Chapter 1 An Introduction to ECG Interpretation

Chapter 2 An Introduction to ECG Signal Processing and Analysis

Chapter 3 ECG Signal Analysis, Classification, and Interpretation: A Framework of Computational Intelligence

Chapter 4 A Generic and Patient-Specific Electrocardiogram Signal Classification System

Chapter 5 Model-Based Atrial Fibrillation Detection

Chapter 6 An Introduction to the Use of Evolutionary Computation Techniques for Dealing with ECG Signals

Chapter 8 Learning in Artificial Neural Networks

Chapter 9 A Review of Kernel Methods in ECG Signal Classification

Chapter 10 Hyperellipsoidal Classifier for Beat Classification in ECG Signals

Chapter 11 Evolutionary Optimization of ECG Feature Extraction Methods: Applications to the Monitoring of Adult Myocardial Ischemia and Neonatal Apnea Bradycardia Events