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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/dspace/handle/123456789/7369

Title: Classification of heart valve diseases using correlation analysis
Authors: Mohd Zubir, Suboh
Mohd Yusoff, Mashor
Abdul Rahman, Mohd Saad
M.S., Mohamed
???metadata.dc.contributor.url???: yusoff@unimap.edu.my
Keywords: Classification;Correlation analysis;Frequency domain analysis;Heart sound;Acoustic signal processing;Signal classification;Cardiology
Issue Date: 12-Nov-2008
Publisher: Institute of Electrical and Electronics Engineering (IEEE)
Citation: p.173-176
Series/Report no.: Proceedings of the 5th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE 2008)
Abstract: As a subjective and qualitative method, heart sound auscultation has it's inherit limitations. In this paper, we present an analytical perspective on heart sound auscultation and explain how to classify heart diseases using correlation analysis which is done in frequency domain. Abnormal heart sounds taken from a heart sound simulator is being cross correlated with normal heart sound to get different pattern of graph plot for each abnormality. Seven different heart valve diseases were classified with the aid of artificial neural network system. All tested data was classified correctly to their classes. It is conclude that this study is a simple and effective way to classify heart valve disorder based on heart sounds.
Description: Link to publisher's homepage at http://ieeexplore.ieee.org
URI: http://ieeexplore.ieee.org/xpls/abs_all.jsp?=&arnumber=4723402
http://hdl.handle.net/123456789/7369
ISBN: 978-1-4244-2498-6
Appears in Collections:Conference Papers
Mohd Yusoff Mashor, Prof. Dr.

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