DocumentCode :
2635481
Title :
Methods for classification of phonocardiogram
Author :
Amarnath, R.
Volume :
4
fYear :
2003
fDate :
15-17 Oct. 2003
Firstpage :
1514
Abstract :
The emergence of cardiac surgery and with it an imperative need for precise anatomical diagnosis have revived the technical advancement necessary for the amplification and recording of cardiovascular sounds. The study of phonocardiography has developed out of this confidence. The recordings of the sounds, produced by the mechanical activity of the human heart that contains vital information are called phonocardiogram and the device used to record is called phonocardiograph. The objective of this work is to find an efficient method to diagnose the heart diseases from their heart sounds. We have implemented various methods including neural network, fuzzy system and wavelets to recognize the heart diseases and their efficiencies were compared with each other.
Keywords :
acoustic signal processing; acoustic wave amplification; audio equipment; cardiology; fuzzy systems; medical signal processing; neural nets; patient diagnosis; anatomical diagnosis; cardiac surgery; cardiovascular sound amplification; cardiovascular sound recording; fuzzy system; heart disease diagnosis; human heart; neural network; phonocardiogram classification; wavelets; Band pass filters; Cardiac disease; Cardiology; Cardiovascular diseases; Frequency; Fuzzy systems; Heart; Humans; Neural networks; Surgery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2003. Conference on Convergent Technologies for the Asia-Pacific Region
Print_ISBN :
0-7803-8162-9
Type :
conf
DOI :
10.1109/TENCON.2003.1273172
Filename :
1273172
Link To Document :
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