the local peak value can represent the position of the blood vessel wall. Then the position of the 200th point can represent the blood vessel wall close to the transducer. The 500th point is also a local peak value. The point of the local peak value can also represent the position of the blood vessel wall, which can represent the position of the deeper blood vessel wall. In this example, the value of N1 can be 200, and the value of N2 can be 500. Of course, in actual situations, the values ​​of N1 and N2 may be other values.

[0403] by Fig.14 For example, the two target transducers can be transducers d x1y1 and d x2y2 , the two blood vessel walls can be represented by the first wall Vw1 and the second wall Vw2 respectively; the transducer d x1y1 The distance from the first wall Vw1 of the arterial blood vessel can be expressed as D11. x2y2 The distance from the first wall Vw1 of the arterial blood vessel may be expressed as D12.

[0404] Among them, the transducer d x1y1 and d x2y2 The distance between them is the only value determined after the transducer array is arranged.

[0405] exist Fig.14 In the example shown, the first angle can be expressed as:

[0406]

[0407] Wherein, l represents the distance between two adjacent transducers in the transducer array.

[0408] The first angle may represent an angle between the first transducer and an arterial blood vessel in the target area.

[0409] The blood vessel data may include the blood vessel diameter, which may be calculated using the following formula:

[0410] In one embodiment, the plurality of preset directions include a first direction and a second direction; and the ultrasonic signal includes a first ultrasonic signal emitted along the first direction. The above step 330 may include step 331 and step 332 .

[0411] Step 331: Determine a first angle formed by an arterial blood vessel in a target area and a target transducer according to the first ultrasonic signal.

[0412] The calculation method of the first angle can refer to the calculation method of the first angle in the aforementioned embodiment, which will not be repeated here.

[0413] Step 332, determining blood data of blood vessels in the target area according to the first angle, the Doppler frequency shift corresponding to the first ultrasonic signal, the second angle formed by the first direction and the second direction, the frequency of the first ultrasonic signal, and the speed of sound in the blood.

[0414] The blood data may include blood flow rate.

[0415] Consider that the transducer transmits an ultrasonic signal with a frequency of f0 into the blood vessel, but when the echo from the moving scatterer (such as red blood cells in the blood vessel) arrives, the received frequency f R There is a certain deviation from the transmission frequency, which can be called the Doppler shift f D .

[0416] The Doppler shift can be expressed by the following formula:

[0417]

[0418] Wherein, V represents the blood flow velocity, α1 represents the angle between the second transducer transmitting the ultrasonic signal in the second direction and the plane of the flexible circuit layer. The sum of the second angle formed by the first direction and the second direction and α1 may be equal to 90°.

[0419] The calculation formula for blood flow rate can be expressed as follows:

[0420]

[0421] In the above implementation, the blood flow velocity can be measured by setting fewer transducers, and the design requirements for the transducers can be lower.

[0422] In another embodiment, the plurality of preset directions include a first direction, a second direction, and a third direction, and the ultrasonic signal includes a second ultrasonic signal emitted along the second direction and a third ultrasonic signal emitted along the third direction. The above step 330 may include step 333, determining the blood data of the target area according to a second angle formed by the first direction and the second direction, a third angle formed by the first direction and the third direction, a frequency of an echo signal corresponding to the second ultrasonic signal, a frequency of an echo signal corresponding to the third ultrasonic signal, and a sound velocity in the blood.

[0423] The blood data determined in step 333 includes a blood flow rate, which can be calculated by the following calculation method:

[0424]

[0425]

[0426] Among them, α1 represents the angle between the second transducer that transmits ultrasonic signals in the second direction and the plane of the flexible circuit layer; α2 represents the angle between the second transducer that transmits ultrasonic signals in the third direction and the plane of the flexible circuit layer; f1 represents the receiving frequency of the second transducer that transmits ultrasonic signals in the second direction receiving echo signals; f2 represents the receiving frequency of the second transducer that transmits ultrasonic signals in the third direction receiving echo signals.

[0427] In the above implementation, the blood flow velocity can be measured without calculating the angle between the blood vessel and the transducer, thereby reducing the amount of calculation.

[0428] The above steps can achieve relatively accurate blood pressure measurement, but in some cases, the target user's body itself may not be suitable for blood pressure measurement, or the measured blood pressure cannot well represent the target user's normal state. Fig.15 As shown, the blood pressure monitoring method provided in the embodiment of the present application may also include the following steps.

[0429] Step 910: Collect the target user's physical status data.

[0430] Exemplarily, the body status data can be collected by a body monitoring component provided in the blood pressure monitoring device. The body status data may include body temperature, exercise status, heart rate value, etc.

[0431] Step 920: Identify the user's physical condition data to determine whether the target user's physical condition is within a measurable range.

[0432] If the target user is within the detectable range, step 310 is executed again.

[0433] Optionally, before executing step 310 each time, the method of steps 910 and 920 may be used to realize the target user's body state recognition.

[0434] Optionally, a measurable standard may be set for each item of body condition data. When each item of body condition data satisfies its corresponding measurable standard, it may be determined that the body condition of the target user is within a measurable range.

[0435] The blood pressure monitoring method provided in the embodiment of the present application may further include steps 930 to 950 .

[0436] Step 930, determining the current activity mode of the target user based on the body state data.

[0437] The activity mode may include a sleep mode, a calm mode, and a sports mode. Of course, the activity mode may be divided into more fine-grained modes according to different actual needs. For example, it may include a diet mode, a rest mode, a sports mode, a light sleep mode, a deep sleep mode, etc.

[0438] Exemplarily, the motion state data collected by the gyroscope can be used to determine whether the target user is in motion. Exemplarily, the heart rate value collected by the heart rate can be used to determine whether the target user is in sleep mode. Exemplarily, the heart rate value collected by the heart rate and the motion state data collected by the gyroscope can be used to determine whether the target user is in a quiet mode.

[0439] Step 940, setting a status label for the blood pressure monitoring result according to the current activity mode.

[0440] For example, if the blood pressure is monitored in the sleep mode, the state label of the blood pressure may be the sleep mode.

[0441] Step 950: Store the blood pressure monitoring result in association with its corresponding status tag.

[0442] In this embodiment, the blood pressure monitoring results and their corresponding status tags can be stored in the server. The server can respond to the data request of the terminal device to obtain the blood pressure monitoring results in different modes.

[0443] Through the processing logic of steps 910 to 950, blood pressure can be measured or recorded in combination with the user's physical condition, so that the determined data can better represent the actual situation of the target user.

[0444] Considering that in some scenarios, the user may need to monitor blood pressure multiple times or continuously, based on this requirement, the above step 310 may include: based on the specified monitoring rules, the ultrasonic transducer module of the blood pressure monitoring device transmits ultrasonic signals to the target area of ​​the target user along multiple preset directions.

[0445] Optionally, the specified monitoring rule can be a pre-configured time rule. For example, blood pressure monitoring is performed once every hour, and blood pressure monitoring is performed once every three hours. For another example, blood pressure monitoring is performed once at eight o'clock every morning. For another example, blood pressure monitoring is performed once every night while sleeping. For another example, two times are randomly selected every day to test blood pressure. Of course, the set time rule can also be set as needed based on actual needs.

[0446] Optionally, the designated monitoring rule can also be determined based on the target user's daily routine. The designated monitoring rule is determined by: obtaining historical user data of the target user; determining the target user's routine according to the historical user data; and determining the designated monitoring rule according to the routine.

[0447] The historical user data may be data input by users received during a historical period, or may be user data monitored by a monitoring component during a historical period.

[0448] Historical user data may include historical behavior data, historical status data, etc.

[0449] Historical behavior data may include: the behavior data may include exercise time, meal time, sleep time, exercise duration, sleep duration, going out time, rest time, etc. Historical status data may include body temperature, heart rate, running status, etc. at different times.

[0450] For example, if a calm state is more suitable for measuring blood pressure, the time period when the target user is often in a calm state can be determined based on historical user data, and the time node required for measurement can be determined from the calm time period to determine the above-mentioned specified monitoring rules.

[0451] For example, if the sleeping state is more suitable for measuring blood pressure, the time period when the target user is often in the sleeping state can be determined based on historical user data, and the time node required for measurement can be determined from the sleeping time period to determine the above-mentioned specified monitoring rules.

[0452] Optionally, before determining the designated monitoring rule, a monitoring period may be determined first, for example, the monitoring period may be set to a duration of one day, three days, one week, etc. The designated monitoring rule may be used to limit the collection rule within the monitoring period.

[0453] In one embodiment, the work and rest pattern can be achieved in the following manner: for each monitoring period, the historical user data is divided into multiple segments according to time; each segment of historical user data is input into a behavior recognition model to determine the behavior category corresponding to each segment of historical user data; based on the behavior category corresponding to the historical user data, the work and rest pattern in different time periods of the monitoring period is determined.

[0454] Taking a monitoring cycle of one day as an example, the user data of each day can be evenly divided into twelve segments of user data, and each segment of user data can be input into the behavior recognition model to determine the behavior category corresponding to each segment of historical user data. The behavior categories of the same period in each cycle are summarized to determine the behavior categories of each time period in a monitoring cycle.

[0455] Taking the first period as an example, if more than half of the behavior categories are determined to be calm after behavior recognition is performed on the historical user data of the first period in each monitoring cycle, the behavior category of the first period in the monitoring cycle can be determined to be calm.

[0456] Exemplarily, user data of the same period in different monitoring cycles may also be input into the behavior recognition model to determine the behavior category corresponding to the historical user data in the time period.

[0457] The behavior recognition model is one of a binary classification model and a multi-classification model. The behavior recognition model can identify the category of the user's behavior in the corresponding time period based on the user data.

[0458] Taking the behavior recognition model as a binary classification model as an example, user data can be identified through the behavior recognition model, and the identification result can be a motion state or a calm state. When the user number is identified as a motion state, its corresponding behavior is classified as a motion state. When the user number is identified as a calm state, its corresponding behavior is classified as a calm state.

[0459] Of course, the behavior recognition model can also be a multi-classification model, which can divide the behavior corresponding to the user data into more states such as motion state, calm state, sleep state, etc.; then the recognition result of the behavior recognition model for the user data can be any one of the more states such as motion state, calm state, sleep state, etc.

[0460] After determining your work and rest schedule, you can select a suitable time period for monitoring blood pressure to determine a designated monitoring schedule.

[0461] In the embodiment of the present application, through the above-mentioned processing logic, relatively accurate blood pressure monitoring can be achieved without squeezing the user's upper arm. When determining the blood pressure, the blood pressure can also be calculated in combination with a variety of calculation methods, which can reduce the error of blood pressure monitoring. Furthermore, in the implementation of monitoring, the calculation methods of various blood pressures can also be adaptively adjusted to further reduce the error of blood pressure monitoring. Compared with the existing sphygmomanometer implemented by an inflatable cuff, the monitoring comfort of the implementation method of the present application is relatively higher, without the discomfort caused by squeezing, and even if measured at night, it will not affect the person's sleep state, which allows the user to achieve measurement in a calm state.

[0462] In addition, an embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the blood pressure monitoring method described in the above method embodiment are executed.

[0463] The computer program product of the blood pressure monitoring method provided in the embodiment of the present application includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the steps of the blood pressure monitoring method described in the above method embodiment. Please refer to the above method embodiment for details, which will not be repeated here.

[0464] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0465] In addition, the functional modules in the various embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

[0466] If the function is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a disk or an optical disk. It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprises" or any other variation thereof are intended to cover non-exclusive inclusion, so that a process, method, article or apparatus that includes a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or apparatus. In the absence of more restrictions, the elements defined by the sentence "includes..." do not exclude the presence of other identical elements in the process, method, article or apparatus that includes the elements.

[0467] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application. It should be noted that similar numbers and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings.

[0468] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A blood pressure monitoring device, characterized in that: include: A wearing part for wearing and a monitoring part for monitoring blood pressure, wherein the wearing part is connected to the monitoring part; The monitoring unit includes: an ultrasonic transducer module and a controller; The ultrasonic transducer module comprises a plurality of ultrasonic transducer parts; wherein the plurality of ultrasonic transducer parts are configured to transmit and / or receive ultrasonic signals in a plurality of preset directions; The controller is used to control the emission and / or reception of the ultrasonic signal of the ultrasonic transducer module; wherein the received ultrasonic signal is used to determine blood vessel data and blood data; The wearing part is used to assist the monitoring part to approach and / or contact the part to be monitored.

2. The blood pressure monitoring device according to claim 1, characterized in that: Also includes: A display, arranged in the monitoring part, for displaying blood pressure monitoring data; The controller is electrically connected to the display to send the blood pressure monitoring data to the display.

3. The blood pressure monitoring device according to claim 2, characterized in that: Also includes: The power supply unit is arranged on the first side of the display and is electrically connected to the display, the controller and the ultrasonic transducer module respectively to provide electrical energy.

4. The blood pressure monitoring device according to claim 1, characterized in that: The ultrasonic transducer module comprises: a transducer layer, a flexible circuit board layer and a matching layer, wherein the transducer layer comprises a plurality of transducers.

5. The blood pressure monitoring device according to claim 4, characterized in that: The ultrasonic transducer module includes a first ultrasonic transducer portion, which transmits and / or receives ultrasonic signals in a first direction, and the ultrasonic transducer module includes a second ultrasonic transducer portion, which transmits and / or receives ultrasonic signals in a second direction.

6. The blood pressure monitoring device according to claim 5, characterized in that: The first ultrasonic transducer comprises: a first transducer, a first flexible circuit board layer and a first matching layer; Wherein, the first transducer is arranged in parallel with the first flexible circuit board layer.

7. The blood pressure monitoring device according to claim 5, characterized in that: The second ultrasonic transducer comprises: a second transducer, a second flexible circuit board layer and a second matching layer; Wherein, the second transducer forms a preset angle with the second flexible circuit board layer.

8. The blood pressure monitoring device according to claim 7, characterized in that: The preset angle is in the range of 0° to 60°.

9. The blood pressure monitoring device according to claim 7, characterized in that: The second transducer includes a first-part second transducer and a second-part second transducer; The second transducer of the first part forms a first preset angle with the second flexible circuit board layer, and the second transducer of the second part forms a second preset angle with the second flexible circuit board layer; wherein the first preset angle and the second preset angle are angles of different sizes.

10. The blood pressure monitoring device according to claim 9, characterized in that: The difference between the first preset angle and the second preset angle is not less than 10°.

11. The blood pressure monitoring device according to claim 7, characterized in that: The opening of the second transducer at a preset angle with the second flexible circuit board layer faces the first edge of the second flexible circuit board layer; or, The opening of the second transducer at a preset angle with the second flexible circuit board layer faces the second edge of the second flexible circuit board layer; or, A portion of the openings of the second transducer at a preset angle to the second flexible circuit board layer are oriented toward a first edge of the second flexible circuit board layer, and another portion of the openings of the second transducer at a preset angle to the second flexible circuit board layer are oriented toward a second edge of the second flexible circuit board layer; wherein the first edge and the second edge are different edges of the second flexible circuit board layer.

12. The blood pressure monitoring device according to claim 4, characterized in that: The transducer comprises a first transducer and a second transducer; The first transducer and the second transducer are arrayed to form a first type of transducer column including the first transducer, and a second type of transducer column including the second transducer; The first type of transducer array and the second type of transducer array are arranged according to a set rule.

13. The blood pressure monitoring device according to claim 12, characterized in that: The matching layer is provided with a plurality of grooves; the grooves are provided at the gaps between the transducers, and the transducers are the first transducers or the second transducers.

14. The blood pressure monitoring device according to claim 4, characterized in that: The matching layer is made of flexible material.

15. The blood pressure monitoring device according to claim 4, characterized in that: The wearing part is provided with a hollow accommodation space, the transducer layer and the flexible circuit board layer are built in the hollow accommodation space, and the contact portion between the wearing part and the transducer layer serves as the matching layer.

16. The blood pressure monitoring device according to claim 1, characterized in that: The wearing portion is provided with an anti-skid structure, and the anti-skid structure includes one or more of a plurality of anti-skid protrusions and an anti-skid coating.

17. The blood pressure monitoring device according to claim 2, characterized in that: The controller comprises: A main control module, electrically connected to the display, for sending blood pressure monitoring results to the display; An ultrasonic transmitting module, whose input end is electrically connected to the main control module and whose output end is electrically connected to the ultrasonic transducer module, is used to receive a control signal from the main control module and drive the ultrasonic transducer module to transmit an ultrasonic signal; A signal processing module, the input end of which is electrically connected to the ultrasonic transducer module, and the output end of which is electrically connected to the main control module, for receiving and processing the electrical signal fed back by the ultrasonic transducer module, and feeding back the processing result to the main control module; The main control module is also used to calculate the signal obtained by the signal processing module to obtain the blood pressure monitoring result; or, to send the signal obtained by the signal processing module to a server that is communicatively connected to the blood pressure monitoring device, so that the server can calculate the signal obtained by the signal processing module to obtain the blood pressure monitoring result.

18. The blood pressure monitoring device according to claim 17, characterized in that: The ultrasonic transmitting module comprises: An impedance matching circuit, electrically connected to the main control module, for matching the impedance value of the ultrasonic transducer module; A frequency generating circuit, electrically connected to the impedance matching circuit, for generating an initial power for driving the ultrasonic transducer module; The power amplifier circuit is electrically connected to the frequency generating circuit and is used to amplify the initial power so that the amplified power is used to drive the ultrasonic transducer module.

19. The blood pressure monitoring device according to any one of claims 1 to 18, characterized in that: Also included is a body monitoring component connected to the controller, for monitoring the user's physical state; wherein the body monitoring component includes one or more of a temperature sensor, a gyroscope, and a heart rate sensor; The controller is used to control the sending and receiving of the ultrasonic signal of the ultrasonic transducer module according to the user's physical state monitored by the body monitoring component.

20. A blood pressure monitoring method, characterized in that: The blood pressure monitoring device according to any one of claims 1 to 19 comprises: The ultrasonic transducer module of the blood pressure monitoring device transmits ultrasonic signals to the target area of ​​the target user along multiple preset directions; Determining blood vessel data of the target area according to the ultrasonic signal; The blood data of the blood vessels in the target area are determined according to the ultrasonic signal; wherein the blood vessel data and the blood data are used to calculate the blood pressure monitoring result of the target user.

21. The method according to claim 20, characterized in that The blood pressure monitoring result is calculated in the following way: Calculating a first type of blood pressure of the target user according to the blood vessel data; Calculating a second type of blood pressure of the target user according to the blood vessel data and the blood data; The blood pressure monitoring result of the target user is determined based on the first category of blood pressure and the second category of blood pressure.

22. The method according to claim 21, characterized in that The calculating the first type of blood pressure of the target user according to the blood vessel data comprises: Calculating a blood vessel cross-sectional area according to the blood vessel data; Calculating the vascular status data of the target user according to the systolic pressure and diastolic pressure of the target user, wherein the systolic pressure and the diastolic pressure are pre-measured values; A first type of blood pressure of the target user is determined according to the blood vessel cross-sectional area and the blood vessel status data.

23. The method according to claim 22, characterized in that The blood vessel data includes blood vessel diameter; The first category blood pressure is determined by the following formula: Where P(t) represents the blood pressure value at time t; P D represents the diastolic blood pressure of the target user; P S represents the systolic blood pressure of the target user; A(t) represents the cross-sectional area of ​​the blood vessel at time t; A D A represents the cross-sectional area of ​​blood vessels at the time of diastolic pressure; S represents the cross-sectional area of ​​the blood vessel at the moment of systolic pressure; d(t) represents the blood vessel diameter measured at time t; α represents the blood vessel status data.

24. The method according to claim 21, characterized in that The calculating the second type of blood pressure of the target user according to the blood vessel data and the blood data comprises: determining the pulse wave velocity of the target user according to the blood vessel data; Calculating a blood pressure change value compared to a diastolic pressure of the target user according to the blood vessel data and the pulse wave velocity, wherein the diastolic pressure is a pre-measured value; A second type of blood pressure of the target user is determined according to the blood pressure change value and the diastolic pressure.

25. The method according to claim 24, characterized in that The blood vessel data includes blood vessel diameter, and the blood data includes blood flow velocity; The second category blood pressure is determined by the following formula: P(t)=ΔP+P D ; Wherein, ρ represents the blood density of the target user; ΔP represents the blood pressure change value relative to the diastolic blood pressure of the target user at time t; PWV represents the pulse wave velocity; d(t) represents the blood vessel diameter measured at time t; d D represents the maximum blood vessel diameter; P(t) represents the blood pressure value at time t; P D Indicates the target user's diastolic blood pressure.

26. The method according to claim 21, characterized in that The step of determining the blood pressure monitoring result of the target user according to the first type of blood pressure and the second type of blood pressure includes: The first type of blood pressure and the second type of blood pressure are weighted to determine the blood pressure monitoring result of the target user.

27. The method according to claim 26, characterized in that The weighting of the first type of blood pressure and the second type of blood pressure to determine the blood pressure monitoring result of the target user includes: determining a first hardening degree of a blood vessel of the target user according to the blood vessel data and the blood data; Determining first weight data of the target user according to the first hardening degree; The first type of blood pressure and the second type of blood pressure are weighted according to the first weight data to determine the blood pressure monitoring result of the target user.

28. The method according to claim 27, characterized in that The determining, based on the blood vessel data and the blood data, a first hardening degree of the blood vessel of the target user includes: The blood vessel data and the blood data are input into a pre-trained hardening recognition model for recognition to determine a first hardening degree of the blood vessel of the target user, wherein the hardening recognition model is any one of a binary classification model, a multi-classification model or a score evaluation model.

29. The method according to claim 28, characterized in that The hardening recognition model is trained in the following way: Inputting the training data set into the initial model for training to obtain the initial training model; wherein the training data set includes multiple training data, the training data includes sample blood characteristics, and the sample blood characteristics include one or more characteristics of maximum flow velocity, minimum flow velocity, blood vessel cross-sectional flow velocity distribution, flow velocity rise time, and flow velocity fall time; Inputting the test data set into the initial training model to verify the accuracy of the initial training model; If the accuracy reaches a preset threshold, the initial training model is used as a hardening recognition model; If the accuracy rate is less than the preset threshold, the initial training model is trained until the accuracy rate reaches the preset threshold.

30. The method according to claim 21, characterized in that The step of determining the blood pressure monitoring result of the target user according to the first type of blood pressure and the second type of blood pressure includes: Calculating a third type of blood pressure of the target user according to the blood vessel data and the blood data; The blood pressure monitoring result of the target user is determined based on the first category of blood pressure, the second category of blood pressure and the third category of blood pressure.

31. The method according to claim 30, characterized in that The calculating the third type of blood pressure of the target user according to the blood vessel data and the blood data comprises: Calculating a blood vessel cross-sectional area according to the blood vessel data; Calculating the vascular status data of the target user according to the systolic pressure and diastolic pressure of the target user, wherein the systolic pressure and the diastolic pressure are pre-measured values; determining the pulse wave velocity of the target user according to the blood vessel data; A third category blood pressure of the target user is determined based on the blood vessel cross-sectional area, the blood vessel status data, and the pulse wave velocity.

32. The method according to claim 31, characterized in that The blood vessel data includes blood vessel diameter; The third category blood pressure is determined by the following formula: Where P(t) represents the blood pressure value at time t; A(t) represents the cross-sectional area of ​​the blood vessel at time t; P D and P s Respectively represent the diastolic and systolic blood pressure of the target user; A D and A S represents the cross-sectional area of ​​the blood vessel at the diastolic pressure moment and the cross-sectional area of ​​the blood vessel at the systolic pressure moment respectively; d(t) represents the blood vessel diameter measured at time t; α represents the blood vessel status data; ρ represents the blood density of the target user; PWV represents the pulse wave velocity; d D represents the maximum blood vessel diameter.

33. The method according to claim 30, characterized in that The calculating the third type of blood pressure of the target user according to the blood vessel data and the blood data comprises: Obtaining a calculation method for the first category of blood pressure and a calculation method for the second category of blood pressure; Constructing a third type of blood pressure calculation method based on the first type of blood pressure calculation method and the second type of blood pressure calculation method; The blood vessel data and the blood data are input into the calculation formula of the third category blood pressure to determine the third category blood pressure of the target user.

34. The method according to claim 30, characterized in that The determining the blood pressure monitoring result of the target user according to the first type of blood pressure, the second type of blood pressure, and the third type of blood pressure includes: determining a second hardening degree of the blood vessel of the target user according to the blood vessel data and the blood data; determining second weight data of the target user according to the second hardening degree; The first category of blood pressure, the second category of blood pressure and the third category of blood pressure are weighted according to the second weight data to determine the blood pressure monitoring result of the target user.

35. The method according to claim 34, characterized in that The determining, according to the second hardening degree, second weight data of the target user includes: The vascular sclerosis degree is matched with a pre-stored comparison data table to determine second weight data corresponding to the second sclerosis degree; wherein the pre-stored comparison data table includes multiple different sclerosis degrees of blood vessels and weight data corresponding to each sclerosis degree.

36. The method according to claim 35, characterized in that The pre-stored comparison data table is determined in the following manner: For multiple subjects whose vascular sclerosis degree is the target vascular sclerosis degree, the three types of blood pressure values ​​of each subject are calculated respectively using the first calculation method, the second calculation method and the third calculation method; wherein the first calculation method is a calculation method for calculating the first type of blood pressure, the second calculation method is a calculation method for calculating the second type of blood pressure, and the third calculation method is a calculation method for calculating the third type of blood pressure; The three types of blood pressure values ​​are compared with the actual blood pressures of the multiple test subjects to determine the weight data of the first calculation method, the second calculation method and the third calculation method.

37. The method according to claim 20, characterized in that The blood pressure monitoring result is calculated in the following way: determining a third hardening degree of the blood vessels of the target user according to the blood vessel data and the blood data; Determining a first adjustment parameter of the target user according to the third hardening degree; wherein the first adjustment parameter includes first correction data; Correcting the first calculation method and the second calculation method according to the first correction coefficient to obtain a first correction calculation method and a second correction calculation method; wherein the first calculation method and the second calculation method are preset blood pressure calculation formulas; Calculating a first type of blood pressure using the first correction calculation method according to the blood vessel data; Calculating a second type of blood pressure using the second correction calculation method according to the blood vessel data and the blood data; The blood pressure monitoring result of the target user is determined based on the first category of blood pressure and the second category of blood pressure.

38. The method according to claim 37, characterized in that The first adjustment parameter also includes third weight data; Determining the blood pressure monitoring result of the target user according to the first type of blood pressure and the second type of blood pressure includes: The first type of blood pressure and the second type of blood pressure are weightedly calculated using the third weight data to obtain the blood pressure monitoring result of the target user.

39. The method according to claim 20, characterized in that The blood pressure monitoring result is calculated in the following way: determining a fourth hardening degree of the blood vessels of the target user according to the blood vessel data and the blood data; determining a second adjustment parameter of the target user according to the fourth hardening degree, wherein the first adjustment parameter includes second correction data; Correcting the first calculation method, the second calculation method and the third calculation method according to the second correction coefficient to obtain a first correction calculation method, a second correction calculation method and a third correction calculation method; wherein the first calculation method, the second calculation method and the third calculation method are preset blood pressure calculation formulas; Calculating a first type of blood pressure using the first correction calculation method according to the blood vessel data; Calculating a second type of blood pressure using the second correction calculation method according to the blood vessel data and the blood data; Calculating a third type of blood pressure using the third correction calculation method according to the blood vessel data and the blood data; The blood pressure monitoring result of the target user is determined based on the first category of blood pressure, the second category of blood pressure and the third category of blood pressure.

40. The method according to claim 39, characterized in that The second adjustment parameter also includes fourth weight data; The determining the blood pressure monitoring result of the target user according to the first type of blood pressure, the second type of blood pressure, and the third type of blood pressure includes: The first type of blood pressure, the second type of blood pressure and the third type of blood pressure are weightedly calculated using the fourth weight data to obtain the blood pressure monitoring result of the target user.

41. The method according to claim 20, characterized in that Determining blood vessel data of the target area according to the ultrasonic signal includes: determining, based on the ultrasound signal, a transducer located in a blood vessel region; According to the transducer located in the blood vessel area, the acquisition area of ​​the blood vessel is determined; The blood vessel data of the target area is determined according to the acquisition area.

42. The method according to claim 41, characterized in that The plurality of preset directions include a first direction; The step of determining the transducer located in the blood vessel region according to the ultrasonic signal comprises: Drawing a regional image of the target area according to a plurality of ultrasonic signals transmitted to a target area of ​​a target user along a first direction; Performing grayscale recognition on the regional image to determine the arterial blood vessel region; Based on the arterial blood vessel area, a transducer located in the blood vessel area is determined from the transducers in the ultrasonic transducer module.

43. The method according to claim 42, characterized in that The grayscale recognition of the regional image to determine the arterial blood vessel region includes: For the regional images under different vascular states, grayscale recognition is performed on the regional images under different vascular states to determine the vascular regions under different vascular states; It is determined whether the change in the number of pixels in the corresponding blood vessel area under different blood vessel states exceeds a set threshold, and whether the change period of the corresponding blood vessel area is within a set interval. If both are true, it is determined to be an arterial blood vessel area.

44. The method according to claim 41, characterized in that Determining the blood vessel data of the target area according to the acquisition area includes: Determining a first distance between the transducer and a first wall of the arterial blood vessel according to the acquisition area; Determining a second distance between the transducer and a second wall of the arterial blood vessel according to the acquisition area; Determine a first angle formed by the arterial blood vessel and the target transducer according to the distance between any two target transducers in the acquisition area and the distance between the two target transducers and the first wall of the arterial blood vessel; The blood vessel data of the marked area is determined according to the first distance, the first distance and the first angle.

45. The method according to claim 41, characterized in that The first distance is determined by the following formula: Wherein, D1 represents the distance between the blood vessel wall and the transducer; N1 represents the pixel point sequence of the blood vessel wall of the arterial blood vessel obtained by scanning the first ultrasonic signal; f s represents the sampling frequency of the first transducer corresponding to the first ultrasonic signal; c represents the speed of sound in the blood.

46. ​​The method according to claim 20, characterized in that The plurality of preset directions include a first direction and a second direction; the ultrasonic signal includes a first ultrasonic signal emitted along the first direction; Determining blood data of blood vessels in the target area according to the ultrasound signal includes: determining, according to the first ultrasonic signal, a first angle formed by the arterial blood vessel in the target area and the target transducer; Blood data of the blood vessels in the target area are determined according to the first angle, the Doppler frequency shift corresponding to the first ultrasonic signal, the second angle formed by the first direction and the second direction, the frequency of the first ultrasonic signal, and the sound velocity in the blood.

47. The method according to claim 20, characterized in that The plurality of preset directions include a first direction, a second direction and a third direction, and the ultrasonic signal includes a second ultrasonic signal emitted along the second direction and a third ultrasonic signal emitted along the third direction; Determining the blood data of the target area according to the ultrasonic signal includes: The blood data of the target area is determined based on a second angle formed by the first direction and the second direction, a third angle formed by the first direction and the third direction, the frequency of the echo signal corresponding to the second ultrasonic signal, the frequency of the echo signal corresponding to the third ultrasonic signal, and the speed of sound in the blood.

48. The method according to any one of claims 20 to 47, characterized in that: The method further comprises: Collecting physical status data of the target user; Identifying the user's physical condition data to determine whether the target user's physical condition is within a measurable range; If the target user is within the measurable range, the step of transmitting ultrasonic signals to the target area of ​​the target user along multiple preset directions through the ultrasonic transducer module of the blood pressure monitoring device is performed.

49. The method according to claim 48, characterized in that The method further comprises: Determining a current activity mode of the target user according to the body state data; setting a status label for the blood pressure monitoring result according to the current activity mode; The blood pressure monitoring result is stored in association with its corresponding status tag.

50. The method according to any one of claims 20 to 47, characterized in that: The method of transmitting ultrasonic signals to a target area of ​​a target user along multiple preset directions through an ultrasonic transducer module of the blood pressure monitoring device includes: Based on the specified monitoring rule, the ultrasonic transducer module of the blood pressure monitoring device transmits ultrasonic signals to the target area of ​​the target user along multiple preset directions.

51. The method according to claim 50, characterized in that The specified monitoring rule is determined by: Acquire historical user data of the target user; Determine the work and rest pattern of the target user according to the historical user data; The designated monitoring rule is determined according to the work and rest rule.

52. The method according to claim 51, characterized in that Determining the work and rest pattern of the target user according to the historical user data includes: For each monitoring cycle, historical user data is divided into multiple segments according to time; Input each segment of historical user data into a behavior recognition model to determine the behavior category corresponding to each segment of historical user data; wherein the behavior recognition model is one of a binary classification model and a multi-classification model; Based on the behavior categories corresponding to the historical user data, the work and rest patterns in different time periods during the monitoring period are determined.

53. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when executed by a processor, performs the steps of the method described in any one of claims 20 to 52.

54. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the method according to any one of claims 20 to 52 is implemented.

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