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.
Highlights
IntroductionThose of fractal sets, have been shown to be useful for modeling and quantifying experimental data, for neurological signals [1,2]
Dynamical systems methodologies, and those of fractal sets, have been shown to be useful for modeling and quantifying experimental data, for neurological signals [1,2]
This activation can be studied by recording the oscillations of the electrical potential of the brain using the electroencephalogram, which allows to analyze the overload, attention, and concentration required during the performance of different tasks, as well as their loss
Summary
Those of fractal sets, have been shown to be useful for modeling and quantifying experimental data, for neurological signals [1,2]. The level of performance in a task and the ability to process information are dependent on the state of brain activation in which the subject is [17] This activation can be studied by recording the oscillations of the electrical potential of the brain using the electroencephalogram, which allows to analyze the overload, attention, and concentration required during the performance of different tasks, as well as their loss. The fractal dimension has been used to quantify the geometric complexity of brain waves in a group of subjects belonging to the Spain Armed Forces in states of rest and during the simulation of driving a military vehicle task in scenarios with different levels of difficulty. It is intended to indicate the areas of greatest activity in each of the driving tasks
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