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Cardiac arrhythmia analysis using Hidden Markov Model and murmur diagnosis | IEEE Conference Publication | IEEE Xplore

Cardiac arrhythmia analysis using Hidden Markov Model and murmur diagnosis


Abstract:

The heart is the most important of the vital organs and heart diseases may cause fatal consequences. Abnormal heart sounds called murmur may be a precursor of many seriou...Show More

Abstract:

The heart is the most important of the vital organs and heart diseases may cause fatal consequences. Abnormal heart sounds called murmur may be a precursor of many serious heart diseases. Cardiac auscultation is a basic technique to easily diagnose murmur disease. Auscultation can be supported by using computer aided automatic diagnosis systems to fast and accurate diagnosis. These systems are useful to remote diagnosis systems in place that have the lack of physicians and modern techniques. In this study, heart sound data taken from different patients and recorded with the help of an electronic stethoscope are classified by using Hidden Markov Model. At the end of this study, healthy heart and five different murmur diseases; can be detected with full success just listening heart sound by an automatic system.
Date of Conference: 23-25 April 2014
Date Added to IEEE Xplore: 12 June 2014
Electronic ISBN:978-1-4799-4874-1
Print ISSN: 2165-0608
Conference Location: Trabzon, Turkey

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