Eeg alpha spindle measures as indicators of driver fatigue under real traffic conditions

Clinical Neurophysiology

Volumn 122, Issue 6, 2011, Pages 1168-1178

  Simon, Michael ^a,c   Schmidt, Eike A ^b,d   Kincses, Wilhelm E ^a   Fritzsche, Martin ^a   Bruns, Andreas ^a,f   Aufmuth, Claus ^a   Bogdan, Martin ^c   Rosenstiel, Wolfgang ^c   Schrauf, Michael ^a,e  

^a DAIMLER AG   (Germany)

^b HEINRICH HEINE UNIVERSITY   (Germany)

^c UNIVERSITY OF TÜBINGEN   (Germany)

^d Bundesanstalt fuer Strassenwesen   (Germany)

^e UNIVERSITY OF REGENSBURG   (Germany)

^f F HOFFMANN LA ROCHE LTD   (Switzerland)

Author keywords

Alpha rhythm; Alpha spindle; Driver monitoring; EEG; Fatigue detection

Indexed keywords

ADULT; ALGORITHM; ALPHA RHYTHM; ARTICLE; CAR DRIVING; CLINICAL EFFECTIVENESS; CONTROLLED STUDY; DRIVER; ELECTROENCEPHALOGRAPHY; FATIGUE; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; NERVOUS SYSTEM PARAMETERS; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; TRAFFIC;

ADULT; ALPHA RHYTHM; AUTOMOBILE DRIVING; ELECTROENCEPHALOGRAPHY; FATIGUE; FEMALE; HUMANS; MALE; MULTIVARIATE ANALYSIS; REALITY TESTING; ROC CURVE; SPECTRUM ANALYSIS; USER-COMPUTER INTERFACE; YOUNG ADULT;

EID: 79956344170     PISSN: 13882457     EISSN: 18728952     Source Type: Journal    
DOI: 10.1016/j.clinph.2010.10.044     Document Type: Article

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