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Heart Sounds Classification using Feature Extraction of Phonocardiography Signal
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 77 - Number 4 |
| Year of Publication: 2013 |
| Authors: Mandeep Singh, Amandeep Cheema |
10.5120/13381-1001
|
Mandeep Singh, Amandeep Cheema . Heart Sounds Classification using Feature Extraction of Phonocardiography Signal. International Journal of Computer Applications. 77, 4 ( September 2013), 13-17. DOI=10.5120/13381-1001
Abstract
The Phonocardiogram (PCG) signals contain very useful information about the condition of the heart. By analyzing these signals, early detection and diagnosis of heart diseases can be done. It is also very useful in the case of infants, where ECG recording and other techniques are difficult to implement. In this paper, a classification method is proposed to classify normal and abnormal heart sound signals having murmurs without getting into the cumbersome process of segmenting fundamental heart sounds (FHS) using Electrocardiogram (ECG) gating. The proposed algorithm can be easily implemented on latest electronic stethoscopes, and therefore the unnecessary ECG can be avoided.
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