@article {10.3844/ajassp.2015.495.505,
article_type = {journal},
title = {Dynamical System of Flat Electroencephalography},
author = {Ken, Tan Lit and Ahmad, Tahir bin and Mohamad, Mohd Sham bin and Ngien, Su Kong},
volume = {12},
year = {2015},
month = {Aug},
pages = {495-505},
doi = {10.3844/ajassp.2015.495.505},
url = {https://thescipub.com/abstract/ajassp.2015.495.505},
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.},
journal = {American Journal of Applied Sciences},
publisher = {Science Publications}
}