Original paper
Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients
Abstract
Electrophysiological recordings are considered a reliable method of assessing a person's alertness. Sleep medicine is asked to offer objective methods to measure daytime alertness, tiredness and sleepiness. As EEG signals are non-stationary, the conventional method of frequency analysis is not highly successful in recognition of alertness level. This paper deals with a novel method of analysis of EEG signals using wavelet transform, and...
Paper Details
Title
Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients
Published Date
May 1, 2005
Volume
28
Issue
4
Pages
701 - 711
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