Publications

Abstract : Phonocardiogram (PCG) assumes a critical part in the early determination of heart irregularities. Phono-cardiogram can be utilized as an underlying diagnostics apparatus in far-off applications because of its effortlessness and cost-adequacy. The proposed work targets utilising a CNN architecture, with multiple preprocessing strategies like converting to Spectrogram or normalizing the signals, which analyze various cardiovascular anomalies from PCG signals gathered from different sources. Our study shows the viability of utilising Spectrogram and Normalization of signals in cardiac abnormalities identification. This work avoids feature extraction and trivial pre-processing mechanisms, and we have achieved promising results.