Ambulatory blood pressure monitoring system and method based on oscillography and arterial tension method

Abstract

The invention provides an ambulatory blood pressure monitoring system and method based on oscillography and arterial tension method.The system comprises a first monitoring module used for collecting brachial pressure signals of a monitored person, a second monitoring module used for collecting wrist pressure signals of the monitored person and a signal processing module; the signal processing module is configured to obtain a brachial pressure signal sequence, and obtain brachial diastolic pressure, brachial systolic pressure, brachial average pressure and brachial characteristic coefficients; on the basis of the brachial systolic pressure, the brachial diastolic pressure and the brachial characteristic coefficient, a direct current component of each stroke of the calibrated wrist is obtained; acquiring a wrist pressure signal sequence in the calibration and monitoring period, and combining with the average brachial pressure to obtain a monitored wrist average pressure sequence; according to the method, a wrist diastolic pressure model and a wrist systolic pressure model are constructed, a wrist diastolic pressure sequence and a wrist systolic pressure sequence are obtained by combining a calibrated wrist stroke direct-current component, a monitored wrist pressure signal sequence and a monitored wrist average pressure sequence, and personalized calibration and continuous monitoring of blood pressure are achieved.

Description

Technical Field

[0001] The present invention relates to the field of monitoring technology, and in particular to a dynamic blood pressure monitoring system and method based on an oscillometric method and an arterial tension method. Background Art

[0002] At present, against the background of great social and economic development, the aging of the population and the acceleration of urbanization, the unhealthy lifestyle of residents are becoming increasingly prominent, the incidence of cardiovascular diseases continues to rise, and cardiovascular diseases are difficult to diagnose clinically. Therefore, long-term wear, accurate measurement, and personalized blood pressure measurement equipment have become an urgent need in the field of public health.

[0003] Currently, intermittent blood pressure measurement methods represented by the cuff oscillometric method cannot provide accurate and comprehensive blood pressure information due to the characteristics of the method itself. Dynamic blood pressure measurement monitors the blood pressure changes of the subject throughout the day by measuring every 15-20 minutes during the day and every 30 minutes at night. Although it has a longer time span and a larger sample capacity than clinical diagnosis, and can effectively avoid misdiagnosis of hypertension, it also lacks rich characteristic parameters in the blood pressure change process, and the frequent measurement process will cause greater discomfort to the subject, especially at night, which will greatly affect the subject's sleep quality.

[0004] The existing mainstream non-invasive continuous blood pressure measurement methods mainly include arterial tension method, volume compensation method, photoplethysmography, pulse wave measurement method, etc. However, since human blood pressure is affected by various complex factors such as environment, emotions, physiological rhythms, etc., the current continuous measurement methods have not perfected the mapping relationship from measurement signals to real blood pressure signals with clinical guidance significance. Frequent calibration is required, and the calibration behavior itself will cause secondary distortion, thus affecting the continuous blood pressure measurement effect.

[0005] Therefore, there is an urgent need to deeply integrate multiple dimensions such as measurement principles, measurement hardware, and data signal processing to achieve an organic combination of cuff, non-cuff measurement methods and data, and then realize accurate, comfortable and efficient blood pressure measurement, which is of great significance for the prevention and treatment of various physiological and psychological diseases. Summary of the invention

[0006] The present invention aims at the shortcomings of the prior art and provides a dynamic blood pressure monitoring system and method based on the oscillometric method and the arterial tension method.

[0007] In order to solve the above technical problems, the present invention is solved by the following technical solutions: a dynamic blood pressure monitoring system based on oscillometric method and arterial tension method, comprising a first monitoring module, a second monitoring module and a signal processing module; The first monitoring module is used to collect the brachial pressure signal of the monitored person; The second monitoring module is used to collect the wrist pressure signal of the monitored person; The signal processing module is configured to: Based on the time series, the brachial pressure signal of the calibration period is obtained to form a brachial pressure signal sequence; based on the brachial pressure signal sequence, the brachial mean pressure, the brachial diastolic pressure, the brachial systolic pressure and the brachial characteristic coefficient are obtained; Based on the brachial systolic pressure, brachial diastolic pressure and brachial characteristic coefficient, the calibrated wrist DC component per beat is obtained to calibrate the brachial data to the wrist data; Based on the time series, wrist pressure signals of the calibration period and the monitoring period are obtained to form a calibration wrist pressure signal sequence and a monitoring wrist pressure signal sequence, respectively, and then a calibration wrist DC component per beat sequence and a monitoring wrist DC component per beat sequence are obtained; Based on the calibrated wrist DC component per beat sequence and the calibrated wrist pressure signal sequence, a wrist DC transmural pressure model is constructed. Combined with the monitored wrist DC component per beat sequence, a monitored wrist transmural pressure sequence is obtained. Combined with the brachial average pressure, a monitored wrist average pressure sequence is obtained. Wrist diastolic pressure model and wrist systolic pressure model are constructed, and combined with the calibration of wrist beat DC component, monitoring wrist pressure signal sequence and monitoring wrist average pressure sequence, the wrist diastolic pressure sequence and wrist systolic pressure sequence are obtained to realize continuous monitoring of the blood pressure of the monitored person.

[0008] As an implementable embodiment, the first monitoring module includes a cuff, a pressure sensing device and a brachial signal transmission unit, and the pressure sensing device is a capacitive pressure sensing device; The pressure sensor is arranged inside the cuff, and the brachial oscillation pressure signal is collected through the pressure sensor, and the brachial cuff pressure signal is collected through the cuff; The brachial signal transmission unit is used to transmit the brachial oscillation pressure signal and the brachial cuff pressure signal.

[0009] As an implementable embodiment, the second monitoring module includes a flexible film layer, a rigid base, a pressure signal acquisition unit, a pressure sensitive unit and a wrist signal transmission unit; The pressure signal acquisition unit is arranged on the first surface of the rigid base, the flexible film layer is arranged on the second surface of the rigid base, and a sealed cavity is formed between the rigid base and the pressure signal acquisition unit through the flexible film layer, and the cavity is filled with pressure sensing silicone oil; The pressure signal acquisition unit is provided with an air vent, one end of which is connected to the outside air, and the other end of which is connected to the pressure sensitive unit; the pressure sensitive unit is fixedly connected to the other end of the air vent and immersed in the pressure sensing silicone oil; The wrist pressure is transmitted to the pressure sensitive unit through the flexible film layer and the pressure sensing silicone oil. The pressure sensitive unit converts the wrist pressure into an electrical signal. The pressure signal acquisition unit converts the electrical signal into a pressure signal and transmits it to the signal processing module through the wrist signal transmission unit.

[0010] As an implementable embodiment, a baffle is provided in the middle of the rigid base, and protrusions are provided at both ends; The pressure sensitive unit is electrically connected to the pressure signal acquisition unit through a gold wire; The flexible film layer and the rigid substrate, as well as the rigid substrate and the pressure signal acquisition unit are all sealed; The pressure signal acquisition unit is provided with a liquid injection hole, and the liquid injection hole is communicated with the cavity.

[0011] As an implementable method, the brachial pressure signal includes a brachial oscillation pressure signal and a brachial cuff pressure signal, and the brachial pressure signal of the calibration period is obtained based on the time series to form a brachial pressure signal sequence; based on the brachial pressure signal sequence, the brachial mean pressure, the brachial diastolic pressure, the brachial systolic pressure and the brachial characteristic coefficient are obtained, including the following steps: Acquiring a brachial oscillation pressure signal and a brachial cuff pressure signal in a brachial cuff inflation phase and a brachial cuff deflation phase of a calibration period based on a time series, and forming a brachial oscillation pressure signal sequence and a brachial cuff pressure signal sequence, respectively, wherein the brachial cuff pressure signal includes a DC signal and an AC signal; extracting the brachial oscillation pressure signal sequence and the brachial cuff pressure signal sequence in the deflation phase respectively, to form a deflated brachial oscillation pressure signal sequence and a deflated brachial cuff pressure signal sequence; Based on the deflated brachial cuff pressure signal sequence, the DC signal of the cuff pressure signal is extracted through wavelet transform and inverse wavelet transform to form a brachial cuff DC pressure sequence; Extracting the peak and valley values ​​of the oscillation pressure signal in the deflated brachial oscillation pressure signal sequence to form a peak sequence and a valley sequence and performing interpolation and difference processing to obtain a brachial sensing pressure amplitude sequence; Based on the brachial sensing pressure amplitude sequence, the maximum pressure amplitude point in the brachial sensing pressure amplitude sequence is obtained; the pressure signal in each oscillation cycle in the deflated brachial oscillation pressure signal sequence is averaged to obtain the brachial average oscillation pressure signal sequence; the average oscillation pressure corresponding to the moment of the maximum pressure amplitude point in the brachial average oscillation pressure signal sequence is obtained, and the average oscillation pressure is the brachial average pressure; Based on the cuff DC pressure, sensor pressure amplitude, brachial systolic pressure and brachial diastolic pressure, a brachial amplitude DC model was constructed. Based on the brachial cuff DC pressure sequence and the brachial sensor pressure amplitude sequence, the brachial amplitude DC model is optimized by particle swarm algorithm to obtain the brachial systolic and diastolic pressures of the monitored person. Based on the brachial systolic pressure, brachial diastolic pressure and brachial mean pressure, the brachial characteristic coefficient is obtained; The brachial amplitude DC model is expressed as follows:

[0012] The brachial characteristic coefficient is expressed as follows:

[0013] in, represents the sensor pressure amplitude in the brachial sensor pressure amplitude sequence, represents the cuff DC pressure in the brachial cuff DC pressure sequence, and represents the coefficient, represents brachial systolic pressure, represents the brachial diastolic pressure, represents the brachial characteristic coefficient, Indicates mean brachial pressure.

[0014] As an implementable method, the calibrated wrist DC component per beat is expressed as follows:

[0015] in, Indicates the DC component per stroke at the calibrated wrist. represents the brachial characteristic coefficient, Represents the cardiac cycle, represents brachial systolic pressure, Indicates brachial diastolic pressure.

[0016] As an implementable method, the calibration cycle includes an inflation phase and a deflation phase, and the wrist DC transmural pressure model is constructed based on the calibration wrist DC component per beat sequence and the calibration wrist pressure signal sequence, and the wrist DC component per beat sequence is combined to obtain the wrist transmural pressure sequence, and the wrist average pressure sequence is combined to obtain the wrist average pressure sequence, including the following steps: Extracting the calibrated wrist pressure signal sequence during the inflation phase to form an inflation wrist pressure signal sequence; extracting the calibrated wrist DC component per beat sequence during the inflation phase to form an inflation wrist DC component per beat sequence; Performing difference processing on the pressure signal sequence of the inflated wrist and the DC component sequence of each beat of the inflated wrist to obtain the transmural pressure sequence of the inflated wrist; Based on the DC component sequence of each beat of the pneumatic wrist and the transmural pressure sequence of the pneumatic wrist, a DC transmural pressure model of the wrist was constructed. Based on the monitoring wrist beat DC component sequence and the wrist DC transmural pressure model, the wrist transmural pressure sequence is obtained; The monitoring wrist transmural pressure sequence and the brachial average pressure are summed to obtain the monitoring wrist average pressure sequence; The wrist DC trans-wall pressure model is expressed as follows:

[0017] in, represents the wrist DC component per beat in the DC component per beat sequence of the inflated wrist, represents the transmural pressure in the inflated wrist transmural pressure sequence, All represent known coefficients.

[0018] As an implementable method, the wrist diastolic pressure model and the wrist systolic pressure model are constructed, and the wrist diastolic pressure sequence and the wrist systolic pressure sequence are obtained by combining the calibration of the wrist DC component per beat, monitoring the wrist pressure signal sequence and monitoring the wrist average pressure sequence, including the following steps: Based on the peak value, valley value and average value of the pressure in each pulse cycle in the monitoring wrist pressure signal sequence, a monitoring wrist characteristic coefficient sequence is obtained; A wrist diastolic pressure model was constructed based on wrist mean pressure, wrist characteristic coefficient, calibrated wrist beat-to-beat DC component and wrist diastolic pressure. A wrist systolic blood pressure model was constructed based on wrist diastolic blood pressure, wrist characteristic coefficient, calibrated wrist beat-to-beat DC component and wrist systolic blood pressure. Based on the monitoring wrist average pressure sequence and the monitoring wrist characteristic coefficient sequence, combined with the wrist diastolic pressure model, the wrist diastolic pressure sequence is obtained; Based on the wrist diastolic pressure sequence and the monitoring wrist characteristic coefficient sequence, combined with the wrist systolic pressure model, the wrist systolic pressure sequence is obtained; The wrist monitoring characteristic coefficient sequence is expressed as follows:

[0019] The wrist diastolic pressure model is expressed as follows:

[0020] The wrist systolic blood pressure model is expressed as follows:

[0021] in, Indicates the first The wrist characteristic coefficient of the pulse cycle, Indicates the first The average pressure of the pulse cycle, Indicates the first The pressure trough value of a pulse cycle, Indicates the first The peak pressure of a pulse cycle, Indicates wrist diastolic pressure, Indicates the average wrist pressure. Indicates the DC component per stroke at the calibrated wrist. represents the wrist characteristic coefficient, Represents the cardiac cycle, Indicates wrist systolic blood pressure.

[0022] A dynamic blood pressure monitoring method based on oscillometric method and arterial tension method, and a dynamic blood pressure monitoring system based on oscillometric method and arterial tension method are implemented, comprising the following steps: Collecting brachial pressure signals of the monitored person; Collecting wrist pressure signals of the monitored person; Based on the time series, the brachial pressure signal of the calibration period is obtained to form a brachial pressure signal sequence; based on the brachial pressure signal sequence, the brachial mean pressure, the brachial diastolic pressure, the brachial systolic pressure and the brachial characteristic coefficient are obtained; Based on the brachial systolic pressure, brachial diastolic pressure and brachial characteristic coefficient, the calibrated wrist DC component per beat is obtained to calibrate the brachial data to the wrist data; Based on the time series, wrist pressure signals of the calibration period and the monitoring period are obtained to form a calibration wrist pressure signal sequence and a monitoring wrist pressure signal sequence, respectively, and then a calibration wrist DC component per beat sequence and a monitoring wrist DC component per beat sequence are obtained; Based on the calibrated wrist DC component per beat sequence and the calibrated wrist pressure signal sequence, a wrist DC transmural pressure model is constructed. Combined with the monitored wrist DC component per beat sequence, a monitored wrist transmural pressure sequence is obtained. Combined with the brachial average pressure, a monitored wrist average pressure sequence is obtained. Wrist diastolic pressure model and wrist systolic pressure model are constructed, and combined with the calibration of wrist beat DC component, monitoring wrist pressure signal sequence and monitoring wrist average pressure sequence, the wrist diastolic pressure sequence and wrist systolic pressure sequence are obtained to realize continuous monitoring of the blood pressure of the monitored person.

[0023] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the following method is implemented: Collecting brachial pressure signals of the monitored person; Collecting wrist pressure signals of the monitored person; Based on the time series, the brachial pressure signal of the calibration period is obtained to form a brachial pressure signal sequence; based on the brachial pressure signal sequence, the brachial mean pressure, the brachial diastolic pressure, the brachial systolic pressure and the brachial characteristic coefficient are obtained; Based on the brachial systolic pressure, brachial diastolic pressure and brachial characteristic coefficient, the calibrated wrist DC component per beat is obtained to calibrate the brachial data to the wrist data; Based on the time series, wrist pressure signals of the calibration period and the monitoring period are obtained to form a calibration wrist pressure signal sequence and a monitoring wrist pressure signal sequence, respectively, and then a calibration wrist DC component per beat sequence and a monitoring wrist DC component per beat sequence are obtained; Based on the calibrated wrist DC component per beat sequence and the calibrated wrist pressure signal sequence, a wrist DC transmural pressure model is constructed. Combined with the monitored wrist DC component per beat sequence, a monitored wrist transmural pressure sequence is obtained. Combined with the brachial average pressure, a monitored wrist average pressure sequence is obtained. Wrist diastolic pressure model and wrist systolic pressure model are constructed, and combined with the calibration of wrist beat DC component, monitoring wrist pressure signal sequence and monitoring wrist average pressure sequence, the wrist diastolic pressure sequence and wrist systolic pressure sequence are obtained to realize continuous monitoring of the blood pressure of the monitored person.

[0024] A dynamic blood pressure monitoring device based on oscillometric method and arterial tension method comprises a memory, a processor and a computer program stored in the memory and running on the processor, wherein the processor implements the following method when executing the computer program: Collecting brachial pressure signals of the monitored person; Collecting wrist pressure signals of the monitored person; Based on the time series, the brachial pressure signal of the calibration period is obtained to form a brachial pressure signal sequence; based on the brachial pressure signal sequence, the brachial mean pressure, the brachial diastolic pressure, the brachial systolic pressure and the brachial characteristic coefficient are obtained; Based on the brachial systolic pressure, brachial diastolic pressure and brachial characteristic coefficient, the calibrated wrist DC component per beat is obtained to calibrate the brachial data to the wrist data; Based on the time series, wrist pressure signals of the calibration period and the monitoring period are obtained to form a calibration wrist pressure signal sequence and a monitoring wrist pressure signal sequence, respectively, and then a calibration wrist DC component per beat sequence and a monitoring wrist DC component per beat sequence are obtained; Based on the calibrated wrist DC component per beat sequence and the calibrated wrist pressure signal sequence, a wrist DC transmural pressure model is constructed. Combined with the monitored wrist DC component per beat sequence, a monitored wrist transmural pressure sequence is obtained. Combined with the brachial average pressure, a monitored wrist average pressure sequence is obtained. Wrist diastolic pressure model and wrist systolic pressure model are constructed, and combined with the calibration of wrist beat DC component, monitoring wrist pressure signal sequence and monitoring wrist average pressure sequence, the wrist diastolic pressure sequence and wrist systolic pressure sequence are obtained to realize continuous monitoring of the blood pressure of the monitored person.

[0025] The present invention has significant technical effects due to the adoption of the above technical solutions: the dynamic blood pressure monitoring system based on the oscillometric method and the arterial tension method provided by the present invention realizes the synchronous acquisition and efficient processing of brachial and wrist blood pressure data. The system accurately obtains the brachial pressure signal through the first monitoring module, and uses the oscillometric method to parse out accurate brachial blood pressure data (brachial mean pressure, brachial diastolic pressure, brachial systolic pressure and brachial characteristic coefficient) as a benchmark. During the calibration process, the brachial blood pressure data is cleverly used to obtain the calibrated wrist beat DC component to achieve personalized calibration. At the same time, the system obtains the monitoring wrist average pressure sequence based on the wrist data of the calibration period and the monitoring period and the brachial average pressure. On this basis, the system further uses the calibrated wrist beat DC component and the monitoring wrist average pressure sequence to obtain the wrist diastolic pressure sequence and wrist systolic pressure sequence of the monitored person. The present invention not only realizes continuous and real-time monitoring of blood pressure data, but more importantly, by introducing a personalized calibration mechanism, it significantly improves the accuracy and personalization level of blood pressure monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0027] Figure 1 It is an overall schematic diagram of the system of the present invention; Figure 2 is a schematic diagram of the positions of the first monitoring module and the second monitoring module; Figure 3 is a structural diagram of a first monitoring module; Figure 4 is a structural schematic diagram of a second monitoring module; Figure 5 is a schematic diagram of the explosion of the second monitoring module; Figure 6 It is an overall schematic diagram of the method of the present invention.

[0028] Attached figures: 100, first monitoring module; 110, cuff; 120, pressure sensing device; 200, second monitoring module; 210, flexible film layer; 220, rigid base; 230, pressure signal acquisition unit; 240, pressure sensitive unit; 250, air vent; 260, injection hole; 300, signal transmission module. DETAILED DESCRIPTION

[0029] The present invention is further described in detail below in conjunction with the embodiments, which are explanations of the present invention but are not limited to the following embodiments. In the absence of conflict, the features in the following embodiments can be combined with each other.

[0030] like Figure 1 As shown, a dynamic blood pressure monitoring system based on oscillometric method and arterial tension method includes a first monitoring module 100, a second monitoring module 200 and a signal processing module 300; The first monitoring module 100 is used to collect the brachial pressure signal of the monitored person; The second monitoring module 200 is used to collect the wrist pressure signal of the monitored person; the wearing positions of the first monitoring module and the second monitoring module are as follows: Figure 2 As shown; The signal processing module 300 is configured as follows: Based on the time series, the brachial pressure signal of the calibration period is obtained to form a brachial pressure signal sequence; based on the brachial pressure signal sequence, the brachial mean pressure, the brachial diastolic pressure, the brachial systolic pressure and the brachial characteristic coefficient are obtained; Based on the brachial systolic pressure, brachial diastolic pressure and brachial characteristic coefficient, the calibrated wrist DC component per beat is obtained to calibrate the brachial data to the wrist data; Based on the time series, wrist pressure signals of the calibration period and the monitoring period are obtained to form a calibration wrist pressure signal sequence and a monitoring wrist pressure signal sequence, respectively, and then a calibration wrist DC component per beat sequence and a monitoring wrist DC component per beat sequence are obtained; Based on the calibrated wrist DC component per beat sequence and the calibrated wrist pressure signal sequence, a wrist DC transmural pressure model is constructed. Combined with the monitored wrist DC component per beat sequence, a monitored wrist transmural pressure sequence is obtained. Combined with the brachial average pressure, a monitored wrist average pressure sequence is obtained. Wrist diastolic pressure model and wrist systolic pressure model are constructed, and combined with the calibration of wrist beat DC component, monitoring wrist pressure signal sequence and monitoring wrist average pressure sequence, the wrist diastolic pressure sequence and wrist systolic pressure sequence are obtained to realize continuous monitoring of the blood pressure of the monitored person.

[0031] In the first monitoring module 100, the first monitoring module 100 is used to collect the brachial pressure signal of the monitored person, and the brachial pressure signal includes the brachial oscillation pressure signal and the brachial cuff pressure signal. Figure 3As shown, the first monitoring module 100 includes a cuff 110, a pressure sensor 120 and a brachial signal transmission unit (not shown in the figure). The pressure sensor 120 is arranged on the inner side of the cuff 110. The brachial oscillation pressure signal is collected through the pressure sensor 120. The brachial cuff pressure signal is collected through the cuff 110. The brachial cuff pressure signal includes a DC signal and an AC signal. The brachial signal transmission unit is used to transmit the brachial oscillation pressure signal and the brachial cuff pressure signal. The cuff 110 is located at the brachial artery of the upper arm of the monitored person, at the same height as the human heart, to eliminate the measurement error caused by the height difference with the heart. The inflatable airbag output port of the cuff 110 is connected to an external air pump, which is used to change the airbag pressure of the first monitoring module 100 during oscillometric measurement, thereby collecting the brachial blood pressure signal during the oscillometric blood pressure measurement process. The pressure sensing device 120 is a capacitive pressure sensing device, which has the characteristics of direct current isolation and alternating current transmission and excellent oscillation response capability, and can sensitively capture oscillation signals, thereby improving the shortcoming of the cuff 110 that the oscillation signal collection effect is poor. In one embodiment, the pressure sensing device 120 is a PVDF film pressure sensor. The first monitoring module 100 collects the brachial oscillation pressure signal and the brachial cuff pressure signal of the monitored person.

[0032] In the second monitoring module 200, the second monitoring module 200 is used to collect the wrist pressure signal of the monitored person. Figure 4-Figure 5 As shown, the second monitoring module includes a flexible film layer 210, a rigid base 220, a pressure signal acquisition unit 230, two pressure sensitive units 240 and a wrist signal transmission unit (not shown in the figure).

[0033] A baffle is provided in the middle of the rigid base 210, and protrusions are provided at both ends. The pressure signal acquisition unit 230 is provided on the first surface of the rigid base 220, and the flexible film layer 210 is provided on the second surface of the rigid base 220. The flexible film layer 210 and the rigid base 220, the rigid base 220 and the pressure signal acquisition unit 230 are all sealed and connected, and the bottom of the pressure sensitive unit 240 is sealed and connected to the pressure signal acquisition unit 230. Two sealed cavities (also called pressure transmission medium cavities) are formed between the rigid base 220 and the pressure signal acquisition unit 230 through the flexible film layer 210. The two sealed pressure transmission medium cavities are not connected to each other, and the two pressure transmission medium cavities are respectively filled with pressure sensing silicone oil, and the pressure sensing silicone oil has good temperature stability and low viscosity.

[0034] The pressure signal acquisition unit 230 is provided with two air holes 250, which are located directly below the pressure sensitive unit 240. One end of the air hole 250 is connected to the outside air from the bottom of the pressure signal acquisition unit 230, and the other ends of the two air holes 250 are respectively connected to the bottoms of the two pressure sensitive units 240, and the pressure sensitive units 240 are fixedly connected to the other ends of the air holes 250. The air holes 250 are used to transmit the external air pressure to the bottom of the pressure sensitive unit 240, and the external air pressure is used as the reference pressure of the pressure sensitive unit 240 to eliminate the measurement error caused by the change of the external air pressure.

[0035] The two pressure sensitive units 240 are respectively located in two pressure transmission medium cavities and immersed in pressure sensing silicone oil. The two pressure sensitive units 240 are respectively electrically connected to the pressure signal acquisition unit 230 through gold wires. Their function is to protect the pressure sensitive units 240 from being easily damaged due to collisions with the second monitoring module 200. The gold wire connection can improve signal transmission efficiency and reliability.

[0036] The pressure signal acquisition unit 230 is provided with two injection holes 260, which are connected to the pressure transmission medium chamber. One end of the two injection holes 260 is connected to the external injection source from the bottom of the pressure signal acquisition unit 230, and the other end of the two injection holes 260 is respectively connected to the two pressure transmission medium chambers. The two injection holes 260 are used to inject pressure sensing silicone oil into the pressure transmission medium chamber. After the oil injection is completed, the port of the injection hole 260 connected to the external injection source is sealed.

[0037] The second monitoring module 200 is mounted on the smart monitoring equipment on the wrist, such as a smart watch or smart bracelet or a smart device with equivalent functions. The second monitoring module 200 is attached to the skin of the radial artery on the wrist of the monitored person. The height of the middle baffle of the rigid base 210 is lower than the arc protrusions at both ends of the rigid base, so that the pressure transmission medium cavity forms a protrusion and fits with the surface of the wrist skin, which can effectively ensure the degree of correlation between the applied external pressure and the blood pressure signal measurement. The connection line of the two pressure sensitive units 240 is parallel to the direction of the radial artery of the wrist. When working, the external force applied by the outside world (such as the wristband of the smart monitoring equipment) is received so that the pressure transmission medium cavity of the second monitoring module 200 is close to the skin surface, and the radial artery remains in a compressed state, so that the pressure signal of the radial artery of the wrist can be transmitted to the pressure sensitive unit 240 through the flexible film layer 210 and the pressure transmission medium cavity on the skin surface, and then the wrist pressure signal is converted into a voltage signal for collection. Therefore, the second monitoring module 200 collects the wrist pressure signal of the monitored person, and the sequence formed by the wrist pressure signal is the blood pressure waveform of the radial artery at the wrist.

[0038] In the second monitoring module 200, the wrist pressure is transmitted to the pressure sensitive unit 240 through the flexible film layer 210 and the pressure sensing silicone oil. The pressure sensitive unit 240 converts the wrist pressure into an electrical signal. The pressure signal acquisition unit 230 converts the electrical signal into a pressure signal and transmits it to the signal processing module 300 through the wrist signal transmission unit.

[0039] In the signal processing module 300, the signal processing module 300 obtains a brachial pressure signal sequence and a wrist pressure signal sequence, obtains blood pressure characteristics such as brachial systolic pressure and brachial diastolic pressure of the monitored person based on the brachial pressure signal sequence, and the brachial systolic pressure and the brachial diastolic pressure are used to calibrate the wrist pressure signal sequence. Based on the calibrated data and the wrist pressure signal sequence, an accurate continuous blood pressure signal is obtained to achieve accurate and personalized continuous blood pressure measurement, including the following steps: Step 1: Based on the time series, the brachial pressure signal of the calibration period is obtained to form a brachial pressure signal sequence; based on the brachial pressure signal sequence, the brachial mean pressure, brachial diastolic pressure, brachial systolic pressure and brachial characteristic coefficient are obtained, wherein the brachial pressure signal includes a brachial oscillation pressure signal and a brachial cuff pressure signal, specifically including: The calibration cycle includes an inflation phase and a deflation phase, and a brachial oscillation pressure signal and a brachial cuff pressure signal in the brachial cuff inflation phase and deflation phase of the calibration cycle are obtained based on a time series to form a brachial oscillation pressure signal sequence and a brachial cuff pressure signal sequence, respectively, wherein the brachial cuff pressure signal includes a DC signal and an AC signal; extracting the brachial oscillation pressure signal sequence and the brachial cuff pressure signal sequence in the deflation phase respectively, to form a deflated brachial oscillation pressure signal sequence and a deflated brachial cuff pressure signal sequence; Based on the deflated brachial cuff pressure signal sequence, the DC signal of the cuff pressure signal is extracted through wavelet transform and inverse wavelet transform to form a brachial cuff DC pressure sequence; Extract the peak and valley values ​​of the oscillation pressure signal in the deflated brachial oscillation pressure signal sequence to form a peak sequence and a valley sequence. Perform interpolation and difference processing on the peak sequence and the valley sequence to obtain the brachial sensing pressure amplitude sequence; Based on the brachial sensing pressure amplitude sequence, the maximum pressure amplitude point in the brachial sensing pressure amplitude sequence is obtained; the pressure signal in each oscillation cycle in the deflated brachial oscillation pressure signal sequence is averaged to obtain the brachial average oscillation pressure signal sequence; the average oscillation pressure corresponding to the moment of the maximum pressure amplitude point in the brachial average oscillation pressure signal sequence is obtained, and the average oscillation pressure is the brachial average pressure; Based on the cuff DC pressure, sensor pressure amplitude, brachial systolic pressure and brachial diastolic pressure, a brachial amplitude DC model is constructed. Based on the brachial cuff DC pressure sequence and the brachial sensor pressure amplitude sequence, the brachial amplitude DC model is optimized by the particle swarm algorithm to obtain the brachial systolic pressure and brachial diastolic pressure of the monitored person. The brachial amplitude DC model is expressed as follows:

[0040] in, represents the sensor pressure amplitude in the brachial sensor pressure amplitude sequence, represents the cuff DC pressure in the brachial cuff DC pressure sequence, and represents the coefficient, represents brachial systolic pressure, represents brachial diastolic pressure; Based on the brachial systolic pressure, the brachial diastolic pressure and the brachial mean pressure, a brachial characteristic coefficient is obtained, wherein the brachial characteristic coefficient is expressed as follows:

[0041] in, represents the brachial characteristic coefficient, Indicates mean brachial pressure.

[0042] It should be noted that those skilled in the art are well aware that although pressure data is collected, in the scenario of blood pressure measurement, pressure and pressure intensity are numerically equal, because pressure is a form of pressure, so pressure and pressure intensity are actually only conceptual conversions, not numerical conversions. Based on the habits of those skilled in the art, the text in this application is still expressed as pressure, but the symbol is expressed as (pressure).

[0043] Step 2: Based on the brachial systolic pressure, the brachial diastolic pressure and the brachial characteristic coefficient, a calibrated wrist DC component per beat is obtained to calibrate the brachial data to the wrist data, wherein the calibrated wrist DC component per beat is expressed as follows:

[0044] in, Indicates the DC component per stroke at the calibrated wrist. It represents the calibration parameter of cardiac contraction volume. Represents the cardiac cycle.

[0045] Step 3: Based on the time series, the wrist pressure signals of the calibration period and the monitoring period are obtained to form a calibration wrist pressure signal sequence and a monitoring wrist pressure signal sequence, respectively, and then obtain a calibration wrist DC component per beat sequence and a monitoring wrist DC component per beat sequence, specifically including: Acquire wrist pressure signals of a calibration period and a monitoring period based on a time series, and form a calibration wrist pressure signal sequence and a monitoring wrist pressure signal sequence respectively; The pressure signals in each pulse (each cardiac cycle) in the calibration wrist pressure signal sequence and the monitoring wrist pressure signal sequence are respectively averaged to obtain the calibration wrist per-beat DC component sequence and the monitoring wrist per-beat DC component sequence.

[0046] The calibration cycle here refers to the time interval for calibrating the blood pressure measuring device. Calibration is to ensure the accuracy and reliability of the measuring device so that it can provide accurate blood pressure readings in actual applications. The length of the calibration cycle usually depends on factors such as the stability of the device, the frequency of use, and the measurement accuracy requirements. The monitoring cycle refers to the time interval for collecting and analyzing blood pressure data during continuous blood pressure measurement. The monitoring cycle determines the frequency and density of blood pressure data collection, which is crucial for capturing subtle changes and fluctuations in blood pressure. The length of the monitoring cycle is related to the patient's health status, treatment needs, and doctor's guidance.

[0047] The present invention utilizes the measurement results of the first monitoring module within the calibration period to correct the dynamic error of the second monitoring module within the monitoring period. The shorter the calibration period, the higher the frequency of error correction, and the stronger the long-term reliability of the monitoring data. If the monitoring period is long, the calibration period can be appropriately extended. For example, for patients with chronic hypertension who are monitored at home, if the monitoring period is once every 30 minutes, the calibration period can be once a day or once a week. Reasonable settings of the calibration period and the monitoring period can jointly ensure the accuracy and reliability of continuous blood pressure measurement. By regularly calibrating the equipment and collecting data within an appropriate monitoring period, the changing trend of blood pressure can be captured more effectively.

[0048] Step 4: Based on the calibrated wrist DC component per beat sequence and the calibrated wrist pressure signal sequence, a wrist DC transmural pressure model is constructed. Combined with the monitored wrist DC component per beat sequence, a monitored wrist transmural pressure sequence is obtained, and combined with the brachial average pressure, a monitored wrist average pressure sequence is obtained, which specifically includes: extracting a calibrated wrist pressure signal sequence during the inflation phase to form an inflation wrist pressure signal sequence; Extracting the calibrated wrist DC component sequence per beat during the inflation phase to form an inflation wrist DC component sequence per beat; Performing time-step-based difference processing on the pressure signal sequence of the inflated wrist and the DC component sequence of each beat of the inflated wrist to obtain the transmural pressure sequence of the inflated wrist; Based on the inflated wrist DC component per beat sequence and the inflated wrist transmural pressure sequence, a wrist DC transmural pressure model is constructed. The wrist DC transmural pressure model is expressed as follows:

[0049] in, represents the wrist DC component per beat in the DC component per beat sequence of the inflated wrist, represents the transmural pressure in the inflated wrist transmural pressure sequence, All represent known coefficients; Based on the monitoring wrist beat DC component sequence and the wrist DC transmural pressure model, the wrist transmural pressure sequence is obtained; The monitoring wrist transmural pressure sequence and the brachial mean pressure are summed to obtain the monitoring wrist mean pressure sequence.

[0050] Step 5: Construct wrist diastolic pressure model and wrist systolic pressure model, and combine the calibration of wrist beat DC component, monitoring wrist pressure signal sequence and monitoring wrist average pressure sequence to obtain wrist diastolic pressure sequence and wrist systolic pressure sequence to realize continuous monitoring of the blood pressure of the monitored person, including: Based on the peak value, valley value and average value of the pressure in each pulse cycle in the monitoring wrist pressure signal sequence, a monitoring wrist characteristic coefficient sequence is obtained. The monitoring wrist characteristic coefficient sequence is expressed as follows:

[0051] in, Indicates the first The wrist characteristic coefficient of the pulse cycle, Indicates the first The average pressure of the pulse cycle, Indicates the first The pressure trough value of a pulse cycle, Indicates the first The peak pressure of a pulse cycle.

[0052] Based on the wrist average pressure, wrist characteristic coefficient, calibrated wrist beat-to-beat DC component and wrist diastolic pressure, a wrist diastolic pressure model is constructed. The wrist diastolic pressure model is expressed as follows:

[0053] Based on the wrist diastolic pressure, wrist characteristic coefficient, calibrated wrist beat-to-beat DC component and wrist systolic pressure, a wrist systolic pressure model is constructed. The wrist systolic pressure model is expressed as follows:

[0054] in, Indicates wrist diastolic pressure, Indicates the average wrist pressure. Indicates the DC component per stroke at the calibrated wrist. represents the wrist characteristic coefficient, Represents the cardiac cycle, Indicates wrist systolic blood pressure.

[0055] Based on the monitoring wrist average pressure sequence and the monitoring wrist characteristic coefficient sequence, combined with the wrist diastolic pressure model, the wrist diastolic pressure sequence is obtained; Based on the wrist diastolic pressure sequence and the monitored wrist characteristic coefficient sequence, combined with the wrist systolic pressure model, the wrist systolic pressure sequence is obtained.

[0056] Through the above process, the synchronous collection and efficient processing of brachial and wrist blood pressure data can be achieved. The entire solution not only realizes the continuous and real-time monitoring of blood pressure data, but also significantly improves the accuracy and personalization level of blood pressure monitoring by introducing a personalized calibration mechanism.

[0057] Embodiment 2: A dynamic blood pressure monitoring method combining oscillometric method and arterial tension method, such as Figure 6 As shown, the dynamic blood pressure monitoring system based on the oscillometric method and arterial tension method is implemented, including the following steps: S100: collecting a brachial pressure signal of the monitored person; collecting a wrist pressure signal of the monitored person; S200: acquiring a brachial pressure signal of a calibration period based on a time series to form a brachial pressure signal sequence; obtaining a brachial mean pressure, a brachial diastolic pressure, a brachial systolic pressure and a brachial characteristic coefficient based on the brachial pressure signal sequence; S300: based on the brachial systolic pressure, the brachial diastolic pressure and the brachial characteristic coefficient, a calibrated wrist stroke DC component is obtained to calibrate the brachial data to the wrist data; S400: acquiring wrist pressure signals of a calibration period and a monitoring period based on a time series, forming a calibration wrist pressure signal sequence and a monitoring wrist pressure signal sequence respectively, and then obtaining a calibration wrist DC component per beat sequence and a monitoring wrist DC component per beat sequence; S500: constructing a wrist DC transmural pressure model based on a calibrated wrist DC component per beat sequence and a calibrated wrist pressure signal sequence, combining the monitored wrist DC component per beat sequence to obtain a monitored wrist transmural pressure sequence, and combining the brachial average pressure to obtain a monitored wrist average pressure sequence; S600: constructing a wrist diastolic pressure model and a wrist systolic pressure model, and combining the calibration of wrist beat DC component, monitoring wrist pressure signal sequence and monitoring wrist average pressure sequence to obtain wrist diastolic pressure sequence and wrist systolic pressure sequence to achieve continuous monitoring of the blood pressure of the monitored person.

[0058] Various changes and modifications can be made without departing from the spirit and scope of the present invention, and all equivalent technical solutions also belong to the scope of the present invention.

[0059] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0060] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, devices, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0061] The present invention is described with reference to the flowcharts and / or block diagrams of the method, terminal device (system), and computer program product according to the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0062] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0063] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device so that a series of operating steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, thereby providing instructions for executing on the computer or other programmable terminal device to implement the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0064] It should be noted that: The "one embodiment" or "embodiment" mentioned in the specification means that the specific features, structures or characteristics described in conjunction with the embodiment are included in at least one embodiment of the present invention. Therefore, the phrases "one embodiment" or "embodiment" appearing in various places throughout the specification do not necessarily refer to the same embodiment.

[0065] In addition, it should be noted that the shapes and names of the parts and components of the specific embodiments described in this specification may be different. Any equivalent or simple changes made based on the structure, features and principles described in the patent concept of the present invention are included in the protection scope of the patent of the present invention. The technicians in the technical field of the present invention can make various modifications or supplements to the specific embodiments described or replace them in a similar manner, as long as they do not deviate from the structure of the present invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A dynamic blood pressure monitoring system based on oscillometric method and arterial tension method, characterized in that: It includes a first monitoring module, a second monitoring module and a signal processing module; The first monitoring module is used to collect the brachial pressure signal of the monitored person; The second monitoring module is used to collect the wrist pressure signal of the monitored person; The signal processing module is configured to: Based on the time series, the brachial pressure signal of the calibration period is obtained to form a brachial pressure signal sequence; based on the brachial pressure signal sequence, the brachial mean pressure, the brachial diastolic pressure, the brachial systolic pressure and the brachial characteristic coefficient are obtained; Based on the brachial systolic pressure, brachial diastolic pressure and brachial characteristic coefficient, the calibrated wrist DC component per beat is obtained to calibrate the brachial data to the wrist data; Based on the time series, wrist pressure signals of the calibration period and the monitoring period are obtained to form a calibration wrist pressure signal sequence and a monitoring wrist pressure signal sequence, respectively, and then a calibration wrist DC component per beat sequence and a monitoring wrist DC component per beat sequence are obtained; Based on the calibrated wrist DC component per beat sequence and the calibrated wrist pressure signal sequence, a wrist DC transmural pressure model is constructed. Combined with the monitored wrist DC component per beat sequence, a monitored wrist transmural pressure sequence is obtained. Combined with the brachial average pressure, a monitored wrist average pressure sequence is obtained. Wrist diastolic pressure model and wrist systolic pressure model are constructed, and combined with the calibration of wrist beat DC component, monitoring wrist pressure signal sequence and monitoring wrist average pressure sequence, the wrist diastolic pressure sequence and wrist systolic pressure sequence are obtained to realize continuous monitoring of the blood pressure of the monitored person.

2. The dynamic blood pressure monitoring system based on oscillometric method and arterial tension method according to claim 1, characterized in that: The first monitoring module includes a cuff, a pressure sensing device and a brachial signal transmission unit, wherein the pressure sensing device is a capacitive pressure sensing device; The pressure sensor is arranged inside the cuff, and the brachial oscillation pressure signal is collected through the pressure sensor, and the brachial cuff pressure signal is collected through the cuff; The brachial signal transmission unit is used to transmit the brachial oscillation pressure signal and the brachial cuff pressure signal.

3. The dynamic blood pressure monitoring system based on oscillometric method and arterial tension method according to claim 1, characterized in that: The second monitoring module includes a flexible film layer, a rigid base, a pressure signal acquisition unit, a pressure sensitive unit and a wrist signal transmission unit; The pressure signal acquisition unit is arranged on the first surface of the rigid base, the flexible film layer is arranged on the second surface of the rigid base, and a sealed cavity is formed between the rigid base and the pressure signal acquisition unit through the flexible film layer, and the cavity is filled with pressure sensing silicone oil; The pressure signal acquisition unit is provided with an air vent, one end of the air vent is connected to the outside air, and the other end of the air vent is connected to the pressure sensitive unit; the pressure sensitive unit is fixedly connected to the other end of the air vent and immersed in the pressure sensing silicone oil; The wrist pressure is transmitted to the pressure sensitive unit through the flexible film layer and the pressure sensing silicone oil. The pressure sensitive unit converts the wrist pressure into an electrical signal. The pressure signal acquisition unit converts the electrical signal into a pressure signal and transmits it to the signal processing module through the wrist signal transmission unit.

4. The dynamic blood pressure monitoring system based on oscillometric method and arterial tension method according to claim 3, characterized in that: The rigid base is provided with a baffle in the middle and protrusions at both ends; The pressure sensitive unit is electrically connected to the pressure signal acquisition unit through a gold wire; The flexible film layer and the rigid substrate, as well as the rigid substrate and the pressure signal acquisition unit are all sealed; The pressure signal acquisition unit is provided with a liquid injection hole, and the liquid injection hole is communicated with the cavity.

5. The dynamic blood pressure monitoring system based on oscillometric method and arterial tension method according to claim 1, characterized in that: The brachial pressure signal includes a brachial oscillation pressure signal and a brachial cuff pressure signal. The brachial pressure signal of the calibration period is obtained based on the time series to form a brachial pressure signal sequence; based on the brachial pressure signal sequence, the brachial mean pressure, the brachial diastolic pressure, the brachial systolic pressure and the brachial characteristic coefficient are obtained, including the following steps: Acquiring a brachial oscillation pressure signal and a brachial cuff pressure signal in a brachial cuff inflation phase and a brachial cuff deflation phase of a calibration period based on a time series, and forming a brachial oscillation pressure signal sequence and a brachial cuff pressure signal sequence, respectively, wherein the brachial cuff pressure signal includes a DC signal and an AC signal; extracting the brachial oscillation pressure signal sequence and the brachial cuff pressure signal sequence in the deflation phase respectively, to form a deflated brachial oscillation pressure signal sequence and a deflated brachial cuff pressure signal sequence; Based on the deflated brachial cuff pressure signal sequence, the DC signal of the cuff pressure signal is extracted through wavelet transform and inverse wavelet transform to form a brachial cuff DC pressure sequence; Extracting the peak and valley values ​​of the oscillation pressure signal in the deflated brachial oscillation pressure signal sequence to form a peak sequence and a valley sequence and performing interpolation and difference processing to obtain a brachial sensing pressure amplitude sequence; Based on the brachial sensing pressure amplitude sequence, the maximum pressure amplitude point in the brachial sensing pressure amplitude sequence is obtained; the pressure signal in each oscillation cycle in the deflated brachial oscillation pressure signal sequence is averaged to obtain the brachial average oscillation pressure signal sequence; the average oscillation pressure corresponding to the moment of the maximum pressure amplitude point in the brachial average oscillation pressure signal sequence is obtained, and the average oscillation pressure is the brachial average pressure; Based on the cuff DC pressure, sensor pressure amplitude, brachial systolic pressure and brachial diastolic pressure, a brachial amplitude DC model was constructed. Based on the brachial cuff DC pressure sequence and the brachial sensor pressure amplitude sequence, the brachial amplitude DC model is optimized by particle swarm algorithm to obtain the brachial systolic and diastolic pressures of the monitored person. Based on the brachial systolic pressure, brachial diastolic pressure and brachial mean pressure, the brachial characteristic coefficient is obtained; The brachial amplitude DC model is expressed as follows: The brachial characteristic coefficient is expressed as follows: in, represents the sensor pressure amplitude in the brachial sensor pressure amplitude sequence, represents the cuff DC pressure in the brachial cuff DC pressure sequence, and represents the coefficient, represents brachial systolic pressure, represents the brachial diastolic pressure, represents the brachial characteristic coefficient, Indicates mean brachial pressure.

6. The dynamic blood pressure monitoring system based on oscillometric method and arterial tension method according to claim 1, characterized in that: The calibrated wrist DC component per beat is expressed as follows: in, Indicates the DC component per stroke at the calibrated wrist. represents the brachial characteristic coefficient, Represents the cardiac cycle, represents brachial systolic pressure, Indicates brachial diastolic pressure.

7. The dynamic blood pressure monitoring system based on oscillometric method and arterial tension method according to claim 1, characterized in that: The calibration cycle includes an inflation phase and a deflation phase. The wrist DC transmural pressure model is constructed based on the calibration wrist DC component per beat sequence and the calibration wrist pressure signal sequence. The wrist DC component per beat sequence is combined to obtain the wrist transmural pressure sequence and the brachial average pressure sequence is combined to obtain the wrist average pressure sequence. The steps include: Extracting the calibrated wrist pressure signal sequence during the inflation phase to form an inflation wrist pressure signal sequence; extracting the calibrated wrist DC component per beat sequence during the inflation phase to form an inflation wrist DC component per beat sequence; Performing difference processing on the pressure signal sequence of the inflated wrist and the DC component sequence of each beat of the inflated wrist to obtain the transmural pressure sequence of the inflated wrist; Based on the DC component sequence of each beat of the pneumatic wrist and the transmural pressure sequence of the pneumatic wrist, a DC transmural pressure model of the wrist was constructed. Based on the monitoring wrist beat DC component sequence and the wrist DC transmural pressure model, the wrist transmural pressure sequence is obtained; The monitoring wrist transmural pressure sequence and the brachial average pressure are summed to obtain the monitoring wrist average pressure sequence; The wrist DC trans-wall pressure model is expressed as follows: in, represents the wrist DC component per beat in the DC component per beat sequence of the inflated wrist, represents the transmural pressure in the inflated wrist transmural pressure sequence, All represent known coefficients.

8. The dynamic blood pressure monitoring system based on oscillometric method and arterial tension method according to claim 1, characterized in that: The method of constructing the wrist diastolic pressure model and the wrist systolic pressure model, and combining the calibration of the wrist DC component per beat, monitoring the wrist pressure signal sequence, and monitoring the wrist average pressure sequence to obtain the wrist diastolic pressure sequence and the wrist systolic pressure sequence, includes the following steps: Based on the peak value, valley value and average value of the pressure in each pulse cycle in the monitoring wrist pressure signal sequence, a monitoring wrist characteristic coefficient sequence is obtained; A wrist diastolic pressure model was constructed based on wrist mean pressure, wrist characteristic coefficient, calibrated wrist beat-to-beat DC component and wrist diastolic pressure. A wrist systolic blood pressure model was constructed based on wrist diastolic blood pressure, wrist characteristic coefficient, calibrated wrist beat-to-beat DC component and wrist systolic blood pressure. Based on the monitoring wrist average pressure sequence and the monitoring wrist characteristic coefficient sequence, combined with the wrist diastolic pressure model, the wrist diastolic pressure sequence is obtained; Based on the wrist diastolic pressure sequence and the monitoring wrist characteristic coefficient sequence, combined with the wrist systolic pressure model, the wrist systolic pressure sequence is obtained; The wrist monitoring characteristic coefficient sequence is expressed as follows: The wrist diastolic pressure model is expressed as follows: The wrist systolic blood pressure model is expressed as follows: in, Indicates the first The wrist characteristic coefficient of the pulse cycle, Indicates the first The average pressure of the pulse cycle, Indicates the first The pressure trough value of a pulse cycle, Indicates the first The peak pressure of a pulse cycle, Indicates wrist diastolic pressure, Indicates the average wrist pressure. Indicates the DC component per stroke at the calibrated wrist. represents the wrist characteristic coefficient, Represents the cardiac cycle, Indicates wrist systolic blood pressure.

9. A dynamic blood pressure monitoring method based on oscillometric method and arterial tension method, and a dynamic blood pressure monitoring system based on oscillometric method and arterial tension method, characterized in that: The following steps are involved: Collecting brachial pressure signals of the monitored person; Collecting wrist pressure signals of the monitored person; Based on the time series, the brachial pressure signal of the calibration period is obtained to form a brachial pressure signal sequence; based on the brachial pressure signal sequence, the brachial mean pressure, the brachial diastolic pressure, the brachial systolic pressure and the brachial characteristic coefficient are obtained; Based on the brachial systolic pressure, brachial diastolic pressure and brachial characteristic coefficient, the calibrated wrist DC component per beat is obtained to calibrate the brachial data to the wrist data; Based on the time series, wrist pressure signals of the calibration period and the monitoring period are obtained to form a calibration wrist pressure signal sequence and a monitoring wrist pressure signal sequence, respectively, and then a calibration wrist DC component per beat sequence and a monitoring wrist DC component per beat sequence are obtained; Based on the calibrated wrist DC component per beat sequence and the calibrated wrist pressure signal sequence, a wrist DC transmural pressure model is constructed. Combined with the monitored wrist DC component per beat sequence, a monitored wrist transmural pressure sequence is obtained. Combined with the brachial average pressure, a monitored wrist average pressure sequence is obtained. Wrist diastolic pressure model and wrist systolic pressure model are constructed, and combined with the calibration of wrist beat DC component, monitoring wrist pressure signal sequence and monitoring wrist average pressure sequence, the wrist diastolic pressure sequence and wrist systolic pressure sequence are obtained to realize continuous monitoring of the blood pressure of the monitored person.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to claim 9 is implemented.

11. A dynamic blood pressure monitoring device based on oscillometric method and arterial tension method, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the method according to claim 9 is implemented.

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