Chapter 4 - Machine learning in biomedical signal processing with ECG applications

Abstract

The research in the field of ECG signal analysis and classification is an active research topic. ECG signal analysis plays an essential role in detecting cardiovascular diseases (e.g., occlusion of coronary arteries, heart enlargement, conduction defects, rhythm, and ionic effects). Cardiologists are trained on how to interpret ECG signals for identifying arrhythmias. For example, ECG beats are examined by determining distinctive morphological and interval-based features. However, manual analysis is time-consuming, requires expert training, and is prone to error.