EEG动力学模型中随机共振现象的仿真研究  

Simulated Research on Stochastic Resonance Phenomenon of EEG Dynamics Model

作　　者：向学勤[1] 庞全[1] 范影乐[1] 薛凌云[1,2] 

机构地区：[1]杭州电子科技大学,生物医学工程与仪器研究所,杭州310018 [2]浙江大学,生物医学工程与仪器学院,杭州310018

出　　处：《系统仿真学报》2008年第16期4299-4301,共3页Journal of System Simulation

基　　金：浙江省自然科学基金资助项目(602127)

摘　　要：脑电图(electroencephalogram,EEG)中随机共振现象的研究对于分析大脑系统的行为具有重要理论意义和应用价值。为了模拟大脑系统中检测信号的机制,提出使用信噪比、互相关系数、互信息率对比评价方法,对EEG动力学模型中随机共振现象进行了研究。实验结果表明,EEG动力学模型不但存在着周期随机共振现象,同时也存在着非周期随机共振现象。此研究为大脑系统中存在着随机共振现象的观点提供了一种新的证据。As to cerebrum behaviour studies, the research on stochastic resonance phenomenon in electroencephalogram （EEG） has shown its important role, both on theory or in practice. By utilizing contrast means of signal-to-noise ratio, cross-correlation coefficient and mutual information rate, in order to simulate ability of cerebrum system in signal detection, stochastic resonance in EEG dynamics model was studied. Results indicate that, in EEG dynamics model, there exists not only periodic stochastic resonance phenomenon, but also aperiodic stochastic resonance phenomenon, Thus, this study gives a new evidence about the view that stochastic resonance phenomenon exists in cerebrum system.

关 键 词：随机共振 EEG动力学模型 信噪比 互相关系数 互信息率 

分 类 号：Q811[生物学—生物工程]