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Method for the quantification of human alertness

  • US 6,496,724 B1
  • Filed: 06/30/1999
  • Issued: 12/17/2002
  • Est. Priority Date: 12/31/1998
  • Status: Expired due to Term
First Claim
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1. 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.

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