Normal and Abnormal ECG Signal Classification using Deep Learning

A technique for tracking heart rate using electrodes and spotting minute electrical changes in individual heart rates is called an electrocardiogram (ECG). This looks at a variety of aberrant cardiac processes, including arrhythmias and conduction issues. In this study, deep learning, a classification approach, is used to classify normal and abnormal ECG data using the suggested method. To demonstrate the effectiveness of the suggested method, images of the ECG signals' scalograms are compared with those of the traditional SVM and ANN classifiers.