Classifying coronary dysfunction using neural networks through cardiovascular auscultation

Medical and Biological Engineering and Computing

Volumn 40, Issue 3, 2002, Pages 339-343

  Folland, R ^a   Hines, E L ^a   Boilot, P ^a   Morgan, D ^b  

^a UNIVERSITY OF WARWICK   (United Kingdom)

^b BIRMINGHAM HEARTLANDS HOSPITAL   (United Kingdom)

Author keywords

Cardiac auscultation; Cardiac dysfunction; Levinson Durbin autoregression; Multi layer perceptron; Radial basis function network

Indexed keywords

DATA PROCESSING; FAST FOURIER TRANSFORMS; FEATURE EXTRACTION; RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS;

CORONARY DYSFUNCTION;

CARDIOVASCULAR SYSTEM;

ACCURACY; ADULT; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CARDIOVASCULAR PROCEDURES; CONTROLLED STUDY; DATA ANALYSIS; FOURIER TRANSFORMATION; HEART AUSCULTATION; HEART DISEASE; HEART SOUND; HUMAN; INFORMATION PROCESSING;

EID: 0036053481     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02344217     Document Type: Article

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