Cardiac disorder diagnosis based on ECG segments analysis and classification

Abstract

In this study we present a new approach to analyze and classify ECG signals for diagnosis of five cardiac conditions. Instead of following the conventional approach of beat-to-beat classification, we classify cardiac rhythms/segments of ECG based on statistical and morphological features extracted from them.