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This book deals with the acquisition and extraction of the various morphological features of the electrocardiogram signals.

In the first chapters the book first presents data fusion and different data mining techniques that have been used for the cardiac state diagnosis. The second part deals with heart rate variability (HRV), a non-invasive measurement of cardiovascular autonomic regulation.

Next, visualization of ECG data is discussed, an important part of the display in life threatening state. Here, the handling of data is discussed which were acquired during several hours.

In the following chapters the book discusses aortic pressure measurement which is of significant clinical importance. It presents non-invasive methods for analysis of the aortic pressure waveform, indicating how it can be employed to determine cardiac contractility, arterial compliance, and peripheral resistance. In addition, the book demonstrates methods to extract diagnostic parameters for assessing cardiac function. Further the measurement strategies for contractile effort of the left ventricle are presented.

Finally, the book concludes about the future of cardiac signal processing leading to next generation research topics which directly impacts the cardiac health care.

The editors thank Biocom Technologies for the provided scientific material and help in writing the book.








Content:
Front Matter....Pages I-XXII
The Electrocardiogram....Pages 1-53
Analysis of Electrocardiograms....Pages 55-82
Prediction of Cardiac Signals Using Linear and Nonlinear Techniques....Pages 83-107
Visualization of Cardiac Health Using Electrocardiograms....Pages 109-120
Heart Rate Variability....Pages 121-165
Data Fusion of Multimodal Cardiovascular Signals....Pages 167-186
Classification of Cardiac Patient States Using Artificial Neural Networks....Pages 187-208
The Application of Autoregressive Modeling in Cardiac Arrhythmia Classification....Pages 209-226
Classification of Cardiac Abnormalities Using Heart Rate Signals: A Comparative Study....Pages 227-243
Storage and Transmission of Cardiac Data with Medical Images....Pages 245-262
Assessment of Cardiac Function in Filling amp; Systolic Ejection Phases: A Mathematical and Clinical Evaluation....Pages 263-287
Arterial Wave Propagation and Reflection at a Bifurcation Site....Pages 289-310
ECG Signal Conditioning by Morphological Filters....Pages 311-326
Multivariate Analysis for Cardiovascular and Respiratory Signals....Pages 327-337
Phase Space Analysis for Cardiovascular Signals....Pages 339-354
Linear, Non-Linear and Wavelet Analysis of Cardiac Health Using Heart Rate Signals....Pages 355-375
Soft Tissue Biomechanics of the Left Ventricular Myocardium....Pages 377-405
Wavelets and its Application in Cardiology....Pages 407-422
1/f Fluctuation of Heart Rate in Postoperative and Brain-Dead Patients....Pages 423-441
Stress During Speech Therapy....Pages 443-449
Back Matter....Pages 451-468



Content:
Front Matter....Pages I-XXII
The Electrocardiogram....Pages 1-53
Analysis of Electrocardiograms....Pages 55-82
Prediction of Cardiac Signals Using Linear and Nonlinear Techniques....Pages 83-107
Visualization of Cardiac Health Using Electrocardiograms....Pages 109-120
Heart Rate Variability....Pages 121-165
Data Fusion of Multimodal Cardiovascular Signals....Pages 167-186
Classification of Cardiac Patient States Using Artificial Neural Networks....Pages 187-208
The Application of Autoregressive Modeling in Cardiac Arrhythmia Classification....Pages 209-226
Classification of Cardiac Abnormalities Using Heart Rate Signals: A Comparative Study....Pages 227-243
Storage and Transmission of Cardiac Data with Medical Images....Pages 245-262
Assessment of Cardiac Function in Filling amp; Systolic Ejection Phases: A Mathematical and Clinical Evaluation....Pages 263-287
Arterial Wave Propagation and Reflection at a Bifurcation Site....Pages 289-310
ECG Signal Conditioning by Morphological Filters....Pages 311-326
Multivariate Analysis for Cardiovascular and Respiratory Signals....Pages 327-337
Phase Space Analysis for Cardiovascular Signals....Pages 339-354
Linear, Non-Linear and Wavelet Analysis of Cardiac Health Using Heart Rate Signals....Pages 355-375
Soft Tissue Biomechanics of the Left Ventricular Myocardium....Pages 377-405
Wavelets and its Application in Cardiology....Pages 407-422
1/f Fluctuation of Heart Rate in Postoperative and Brain-Dead Patients....Pages 423-441
Stress During Speech Therapy....Pages 443-449
Back Matter....Pages 451-468
....
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