Fractal Dimension as Quantifier of EEG Activity in Driving Simulation
Metadatos
Mostrar el registro completo del ítemEditorial
MDPI
Materia
Fractal dimension Electroencephalogram Driving simulation Interpolation
Fecha
2021Referencia bibliográfica
Sebastián, M.V.; Navascués, M.A.; Otal, A.; Ruiz, C.; Idiazábal, M.Á.; Di Stasi, L.L.; Díaz-Piedra, C. Fractal Dimension as Quantifier of EEG Activity in Driving Simulation. Mathematics 2021, 9, 11. https:// doi.org/10.3390/math9111311
Patrocinador
Centro Universitario de la Defensa de Zaragoza, projects 2019-04, 2020-13Resumen
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.