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An Automatic Tool for Pediatric Heart Sounds Segmentation
Linköping University, Linköping, Sweden.
University of Mons, Belgium.
Amir Kabir University, Tehran, Iran .
Linköping University, Linköping, Sweden.
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2011 (English)In: Computing in Cardiology. vol. 28, 2011, Vol. 38, 37-40 p., 6164496Conference paper, Published paper (Other academic)
Abstract [en]

In this paper, we present a novel algorithm for pediatric heart sound segmentation, incorporated into a graphical user interface. The algorithm employs both the Electrocardiogram (ECG) and Phonocardiogram (PCG) signals for an efficient segmentation under pathological circumstances. First, the ECG signal is invoked in order to determine the beginning and end points of each cardiac cycle by using wavelet transform technique. Then, first and second heart sounds within the cycles are identified over the PCG signal by paying attention to the spectral properties of thesounds. The algorithm is applied on 120 recordings of normal and pathological children, totally containing 1976 cardiac cycles. The accuracy of thesegmentation algorithm is 97% for S1 and 94% for S2 identification while all the cardiac cycles are correctly determined.

Place, publisher, year, edition, pages
2011. Vol. 38, 37-40 p., 6164496
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-30480Scopus ID: 2-s2.0-84859961057ISBN: 978-1-4577-0612-7 (print)OAI: oai:DiVA.org:mdh-30480DiVA: diva2:886140
Conference
Computing in Cardiology 2011, CinC 2011; Hangzhou; China; 18 September 2011 through 21 September 2011
Available from: 2015-12-21 Created: 2015-12-21 Last updated: 2015-12-21Bibliographically approved

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Gharehbaghi, Arash
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