Complexity and Nonlinearity in Cardiovascular Signals /
| Corporate Author: | |
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Edition: | 1st ed. 2017. |
| Subjects: |
Table of Contents:
- Part I: Introduction
- 1. Introducing Complex Cardiovascular Physiology
- Part II: Methods
- 2. Symbolic Dynamics, Poincaré Plot Analysis and Compression Entropy Estimate Complexity in Biological Time Series
- 3. Information Decomposition: A tool to Dissect Cardiovascular and Cardiorespiratory Complexity
- 4. Multiscale Entropy: Recent Advances
- 5. Introduction to Complex Systems Analysis with Wavelets
- 6. Intermittency-Driven Complexity in Signal Processing
- 7. Self-Similarity and Detrended Fluctuation Analysis of Cardiovascular Signals
- 8. Time-varying Cardiovascular Complexity with focus on Entropy and Lyapunov Exponents
- 9. Time-frequency analysis of cardiovascular signals and their dynamic interactions
- Part III: Applications
- 10. Measurements of Cardiovascular Signal Complexity for Advanced Clinical Applications
- 11. Applications of Complexity Analysis in Clinical Heart Failure
- 12. Heart Rate Complexity Associated with Diabetic Cardiac Neuropathy
- 13. Applications of Heartbeat Complexity Analysis to Depression and Bipolar Disorder
- 14. Cardiac Autonomic changes in Epilepsy
- 15. Applications of Nonlinear Methods to Atrial Fibrillation
- 16. Complex and Nonlinear Analysis of Heart Rate Variability in the Assessment of Fetal and Neonatal Wellbeing
- 17. ARFIMA-GARCH Modelling of HRV: Clinical Application in Acute Brain Injury
- 18. Age and Gender Dependency of Complexity Measures of Short-term Heart Rate Time Series
- 19. Complexity and Nonlinearities in Cardiorespiratory Signals in Sleep and Sleep Apnea.