Intelligent method and system for monitoring elderly anesthesia target control based on electroencephalogram signals

Abstract

The invention provides an intelligent method and system for monitoring elderly anesthesia target control based on electroencephalogram signals, and the method comprises the steps: obtaining the injected anesthetic dosage of a target elderly at different target time points, and collecting the electroencephalogram signals of the target elderly at different target time points in real time; determining a consciousness index and an injury index of the target old person under different anesthetic dosages based on the electroencephalogram signal, and determining an initial anesthesia loss perception critical point and a deep and shallow sedation critical point of the target old person based on the consciousness index and the injury index; and determining physiological parameters of the target old person at the critical point, and performing integrated recording on the critical point, the dosage of the anesthetic corresponding to the critical point and the physiological parameters. By determining the consciousness activity intensity of the old people under different doses of anesthetics, the critical points of deep sedation and shallow sedation of the old people can be conveniently and accurately found, so that the anesthetic dosage can be conveniently adjusted to enable a patient to be in a good anesthetic state, the anesthetic efficiency is improved, the anesthetic level is enhanced, and the harm of the anesthetics to the patient is reduced.

Description

technical field [0001] The invention relates to the technical field of medical research, in particular to an intelligent method and system for monitoring elderly anesthesia targets based on electroencephalogram signals. Background technique [0002] At present, anesthesia has become an indispensable step in the operation process. Anesthesia can not only prevent patients from knowing during the operation, but also improve the efficiency of the operation; [0003] However, most of the current clinical medicine estimates the amount of anesthetics needed by patients based on the experience of medical staff, and the current anesthesia state of the patient cannot be known in real time during the injection process, which may easily lead to more or less anesthetics, thus The effect of anesthesia is greatly discounted, and the patient's anesthesia state cannot be adjusted to the best anesthesia state in time according to the surgical needs; [0004] Therefore, the present invention ...

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Problems solved by technology

[0003] However, most of the current clinical medicine estimates the amount of anesthetics needed by patients based on the experience of medical staff, and the current anesthesia state of the patient cannot be known in real time during the injection process, which may easily lead to more or less anesthetics, thus The effect of anesthesia is greatly discounted, and the patient's anesthesia state cannot be adjusted to the best anesthesia state in time according to the surgical needs;

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