Document Detail


Noninvasive detection of mechanical prosthetic heart valve disorder.
MedLine Citation:
PMID:  22770746     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Auscultation is a widely used efficient technique by cardiologists for detecting the heart conditions. Since the mechanical prosthetic heart valves are widely used today, it is important to develop a simple and efficient method to detect abnormal mechanical valves. In this paper, the mechanical prosthetic heart valve sounds are analyzed by using different power spectral density (PSD) estimation techniques. To improve the classification accuracy of heart sounds, we propose two different feature extraction schemes, i.e., a modified local discriminant bases (LDB) scheme and a Hilbert-Huang Transform (HHT)-based scheme. A database of 150 heart sounds is used in this study and an average classification accuracy of 97.3% is achieved for both the two feature extraction schemes, when a generic linear discriminant analysis (LDA) classifier is used in the classification stage.
Authors:
Di Zhang; Jiazhong He; Jianping Yao; Yuequan Wu; Minghui Du
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-7-6
Journal Detail:
Title:  Computers in biology and medicine     Volume:  -     ISSN:  1879-0534     ISO Abbreviation:  -     Publication Date:  2012 Jul 
Date Detail:
Created Date:  2012-7-9     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  1250250     Medline TA:  Comput Biol Med     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012 Elsevier Ltd. All rights reserved.
Affiliation:
School of Information Engineering, Guangdong Medical College, Dongguan, China; School of Electronics and Information, South China University of Technology, Guangzhou, China.
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