ECG HEARTBEAT CLASSIFICATION: A DEEP LEARNING USING CNN ALGORITHM

Abstract

One of the more thorough tests for identifying diseases affecting the cardiovascular system is the electrocardiogram (ECG). Computer-based technologies are now employed in ECG analysis, building on the crude techniques that were previously used to analyze these tests. Over time, sophisticated technological methods have been developed that use ECG analysis to identify cardiovascular problems. We built and trained CNN model on MITBIH dataset for two classes (Normal, Abnormal) to classify ECG heartbeat. The training and testing results were (98.6)% and (99)% respectively, which are very good and promise.