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Distinguishing Innocent Murmurs from Murmurs caused by Aortic Stenosis by Recurrence Quantification Analysis
Linköpings universitet, Institutionen för medicinsk teknik, Fysiologisk mätteknik. Linköpings universitet, Tekniska högskolan.
Dept. of Anatomy and Physiology, Faculty of Veterinary Medicine and Animal Science, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Linköpings universitet, Institutionen för medicinsk teknik, Fysiologisk mätteknik. Linköpings universitet, Tekniska högskolan.
Dept. of Clinical Sciences, Faculty of Veterinary Medicine and Animal Science, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Vise andre og tillknytning
2006 (engelsk)Inngår i: 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, s. 40-45Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Canakkale, Turkey: World Academy of Science, Engineering and Technology (W A S E T) , 2006. s. 40-45
Serie
Proceedings of World Academy of Science Engineering and Technology, ISSN 2010-376X ; 18
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-36450ISI: 000260421500009Lokal ID: 31387OAI: oai:DiVA.org:liu-36450DiVA, id: diva2:257298
Konferanse
3rd International Conference on Biosignal Processing (ICBP 2006), Vienna, Austria, DEC 16-18, 2006
Tilgjengelig fra: 2009-10-10 Laget: 2009-10-10 Sist oppdatert: 2014-01-30bibliografisk kontrollert

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