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01-Applied Mathematics & Information Sciences
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 
 

Content
 

Volumes > Volume 9 > No. 5

 
   

Analysis of EEG Signals using Nonlinear Dynamics and Chaos: A review

PP: 2309-2321
Author(s)
Germán Rodrìguez-Bermúdez, Pedro J. Garcìa-Laencina,
Abstract
Nonlinear dynamics and chaos theory have been used in neurophysiology with the aim to understand the complex brain activity from electroencephalographic (EEG) signals. Although linear methods have been the most used in EEG analysis, nonlinear approaches have been increased their presence because they reveal aspects that cannot be measured from linear approaches. However, published works in this scientific field is still very low. This work describes the fundamentals of EEG signals and its basic concepts related with nonlinear dynamics and chaotic measures of complexity and stability. After that, a short review of the most common EEG-based applications is given in medical and non-medical contexts.

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