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2022, Number 3

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Rev Elec Psic Izt 2022; 25 (3)

The hurst exponent as a parameter for analyzing eeg signals to understand human cognition: a review

Maureira CF

Language: Spanish
References: 47
Page: 930-948
PDF size: 309.81 Kb.


ABSTRACT

The following work is a review of the articles that use the Hurst exponent to analyze electroencephalogram signals. The search was carried out in the Medline/Pubmed and Scopus databases, obtaining a total of 37 articles that met the inclusion criteria (published between 1 January 2000 and 31 December 2019, English or Spanish, research articles and studies on human beings). 64.9% of the work is devoted to the understanding of brain activity at rest or during the resolution of cognitive problems, and 27% to the categorization of signals by software or classification systems. The need for the individual study of brain activity is concluded, since the exponents of Hurst show a very diverse activity between the subjects, even carrying out the same task or subjected to the same interventions.


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