ECG analysis with signal classification using Decision Tree Induction (DTI)

Abstract

This paper presents a new technique of classifying Arrhythmia based on ECG signal by using Decision Tree Induction as our method. Dataset of Arrhythmia is already available in MATLAB. In this paper, we trying to solve the problem of over fitting that occur in DTI. To overcome this problem, we tested it on a standard dataset and we achieved an average accuracy of 100% using our method.