American Journal of Applied Sciences

Dynamical System of Flat Electroencephalography

Tan Lit Ken, Tahir bin Ahmad, Mohd Sham bin Mohamad and Su Kong Ngien

DOI : 10.3844/ajassp.2015.495.505

American Journal of Applied Sciences

Volume 12, Issue 7

Pages 495-505

Abstract

Flat EEG is a way of viewing electroencephalography signals on the real plane. The wealth of information contained within makes it a great platform to study epileptic seizure. In this study, the time embedment nature of Flat EEG is exploited to establish a dynamic Flat EEG model. Basically, a geometrical representation which displays the important information visually for Flat EEG at any time will firstly be formulated, followed by the representation of a Flat EEG signal as a trajectory in state space. Based on these, the modeling of Flat EEG as a dynamical system using the notion of flow is presented. This dynamic model would serve as the groundwork for the indisputably essential dynamic justification of Flat EEG in future research.

Copyright

© 2015 Tan Lit Ken, Tahir bin Ahmad, Mohd Sham bin Mohamad and Su Kong Ngien. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.