Feature selection for sleep/wake stages classification using data driven methods

Biomedical Signal Processing and Control

Volumn 2, Issue 3, 2007, Pages 171-179

  Zoubek, Lukáš ^a,b   Charbonnier, Sylvie ^b   Lesecq, Suzanne ^b   Buguet, Alain ^e   Chapotot, Florian ^c,d  

^a VSB TECHNICAL UNIVERSITY OF OSTRAVA   (Czech Republic)

^b GIPSA LAB   (France)

^c UNIVERSITY OF CHICAGO   (United States)

^d PhiTools   (France)

^e UNIVERSITÉ LYON 1   (France)

Author keywords

Decision making; Diagnosis; Medical applications; Pattern recognition; Signal processing

Indexed keywords

ELECTROENCEPHALOGRAPHY; ELECTROMYOGRAPHY; FREQUENCY BANDS; MEDICAL APPLICATIONS; PATTERN RECOGNITION; SIGNAL PROCESSING; SLEEP RESEARCH;

ELECTRO-OCULOGRAM (EOG); EXPERT CLASSIFICATION; MULTIPLE ITERATIVE FEATURE SELECTION;

FEATURE EXTRACTION;

ACCURACY; ADULT; ARTICLE; CLASSIFICATION ALGORITHM; ELECTROENCEPHALOGRAPHY; ELECTROMYOGRAPHY; ELECTROOCULOGRAPHY; FEMALE; HUMAN; HUMAN EXPERIMENT; MALE; MATHEMATICAL ANALYSIS; NIGHT SLEEP; NONREM SLEEP; NORMAL HUMAN; PATTERN RECOGNITION; PHASE TRANSITION; POLYSOMNOGRAPHY; PRIORITY JOURNAL; SIGNAL PROCESSING; SLEEP STAGE; SLEEP WAKING CYCLE; TIME; VOLUNTEER; WAKEFULNESS;

EID: 35348813692     PISSN: 17468094     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.bspc.2007.05.005     Document Type: Article

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