运动想象脑机接口系统的Petri网建模方法  

Petri Net Modeling Method for Motor Imagery Brain-Computer Interface System

作　　者：方慧娟[1,2] 尹亮 罗继亮 FANG Huijuan;YIN Liang;LUO Jiliang(College of Information Science and Engineering,Huaqiao University,Xiamen 361021,China;Fujian Engineering Research Center of Motor Control and System Optimal Schedule,Huaqiao University,Xiamen 361021,China)

机构地区：[1]华侨大学信息科学与工程学院,福建厦门361021 [2]华侨大学福建省电机控制与系统优化调度工程技术研究中心,福建厦门361021

出　　处：《华侨大学学报（自然科学版）》2020年第1期113-120,共8页Journal of Huaqiao University(Natural Science)

基　　金：福建省自然科学基金资助项目(2017J01117)。

摘　　要：针对脑机接口(BCI)中的共享控制问题,提出一种BCI系统的Petri网建模方法.首先,将共享控制策略与BCI系统的内外部信息相结合,构建运动想象BCI系统的Petri网模型,描述系统的运行状态,分析和改进共享控制策略.然后,加入控制库所描述系统的外部输入,并通过合成Petri网的方法简化Petri网的建模过程.结果表明:所提方法能够正确地演化BCI系统的运行过程,提高BCI系统的适用性,可用于设计、验证和执行共享控制策略.Aiming at the problem of shared control in brain-computer interface(BCI),a Petri net modeling method of BCI system is proposed.Firstly,the shared control strategy is combined with the internal and external information of BCI system to construct the Petri net model of the motor imagery BCI system,which can describe the running state of the system,analyze and improve of the shared control strategy.Then,the control places is added to describe the external input of the system,and the modeling process is simplified by the composition of Petri net.The results show that the proposed method can correctly evolve the operation process of BCI system,improve the applicability of BCI system,and can be used to design,verify and implement the shared control strategy.

关 键 词：脑机接口 共享控制 PETRI网 控制库所 可达图 

分 类 号：TP242.6[自动化与计算机技术—检测技术与自动化装置]