Data mining techniques for detection of sleep arousals

Journal of Neuroscience Methods

Volumn 179, Issue 2, 2009, Pages 331-337

  Shmiel, Oren ^a   Shmiel, Tomer ^a   Dagan, Yaron ^b,c   Teicher, Mina ^a  

^a BAR ILAN UNIVERSITY   (Israel)

^b ASSUTA MEDICAL CENTER   (Israel)

^c TEL AVIV UNIVERSITY   (Israel)

Author keywords

Algorithm; Arousals; Automatic detection; Clustering; Data mining; Sleep

Indexed keywords

ALGORITHM; AROUSAL; ARTICLE; AUTOANALYSIS; CLINICAL ARTICLE; DATA MINING; DAYTIME SOMNOLENCE; ELECTROENCEPHALOGRAM; HUMAN; PRIORITY JOURNAL; SLEEP; SLEEP WAKING CYCLE;

ADULT; ALGORITHMS; AROUSAL; AUTOMATIC DATA PROCESSING; BRAIN; ELECTROENCEPHALOGRAPHY; ELECTROMYOGRAPHY; HUMANS; PREDICTIVE VALUE OF TESTS; RESPIRATORY PHYSIOLOGICAL PHENOMENA; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SLEEP; SLEEP AROUSAL DISORDERS; SOFTWARE;

EID: 63049127392     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2009.01.035     Document Type: Article

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