A multi-parameter closed-loop monitoring system for intravenous anesthesia

Abstract

The invention discloses an intravenous anesthesia multi-parameter-index closed-loop monitoring system. The intravenous anesthesia multi-parameter-index closed-loop monitoring system comprises a parameter signal collecting module, a control mainframe module and an injection device module and is characterized in that the parameter signal colleting module is connected with the control mainframe module and used for collecting the original EEG signal, NIRS signal and EMG signal of a human body, converting the signals into parameter indexes capable of monitoring sedative depth, analgesia depth and muscular relaxation degree and transmitting the parameter indexes to the control mainframe module; the control mainframe module is used for performing parameter identification, model predicting and controller feedback calculation to obtain the real-time medicine quantity and injection rate needed by the human body and providing real-time monitoring indexes, the control end of the control mainframemodule is connected with the injection device module, and the injection device module acquires the medicine quantity and injection rate from the control mainframe module and performs injection on thehuman body in real time. By the intravenous anesthesia multi-parameter-index closed-loop monitoring system which is high in instantaneity, high in precision and the like, the parameter uncertainty ofa traditional system is solved.

Description

technical field [0001] The invention relates to the field of anesthesia control, in particular to a multi-parameter index closed-loop monitoring system for intravenous anesthesia. Background technique [0002] According to statistics, there are about 90 million people / times of general anesthesia operations in my country every year, and it is estimated that by 2018, the number of operations will reach 155 million people / times. In some clinically important operations, such as cardiac surgery, neurosurgery and the monitoring of brain trauma patients, careful anesthesia administration is required to ensure the safety of patients during and after the operation. These put forward higher requirements for individualized and fine-grained control of anesthesia medication. [0003] It is well known that three indicators can be used for intraoperative anesthesia depth monitoring, namely sedation, analgesia, and muscle relaxation. For clinical anesthesia, the monitoring research on sed...

AI Technical Summary

Problems solved by technology

At the same time, there is synergy between sedative drugs (such as propofol) and analgesic drugs (such as remifentanil), which can lead to errors in the estimation of fixed PKPD models

[0004] Although there are many studies on anesthesia monitoring and closed-loop control, most of the existing systems only consider a single index of sedation or analgesia, and do not consider the synergy between analgesic and sedative drugs

Therefore, there is currently no anesthesia monitoring system that can simultaneously provide multi-parameter indicators such as sedation and analgesia during anesthesia.

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