Analysis on Deep Learning methods for ECG based Cardiovascular Disease prediction

Abstract

The cardiovascular related diseases can however be controlled through earlier
detection as well as risk evaluation and prediction. In this paper the application
of deep learning methods for CVD diagnosis using ECG is addressed.
A detailed Analysis of related articles has been conducted. The results indicate
that convolutional neural networks (CNN) are the most widely used deep
learning technique in the CVD diagnosis. This research paper looks into the
advantages of deep learning approaches that can be brought by developing a
framework that can enhance prediction of heart related diseases using ECG.