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An Internet-Based Tool for Pediatric Cardiac Disease Diagnosis using Intelligent Phonocardiography
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-1940-1747
2016 (English)In: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 2016, Vol. 169, 443-447 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper suggests an internet-based tool for cardiac diagnosis in children. The main focus of the paper is the intelligent algorithms for processing heart sounds that are implementable on an internet platform. The algorithms are based on the statistical classification methods, tailored for the heart sound signal processing. The algorithms, applied to 55 healthy and 45 children with congenital heart diseases. The accuracy of the algorithm is estimated to be 86.0 % in screening the children with pathological murmurs, and 95.7 %, 92.9 % and 91.4 % in detecting the children with aortic stenosis, pulmonary stenosis and mitral regurgitation, respectively, showing an acceptable performance to be employed as a decision support tool.

Place, publisher, year, edition, pages
2016. Vol. 169, 443-447 p.
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-30477DOI: 10.1007/978-3-319-47063-4_46ISI: 000398616500046Scopus ID: 2-s2.0-85000538618ISBN: 9783319470627 (print)OAI: oai:DiVA.org:mdh-30477DiVA: diva2:885978
Conference
2nd EAI International Conference on IoT Technologies for HealthCare HealthyIoT2015, 26-27 Oct 2015, Rome, Italy
Available from: 2015-12-21 Created: 2015-12-21 Last updated: 2017-05-19Bibliographically approved

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CiteExportLink to record
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Citation style
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