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A Hybrid Machine Learning Method for Detecting Cardiac Ejection Murmurs
Malardalen Univ, Sweden.
CAPIS Biomed Res and Dept Ctr, Belgium.
Malardalen Univ, Sweden.
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.
2018 (English)In: EMBEC and NBC 2017, SPRINGER-VERLAG SINGAPORE PTE LTD , 2018, Vol. 65, p. 787-790Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a novel method for detecting cardiac ejection murmurs from other pathological and physiological heart murmurs in children. The proposed method combines a hybrid model and a time growing neural network for an improved detection even in mild condition. Children with aortic stenosis and pulmonary stenosis comprised the patient category against the reference category containing mitral regurgitation, ventricular septal defect, innocent murmur and normal (no murmur) conditions. In total, 120 referrals to a children University hospital participated to the study after giving their informed consent. Confidence interval of the accuracy, sensitivity and specificity is estimated to be 87.2%-88.8%, 83.4%-86.9% and 88.3%-90.0%, respectively.

Place, publisher, year, edition, pages
SPRINGER-VERLAG SINGAPORE PTE LTD , 2018. Vol. 65, p. 787-790
Series
IFMBE Proceedings, ISSN 1680-0737
Keywords [en]
Intelligent phonocardiogram; heart sounds; machine learning; ejection murmurs
National Category
Medical Laboratory and Measurements Technologies
Identifiers
URN: urn:nbn:se:liu:diva-153195DOI: 10.1007/978-981-10-5122-7_197ISI: 000449778900197ISBN: 978-981-10-5122-7 (electronic)ISBN: 978-981-10-5121-0 (print)OAI: oai:DiVA.org:liu-153195DiVA, id: diva2:1267259
Conference
Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) / Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC)
Note

Funding Agencies|KKS financed research profile Embedded sensor systems for health at Malardalen University, Sweden; CAPIS Biomedical Research center

Available from: 2018-11-30 Created: 2018-11-30 Last updated: 2018-11-30

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf