Advances in Cardiac Signal Processing
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 h...
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2007, 2007
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| Edition: | 1st ed. 2007 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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