Improving the discrimination of hand motor imagery via virtual reality based visual guidance
文献类型：期刊论文
| 作者 | Liang, Shuang; Choi, Kup-Sze; Qin, Jing; Pang, Wai-Man; Wang, Qiong; Heng, Pheng-Ann |
| 刊名 | COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
 |
| 出版日期 | 2016 |
| 英文摘要 | While research on the brain-computer interface (BCI) has been active in recent years, how to get high-quality electrical brain signals to accurately recognize human intentions for reliable communication and interaction is still a challenging task. The evidence has shown that visually guided motor imagery (MI) can modulate sensorimotor electroencephalographic (EEG) rhythms in humans, but how to design and implement efficient visual guidance during MI in order to produce better event-related desynchronization (ERD) patterns is still unclear. The aim of this paper is to investigate the effect of using object-oriented movements in a virtual environment as visual guidance on the modulation of sensorimotor EEG rhythms generated by hand MI. To improve the classification accuracy on MI, we further propose an algorithm to automatically extract subject-specific optimal frequency and time bands for the discrimination of ERD patterns produced by left and right hand MI. The experimental results show that the average classification accuracy of object-directed scenarios is much better than that of non-object-directed scenarios (76.87% vs. 69.66%). The result of the t-test measuring the difference between them is statistically significant (p = 0.0207). When compared to algorithms based on fixed frequency and time bands, contralateral dominant ERD patterns can be enhanced by using the subject-specific optimal frequency and the time bands obtained by our proposed algorithm. These findings have the potential to improve the efficacy and robustness of MI-based BCI applications. |
| 收录类别 | SCI |
| 原文出处 | http://www.sciencedirect.com/science/article/pii/S0169260715301073 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/9827]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE |
| 推荐引用方式 GB/T 7714 | Liang, Shuang,Choi, Kup-Sze,Qin, Jing,et al. Improving the discrimination of hand motor imagery via virtual reality based visual guidance[J]. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE,2016. |
| APA | Liang, Shuang,Choi, Kup-Sze,Qin, Jing,Pang, Wai-Man,Wang, Qiong,&Heng, Pheng-Ann.(2016).Improving the discrimination of hand motor imagery via virtual reality based visual guidance.COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. |
| MLA | Liang, Shuang,et al."Improving the discrimination of hand motor imagery via virtual reality based visual guidance".COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2016). |
入库方式： OAI收割
来源：深圳先进技术研究院
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