DocumentCode
3078355
Title
Heart sound analysis using neural and statistical classifiers: a comparison
Author
Bothe, Alexander
fYear
1989
fDate
19-22 Sep 1989
Firstpage
415
Lastpage
418
Abstract
The results of a classical pattern recognition approach to heart sound analysis are compared with those of a trained neural network classifier. Noise not correlated with the specific heart operation is reduced by use of adaptive digital online filtering. The results, indicating the advantages of learning neural classifiers, are regarded as being transferable to other applications
Keywords
bioacoustics; cardiology; computerised signal processing; medical diagnostic computing; neural nets; adaptive digital online filtering; classical pattern recognition approach; heart sound analysis; noise; specific heart operation; statistical classifier; trained neural network classifier; Acoustic noise; Adaptive filters; Cardiac disease; Frequency domain analysis; Heart beat; Noise reduction; Pattern recognition; Power generation; Pulse measurements; Stethoscope;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Cardiology 1989, Proceedings.
Conference_Location
Jerusalem
Print_ISBN
0-8186-2114-1
Type
conf
DOI
10.1109/CIC.1989.130582
Filename
130582
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