Imagined Hand Clenching Force and Speed Modulate Brain Activity and Are Classified by NIRS Combined With EEG
文献类型：期刊论文
| 作者 | Li YC(李永程) ; Xu BL(徐保磊); Xiong X(熊鑫); Jiang ZH(蒋长好); Fu YF(伏云发); Li HY(李洪谊)
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| 刊名 | IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
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| 出版日期 | 2017 |
| 卷号 | 25期号:9页码:1641-1652 |
| 关键词 | Brain-computer interface electroen-cephalogram (EEG) imagined force and speed of hand clenching near infrared spectroscopy (NIRS) NIRS-EEG |
| ISSN号 | 1534-4320 |
| 产权排序 | 1 |
| 通讯作者 | Fu YF(伏云发) |
| 中文摘要 | Simultaneous acquisition of brain activity signals from the sensorimotor area using NIRS combined with EEG, imagined hand clenching force and speed modulation of brain activity, as well as 6-class classification of these imagined motor parameters by NIRS-EEG were explored. Near infrared probes were aligned with C3 and C4, and EEG electrodes were placed midway between the NIRS probes. NIRS and EEG signals were acquired from six healthy subjects during six imagined hand clenching force and speed tasks involving the right hand. The results showed that NIRS combined with EEG is effective for simultaneously measuring brain activity of the sensorimotor area. The study also showed that in the duration of (0, 10) s for imagined force and speed of hand clenching, HbO first exhibited a negative variation trend, which was followed by a negative peak. After the negative peak, it exhibited a positive variation trend with a positive peak about 68 s after termination of imagined movement. During (-2, 1) s, the EEG may have indicated neural processing during the preparation, execution, and monitoring of a given imagined force and speed of hand clenching. The instantaneous phase, frequency, and amplitude feature of the EEG were calculated by Hilbert transform; HbO and the difference between HbO and Hb concentrations were extracted. The features of NIRS and EEG were combined to classify three levels of imagined force [at 20/50/80% MVGF (maximum voluntary grip force)] and speed (at 0.5/1/2 Hz) of hand clenching by SVM. The average classification accuracy of the NIRS-EEG fusion feature was 0.74 +/- 0.02. These results may provide increased control commands of force and speed for a brain-controlled robot based on NIRS-EEG. |
| WOS标题词 | Science & Technology ; Technology ; Life Sciences & Biomedicine |
| 类目[WOS] | Engineering, Biomedical ; Rehabilitation |
| 研究领域[WOS] | Engineering ; Rehabilitation |
| 关键词[WOS] | NEAR-INFRARED SPECTROSCOPY ; MOVEMENT-RELATED POTENTIALS ; COMPUTER-INTERFACE ; MOTOR IMAGERY ; OPTICAL PATHLENGTH ; CORTICAL ACTIVITY ; FINGER FORCE ; DATA FUSION ; PERFORMANCE ; PARAMETERS |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000410192400028 |
| 源URL | [http://ir.sia.cn/handle/173321/21005]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 作者单位 | 1.Beijing Key Lab of Physical Fitness Evaluation and Tech Analysis, Capital University of Physical Education and Sports, Beijing, 100191, China 2.Automation Department, Faculty of Information Engineering and Automation, Institute of Brain Information Processing and Brain-computer Interaction Fusion Control, Kunming University Science and Technology, Kunming, 650500, China 3.State Key Laboratory of Robotics, Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), Shenyang 110016, China 4.Nanjing HUAWEI Research Institute, Nanjing, 210000, China 5.Beijing Municipal Key Laboratory of Evaluation and Technical Analysis of Motor Function, Brain Science and Sports Laboratory of Capital Institute of Physical Education, Beijing, 100088, China 6.Biomedical Engineering Department, Information Engineering and Automation, Institute of Brain Information Processing and Braincomputer Interaction Fusion Control, Kunming University Science and Technology, Kunming, 650500, China |
| 推荐引用方式 GB/T 7714 | Li YC,Xu BL,Xiong X,et al. Imagined Hand Clenching Force and Speed Modulate Brain Activity and Are Classified by NIRS Combined With EEG[J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING,2017,25(9):1641-1652. |
| APA | Li YC,Xu BL,Xiong X,Jiang ZH,Fu YF,&Li HY.(2017).Imagined Hand Clenching Force and Speed Modulate Brain Activity and Are Classified by NIRS Combined With EEG.IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING,25(9),1641-1652. |
| MLA | Li YC,et al."Imagined Hand Clenching Force and Speed Modulate Brain Activity and Are Classified by NIRS Combined With EEG".IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING 25.9(2017):1641-1652. |
入库方式： OAI收割
来源：沈阳自动化研究所
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