NIRS-based classification of clench force and speed motor imagery with the use of empirical mode decomposition for BCI
文献类型：期刊论文
| 作者 | Yin XX(尹旭贤) ; Xu BL(徐保磊); Jiang ZH(蒋长好); Fu YF(伏云发); Wang ZD(王志东); Li HY(李洪谊); Shi G(石刚)
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| 刊名 | Medical Engineering and Physics
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| 出版日期 | 2015 |
| 卷号 | 37期号:3页码:280-286 |
| 关键词 | Brain-computer interface(BCI) Near-infrared spectroscopy(NIRS) Empirical mode decomposition(EMD) Joint mutual information(JMI) |
| ISSN号 | 1350-4533 |
| 产权排序 | 1 |
| 通讯作者 | 尹旭贤 |
| 中文摘要 | Near-infrared spectroscopy (NIRS) is a non-invasive optical technique used for brain-computer interface (BCI). This study aims to investigate the brain hemodynamic responses of clench force and speed motor imagery and extract task-relevant features to obtain better classification performance. Given the non-stationary characteristics of real hemodynamic measurements, empirical mode decomposition (EMD) was applied to reduce the physiological noise overwhelmed in the task-relevant NIRS signals. Compared with continuous wavelet decomposition, EMD does not require a pre-determined basis function. EMD decomposes the original signals into a set of intrinsic mode functions (IMFs). In this study, joint mutual information was applied to select the optimal features, and support vector machine was used as a classifier. Offline and pseudo-online analyses showed that the most feasible classification accuracy can be obtained using IMFs as input features. Accordingly, an alternative feature is provided to develop the NIRS-BCI system. © 2015 IPEM. |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000352249800004 |
| 公开日期 | 2015-03-17 |
| 源URL | [http://ir.sia.cn/handle/173321/15747]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | Yin XX,Xu BL,Jiang ZH,et al. NIRS-based classification of clench force and speed motor imagery with the use of empirical mode decomposition for BCI[J]. Medical Engineering and Physics,2015,37(3):280-286. |
| APA | Yin XX.,Xu BL.,Jiang ZH.,Fu YF.,Wang ZD.,...&Shi G.(2015).NIRS-based classification of clench force and speed motor imagery with the use of empirical mode decomposition for BCI.Medical Engineering and Physics,37(3),280-286. |
| MLA | Yin XX,et al."NIRS-based classification of clench force and speed motor imagery with the use of empirical mode decomposition for BCI".Medical Engineering and Physics 37.3(2015):280-286. |
入库方式： OAI收割
来源：沈阳自动化研究所
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