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An adaptive singular spectrum analysis approach to murmur detection from heart sounds.
MedLine Citation:
PMID:  21112805     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Murmur is the result of various heart abnormalities. A new robust approach for separation of murmur from heart sound has been suggested in this article. Singular spectrum analysis (SSA) has been adapted to the changes in the statistical properties of the data and effectively used for detection of murmur from single-channel heart sound (HS) signals. Incorporating a cleverly selected a priori within the SSA reconstruction process, results in an accurate separation of normal HS from the murmur segment. Another contribution of this work is selection of the correct subspace of the desired signal component automatically. In addition, the subspace size can be identified iteratively. A number of HS signals with murmur have been processed using the proposed adaptive SSA (ASSA) technique and the results have been quantified both objectively and subjectively.
Authors:
Saeid Sanei; Mansoureh Ghodsi; Hossein Hassani
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Publication Detail:
Type:  Journal Article     Date:  2010-11-27
Journal Detail:
Title:  Medical engineering & physics     Volume:  33     ISSN:  1873-4030     ISO Abbreviation:  Med Eng Phys     Publication Date:  2011 Apr 
Date Detail:
Created Date:  2011-03-08     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9422753     Medline TA:  Med Eng Phys     Country:  England    
Other Details:
Languages:  eng     Pagination:  362-7     Citation Subset:  IM    
Copyright Information:
Copyright © 2010 IPEM. Published by Elsevier Ltd. All rights reserved.
Affiliation:
School of Engineering and Physical Sciences, University of Surrey, Guildford, UK.
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