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Distinguishing Innocent Murmurs from Murmurs caused by Aortic Stenosis by Recurrence Quantification Analysis
Linköping University, Department of Biomedical Engineering, Physiological Measurements. Linköping University, The Institute of Technology.
Dept. of Anatomy and Physiology, Faculty of Veterinary Medicine and Animal Science, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Linköping University, Department of Biomedical Engineering, Physiological Measurements. Linköping University, The Institute of Technology.
Dept. of Clinical Sciences, Faculty of Veterinary Medicine and Animal Science, Swedish University of Agricultural Sciences, Uppsala, Sweden.
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2006 (English)In: ROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 18, Canakkale, Turkey: World Academy of Science, Engineering and Technology (W A S E T) , 2006, 40-45 p.Conference paper, Published paper (Refereed)
Abstract [en]

It is sometimes difficult to differentiate between innocent murmurs and pathological murmurs during auscultation. In these difficult cases, an intelligent stethoscope with decision support abilities would be of great value. In this study, using a dog model, phonocardiographic recordings were obtained from 27 boxer dogs with various degrees of aortic stenosis (AS) severity. As a reference for severity assessment, continuous wave Doppler was used. The data were analyzed with recurrence quantification analysis (RQA) with the aim to find features able to distinguish innocent murmurs from murmurs caused by AS. Four out of eight investigated RQA features showed significant differences between innocent murmurs and pathological murmurs. Using a plain linear discriminant analysis classifier, the best pair of features (recurrence rate and entropy) resulted in a sensitivity of 90% and a specificity of 88%. In conclusion, RQA provide valid features which can be used for differentiation between innocent murmurs and murmurs caused by AS.

Place, publisher, year, edition, pages
Canakkale, Turkey: World Academy of Science, Engineering and Technology (W A S E T) , 2006. 40-45 p.
Series
Proceedings of World Academy of Science Engineering and Technology, ISSN 2010-376X ; 18
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:liu:diva-36450ISI: 000260421500009Local ID: 31387OAI: oai:DiVA.org:liu-36450DiVA: diva2:257298
Conference
3rd International Conference on Biosignal Processing (ICBP 2006), Vienna, Austria, DEC 16-18, 2006
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2014-01-30Bibliographically approved

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Ahlström, ChristerHult, PeterAsk, Per

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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  • Other style
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  • de-DE
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  • nn-NB
  • sv-SE
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Output format
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