Combining Event-Related Synchronization and Event-Related Desynchronization with Fuzzy C-Means to Classify Motor Imagery-Induced EEG Signals

被引：1
|
作者：
Lin, Chi-Yuan [1 ]
Chiang, Wei-Fan [1 ]
Yang, Sheng-Chih [1 ]
Huang, Shu-Yi [1 ]
机构：
[1] Natl Chin Yi Univ Technol, Dept Comp Sci & Informat Engn, Taichung 41170, Taiwan
来源：
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON INTELLIGENT TECHNOLOGIES AND ENGINEERING SYSTEMS (ICITES2013) | 2014年 / 293卷
关键词：
Electroencephalography; BCI; Event-Related synchronization; Event-Related desynchronization; FCM;
D O I：
10.1007/978-3-319-04573-3_127
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Various motor imagery processes produce distinct electroencephalography (EEG). In this study, C3 and C4 electrode were distributed on the scalp surface of a participant to record the event-related potential (left and right hand movement) produced during testing. The event-related synchronization (ERS) and event-related desynchronization (ERD) were analyzed, and energy values of the EEG produced during the event period were calculated and used as event features. Finally, a fuzzy C-means (FCM) classifier was used to classify eigenvalues, grouping the features of left and right hand movement in EEG signals.
引用
收藏
页码：1039 / 1045
页数：7
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