Consecutive detection of extreme central fatigue

IFMBE Proceedings

Volumn 22, Issue , 2008, Pages 243-246

  Sommer, David ^a   Golz, Martin ^a,c   Krajewski, J ^b  

^a University of Applied Sciences Schmalkalden   (Germany)

^b UNIVERSITY OF WUPPERTAL   (Germany)

^c Institute for System Analysis and Applied Numerics   (Germany)

Author keywords

EEG; EOG; Fatigue; Microsleep; Support Vector Machines

Indexed keywords

AUTOMATIC DETECTION; BIOSIGNALS; CENTRAL FATIGUE; COMPUTATIONAL INTELLIGENCE METHODS; EEG; EOG; FATIGUE; FATIGUE MONITORING; METHODOLOGICAL PROBLEMS; MICRO-SLEEP EVENTS; MICROSLEEP; NARROW BANDS; OBJECTIVE MEASURE; PARAMETERIZED; SIGNAL FEATURES; SLEEP DEPRIVATION; SPECTRAL POWER DENSITY;

ARTIFICIAL INTELLIGENCE;

DETECTORS;

EID: 70350650372     PISSN: 16800737     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-89208-3_60     Document Type: Conference Paper

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