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Imagined Hand Clenching Force and Speed Modulate Brain Activity and Are Classified by NIRS Combined With EEG
Fu YF(伏云发); Xiong X(熊鑫); Jiang ZH(蒋长好); Xu BL(徐保磊); Li YC(李永程); Li HY(李洪谊)
Department机器人学研究室
Source PublicationIEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
ISSN1534-4320
2017
Volume25Issue:9Pages:1641-1652
Indexed BySCI ; EI
EI Accession number20173804195929
WOS IDWOS:000410192400028
Contribution Rank1
Funding OrganizationNational Natural Science Foundation of China [81470084, 61463024, 61363043] ; Applied Basic Research Foundation of Yunnan Province [2013FB026] ; Cultivation Program of Talents of Yunnan Province [KKSY201303048] ; Focal Program for Education Office of Yunnan Province [2013Z130]
KeywordBrain-computer Interface Electroen-cephalogram (Eeg) Imagined Force And Speed Of hAnd Clenching Near Infrared Spectroscopy (Nirs) Nirs-eeg
AbstractSimultaneous 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.
Language英语
WOS HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine
WOS SubjectEngineering, Biomedical ; Rehabilitation
WOS KeywordNEAR-INFRARED SPECTROSCOPY ; MOVEMENT-RELATED POTENTIALS ; COMPUTER-INTERFACE ; MOTOR IMAGERY ; OPTICAL PATHLENGTH ; CORTICAL ACTIVITY ; FINGER FORCE ; DATA FUSION ; PERFORMANCE ; PARAMETERS
WOS Research AreaEngineering ; Rehabilitation
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Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/21005
Collection机器人学研究室
Corresponding AuthorFu YF(伏云发)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), Shenyang 110016, 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.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
4.Beijing Key Lab of Physical Fitness Evaluation and Tech Analysis, Capital University of Physical Education and Sports, Beijing, 100191, 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.Nanjing HUAWEI Research Institute, Nanjing, 210000, China
Recommended Citation
GB/T 7714
Fu YF,Xiong X,Jiang ZH,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 Fu YF,Xiong X,Jiang ZH,Xu BL,Li YC,&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 Fu YF,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.
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