Overview
- The first dedicated book on fuzzy recurrence plots of time series and images
- Discusses unweighted and weighted fuzzy recurrence networks of time series and images
- Reviews novel applications of fuzzy recurrence analysis to several problems in medicine and physiology
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (7 chapters)
Keywords
About this book
This book presents an original combination of three well-known methodological approaches for nonlinear data analysis: recurrence, networks, and fuzzy logic.
After basic concepts of these three approaches are introduced, this book presents recently developed methods known as fuzzy recurrence plots and fuzzy recurrence networks. Computer programs written in MATLAB, which implement the basic algorithms, are included to facilitate the understanding of the developed ideas. Several applications of these techniques to biomedical problems, ranging from cancer and neurodegenerative disease to depression, are illustrated to show the potential of fuzzy recurrence methods.
This book opens a new door to theorists in complex systems science as well as specialists in medicine, biology, engineering, physics, computer science, geosciences, and social economics to address issues in experimental nonlinear signal and data processing.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Fuzzy Recurrence Plots and Networks with Applications in Biomedicine
Authors: Tuan D. Pham
DOI: https://doi.org/10.1007/978-3-030-37530-0
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-37529-4Published: 08 January 2020
Softcover ISBN: 978-3-030-37532-4Published: 08 January 2021
eBook ISBN: 978-3-030-37530-0Published: 07 January 2020
Edition Number: 1
Number of Pages: XVII, 170
Number of Illustrations: 39 b/w illustrations, 32 illustrations in colour
Topics: Computational Mathematics and Numerical Analysis, Math Applications in Computer Science, Biomedicine, general, Dynamical Systems and Ergodic Theory, Pattern Recognition, Coding and Information Theory