EEG quantification of alertness: Methods for early identification of individuals most susceptible to sleep deprivation

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5797, Issue , 2005, Pages 78-89

  Berka, Chris ^a   Levendowski, Daniel J ^a   Westbrook, Philip ^a   Davis, Gene ^a   Lumicao, Michelle N ^a   Olmstead, Richard E ^b   Popovic, Miodrag ^c   Zivkovic, Vladimir T ^a   Ramsey, Caitlin K ^a  

^a ADVANCED BRAIN MONITORING INC   (United States)

^b VA GREATER LOS ANGELES HEALTHCARE SYSTEM   (United States)

^c School of Electrical Engineering   (Serbia)

Author keywords

Alertness; Drowsiness; EEG; Fatigue; Individual differences; Real time monitoring; Sleep debt; Sleep deprivation; Vigilance performance

Indexed keywords

APPROXIMATION THEORY; COGNITIVE SYSTEMS; FATIGUE OF MATERIALS; IDENTIFICATION (CONTROL SYSTEMS); NEUROLOGY; REAL TIME SYSTEMS; STORAGE ALLOCATION (COMPUTER);

ALERTNESS; DROWSINESS; INDIVIDUAL DIFFERENCES; REAL-TIME MONITORING; SLEEP DEBT; SLEEP DEPRIVIATION; VIGILANCE PERFORMANCE;

ELECTROENCEPHALOGRAPHY;

EID: 27544501257     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.597503     Document Type: Conference Paper

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