Advances in Cardiac Signal Processing (Hardcover, 2007)

The Electrocardiogram.- Analysis of Electrocardiograms.- Prediction of Cardiac Signals Using Linear and Nonlinear Techniques.- Visualization of Cardiac Health Using Electrocardiograms.- Heart Rate Variability.- Data Fusion of Multimodal Cardiovascular Signals.- Classification of Cardiac Patient States Using Artificial Neural Networks.- The Application of Autoregressive Modeling in Cardiac Arrhythmia Classification.- Classification of Cardiac Abnormalities Using Heart Rate Signals: A Comparative Study.- Storage and Transmission of Cardiac Data with Medical Images.- Assessment of Cardiac Function in Filling amp; Systolic Ejection Phases: A Mathematical and Clinical Evaluation.- Arterial Wave Propagation and Reflection at a Bifurcation Site.- ECG Signal Conditioning by Morphological Filters.- Multivariate Analysis for Cardiovascular and Respiratory Signals.- Phase Space Analysis for Cardiovascular Signals.- Linear, Non-Linear and Wavelet Analysis of Cardiac Health Using Heart Rate Signals.- Soft Tissue Biomechanics of the Left Ventricular Myocardium.- Wavelets and its Application in Cardiology.- 1/f Fluctuation of Heart Rate in Postoperative and Brain-Dead Patients.- Stress During Speech Therapy.