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CN-121987161-A - Be used for vascular surgery postoperative intelligent monitoring and early warning system

CN121987161ACN 121987161 ACN121987161 ACN 121987161ACN-121987161-A

Abstract

The invention discloses an intelligent monitoring and early warning system used after vascular surgery, which belongs to the technical field of medical monitoring and comprises a vascular multidimensional sensing module, a self-adaptive data calibration module, a space-time characteristic mining module, an intelligent risk grading module, a multi-mode early warning pushing module, a diagnosis and treatment linkage scheduling module and a postoperative rehabilitation auxiliary module, wherein the invention realizes real-time and multidimensional monitoring of the state of a blood vessel after surgery by constructing a full-link integrated intelligent system, the method has the advantages that the scientization and the interpretability quantification of the risk assessment and the cooperative closed-loop management of early warning, diagnosis and treatment and rehabilitation effectively fill the technical blank of accurate early warning of postoperative early complications, greatly improve timeliness and accuracy of the identification of the complications, optimize the allocation efficiency of hospital diagnosis and treatment resources, provide data support for patient customized rehabilitation, integrally reduce the incidence rate of postoperative complications, shorten the rehabilitation period of patients and improve the intelligent level and clinical management quality of diagnosis and treatment after vascular surgery.

Inventors

  • MEI HAIJUN

Assignees

  • 南通大学附属医院

Dates

Publication Date
20260508
Application Date
20260312

Claims (10)

  1. 1. The intelligent monitoring and early warning system for the vascular surgery is characterized by comprising a vascular multidimensional sensing module, a self-adaptive data calibration module, a space-time feature mining module, an intelligent risk classification module, a multi-mode early warning pushing module, a diagnosis and treatment linkage scheduling module and a postoperative rehabilitation auxiliary module; the vascular multidimensional sensing module is used for collecting blood vessel hemodynamic parameters, blood vessel wall states and local tissue sign data of a patient after operation; The self-adaptive data calibration module is used for carrying out noise filtering, outlier correction and cross-equipment data normalization processing on the collected original data; the space-time feature mining module is used for extracting time sequence change features and space distribution features of blood vessel parameters and constructing a post-operation blood vessel state feature set; The intelligent risk classification module is used for calculating a vascular complication risk value based on the feature set, classifying risk grades and generating a classification basis; The multi-mode early warning pushing module is used for pushing accurate early warning information to medical staff and patients according to the risk level matching corresponding early warning modes; The diagnosis and treatment linkage scheduling module is used for linking the hospital diagnosis and treatment resources, automatically generating a diagnosis and treatment response scheme according to the early warning grade and pushing the diagnosis and treatment response scheme to the corresponding execution subject; And the postoperative rehabilitation auxiliary module is used for generating a personalized rehabilitation training plan for the patient and dynamically adjusting the personalized rehabilitation training plan based on the monitoring data and the risk assessment result.
  2. 2. The intelligent monitoring and early warning system for vascular surgery according to claim 1, wherein the vascular multidimensional sensing module comprises an implantable miniature sensing unit, a body surface attachment sensing unit and an image supplementing and collecting unit, which are cooperatively used for realizing multidimensional data collection, wherein the implantable miniature sensing unit is embedded into a post-surgery vascular anastomosis and a site easy to narrow to collect blood flow velocity, blood vessel inner diameter, blood vessel wall tension and blood flow shear stress data in real time; the body surface attached sensing unit is attached to the body surface of the operation area of the patient, acquires data of local skin temperature, blood oxygen saturation and tissue edema degree, and sends the data to the data processing end in real time in a wireless transmission mode; The image supplementing and collecting unit is in butt joint with the ultrasonic equipment, is used for regularly collecting blood vessel ultrasonic image data and verifying the accuracy of the data collected by the sensing unit, the collecting period can be set by medical staff according to the illness state of a patient, and the collected data are attached with a time stamp and a patient identity.
  3. 3. The intelligent monitoring and early warning system for vascular surgery according to claim 1, wherein the self-adaptive data calibration module is connected with the vascular multidimensional sensing module in a butt joint mode, receives transmitted original data, removes noise caused by equipment interference, human motion interference and environmental interference through self-adaptive noise filtration, screens out data exceeding a physiologically reasonable range through abnormal value identification, corrects the data, converts the data acquired by different types of sensing units and different equipment into a unified data format through cross-equipment normalization processing, eliminates data dimension difference, calculates correction values through linear interpolation based on effective data points adjacent to each other before and after the abnormal value through interpolation.
  4. 4. The intelligent monitoring and early warning system for vascular surgery according to claim 1, wherein the space-time feature mining module is in butt joint with the self-adaptive data calibration module, receives the calibrated effective data, extracts the variation trend, fluctuation amplitude and mutation feature of the parameter of the mined blood vessel along with time through time sequence features, extracts the distribution rule of the difference of the parameters of different parts of the mined blood vessel through space distribution features, and finally fuses and forms a post-operation blood vessel state feature set, wherein the built-in time sequence feature extraction implementation formula is as follows: , in the formula (i) the formula (ii), The time series characteristic value at the time t is represented, The weighting factor representing the ith blood flow parameter, Representing the real-time acquisition of the ith blood flow parameter, Represents the post-operative normal reference mean of the blood flow parameters, Representing the normal reference standard deviation of the blood flow parameter, Indicating the acquisition time of the i-th parameter, Indicating the instant of the current analysis, Representing the time decay coefficient.
  5. 5. The intelligent monitoring and early warning system for vascular surgery according to claim 4, wherein the space-time feature mining module further comprises feature screening, wherein the association degree of each feature and vascular complications is calculated through mutual information entropy, core features with the association degree being greater than or equal to a preset threshold are screened out, redundant features are removed, and extraction precision of corresponding features is enhanced for the complications of different surgeries.
  6. 6. The intelligent monitoring and early warning system for vascular surgery according to claim 1, wherein the intelligent risk classification module is connected with the space-time feature mining module, receives the transmitted core feature set, calculates risk values of complications after vascular surgery through fusion machine learning algorithm, classifies three risk levels of high, medium and low, and generates a risk classification basis, wherein the built-in risk value calculation formula is as follows: ; in the formula (i) the formula (ii), Represents the risk value of vascular complications after operation, Represents a risk reference value and, The risk weight representing the jth core feature, Normalized feature values representing the jth core feature, Representing the post-operative time correction coefficient, Indicating the time that the operation has been resumed, Representing a post-operative risk high-stage threshold.
  7. 7. The intelligent monitoring and early warning system for vascular surgery according to claim 1, wherein the multi-mode early warning pushing module is used for interfacing with the intelligent risk grading module, receiving risk grades and risk bases, matching corresponding early warning modes according to different risk grades, adopting multi-mode early warning modes of audible and visual warning, emergency pushing of a medical care end and reminding of a patient end for high risk grades, pushing medical care end push contents comprising patient identity information, risk grades, core risk characteristics, risk bases and preliminary treatment suggestions to responsible doctors, nurses and department monitoring stations, triggering ward audible and visual alarms at the same time, adopting modes of conventional pushing of the medical care end and important reminding of the patient end for medium risk grades, reminding medical care personnel to strengthen monitoring, guiding patients to observe oneself, and pushing rehabilitation notes and periodic monitoring reminders to the patient end only for low risk grades.
  8. 8. The intelligent monitoring and early warning system for vascular surgery according to claim 1, wherein the diagnosis and treatment linkage scheduling module is used for interfacing with the intelligent risk grading module and the multi-mode early warning pushing module, automatically generating a diagnosis and treatment response scheme based on risk grades and connecting with hospital diagnosis and treatment resources, automatically generating an emergency diagnosis and treatment response scheme for high risk grades, including an emergency consultation application, examination appointment, bed scheduling and first-aid article preparation, pushing the scheme to responsible doctors, nurses and related departments, synchronously updating patient priorities in the hospital diagnosis and treatment system, centering the risk grades, generating a conventional diagnosis and treatment response scheme, including increasing monitoring frequency, adjusting medication scheme and special department follow-up plan, pushing to responsible doctors, executing after auditing, tracking the execution progress of the scheme in real time, and automatically pushing reminders to department responsible persons if responses are not completed within a specified time.
  9. 9. The intelligent monitoring and early warning system for vascular surgery according to claim 1, wherein the postoperative rehabilitation assistance module is in butt joint with the self-adaptive data calibration module, the intelligent risk grading module and the diagnosis and treatment linkage scheduling module, generates a personalized rehabilitation training plan for a patient based on calibrated monitoring data, risk assessment results and diagnosis and treatment conditions and dynamically adjusts according to real-time monitoring data, wherein the rehabilitation training plan comprises training types, training intensity, training duration and training frequency, makes different schemes for different operation types and risk grades, evaluates the effectiveness of rehabilitation training by comparing vascular parameter changes before and after rehabilitation and risk grade changes, automatically adjusts the training plan if the rehabilitation effect is poor, is pushed to a patient end and a medical care end, guides the patient to optimize the rehabilitation training by medical staff, and simultaneously pushes rehabilitation training key node information to the vascular multidimensional sensing module, triggers the module to increase data acquisition frequency before and after training, and accurately monitors the influence of the rehabilitation training on vascular state.
  10. 10. The intelligent monitoring and early warning system for vascular surgery according to claim 1, further comprising a data storage and traceability module, wherein the data storage and traceability module is used for butting all modules and storing collected original data, calibrated data, feature sets, risk assessment results, early warning records, diagnosis and treatment response schemes and rehabilitation data, the patient privacy safety is ensured by adopting an encryption storage mode, the storage period is not lower than the postoperative follow-up period of the patient, and meanwhile, related data of any module is queried according to the identity identification and the time range of the patient, so that data export and clinical analysis are supported.

Description

Be used for vascular surgery postoperative intelligent monitoring and early warning system Technical Field The invention belongs to the technical field of medical monitoring, and particularly relates to an intelligent monitoring and early warning system used after vascular surgery. Background Vascular surgery is a core means for treating vascular diseases such as arterial occlusion, aneurysm, venous thrombosis and the like, and early recognition and closed loop management of postoperative complications directly influence the success rate of the surgery and prognosis of patients. However, the existing intelligent monitoring and early warning system after vascular surgery has certain defects that the existing postoperative complications depend on manual experience judgment, early abnormality identification is delayed, diagnosis omission rate is high, monitoring data sources are scattered and standardized, data reliability and consistency are poor, and accurate risk assessment is difficult to support. The risk assessment is mostly simple threshold judgment or general grading, lacks scientific quantification and interpretability, and cannot accurately reflect the real risk degree. The early warning information is mutually disjointed with the clinical diagnosis and treatment and rehabilitation flow, closed loop management is not formed, high-risk patients cannot be rapidly linked with emergency treatment of multiple departments, and low-risk patients lack standardized diagnosis and treatment guidance. Meanwhile, the system only focuses on single time dimension monitoring, does not consider the characteristic of vascular space heterogeneity, has redundant characteristics and fixed weight, and has poor adaptability to different operations. The problems of incomplete monitoring, inaccurate assessment, untimely response, insufficient coordination and the like exist in the whole body, the requirements of refined and intelligent management after vascular surgery cannot be met, the complication prevention and control efficiency and the patient rehabilitation effect are limited, and therefore the intelligent monitoring and early warning system used after vascular surgery is provided. Disclosure of Invention The invention aims to provide an intelligent monitoring and early warning system used after vascular surgery, which is used for solving the problems in the background technology. In order to achieve the aim, the invention provides the following technical scheme that the intelligent monitoring and early warning system for the vascular surgery comprises a vascular multidimensional sensing module, a self-adaptive data calibration module, a space-time feature mining module, an intelligent risk grading module, a multi-mode early warning pushing module, a diagnosis and treatment linkage scheduling module and a postoperative rehabilitation auxiliary module; the vascular multidimensional sensing module is used for collecting blood vessel hemodynamic parameters, blood vessel wall states and local tissue sign data of a patient after operation; The self-adaptive data calibration module is used for carrying out noise filtering, outlier correction and cross-equipment data normalization processing on the collected original data; the space-time feature mining module is used for extracting time sequence change features and space distribution features of blood vessel parameters and constructing a post-operation blood vessel state feature set; The intelligent risk classification module is used for calculating a vascular complication risk value based on the feature set, classifying risk grades and generating a classification basis; The multi-mode early warning pushing module is used for pushing accurate early warning information to medical staff and patients according to the risk level matching corresponding early warning modes; The diagnosis and treatment linkage scheduling module is used for linking the hospital diagnosis and treatment resources, automatically generating a diagnosis and treatment response scheme according to the early warning grade and pushing the diagnosis and treatment response scheme to the corresponding execution subject; And the postoperative rehabilitation auxiliary module is used for generating a personalized rehabilitation training plan for the patient and dynamically adjusting the personalized rehabilitation training plan based on the monitoring data and the risk assessment result. Preferably, the vascular multidimensional sensing module comprises an implantable miniature sensing unit, a body surface attached sensing unit and an image supplementing and collecting unit, which are cooperated to realize multidimensional data collection, wherein the implantable miniature sensing unit is embedded into a postoperative vascular anastomosis and a site easy to narrow, and blood flow velocity, blood vessel inner diameter, blood vessel wall tension and blood flow shear stress data are collected in real time; The sampli