Evaluation of ECG based Recognition of Cardiac Abnormalities using Machine Learning and Deep Learning

Around the world, the most common cause of death is due to heart disease. To reduce the risk of death, it is critical to analyze and predict heart diseases. The proposed approach introduces a novel technique to detect anomalies in Electrocardiogram signals and classify cardiac conditions (17 – classes) from 1000 fragments of ECG signals from 45 patients in the MIT-BIH Arrhythmia database. The prop...