Namazi Hamidreza, Kulish Vladimir V
Department of Mechanical Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, 94300 Kuching, Sarawak, Malaysia.
School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798.
Comput Math Methods Med. 2015;2015:148534. doi: 10.1155/2015/148534. Epub 2015 May 18.
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.
人类大脑反应是大脑分析不同内部和外部刺激并做出适当决策的整体能力的结果。在过去几十年中，科学家们对这一现象有了更多的了解，并提出了一些基于计算、生物学或神经心理学方法的模型。尽管在与大脑研究这一领域相关的研究中取得了一些进展，但在人类大脑对外界刺激反应的数学建模方面所做的工作较少。本研究致力于基于分数阶扩散方程，对作为人类大脑整体活动监测的警觉状态的人类脑电图（EEG）信号在受到外部刺激时进行建模和预测。该建模结果与真实的人类EEG信号显示出非常好的一致性，因此该模型可用于多种类型的应用，如预测癫痫患者的癫痫发作起始。
