Fractal Dimension as Quantifier of EEG Activity in Driving Simulation
| Autor: | Mª Antonia Navascués, Carlos Ruiz, Mª Victoria Sebastián, Mª Ángeles Idiazábal, Leandro L. Di Stasi, Antonio Otal, Carolina Diaz-Piedra |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
fractal dimension
Dynamical systems theory Computer science General Mathematics Computation Driving simulation 0206 medical engineering 02 engineering and technology Fractal dimension 03 medical and health sciences 0302 clinical medicine Fractal QA1-939 Computer Science (miscellaneous) Engineering (miscellaneous) Rest (physics) driving simulation Plane (geometry) Work (physics) electroencephalogram 020601 biomedical engineering interpolation Interpolation Electroencephalogram Algorithm Mathematics 030217 neurology & neurosurgery |
| Zdroj: | Mathematics Volume 9 Issue 11 Zaguán. Repositorio Digital de la Universidad de Zaragoza Consejo Superior de Investigaciones Científicas (CSIC) Mathematics, Vol 9, Iss 1311, p 1311 (2021) Digibug: Repositorio Institucional de la Universidad de Granada Universidad de Granada (UGR) Digibug. Repositorio Institucional de la Universidad de Granada instname |
| ISSN: | 2227-7390 |
| DOI: | 10.3390/math9111311 |
| Popis: | 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. Centro Universitario de la Defensa de Zaragoza, projects 2019-04, 2020-13 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|