An Asynchronous MI-BCI System Based on Master-slave Features

被引：0
|
作者：
Sun, Yuge [1 ]
Ye, Ning [1 ]
Yang, Jie [1 ]
机构：
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang, Peoples R China
来源：
2016 9TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2016) | 2016年
基金：
中国国家自然科学基金;
关键词：
Asynchronous BCI; BP feature; ERS/ERD; Maste-Slave;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
This paper proposes a method to establish an asynchronous brain computer interface (BCI) system based on master-slave features. The features are extracted from motor imagery (MI) EEGs. Utilizing BP (Bereitschafts potential) feature as the master feature can detect the no-control (NC) / intentional control (IC) states in an asynchronous BCI system. EEG rhythm energy ratio is extracted as the slave feature based on event related synchronization and de-synchronization (ERS/ERD) phenomenon to identify the binary intention. Using the EEGs of imagination of the left/right hand movement, an asynchronous BCI experimental system protocol based on master-slave features is presented. The performance is evaluated by testing, which proves the effectiveness of the proposed system.
引用
收藏
页码：1456 / 1461
页数：6
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