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2020, Number 4

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Rev Elec Psic Izt 2020; 23 (4)

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

Maureira CF

Language: Spanish
References: 47
Page: 1573-1591
PDF size: 211.67 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 remarkably diverse activity between the subjects, even carrying out the same task or subjected to the same interventions.


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