Anesthesia state monitoring system based on portable electroencephalogram acquisition device and deep learning

Abstract

The present invention discloses an anesthesia state monitoring system based on a portable electroencephalogram acquisition device and deep learning. The anesthesia state monitoring system is characterized by comprising a portable electroencephalogram acquisition device, a data processing and analysis module and a display module; the portable electroencephalogram acquisition device is used to acquire electroencephalogram signals during an anesthesia process of a patient, also perform filter and amplification operations, and then transmit the treated electroencephalogram signals to the data processing and analysis module; the data processing and analysis module processes and analyzes the received electroencephalogram signals; and the display module is a display and is used to display anesthesia states of the patient in real time. The used portable electroencephalogram acquisition device has advantages of low production cost, open interfaces, and small size, can collect the electroencephalogram signals conveniently and efficiently, can realize monitoring of the anesthesia states more accurately, is suitable for electroencephalogram signal analysis of different patients and more intuitive and convenient for monitoring the anesthesia states of the patients based on the electroencephalogram signals, and has important guiding significance for surgical treatments.

Description

technical field [0001] The invention relates to a patient anesthesia state monitoring system. In particular, it relates to an anesthesia state monitoring system based on portable EEG acquisition equipment and deep learning. Background technique [0002] As an essential part of modern clinical surgery, accurate judgment of anesthesia status is always a challenge. The same dose of anesthesia has different effects on different people, so anesthesia has a higher risk. A successful anesthesia process can be considered to be that the patient has no intraoperative consciousness and no painful stimulus response. 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 severe intraoperative complications lead to increased postoperative ...

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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