Simulation of Ictal EEG with a Neuronal Population Model

摘要：

In order to analyze the behavior of EEG and its neural physiological mechanism, a neuronal population model has been adopted to simulate ictal EEG signals, and the modeling performance has been analyzed in this work. A delay unit and a gain unit were added to Wendling model to fit EEG signals in time domain, and genetic algorithm was used to identify an optimal set including of five parameters to minimize the error between real EEG and simulated EEG. The results show that the model can produce an approximation of the real EEG signal well.

作者: Zhen Ma Weidong Zhou Qi Yuan Shujuan Geng

作者单位: School of Information Science and Engineering,Shandong University, Jinan 250100, China and the Depar School of Information Science and Engineering, Shandong University, Jinan 250100, China School of Information Science and Engineering,Shandong University, Jinan 250100, China

会议类型: 国际会议

会议名称: 2011 International Symposium on Bioelectronics and Bioinformatics(第二届国际生物医学电子学与生物信息学学术会议 ISBB 2011)

会议地点: 苏州

会议语种:英文

页码: 103-106

在线出版日期: 2011-11-03（万方平台首次上网日期，不代表论文的发表时间）