Fractal Dimension as Quantifier of EEG Activity in Driving Simulation

Dynamical systems and fractal theory methodologies have been proved useful for the modeling analysis of experimental datasets and, in particular, electroencephalographic signals. The computation dimension approximation curves plane enables assignment numerical values to bioelectric recordings order discriminate between different states observed system. procedure does not require stationarity signals nor extremely long segments data. In previous works, we checked that this parameter is a good index brain activity. paper, consider measurement quantify geometric complexity waves rest during vehicle driving simulation scenarios. This work presents evidence allows detection changes produced areas carry out tasks, increasing with their complexity.