Document Detail

First heart sound detection for phonocardiogram segmentation.
MedLine Citation:
PMID:  17281503     Owner:  NLM     Status:  PubMed-not-MEDLINE    
This paper presents an algorithm for accurate and improved detection of the first heart sound S<inf>1</inf>for heart sound cardiac cycle segmentation under noisy environments. The proposed algorithm integrates an S<inf>1</inf>/S<inf>2</inf>selection step and an S<inf>1</inf>identification step. An adaptive sub-level tracking algorithm based on wavelet transform is proposed to separate the S<inf>1</inf>and S<inf>2</inf>from other components such as murmurs and noises. This is followed by a detection procedure based on Shannon energy to reject the overlapping interference so that the peaks of S<inf>1</inf>and S<inf>2</inf>can be detected. Criteria of time interval, energy and phonocardiogram (PCG) collecting position are used to identify S<inf>1</inf>with respect to the beginning of each cardiac cycle. Experimental results show that the proposed algorithm leads to an efficient segmentation of PCG cycle. Due to its simplicity and fast implementation, the method can be deployed clinically for further analysis and eventual use.
P Wang; Y Kim; L Ling; C Soh
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference     Volume:  5     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2005  
Date Detail:
Created Date:  2007-02-06     Completed Date:  2012-10-02     Revised Date:  2014-08-21    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  5519-22     Citation Subset:  -    
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