Publication

Abstract : The cardiovascular related diseases can however be controlled through earlier detection as well as risk evaluationand prediction. In this paper the application of deep learning methods for CVD diagnosis using ECG is addressed and alsodiscussed the deep learning with Python. A detailed analysis of related articles has been conducted. The results indicate thatconvolutional neural networks are the most widely used deep learning technique in the CVD diagnosis. This research paper looksinto the advantages of deep learning approaches that can be brought by developing a framework that can enhance prediction ofheart related diseases using ECG.