Wavelet Based Normal and Abnormal Heart Sound Identification using Spectrogram Analysis
Journal Title: International Journal of Computer Science & Engineering Technology - Year 2012, Vol 3, Issue 6
Abstract
The present work proposes a computer-aided normal and abnormal heart sound identification based on Discrete Wavelet Transform (DWT), it being useful for tele-diagnosis of heart diseases. Due to the presence of Cumulative Frequency components in the spectrogram, DWT is applied on the spectrogram up to n level to extract the features from the individual approximation components. One dimensional feature vector is obtained by evaluating the Row Mean of the approximation components of these spectrograms. For this present approach, the set of spectrograms has been considered as the database, rather than raw sound samples. Minimum Euclidean distance is computed between feature vector of the test sample and the feature vectors of the stored samples to identify the heart sound. By applying this algorithm, almost 82% of accuracy was achieved.
Authors and Affiliations
Nilanjan Dey , Achintya Das , Sheli Sinha Chaudhuri
Keywords
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