Phase space and power spectral approaches for EEG-based automatic sleep-wake classification in humans: A comparative study using short and standard epoch lengths

Computer Methods and Programs in Biomedicine

Volumn 109, Issue 3, 2013, Pages 227-238

  Brignol, Arnaud ^b   Al ani, Tarik ^a,b   Drouot, Xavier ^c,d  

^a Universite de Versailles Saint Quentin   (France)

^b ESIEE PARIS   (France)

^c HENRI MONDOR HOSPITAL   (France)

^d FACULTÉ DE MÉDECINE   (France)

Author keywords

Automated sleep wake; Classification; Electroencephalogram; Phase space; Poincar plot

Indexed keywords

ADULT FEMALES; ALTERNATING PHASIS; AUTOMATED SLEEP-WAKE; AUTOMATIC CLASSIFICATION; BETTER PERFORMANCE; COMPARATIVE STUDIES; EEG DATUM; EEG SIGNALS; ELECTRO-ENCEPHALOGRAM (EEG); HIGH ENERGY; HIGH FREQUENCY; PHASE SPACES; POINCARE; POWER SPECTRAL; PUBLIC HEALTH ISSUES; SLEEP DISORDERS; SLEEP QUALITY; SLEEP STAGE; SPACE-BASED; SPECTRAL AMPLITUDE; SPECTRAL COMPOSITION; STATE SPACE APPROACH;

CLASSIFICATION (OF INFORMATION); ELECTROENCEPHALOGRAPHY; FREQUENCY BANDS; PHASE SPACE METHODS; WAKES;

SLEEP RESEARCH;

ADULT; ARTICLE; AUTOMATION; CLASSIFICATION ALGORITHM; CLINICAL EFFECTIVENESS; COMPARATIVE STUDY; ELECTROENCEPHALOGRAPHY; HUMAN; HUMAN EXPERIMENT; NORMAL HUMAN; POWER SPECTRUM; SLEEP WAKING CYCLE; SPECTRUM;

ADULT; ALGORITHMS; ARTIFACTS; AUTOMATION; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; LINEAR MODELS; MODELS, STATISTICAL; NORMAL DISTRIBUTION; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; ROC CURVE; SIGNAL PROCESSING, COMPUTER-ASSISTED; SLEEP; SLEEP DISORDERS; TIME FACTORS;

EID: 84874231877     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2012.10.002     Document Type: Article

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