Dynamical system of flat electroencephalography

• Main Authors: Ken, Tan Lit, Ahmad, Tahir, Mohamad, Mohd. Sham, Ngien, Su Kong
• Format: Article
• Language: English
• Published: Science Publications 2015
• Subjects: QA Mathematics
• Online Access: http://eprints.utm.my/id/eprint/58343/1/TanLitKen2015_DynamicalSystemofFlatElectroencephalography.pdf; http://eprints.utm.my/id/eprint/58343/; http://dx.doi.org/10.3844/ajassp.2015.495.505

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.