12:30 - 14:30 | Thu 21 Nov | Upper Foyer Balcony | B1P-C.1
Phonocardiogram (PCG) signals contain important diagnostic information of the heart condition, which may be over looked from conventional auscultation methods, given the audible range of frequencies. Important characteristic features of PCG have been explored digitally using several automatic detection algorithms to aid in disease diagnosis, which can aid in developing novel wearable and continuous monitoring devices for various chronic heart conditions. A major limitation exists, in the sensitivity and specificity of the methods used to discriminate different cardiac diseases from normal heart sounds. In this work, a robust multiscale frequency analysis is presented for discriminating normal and heart murmur PCG.