Sensorimotor Rhythm-Based Brain–Computer Interfaces for Motor Tasks Used in Hand Upper Extremity Rehabilitation after Stroke: A Systematic Review by Jianghong Fu, Shugeng Chen, Jie Jia

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Correction: Correlation between the ERD in grasp/open tasks of BCIs and hand function of stroke patients: a cross‑sectional study by Jianghong Fu, ZeWu Jiang, Xiaokang Shu, Shugeng Chen, Jie Jia

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Correlation between the ERD in grasp/open tasks of BCIs and hand function of stroke patients: a cross-sectional study by Jianghong Fu, ZeWu Jiang, Xiaokang Shu, Shugeng Chen, Jie Jia

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An Inter- and Intra-Subject Transfer Calibration Scheme for Improving Feedback Performance of Sensorimotor Rhythm-Based BCI Rehabilitation by Lei Cao, Shugeng Chen, Jie Jia, Chunjiang Fan, Haoran Wang, Zhixiong Xu

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A Novel Deep Learning Method Based on an Overlapping Time Window Strategy for Brain–Computer Interface-Based Stroke Rehabilitation by Lei Cao, Hailiang Wu, Shugeng Chen, Yilin Dong, Changming Zhu, Jie Jia, Chunjiang Fan

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Electroencephalography Mu Rhythm Changes and Decreased Spasticity After Repetitive Peripheral Magnetic Stimulation in Patients Following Stroke by Shugeng Chen, Yang Li, Xiaokang Shu, Chuankai Wang, Hewei Wang, Li Ding, Jie Jia, Jie Jia

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Mirror Visual Feedback Combining Vibrotactile Stimulation Promotes Embodiment Perception: An Electroencephalogram (EEG) Pilot Study by Li Ding, Jiayuan He, Lin Yao, Jinyang Zhuang, Shugeng Chen, Hewei Wang, Ning Jiang, Jie Jia

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The Differences Between Motor Attempt and Motor Imagery in Brain-Computer Interface Accuracy and Event-Related Desynchronization of Patients With Hemiplegia by Shugeng Chen, Xiaokang Shu, Hewei Wang, Li Ding, Jianghong Fu, Jie Jia, Jie Jia, Jie Jia

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Prediction of the hand function part of the Fugl‐Meyer scale after stroke using an automatic quantitative assessment system by Shugeng Chen, Xiaolei Lin, Jianghong Fu, Yeye Qian, Zihang Chen, Zhanbo Huang, Qiang Liu, Xiaofeng Lu, Jie Jia

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Proposal of a Wearable Multimodal Sensing-Based Serious Games Approach for Hand Movement Training After Stroke by Xinyu Song, Shirdi Shankara van de Ven, Shugeng Chen, Peiqi Kang, Qinghua Gao, Jie Jia, Peter B. Shull

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Longitudinal Electroencephalography Analysis in Subacute Stroke Patients During Intervention of Brain–Computer Interface With Exoskeleton Feedback by Shugeng Chen, Lei Cao, Xiaokang Shu, Hewei Wang, Li Ding, Shui-Hua Wang, Shui-Hua Wang, Jie Jia, Jie Jia

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Long-term Effectiveness and Adoption of a Cellphone Augmented Reality System on Patients with Stroke: Randomized Controlled Trial by Chong Li, Xinyu Song, Shugeng Chen, Chuankai Wang, Jieying He, Yongli Zhang, Shuo Xu, Zhijie Yan, Jie Jia, Peter Shull

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Functional-oriented, portable brain–computer interface training for hand motor recovery after stroke: a randomized controlled study by Jianghong Fu, Shugeng Chen, Xiaokang Shu, Yifang Lin, Zewu Jiang, Dongshuai Wei, Jiajia Gao, Jie Jia, Jie Jia, Jie Jia

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Editorial: Exploration of the non-invasive brain-computer interface and neurorehabilitation by Shugeng Chen, Lin Yao, Lin Yao, Lin Yao, Lin Yao, Lei Cao, Marco Caimmi, Jie Jia, Jie Jia, Jie Jia

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The Facial Skin Blood Flow Change of Stroke Patients with Facial Paralysis after Peripheral Magnetic Stimulation: A Pilot Study by Yongli Zhang, Shugeng Chen, Yinglu Ruan, Jiaying Lin, Chengdong Li, Chong Li, Shuo Xu, Zhijie Yan, Xiangyun Liu, Peng Miao, Jie Jia

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An Effective Fusing Approach by Combining Connectivity Network Pattern and Temporal-Spatial Analysis for EEG-Based BCI Rehabilitation by Lei Cao, Wenrong Wang, Chenxi Huang, Zhixiong Xu, Han Wang, Jie Jia, Shugeng Chen, Yilin Dong, Chunjiang Fan, Victor Hugo C. de Albuquerque

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EEG-Based Brain Network Analysis of Chronic Stroke Patients After BCI Rehabilitation Training by Gege Zhan, Shugeng Chen, Yanyun Ji, Ying Xu, Zuoting Song, Junkongshuai Wang, Lan Niu, Jianxiong Bin, Xiaoyang Kang, Xiaoyang Kang, Xiaoyang Kang, Xiaoyang Kang, Jie Jia, Jie Jia

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