CN-121059235-B - Control method and system of arterial compression device

CN121059235BCN 121059235 BCN121059235 BCN 121059235BCN-121059235-B

Abstract

The application relates to a control method and a control system of an arterial compression device, which solve the problem that the compression parameters are not matched with actual hemostasis requirements because the depth association of the vascular characteristics and individual conditions is not established no matter the uniform parameter setting of a mechanical fixed mode or the simple feedback logic of a primary electronic regulation mode; if the deviation between the current pressure and the theoretical value of the curve is larger than the preset deviation value, synchronously correcting the decompression amplitude according to the deviation value, wherein the correction quantity is positively correlated with the elastic parameter of the blood vessel, and when the accumulated time length reaches the total compression time set by the curve, the pressure is regulated and controlled according to the ending pressure set by the curve and the preset time length is maintained. The application has the following effects of realizing personalized accurate compression and improving hemostatic safety and patient comfort level.

Inventors

YE LINGXIAO
WANG LILI
LIAN JIANGFANG
WANG JIE
YANG DAN
ZHENG XUYAN
SUN JINGJING

Assignees

宁波市医疗中心李惠利医院(宁波大学附属李惠利医院)

Dates

Publication Date: 20260508
Application Date: 20250829

Claims (6)

1. A control system of an arterial compression device, comprising a processor, a memory storing a computer program, the processor being configured to implement a control method of the arterial compression device when executing the computer program, the specific steps being as follows: Receiving artery type and vascular elasticity parameters of the puncture part, automatically matching basic ranges of initial pressure, total compression time and termination pressure, and generating a personalized decompression curve containing preset time intervals and corresponding decompression values which are differentially set according to the artery type after being adjusted by combining patient characteristics; Based on the personalized decompression curve, a preset pressure adjusting module is controlled to inflate the preset compression unit to the initial pressure, and timing is synchronized; The current pressure and the accumulated time length of the compression unit are collected in real time in the timing period, and the pressure is reduced according to the personalized pressure reduction curve when the preset interval is reached; When the accumulated time length reaches the set total pressing time, regulating and controlling according to the set termination pressure and maintaining the preset time length, continuously monitoring and confirming that the pressure fluctuation is smaller than the preset pressure fluctuation by a pressure sensor, and then releasing the pressure and prompting; the step of decompressing according to the personalized decompression curve when reaching the preset interval comprises the following steps: based on the corresponding relation between the current accumulated time length and the personalized decompression curve, a pre-stored pressure-time correlation model is called to calculate a target decompression value; Meanwhile, carrying out Kalman filtering processing on pressure data acquired by a preset pressure sensor in real time, fusing the pressure data with three-dimensional activity data acquired by a preset acceleration sensor through an attention mechanism network, and eliminating false pressure fluctuation caused by limb swing by dynamically adjusting the weight of the pressure data; After the effective pressure reduction requirement is confirmed, a preset sectional PWM pulse algorithm is adopted to drive a preset pressure regulating module, and the air release rate is controlled through a built-in current limiting structure of the pressure regulating module, so that the pressure reduction process is stable; the driving of the preset pressure regulating module by adopting the preset sectional PWM pulse algorithm comprises the following steps: Initializing pulse parameters based on puncture parts and personalized decompression curves, wherein the method specifically comprises the steps of setting preset basic frequency and initial duty ratio according to the parts, and correcting preset segmentation threshold values by combining individual characteristics of patients; Dividing the effective pressure signal into three stages of quick adjustment, fine adjustment and ending adjustment according to the deviation of the current pressure and the target pressure reduction value and the preset segmentation threshold value, wherein each stage adopts preset frequency and duty ratio combination respectively; And synchronously collecting pressure feedback in the adjusting process, and triggering a preset parameter correction mechanism if the change rate exceeds a preset stability standard or an activity interference signal is received, wherein the mechanism comprises the steps of temporarily adjusting the duty ratio and prolonging the current stage, and recovering the original adjusting logic after the change rate is stabilized.
2. The control system of an arterial compression device according to claim 1, wherein the three-dimensional activity data collected by the preset acceleration sensor is integrated by an attention mechanism network, and the elimination of false pressure fluctuation caused by limb swing by dynamically adjusting the weight of the pressure data comprises: Starting an acceleration sensor, adjusting sampling frequency according to the characteristics of the puncture part, collecting three-dimensional activity data, and preprocessing the data; based on the preprocessing data, axial weights are distributed according to the part characteristics to filter irrelevant signals, and key activity characteristics are extracted; inputting the filtered pressure data and the activity characteristics into an attention mechanism network, dynamically distributing weights by the network according to the activity characteristics, and grading and reducing the pressure data weights when limbs swing; The attention mechanism network performs fusion calculation on the pressure data and the activity characteristics through dynamic weights, generates an effective pressure signal, and calculates the relevance quantization index of fluctuation and the activity characteristics; When the fluctuation starting time difference is less than or equal to a preset time difference threshold value and the intensity change correlation coefficient is more than or equal to a preset correlation coefficient threshold value, judging that the fluctuation is false fluctuation caused by limb swing, and maintaining the current pressure according to the preset time length of the puncture part adaptation; Otherwise, the actual pressure decay is determined, and a preset decompression operation logic is triggered.
3. A control system for an arterial compression device as claimed in claim 1, wherein triggering a preset parameter modification mechanism comprises: Synchronously acquiring multi-source data, including pressure feedback, pulse parameters, active interference signals, hardware states and environment parameters, and generating a data sequence with a time stamp according to a preset sampling frequency; Extracting and quantifying characteristics based on the acquired data, wherein the characteristics comprise pressure change rate, interference intensity, hardware attenuation coefficient converted by a preset model and environment influence coefficient, and forming a comprehensive characteristic vector; comparing the comprehensive feature vector with a multidimensional threshold matrix, and matching a correction strategy according to the trigger type; generating a duty ratio adjustment amplitude, a phase duration extension value and a frequency fine adjustment coefficient according to a matching strategy and current adjustment phase characteristics, and ensuring the safety range of the superhard part through a preset constraint algorithm; Performing decompression operation according to the adjustment parameters, synchronously increasing the sampling frequency to a preset high-frequency mode, calculating the deviation value of the pressure track and the theoretical curve in real time, and continuously evaluating the correction effect; when the deviation value is less than or equal to the preset precision threshold value and the external interference factor is normal, starting a preset smooth transition algorithm, gradually recovering the original regulating parameters in an exponential decay mode, and ending the correction mechanism after the original logic is connected.
4. A control system of an arterial compression device according to claim 3, wherein in the step of synchronously acquiring multi-source data, a signal acquisition and preprocessing sub-step of a micro pulse sensor is additionally provided, specifically comprising: Synchronously acquiring real-time pulse signals of a miniature pulse sensor, wherein the miniature pulse sensor presets an optimal attaching area based on a puncture part, and confirms an attaching state through a preset position identification module; Preprocessing pulse signals, including position offset compensation and environmental interference filtering; extracting and quantifying features from the preprocessed pulse signals; and fusing the pulse signal characteristics with the original quantized characteristics to form an expanded comprehensive characteristic vector.
5. A control system for an arterial compression device as claimed in claim 4, wherein forming the extended integrated feature vector comprises: based on the result of the environmental interference filtering and the position attaching state, determining the reliability quantification value of the pulse signal by adopting a preset reliability quantification analysis method; Distributing dynamic weights for pulse characteristics according to the credibility quantization values; Calculating the time sequence correlation coefficient of the original quantization characteristic and the pulse characteristic; integrating the pulse characteristics after dynamic weighting and the original characteristics after weight adjustment through a preset fusion algorithm to generate an expanded comprehensive characteristic vector; carrying out validity check on the expanded comprehensive feature vector, and calculating the degree of synergy of each feature in the vector; if the degree of synergy is more than or equal to a preset check threshold, continuing the subsequent steps; If the synergy is less than the verification threshold, jumping to a step of preprocessing the pulse signals, adjusting the preprocessing key parameters, and re-preprocessing the pulse signals after adjustment and performing feature extraction quantization, and regenerating and verifying the expanded comprehensive feature vector until the synergy reaches the standard.
6. A control system for an arterial compression device as claimed in claim 5, wherein generating an extended integrated feature vector comprises: Synchronously acquiring the non-contact pulse signals of the iPG and the gesture data of the triaxial gyroscope, and aligning the non-contact pulse signals with the contact pulse characteristics and the original characteristics according to time stamps; Removing motion artifacts by wavelet transformation on the iPG signal, extracting waveform amplitude and main peak interval as quantization characteristics, smoothing gyroscope data by Kalman filtering, and extracting rotation angle peak value and angular velocity mean value as attitude characteristics; Based on the physiological homology of the contact pulse characteristics and the iPG characteristics, calculating the waveform similarity of the contact pulse characteristics and the iPG characteristics, and dynamically distributing weight according to the similarity; Introducing an individualized arterial wall stress-strain model, reversely pushing the vascular elastic modulus based on a CT image of a puncture part and individual characteristics of a patient through pulse wave transmission speed, correcting the influence of vascular displacement on pressure distribution by combining gyroscope posture data, generating vascular closure degree quantification characteristics, and integrating the vascular closure degree quantification characteristics into a characteristic set; And integrating the weighted contact pulse characteristics, the weighted iPG characteristics, the weighted gesture characteristics, the weighted original characteristics and the weighted vascular closure characteristics by adopting a hierarchical attention fusion algorithm, calculating a final weight matrix through the interaction relation among the characteristics, and generating an expanded comprehensive characteristic vector after weighted summation and dimensional normalization.

Description

Control method and system of arterial compression device Technical Field The invention relates to the technical field of medical equipment, in particular to a control method and a control system of an arterial compression device. Background The arterial compression device is core equipment for realizing hemostasis of a puncture part after interventional diagnosis and treatment, and provides a stable environment for vascular healing by applying controllable pressure to the arterial puncture point, and the scientificity of the control method directly relates to hemostasis efficiency, patient safety and postoperative comfort level, so that the arterial compression device has irreplaceable clinical value in the fields of cardiovascular intervention, nerve intervention and the like. In the related art, the control method of the arterial compression device mainly includes a mechanical fixing mode and a primary electronic adjusting mode. The primary electronic regulation mode introduces a pressure sensor and simple timing logic, can adjust the deflation rhythm according to real-time pressure feedback, but depends on a single pressure parameter or a fixed algorithm. For the related technology, the inventor finds that the following defects exist that the simple feedback logic of the mechanical fixed mode and the primary electronic regulation mode are not established in depth association with the blood vessel characteristics and the individual conditions, so that the compression parameters are not matched with the actual hemostasis requirements, the discomfort of a patient is caused if the compression parameters are light, the clinical risk is caused by excessive or insufficient compression, and the treatment safety is influenced. Disclosure of Invention In order to achieve personalized accurate compression and improve hemostatic safety and comfort of patients, the application provides a control method and a control system of an arterial compression device. In a first aspect, the present application provides a control method of an arterial compression device, which adopts the following technical scheme: A method of controlling an arterial compression device, comprising: Receiving artery type and vascular elasticity parameters of the puncture part, automatically matching basic ranges of initial pressure, total compression time and termination pressure, and generating a personalized decompression curve containing preset time intervals and corresponding decompression values which are differentially set according to the artery type after being adjusted by combining patient characteristics; Based on the personalized decompression curve, a preset pressure adjusting module is controlled to inflate the preset compression unit to the initial pressure, and timing is synchronized; The current pressure and the accumulated time length of the compression unit are collected in real time in the timing period, and the pressure is reduced according to the personalized pressure reduction curve when the preset interval is reached; When the accumulated time length reaches the set total pressing time, regulating and controlling according to the set termination pressure and maintaining the preset time length, continuously monitoring and confirming that the pressure fluctuation is smaller than the preset pressure fluctuation through the pressure sensor, and then releasing the pressure and prompting. By adopting the technical scheme, the method adapts individual difference through the personalized decompression curve, dynamically corrects the decompression amplitude, combines fluctuation monitoring to accurately release pressure, improves compression precision, reduces bleeding or ischemia risk, and ensures postoperative hemostasis safety and patient comfort. In a second aspect, the present application provides a control system for an arterial compression device, which adopts the following technical scheme: A control system for an arterial compression device comprising a memory, a processor and a program stored on the memory and executable on the processor, the program being capable of implementing the control method for an arterial compression device according to the first aspect when loaded and executed by the processor. Drawings Fig. 1 is a flow chart of a control method of an arterial compression device according to an embodiment of the application. FIG. 2 is a schematic flow chart of the pressure reduction according to the personalized pressure reduction curve when the preset interval is reached according to another embodiment of the application. Detailed Description The present application will be described in further detail with reference to the accompanying drawings. Referring to fig. 1, a control method of an arterial compression device according to the present disclosure includes: Step S100, receiving artery type and vascular elasticity parameters of the puncture part, automatically matching basic ranges of initial pressure, total