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Title |
Feature Extraction from Heart sound signal for Anomaly Detection |
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Author |
Jeyarani, JayaSingh Thomas |
| Citation |
Vol. 11 No. 9 pp. 132-140 |
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Abstract |
This paper provides valuable information about the functional aspects of the heart and cardiovascularsystem (CVS). The features extracted in this work by considering the heart signal as a sound signal can assist in formulating better techniques to diagnose cardiac disorder. The aim of this research is to develop signal analysis methods and provide a computerized cardiac auscultation system. In particular, the work focuses on feature extraction derived from the phonocardiographic (PCG) signal by using advanced signal processing techniques. |
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Keywords |
Heart Sound Signal, Mel Frequency Cepstral Coefficients (MFCC), Feature Extraction |
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