Heart Sound Segmentation toward Automated Heart Murmur Classification in Pediatric Patents

Sukryool Kang, Robin Doroshow, James McConnaughey, Ahsan Khandoker, Raj Shekhar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

A computerized heart murmur classification requires localization of two primary heart sounds, S1 and S2. In this paper, we propose an automatic segmentation method for pediatric heart sounds. After identifying S1 and S2 candidates from the envelope signal, we identify the best S1 and S2 pairs from all possible combinations of candidates by examining the signal correlation and cardiac cycle information. The performance of the algorithm was evaluated on normal heart sounds, innocent murmurs, and pathological murmurs. The proposed algorithm yields an overall sensitivity of 96.7% and positive predictive value of 98.0%.

Original languageBritish English
Title of host publicationProceedings - 8th International Conference on Signal Processing, Image Processing and Pattern Recognition, SIP 2015
EditorsByeong-Ho Kang, Carlos Ramos
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages9-12
Number of pages4
ISBN (Electronic)9781467398558
DOIs
StatePublished - 11 Mar 2016
Event8th International Conference on Signal Processing, Image Processing and Pattern Recognition, SIP 2015 - Jeju Island, Korea, Republic of
Duration: 25 Nov 201528 Nov 2015

Publication series

NameProceedings - 8th International Conference on Signal Processing, Image Processing and Pattern Recognition, SIP 2015

Conference

Conference8th International Conference on Signal Processing, Image Processing and Pattern Recognition, SIP 2015
Country/TerritoryKorea, Republic of
CityJeju Island
Period25/11/1528/11/15

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