Fuzzy Recurrence Plots and Networks with Applications in Biomedicine Fuzzy Recurrence Plots and Networks with Applications in Biomedicine

Fuzzy Recurrence Plots and Networks with Applications in Biomedicine

    • 72,99 €
    • 72,99 €

Beschreibung des Verlags

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.

GENRE
Wissenschaft und Natur
ERSCHIENEN
2020
7. Januar
SPRACHE
EN
Englisch
UMFANG
187
Seiten
VERLAG
Springer International Publishing
ANBIETERINFO
Springer Science & Business Media LLC
GRÖSSE
49
 MB
Statistical Techniques for Neuroscientists Statistical Techniques for Neuroscientists
2016
Software Tools and Algorithms for Biological Systems Software Tools and Algorithms for Biological Systems
2011
Advanced Methods of Biomedical Signal Processing Advanced Methods of Biomedical Signal Processing
2011
Computational Diffusion MRI Computational Diffusion MRI
2015
Advances in Data Science Advances in Data Science
2021
Bioinformatics Research and Applications Bioinformatics Research and Applications
2023
Advances in Artificial Intelligence, Computation, and Data Science Advances in Artificial Intelligence, Computation, and Data Science
2021
Signal and Image Analysis for Biomedical and Life Sciences Signal and Image Analysis for Biomedical and Life Sciences
2014