Classification of ECG Heartbeat Arrhythmia: A Review
Jagadeeswara Rao Annam, Srinivas Kalyanapu, Sureshbabu Ch., Jayaprada Somala, S. Bapi Raju
Abstract
Manual identification of ECG heart-beat classes by cardiologists is time consuming and cumbersome. These professionals rely on computer based methods for determination of these heart-disease types. In this work, existing literature is organized into a proposed taxonomy based on dichotomies involving full time series-based versus feature-based, AAMI versus Non-AAMI, and inter-patient versus intra-patient based distinctions. The basic contributions of this work are systematic review of literature on heart-beat abnormality detection, identifying research gaps and the research issues unmet sofar in the literature to propose novel approaches for addressing these gaps.