| Bipolar electrode selection for a motor imagery based brain-computer interface | |
| Lou, Bin ; Hong, Bo ; Gao, Xiaorong ; Gao, Shangkai | |
| 2010-05-11 ; 2010-05-11 | |
| 关键词 | SINGLE-TRIAL EEG FEATURE-EXTRACTION SPATIAL FILTERS HAND MOVEMENT MU-RHYTHM BCI COMMUNICATION DESYNCHRONIZATION SYNCHRONIZATION DISCRIMINATION Engineering, Biomedical Neurosciences |
| 中文摘要 | A motor imagery based brain-computer interface (BCI) provides a non-muscular communication channel that enables people with paralysis to control external devices using their motor imagination. Reducing the number of electrodes is critical to improving the portability and practicability of the BCI system. A novel method is proposed to reduce the number of electrodes to a total of four by finding the optimal positions of two bipolar electrodes. Independent component analysis (ICA) is applied to find the source components of mu and alpha rhythms, and optimal electrodes are chosen by comparing the projection weights of sources on each channel. The results of eight subjects demonstrate the better classification performance of the optimal layout compared with traditional layouts, and the stability of this optimal layout over a one week interval was further verified. |
| 语种 | 英语 ; 英语 |
| 出版者 | IOP PUBLISHING LTD ; BRISTOL ; DIRAC HOUSE, TEMPLE BACK, BRISTOL BS1 6BE, ENGLAND |
| 内容类型 | 期刊论文 |
| 源URL | [http://hdl.handle.net/123456789/27727]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | Lou, Bin,Hong, Bo,Gao, Xiaorong,et al. Bipolar electrode selection for a motor imagery based brain-computer interface[J],2010, 2010. |
| APA | Lou, Bin,Hong, Bo,Gao, Xiaorong,&Gao, Shangkai.(2010).Bipolar electrode selection for a motor imagery based brain-computer interface.. |
| MLA | Lou, Bin,et al."Bipolar electrode selection for a motor imagery based brain-computer interface".(2010). |
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