Home :: Contact/FAQ/HOW TO BUY :: Science & Engineering Books :: Business Books :: IT Books :: Search Book :: Promotion & Best Sellers :: Free Download

Advanced Methods and Tools for ECG Data Analysis

by Gari D. Clifford, Francisco Azuaje and Patrick McSharry (eds)

2006 (462 pages)

ISBN:9781580539661

Emphasizing the selection, modeling, classification, and interpretation of data based on advanced signal processing and AI techniques, this one-stop guide offers thorough, up-to-date coverage of the techniques and methods used in ECG data analysis.

Purchase Printed Book at Amazon below:

Purchase PDF EBook (Cheaper Option) by clicking below:

Advanced Methods and Tools for ECG Data Analysis
Preface
Chapter 1	-	The Physiological Basis of the Electrocardiogram
Chapter 2	-	ECG Acquisition, Storage, Transmission, and Representation
Chapter 3	-	ECG Statistics, Noise, Artifacts, and Missing Data
Chapter 4	-	Models for ECG and RR Interval Processes
Chapter 5	-	Linear Filtering Methods
Chapter 6	-	Nonlinear Filtering Techniques
Chapter 7	-	The Pathophysiology Guided Assessment of T-Wave Alternans
Chapter 8	-	ECG-Derived Respiratory Frequency Estimation
Chapter 9	-	Introduction to Feature Extraction
Chapter 10	-	ST Analysis
Chapter 11	-	Probabilistic Approaches to ECG Segmentation and Feature Extraction
Chapter 12	-	Supervised Learning Methods for ECG Classification/Neural Networks and SVM Approaches
Chapter 13	-	An Introduction to Unsupervised Learning for ECG Classification