[1]方慧娟,尹亮,罗继亮.运动想象脑机接口系统的Petri网建模方法[J].华侨大学学报(自然科学版),2020,41(1):113-120.[doi:10.11830/ISSN.1000-5013.201908023]
　FANG Huijuan,YIN Liang,LUO Jiliang.Petri Net Modeling Method for Motor Imagery Brain-Computer Interface System[J].Journal of Huaqiao University(Natural Science),2020,41(1):113-120.[doi:10.11830/ISSN.1000-5013.201908023]
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运动想象脑机接口系统的Petri网建模方法()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第41卷
期数:
2020年第1期
页码:
113-120
栏目:
出版日期:
2020-01-20

文章信息/Info

Title:
Petri Net Modeling Method for Motor Imagery Brain-Computer Interface System
文章编号:
1000-5013(2020)01-0113-08
作者:
方慧娟1; 2;  尹亮1; 2;  罗继亮1; 2
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
Author(s):
FANG Huijuan1; 2;  YIN Liang1; 2;  LUO Jiliang1; 2
1. College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China; 2. Fujian Engineering Research Center of Motor Control and System Optimal Schedule, Huaqiao University, Xiamen 361021, China
关键词:
脑机接口;  共享控制;  Petri网;  控制库所;  可达图
Keywords:
brain-computer interface;  shared control;  Petri net;  control places;  reachability graph
分类号:
TP242.6
DOI:
10.11830/ISSN.1000-5013.201908023
文献标志码:
A
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.
Abstract:
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.

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备注/Memo

备注/Memo:
收稿日期: 2019-08-19
通信作者: 方慧娟(1979-),女,讲师,博士,主要从事脑机接口和智能控制的研究.E-mail:huijuan.fang@163.com.
基金项目: 福建省自然科学基金资助项目(2017J01117)
更新日期/Last Update: 2020-01-20