Fractal Dimension as Quantifier of EEG Activity in Driving Simulation

Clicks: 258
ID: 265602
2021
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Abstract
Dynamical systems and fractal theory methodologies have been proved useful for the modeling and analysis of experimental datasets and, in particular, for electroencephalographic signals. The computation of the fractal dimension of approximation curves in the plane enables the assignment of numerical values to bioelectric recordings in order to discriminate between different states of the observed system. The procedure does not require the stationarity of the signals nor extremely long segments of data. In previous works, we checked that this parameter is a good index for brain activity. In this paper, we consider this measurement in order to quantify the geometric complexity of the brain waves in states of rest and during vehicle driving simulation in different scenarios. This work presents evidence that the fractal dimension allows the detection of the brain bioelectric changes produced in the areas that carry out the different driving simulation tasks, increasing with their complexity.
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sebastián2021mathematicsfractal Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Mª Victoria Sebastián;Mª Antonia Navascués;Antonio Otal;Carlos Ruiz;Mª Ángeles Idiazábal;Leandro L. Di Stasi;Carolina Díaz-Piedra;Sebastián, Mª Victoria;Navascués, Mª Antonia;Otal, Antonio;Ruiz, Carlos;Idiazábal, Mª Ángeles;Stasi, Leandro L. Di;Díaz-Piedra, Carolina;
Journal Mathematics
Year 2021
DOI
10.3390/math9111311
URL
https://www.mdpi.com/2227-7390/9/11/1311/htm
Keywords
fractal dimension driving simulation interpolation electroencephalogram

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