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heart-sound-classification
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Statistical feature embedding for heart sound classification
, Article Journal of Electrical Engineering ; Volume 70, Issue 4 , 2019 , Pages 259-272 ; 13353632 (ISSN) ; Babaali, B ; Shehnepoor, S ; Sharif University of Technology
De Gruyter Open Ltd
2019
Abstract
Cardiovascular Disease (CVD) is considered as one of the principal causes of death in the world. Over recent years, this field of study has attracted researchers' attention to investigate heart sounds' patterns for disease diagnostics. In this study, an approach is proposed for normal/abnormal heart sound classification on the Physionet challenge 2016 dataset. For the first time, a fixed length feature vector; called i-vector; is extracted from each heart sound using Mel Frequency Cepstral Coefficient (MFCC) features. Afterwards, Principal Component Analysis (PCA) transform and Variational Autoencoder (VAE) are applied on the i-vector to achieve dimension reduction. Eventually, the reduced...