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CN-122000013-A - Multi-parameter fusion-based anesthesia equipment running state self-adaptive control system

CN122000013ACN 122000013 ACN122000013 ACN 122000013ACN-122000013-A

Abstract

The invention provides an anesthesia equipment running state self-adaptive control system based on multi-parameter fusion, which comprises a multi-source data acquisition module, a credibility evaluation module, an anesthesia reaction hysteresis spectrum modeling module, a state construction module, a control decision module and an execution interface module. The system collects and processes multisource physiological data and operation event parameters in a unified mode in the operation process, evaluates reliability of different parameters, builds unified control state quantity through modeling of dynamic relation between drug administration input and physiological response, generates equipment control instructions according to the unified control state quantity, and achieves self-adaptive adjustment of the operation state of the anesthesia equipment. The system is beneficial to improving the control stability and the operation reliability of the anesthesia equipment under the complex operation condition.

Inventors

  • Kan Jiwei
  • WANG HONG
  • CAI MENG

Assignees

  • 天津康汇医院有限公司

Dates

Publication Date
20260508
Application Date
20260127

Claims (10)

  1. 1. An anesthesia equipment running state self-adaptive control system based on multiparameter fusion, which is characterized by comprising: The system comprises a multi-source data acquisition module, a credibility evaluation module, an anesthesia reaction hysteresis spectrum modeling module, a state construction module, a control decision module and an execution interface module; the multi-source data acquisition module is used for acquiring and outputting multi-source physiological data and operation event parameters; the credibility evaluation module is used for carrying out reliability evaluation on the multi-source physiological data and outputting a parameter credibility coefficient; The anesthesia reaction hysteresis spectrum modeling module is used for constructing and updating an anesthesia reaction hysteresis spectrum model for representing the time sequence relation between the drug administration input and the physiological response based on the multi-source physiological data; the state construction module is used for constructing a control state quantity for control decision based on the multi-source physiological data, the operation event parameters and the anesthesia reaction hysteresis spectrum model; The control decision module is used for generating equipment control instructions based on the control state quantity; The execution interface module is used for outputting the equipment control instruction to the administration execution device.
  2. 2. The system of claim 1, wherein the multi-source data acquisition module comprises a brain function parameter acquisition unit, a hemodynamic parameter acquisition unit, an analgesia-related parameter acquisition unit, and a surgical event parameter acquisition unit; The multi-source data acquisition module marks the data from different acquisition units with uniform time stamps and combines the data according to a preset control period to form a data frame for subsequent processing.
  3. 3. The system of claim 1, wherein the credibility assessment module comprises a parameter feature analysis unit and a credibility calculation unit, the parameter feature analysis unit to analyze data continuity features and variation features of multi-source physiological data; The credibility calculation unit generates a parameter credibility coefficient based on the analysis result, and outputs the parameter credibility coefficient to the control decision module for limiting a control structure or a data channel adopted in the control decision process.
  4. 4. The system of claim 1, wherein the anesthesia response hysteresis spectrum model is stored in the form of a set of parameters, The parameter set at least comprises a hysteresis parameter and a pharmacodynamic gain parameter of the sedation channel and a hysteresis parameter and a pharmacodynamic gain parameter of the analgesia channel, The parameters are used to characterize the time-series and intensity characteristics of the change in drug administration input to the physiological response under different drug administration channels.
  5. 5. The system of claim 4, wherein the anesthesia response hysteresis spectrum modeling module comprises a data window management unit, a response feature extraction unit, and a model parameter update unit; the response characteristic extraction unit is used for extracting the occurrence time of the drug administration input change and the corresponding physiological response change time; the model parameter updating unit initializes or recursively updates the hysteresis parameter based on a time difference therebetween.
  6. 6. The system according to claim 4, wherein the model parameter updating unit updates the pharmacodynamic gain parameter based on a ratio between a dose input variation and a physiological response amplitude variation, wherein the pharmacodynamic gain parameter is used to characterize a physiological response intensity variation caused by a unit dose input variation.
  7. 7. The system of claim 1, wherein the state construction module includes a stimulation field quantity construction unit that constructs a stimulation field quantity based on the surgical event parameters and the rate of change of the hemodynamic parameters, the stimulation field quantity being represented in a continuous numerical form for reflecting the integrated intensity of the external stimulation input over the current control period as one of the components of the control state quantity construction.
  8. 8. The system of claim 1, wherein the state building module includes a suppression field quantity building unit that builds a suppression field quantity based on the hysteresis parameter, the pharmacodynamic gain parameter, and the dosing input, the suppression field quantity being used to characterize the suppression of the control state by the dosing input under the hysteresis model as one of the components of the control state quantity building.
  9. 9. The system according to claim 7 or 8, wherein the state construction module comprises a balance deviation calculation unit for calculating a difference between the stimulation field amount and the suppression field amount and outputting the difference as a control state amount to the control decision module.
  10. 10. The system of claim 1, wherein the control decision module introduces safety constraints when generating the device control instructions, the safety constraints including at least a hemodynamic-related threshold constraint and a drug administration rate of change constraint to ensure that the device control instructions meet system operational safety requirements during execution.

Description

Multi-parameter fusion-based anesthesia equipment running state self-adaptive control system Technical Field The invention relates to the technical field of medical equipment control, in particular to an anesthesia equipment running state self-adaptive control system based on multi-parameter fusion. Background The anesthesia device plays an important role in regulating and controlling the administration process of sedative drugs and analgesic drugs in the operation process, and the running state of the anesthesia device needs to be dynamically matched with the physiological state change of a patient so as to ensure the running stability and safety of the device. Because the anesthesia process involves a plurality of factors such as brain function state, hemodynamic state and external operation stimulation, the control process of the anesthesia equipment essentially belongs to the dynamic control problem under the multiparameter coupling condition, and high requirements are put on the response capability and the adaptability of the control system. The control mode of the existing anesthesia equipment is mostly adjusted based on single or few physiological parameters, part of schemes are used for controlling the drug administration process through preset thresholds or experience rules, and multiple parameters are introduced as reference input. However, in practical applications, there are significant differences in stability, sampling reliability, and response timing between different physiological parameters, and there is a common time lag between administration input and physiological response. The above factors make the existing control mode easily have problems of adjustment lag, control overshoot or unstable control when facing individual difference, operation stimulation change and data fluctuation, and stable and continuous control is difficult to realize under complex running conditions. Therefore, the prior art still has the problem that in the control process of anesthesia equipment, a control mechanism capable of uniformly characterizing and effectively regulating the running state of the equipment under the conditions of coexistence of multi-source physiological information, inconsistent data reliability and dynamic hysteresis of drug administration response is lacking, so that the control stability and the adaptability are difficult to be simultaneously considered. Disclosure of Invention In view of the above, there is a need for improving the reliability, response delay characteristics, and control state construction of multi-source information from the anesthesia apparatus control system layer. In order to solve the problems in the prior art, an embodiment of the present invention provides an adaptive control system for an operation state of an anesthesia apparatus based on multi-parameter fusion, including: The system comprises a multi-source data acquisition module, a credibility evaluation module, an anesthesia reaction hysteresis spectrum modeling module, a state construction module, a control decision module and an execution interface module; the multi-source data acquisition module is used for acquiring and outputting multi-source physiological data and operation event parameters; the credibility evaluation module is used for carrying out reliability evaluation on the multi-source physiological data and outputting a parameter credibility coefficient; The anesthesia reaction hysteresis spectrum modeling module is used for constructing and updating an anesthesia reaction hysteresis spectrum model for representing the time sequence relation between the drug administration input and the physiological response based on the multi-source physiological data; the state construction module is used for constructing a control state quantity for control decision based on the multi-source physiological data, the operation event parameters and the anesthesia reaction hysteresis spectrum model; The control decision module is used for generating equipment control instructions based on the control state quantity; The execution interface module is used for outputting the equipment control instruction to the administration execution device. Further, the multi-source data acquisition module comprises a brain function parameter acquisition unit, a hemodynamic parameter acquisition unit, an analgesia related parameter acquisition unit and a surgical event parameter acquisition unit; The multi-source data acquisition module marks the data from different acquisition units with uniform time stamps and combines the data according to a preset control period to form a data frame for subsequent processing. Further, the credibility evaluation module comprises a parameter characteristic analysis unit and a credibility calculation unit, The parameter characteristic analysis unit is used for analyzing the data continuity characteristic and the change characteristic of the multi-source physiological data; The credibility c