Advanced methods and tools for ECG data analysis / Gari D. Clifford, Francisco Azuaje, Patrick E. McSharry (editors).
2006
RC683.5.E5 A38 2006eb
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Details
Title
Advanced methods and tools for ECG data analysis / Gari D. Clifford, Francisco Azuaje, Patrick E. McSharry (editors).
ISBN
9781580539678 (electronic bk.)
158053967X (electronic bk.)
1580539661
9781580539661
158053967X (electronic bk.)
1580539661
9781580539661
Imprint
Boston : Artech House, ©2006.
Language
English
Description
1 online resource (xv, 384 pages) : illustrations
Call Number
RC683.5.E5 A38 2006eb
System Control No.
(OCoLC)228290110
Summary
Here's a cutting-edge, practical book that offers you a thorough understanding of state-of-the-art techniques for electrocardiogram (ECG) data analysis. Placing emphasis on the selection, modeling, classification, and interpretation of data based on advanced signal processing and artificial intelligence techniques, the book helps you design, implement, and evaluate software systems used for the analysis of ECG and related data. Publisher abstract.
Bibliography, etc. Note
Includes bibliographical references and index.
Formatted Contents Note
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.
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.
Digital File Characteristics
data file
Source of Description
Print version record.
Series
Artech House engineering in medicine & biology series.
Available in Other Form
Print version: Advanced methods and tools for ECG data analysis. Boston : Artech House, ©2006
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