This paper presents the algorithm and technical aspects of an intelligent diagnostic system for the detection of heart murmurs. The purpose of this research is to address the lack of effectively accurate cardiac auscultation present at the primary care physician office by development of an algorithm capable of operating within the hectic environment of the primary care office. The proposed algorithm consists of three main stages. First; denoising of input data (digital recordings of heart sounds), via Wavelet Packet Analysis. Second; input vector preparation through the use of Principal Component Analysis and block processing. Third; classification of the heart sound using an Artificial Neural Network. Initial testing revealed the intelligent diagnostic system can differentiate between normal healthy heart sounds and abnormal heart sounds (e.g., murmurs), with a specificity of 70.5% and a sensitivity of 64.7%.
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e-mail: nandrise@d.umn.edu
e-mail: gnordeh1@d.umn.edu
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November 2005
Technical Papers
Detection of Heart Murmurs Using Wavelet Analysis and Artificial Neural Networks
Rocio Alba-Flores,
Rocio Alba-Flores
(218) 590 - 3924
Department of Electrical and Computer Engineering,
e-mail: nandrise@d.umn.edu
University of Minnesota
, Duluth, MN 55812
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Glenn Nordehn,
Glenn Nordehn
(218) 726 - 7564
Department of Family Medicine,
e-mail: gnordeh1@d.umn.edu
University of Minnesota School of Medicine Duluth
, Duluth, MN 55812
Search for other works by this author on:
Stanley Burns
Stanley Burns
Department of Electrical and Computer Engineering,
University of Minnesota
, Duluth, MN 55812
Search for other works by this author on:
Rocio Alba-Flores
(218) 590 - 3924
Department of Electrical and Computer Engineering,
University of Minnesota
, Duluth, MN 55812e-mail: nandrise@d.umn.edu
Glenn Nordehn
(218) 726 - 7564
Department of Family Medicine,
University of Minnesota School of Medicine Duluth
, Duluth, MN 55812e-mail: gnordeh1@d.umn.edu
Stanley Burns
Department of Electrical and Computer Engineering,
University of Minnesota
, Duluth, MN 55812J Biomech Eng. Nov 2005, 127(6): 899-904 (6 pages)
Published Online: July 8, 2005
Article history
Received:
March 30, 2005
Revised:
July 8, 2005
Citation
Andrisevic, N., Ejaz, K., Rios-Gutierrez, F., Alba-Flores, R., Nordehn, G., and Burns, S. (July 8, 2005). "Detection of Heart Murmurs Using Wavelet Analysis and Artificial Neural Networks." ASME. J Biomech Eng. November 2005; 127(6): 899–904. https://doi.org/10.1115/1.2049327
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