Classification of sleep apnea through sub-band energy of abdominal effort signal using wavelets + neural networks

Journal of Medical Systems

Volumn 34, Issue 6, 2010, Pages 1111-1119

  Tagluk, M Emin ^a   Sezgin, Necmettin ^b  

^a INONU UNIVERSITY   (Turkey)

^b NONE

Author keywords

Abdominal effort signal; Artificial neural networks; Discrete wavelet transform; SAS; Sub band energy

Indexed keywords

ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; CENTRAL SLEEP APNEA SYNDROME; CIRCADIAN RHYTHM; CLINICAL ARTICLE; DISEASE CLASSIFICATION; ENERGY; FEMALE; HUMAN; MALE; PERFORMANCE MEASUREMENT SYSTEM; POLYSOMNOGRAPHY; SIGNAL PROCESSING; SLEEP APNEA SYNDROME;

ABDOMEN; ADULT; AGED; ALGORITHMS; FEMALE; HUMANS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); SLEEP APNEA SYNDROMES; WAVELET ANALYSIS; YOUNG ADULT;

EID: 78649326656     PISSN: 01485598     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10916-009-9330-5     Document Type: Article

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