Overview
- Presents a new theory-based approach to rehabilitation
- Describes how crucial event rehabilitation therapy can be applied to Alzheimer’s Disease
- Datasets, simulation, and complexity matching are also covered
Part of the book series: SpringerBriefs in Bioengineering (BRIEFSBIOENG)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (5 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
This book describes a new strategy for rehabilitation from injury and/or disease using Crucial Event Therapy. Recent studies have shown that individuals can recuperate more rapidly from surgery and other invasive procedures intended to correct the negative effects of disease or injury through the use of life support systems that operate at the body's natural biofrequencies. The same observation has been clinically shown to reverse the degenerative effects of neurodegenerative diseases such as Parkinson’s and Alzheimer's Disease.
Crucial Event Therapy describes medicine as the operational control of the functions of the human body treated as a network-of-networks, with 1/f-variable crucial events coding the dynamic states of health and disease through information flow within a network and information exchange between biomedical networks. A new way of thinking based on the statistics of Cortical Events is presented and the relevant literature is suitably referenced. This is anideal book for biophysicists and data scientists seeking to understand the connection of complexity measures for the study of consciousness with the clinical aspects of designing a rehabilitation strategy.
Authors and Affiliations
About the authors
Bibliographic Information
Book Title: Crucial Event Rehabilitation Therapy
Book Subtitle: Multifractal Medicine
Authors: Bruce J. West, Paolo Grigolini, Mauro Bologna
Series Title: SpringerBriefs in Bioengineering
DOI: https://doi.org/10.1007/978-3-031-46277-1
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-46276-4Published: 01 December 2023
eBook ISBN: 978-3-031-46277-1Published: 30 November 2023
Series ISSN: 2193-097X
Series E-ISSN: 2193-0988
Edition Number: 1
Number of Pages: VIII, 96
Number of Illustrations: 8 b/w illustrations, 23 illustrations in colour
Topics: Mathematical Models of Cognitive Processes and Neural Networks, Biological and Medical Physics, Biophysics, Biomedical Engineering and Bioengineering, Neurosciences