Real-Time EEG-Based Anaesthesia Monitoring Using Neural Networks on Edge-AI Hardware

Background

Monitoring unconsciousness under general anaesthesia typically relies on indirect physiological indicators rather than direct measures of brain activity. This study investigates a compact, real-time electroencephalography (EEG)-based monitoring system that combines machine learning (ML) and edge artificial intelligence (Edge-AI) for assessing anaesthesia-induced unconsciousness.