Anesthesia status monitoring system based on portable EEG acquisition equipment and deep learning

Abstract

An anesthesia state monitoring system based on a portable EEG acquisition device and deep learning, characterized in that it includes a portable EEG acquisition device, a data processing and analysis module, and a display module; the portable EEG acquisition device is used to collect the patient's anesthesia process The EEG signal in the EEG signal is filtered and amplified, and transmitted to the data processing and analysis module; the data processing and analysis module processes and analyzes the received EEG signal; the display module is a display, used Real-time display of the patient's anesthesia status. The portable EEG acquisition device used in the present invention has the advantages of low production cost, open interface, and small size, and can collect EEG signals conveniently and efficiently; the present invention can monitor the anesthesia state more accurately; it is suitable for the brain of different patients. Electrical signal analysis; based on EEG signals, it is more intuitive and convenient to monitor the anesthesia state of patients, which has important guiding significance for surgery and medical treatment.

Description

Anesthesia state monitoring system based on portable EEG acquisition equipment and deep learning technical field [0001] The present invention relates to a patient anesthesia state monitoring system. In particular, it relates to a portable EEG-based acquisition device Anesthesia state monitoring system with equipment and deep learning. Background technique As an indispensable important link in the modern clinical operation process, the accurate judgment of anesthesia state is always a challenge. The same dose of anesthesia has different effects on different people, so anesthesia has a higher risk. A successful anesthesia procedure can be considered as a patient without intraoperative awareness and without painful stimuli. but complete success The anesthesia process is difficult to achieve, and when the anesthesia is too shallow, the patient may feel the pain or pressure of the operation, which will affect the patient's physiology and heart. severe brain damage, ...

AI Technical Summary

Problems solved by technology

However, it is difficult to achieve a successful anesthesia process in a complete sense. When the anesthesia is too shallow, the patient may feel the pain or pressure of the operation, which will have a serious impact on the patient's physiology and psychology; Injury, paralysis or spinal cord injury and serious intraoperative complications lead to increased postoperative recovery time and even increased postoperative mortality

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