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ADVANCES IN CARDIAC SIGNAL PROCESSING Springer

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This 20-chapter, multi-author book with nearly 500 pages captures the advance knowledge and techniques of biosignal processing as applied to cardiac applications into a single volume. The text is being published by the world-renown science and academic publisher, Springer and is scheduled for release in March 2007.

List of Contributors (from Ngee Ann Polytechnic)

  1. Rajendra Acharya U (Main Editor)
  2. Johnny Chee
  3. Kannathal Natarajan
  4. Lim Choo Min
 Cover of Book

Abstract

This book deals with the acquisition and extraction of the various morphological features of the electrocardiogram signals covering filtering techniques, different feature extractions and their use as input into artificial neural network for classification of cardiac diseases, use of phase space plots and different parametric modeling techniques for detection of cardiac abnormalities, dynamic methods of heart rate variability quantification using methods such as Lyapunov exponents, correlation dimension, poincare geometry, approximate entropy and detrended fluctuation analysis, various autoregressive and neuro-fuzzy modeling, visualization of voluminous ECG data, fuzzy logic based data fusion to analysis and display of the heterogeneous signals for the detection of life threatening states, non-invasive methods for analysis of the aortic pressure waveform and extraction of  diagnostic parameters for assessing cardiac function, and concludes about the future of cardiac signal processing leading to next generation research topics which directly impacts the cardiac health care.

ADVANCES IN CARDIAC SIGNAL PROCESSING

    Rajendra Acharya U-1,  Jasjit S. Suri-2, Jos A E Spaan-3, Shankar M Krishnan-4   

1 Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore.
2 Idaho State Biomedical Research Institute, ID, USA and Biomedical Technologies, CO, USA.
3 Department of Medical Physics, University of Amsterdam, The Netherlands.
4 Biomedical Engineering Research Centre, Nanyang Technological University, Singapore.

   TABLE OF CONTENTS  

    Chapter No                             Chapter Title

  1. The Electrocardiogram
  2. Analysis Of Electrocardiograms
  3. Prediction Of Cardiac Signals Using Linear And Nonlinear Techniques
  4. Visualization Of Cardiac Health Using Electrocardiograms
  5. Heart Rate Variability
  6. Data Fusion Of Multimodal Cardiac
  7. Classification Of Cardiac Patient States Using Artificial Neural Networks
  8. The Application Of Autoregressive Modeling In Cardiac Arrhythmia Classification
  9. Classification Of Cardiac Abnormalities Using Heart Rate Signals
  10. 02Storage And Transmission Of Cardiac Data With Medical Images
  11. 03Assessment Of Cardiac Function In Filling & Systolic Ejection Phases: A Mathematical And Clinical Evaluation
  12. 04Determination Of Arterial Pressure Pulse Wave Propagation Velocity Pwv And Arterial Properties
  13. ECG Signal Conditioning By Morphological Filters
  14. Multivariate Analysis For Cardiovascular And Respiratory Signals
  15. Phase Space Analysis For Cardiovascular Signal
  16. Linear, Non-Linear And Wavelet Analysis Of Cardiac Health Using Heart Rate Signals
  17. Soft Tissue Biomechanics Of The Left Ventricular Myocardium
  18. Wavelets And ECG Analysis
  19. 1/F Fluctuation Of Heart Rate In Postoperative And Brain-Dead Patients
  20. Stress During Speech Therapy

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