Abstract
Herein theoretical ideas are presented to demonstrate the utility of CEs in uncovering what is often hidden in multiply interacting ON time series. We focus on what can be learned about ONs’ resilience using what we know about modified diffusion entropy analysis (MDEA) to reveal the influence of CEs on an ON’s ability to perform its healthy function. We emphasize processing empirical time series hosting invisible CEs that consists of a mix of CEs and non-CEs. These notions have recently been applied to heart rate variability (HRV) time series, and we review those applications to convince the reader of their wider range of utility in the form of CERT. The utility of CE time series is explored to determine the efficacy of a noninvasive type of rehabilitation for certain kinds of neurodegenerative diseases. We hypothesize how complexity matching among complex dynamic ONs can be used to define this kind of rehabilitation, one that mimics nature’s own strategy for healing injuries and recovering from disease based on the noninvasive driving of a morbid ON by a healthy ON of the same kind. The first question we need to answer is: How can invisible CEs be detected?
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West, B.J., Grigolini, P., Bologna, M. (2023). Theoretical CERTs . In: Crucial Event Rehabilitation Therapy. SpringerBriefs in Bioengineering. Springer, Cham. https://doi.org/10.1007/978-3-031-46277-1_3
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