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An Intelligent Phonocardiography for Automated Screening of Pediatric Heart Diseases
CAPIS Biomedical Research and Development Department, Mons, Belgium.
Tehran University of Medical Sciences, Tehran, Iran.
AIMS Industrial Group, Tehran, Iran.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
2016 (English)In: Journal of medical systems, ISSN 0148-5598, E-ISSN 1573-689X, Vol. 40, no 1, p. 1-10, article id 16Article in journal (Refereed) Published
Abstract [en]

This paper presents a robust device for automated screening of pediatric heart diseases based on our unique processing method in murmur characterization; the Arash-Band method. The present study modifies the Arash-Band method and employs output of the modified method in conjunction with the two other original techniques to extract indicative feature vectors for the screening. The extracted feature vectors are classified by using the support vector machine method. Results show that the proposed modifications significantly enhances performance of the Arash-Band in terms of the both accuracy and sensitivity as the corresponding effect sizes are sufficiently large. The proposed algorithm has been incorporated into an Android-based tablet to constitute an intelligent phonocardiogram with the automatic screening capability. In order to obtain confidence interval of the accuracy and sensitivity, an inferable statistical test is applied on our database containing the phonocardiogram signals recorded from 263 of the referrals to a hospital. The expected value of the accuracy/sensitivity is estimated to be 87.45 % / 87.29 % with a 95 % confidence interval of (80.19 % – 92.47 %) / (76.01 % – 95.78 %) exhibiting superior performance than a pediatric cardiologist who relies on conventional or even computer-assisted auscultation. 

Place, publisher, year, edition, pages
2016. Vol. 40, no 1, p. 1-10, article id 16
Keywords [en]
Heart murmur, Heart sound, Intelligent phonocardiogram, Pediatric heart diseases, Phonocardiogram
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-29750DOI: 10.1007/s10916-015-0359-3ISI: 000365418600003PubMedID: 26573653Scopus ID: 2-s2.0-84947215702OAI: oai:DiVA.org:mdh-29750DiVA, id: diva2:874634
Available from: 2015-11-27 Created: 2015-11-27 Last updated: 2018-10-16Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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