Patent ID: 6496724
Filing Date: 2002-12-17
Classification: A61B,G16H,Y10S

Abstract:
A method for determining a system for classifying electroencephalogram (EEG) data acquired from a person along at least a portion of an alertness-drowsiness continuum for monitoring levels of alertness of the person, comprising the steps of:selecting at least one input class of states of alertness representative of at least a portion of an alertness-drowsiness continuum; acquiring EEG signals at a sampling rate of up to 256 samples per second from a plurality of subjects during said at least one input class of states of alertness to provide EEG signal data; selecting a baseline subset of EEG signal data from said EEG signal data representative of said at least one input class of states of alertness of said plurality of subjects; determining at least one predictive variable for determining said at least one input class of states of alertness based upon said baseline subset of EEG signal data; and determining a discriminant function based upon said at least one predictive variable for assigning the EEG data acquired from a person to at least one output class representing at least a portion of the alertness-drowsiness continuum.