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Murmur extraction based on CHD heart sound segmenting
Miao, Sheng1; Dong L(董亮)1,2; Wang, Weilian1; Yao, Shaowen1
Source PublicationWIT Transactions on Biomedicine and Health
Contribution Rank第2完成单位
Indexed ByEI
Conference Name2014 International Conference on Medical Engineering and Bioinformatics, MEB 2014
Conference Date2014-04-07
Conference PlaceWuhan, China
Conference SponsorInformation Technology and Industrial Engineering Research Center

Murmur detection is hot point of heart sound (HS) processing, and it’s also the important approach to diagnose congenital heart disease (CHD). In order to segmenting murmur from heart sound, a new method has been proposed. This method using template matching algorithm to segment HS and identify the first HS(S1) and the second HS (S2), then the murmur between them can be extracted. 46 cases of complex CHD heart sound were used in this experiment to evaluate the method. The results showed that accuracy of identification is over 91%.

Funding ProjectN/A
Funding OrganizationN/A
Subject Area信息科学与系统科学 ; 电子、通信与自动控制技术 ; 计算机科学技术
MOST Discipline Catalogue工学 ; 工学::电子科学与技术(可授工学、理学学位) ; 工学::信息与通信工程 ; 工学::计算机科学与技术(可授工学、理学学位)
EI Accession Number20144200113747
EI KeywordsCardiology
EI Classification Number461bioengineering And Biology - 723computer Software, Data hAndling And Applications - 903information Science
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Document Type会议论文
Corresponding AuthorMiao, Sheng
Affiliation1.School of Information Science and Technology of Yunnan University, Kunming, China
2.Yunnan observatory of Chinese academy of science, Kunming, China
Recommended Citation
GB/T 7714
Miao, Sheng,Dong L,Wang, Weilian,et al. Murmur extraction based on CHD heart sound segmenting[C]:WITPress,2014:547-552.
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