Advanced methods and tools for ECG data analysis (Artech House, 2006)
Includes bibliographical references and index
The Physiological Basis of the Electrocardiogram - Andrew T. Reisner, Gari D. Clifford, and Roger G. Mark -- - ECG Acquisition, Storage, Transmission, and Representation - Gari D. Clifford and Matt B. Oefinger -- - ECG Statistics, Noise, Artifacts, and Missing Data - Gari D. Clifford -- - Models for ECG and RR Interval Processes - Patrick E. McSharry and Gari D. Clifford -- - Linear Filtering Methods - Gari D. Clifford -- - Nonlinear Filtering Techniques - Patrick E. McSharry and Gari D. Clifford -- - The Pathophysiology Guided Assessment of T-Wave Alternans - Sanjiv M. Narayan -- - ECG-Derived Respiratory Frequency Estimation - Raquel Bailon, Leif Sornmo, and Pablo Laguna -- - Introduction to Feature Extraction - Franc Jager -- - ST Analysis - Franc Jager -- - Probabilistic Approaches to ECG Segmentation and Feature Extraction - Nicholas P. Hughes -- - Supervised Learning Methods for ECG Classification/Neural Networks and SVM Approaches - Stanislaw Osowski, Linh Tran Hoai, and Tomasz Markiewicz -- - An Introduction to Unsupervised Learning for ECG Classification - Haiying Wang and Francisco Azuaje