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Neural activities classification of left and right finger gestures during motor execution and motor imagery(Open Access)

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机构: [a]Key Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin, China [b]Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China [c]Department of Computer and Network Engineering, College of Information Technology, UAE University, Al Ain, United Arab Emirates [d]Department of Computer Science and Technology, Zhonghuan Information College Tianjin University of Technology, Tianjin, China [e]School of Computer Science and Engineering, Northeastern University, Shenyang, China [f]Department of Electronics and Mechatronics, Tokyo Polytechnic University, Japan [g]Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China [h]North China University of Science and Technology, Tangshan, Hebei, China
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关键词: Brain–Computer Interface (BCI) hierarchical support vector machine (hSVM) motor execution (ME) motor imagery (MI)

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In this study, a new paradigm containing motor observation, motor execution, and motor imagery was designed to investigate whether motor imagery (MI) and motor execution (ME) of finger gestures can be used to extend commands of practical mBCIs. The subjects were instructed to perform or imagine 30 left and right finger gestures. Hierarchical support vector machine (hSVM) method was applied to classify four tasks (i.e., ME and MI tasks between left and right gestures). The average classification accuracies of motor imagery and execution tasks using fivefold cross-validation were 90.89 ± 9.87% and 74.08 ± 13.42% in first layer and second layer, respectively. The average accuracy of classification of four classes is 83.06 ± 7.29% overall. These results show that performing or imaging finger movements have the potential to extend the commands of the existing BCI, especially for healthy elderly living. © 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group.

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Q3 ENGINEERING, BIOMEDICAL Q4 NEUROSCIENCES

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第一作者机构: [a]Key Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin, China [b]Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
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通讯机构: [g]Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China [h]North China University of Science and Technology, Tangshan, Hebei, China
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