Early detection of heart symptoms with convolutional neural network and scattering wavelet transformation

Abstract

The paper utilizes Convolutional Neural Network (CNN) for preliminary screening of cardiac pathologies by classifying the signal of heartbeat, recorded by digital stethoscope and mobile devices. The Scattering Wavelet Transformation (SWT) was used for the heartbeat representation. The experiments revealed the optimum concatenation size of SWT windows to obtain the state-of-the-art in the majority of metrics, coming from the PASCAL Classifying Heart Sounds Challenge.