Fractional Diffusion Based Modelling and Prediction of Human Brain Response to External Stimuli

Hamidreza, Namazi and Vladimir V., Kulish (2015) Fractional Diffusion Based Modelling and Prediction of Human Brain Response to External Stimuli. Computational and Mathematical Methods in Medicine, 2015. ISSN 1748-670X

[img]
Preview
PDF
NO 21 Fractional Diffusion Based Modelling and Prediction of Human Brain Response to External Stimuli(abstract).pdf

Download (92kB) | Preview

Abstract

Human brain response is the result of the overall ability of the brain in analyzing different internal and external stimuli and thus making the proper decisions. During the last decades scientists have discovered more about this phenomenon and proposed some models based on computational, biological, or neuropsychological methods. Despite some advances in studies related to this area of the brain research, there were fewer efforts which have been done on the mathematical modeling of the human brain response to external stimuli. This research is devoted to the modeling and prediction of the human EEG signal, as an alert state of overall human brain activity monitoring, upon receiving external stimuli, based on fractional diffusion equations. The results of this modeling show very good agreement with the real human EEG signal and thus this model can be used for many types of applications such as prediction of seizure onset in patient with epilepsy.

Item Type: Article
Uncontrolled Keywords: unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, undergraduate, Postgraduate, research, Universiti Malaysia Sarawak
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Karen Kornalius
Date Deposited: 03 Nov 2015 03:25
Last Modified: 03 Aug 2016 16:41
URI: http://ir.unimas.my/id/eprint/9292

Actions (For repository members only: login required)

View Item View Item