Depth of Anesthesia Monitoring Method Based on EEG Microstate Analysis and Hidden Markov Model

2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning (PRML)（2021）

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摘要

Electroencephalogram (EEG) microstate analysis is an important emerging method that can classify continuous multichannel EEG signals into a limited number of microstates through clustering. Microstate analysis combines the time and space information of EEG, which can reflect important transformation process of high-level cognitive functions in the brain. In recent years, Microstate analysis has ma...

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关键词

Training,Hidden Markov models,Machine learning,Tools,Markov processes,Anesthesia,Electroencephalography

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