Backpropagation artificial neural network detects changes in electro-encephalogram power spectra of syncopic patients

Journal of Medical Systems

Volumn 31, Issue 1, 2007, Pages 63-68

  Sinha, Rakesh Kumar ^a   Aggarwal, Yogender ^a   Das, Barda Nand ^a  

^a BIRLA INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Artificial neural network; EEG; Pattern classification; Syncope

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; ELECTROENCEPHALOGRAM; HUMAN; POWER SPECTRUM; SYNCOPE;

ARTIFICIAL INTELLIGENCE; BRAIN; CASE-CONTROL STUDIES; DISCRIMINANT ANALYSIS; ELECTROENCEPHALOGRAPHY; FEEDBACK; HUMANS; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED; SYNCOPE; TELENCEPHALON;

EID: 33846014309     PISSN: 01485598     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10916-006-9043-y     Document Type: Article

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