Abstract

We constructed the idea of oscillatory chaos in the brain during the process to use a non-linear estimator that allows us to have a more global, emergent and integrated view of the brain dynamics in its unpredictable realm of quasi-chaos forces. Through extend the application of the Hurst exponent as an estimator of the chaos/order balance of a time series, we explore such oscillatory dynamic of the brain at various time scales, applying at the end a recursive Hurst exponent estimator over a time series built from a time series of 1 second H chaos estimators. Results suggest the appearance of an emergent meta-chaos (HH) envelope that could be implied in provide order and direction in a multi-fractal chaotic system as the brain, as far as these HH estimators' values resulted influenced by the Hurst persistent effect (H>0.5). This meta-chaos estimator is sensitive to intra- and inter-individual differences, symmetric/asymmetric intra-individual patterns, and also to the frequency range of the EEG signal studied. (C) 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-ne-nd/4.0/) Peer-review under responsibility of the scientific committee of the 7th International Conference on Information Technology and Quantitative Management (ITQM 2019)