ECG signals classification using MFCC coefficients and ANN classifier
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.