Can brain-computer interface promote affected upper limb movements of stroke patients?

被引:0
|
作者
Wang, Jixian [1 ]
机构
[1] Shanghai Jiao Tong Univ, Ruijin Hosp, Sch Med, Dept Rehabil Med, Shanghai 200025, Peoples R China
来源
MED | 2024年 / 5卷 / 06期
基金
中国国家自然科学基金;
关键词
D O I
10.1016/j.medj.2024.04.003
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Brain-computer interface (BCI) systems enable the brain to control limb movement on the side with impaired nerve conduction, showing great potential for promoting functional recovery. Wang et al. (1) demonstrated that BCI combined with functional electrical stimulation improved the motor function scores of stroke patients by conducting a multicenter RCT study.
引用
收藏
页码:485 / 486
页数:2
相关论文
共 50 条
  • [31] The Ipsilesional Upper Limb Can Be Affected following Stroke
    Kitsos, Gemma H.
    Hubbard, Isobel J.
    Kitsos, Alex R.
    Parsons, Mark W.
    SCIENTIFIC WORLD JOURNAL, 2013,
  • [32] EVALUATION OF EFFICIENCY OF USING OF BRAIN-COMPUTER INTERFACE IN LEARNING IMAGINATION OF MOVEMENTS OF UPPER AND LOWER LIMBS
    Bobrova, E. V.
    Reshetnikova, V. V.
    Vershinina, E. A.
    Grishin, A. A.
    Isaev, M. R.
    Bobrov, P. D.
    Gerasimenko, Yu. P.
    ZHURNAL VYSSHEI NERVNOI DEYATELNOSTI IMENI I P PAVLOVA, 2023, 73 (01) : 52 - 61
  • [33] Developing a tablet-based brain-computer interface and robotic prototype for upper limb rehabilitation
    Lakshminarayanan, Kishor
    Ramu, Vadivelan
    Shah, Rakshit
    Sunny, Md Samiul Haque
    Madathil, Deepa
    Brahmi, Brahim
    Wang, Inga
    Fareh, Raouf
    Rahman, Mohammad Habibur
    PEERJ COMPUTER SCIENCE, 2024, 10
  • [34] Developing a tablet-based brain-computer interface and robotic prototype for upper limb rehabilitation
    Lakshminarayanan, Kishor
    Ramu, Vadivelan
    Shah, Rakshit
    Sunny, Md Samiul Haque
    Madathil, Deepa
    Brahmi, Brahim
    Wang, Inga
    Fareh, Raouf
    Rahman, Mohammad Habibur
    PeerJ Computer Science, 2024, 10
  • [35] An active and passive upper limb rehabilitation training system based on a hybrid brain-computer interface
    Shen, Tongda
    Zhang, Lipeng
    Yan, Shaoting
    Hu, Yuxia
    JOURNAL OF INTEGRATED DESIGN & PROCESS SCIENCE, 2022, 26 (01) : 71 - 84
  • [36] Cortico-muscular coupling to control a hybrid brain-computer interface for upper limb motor rehabilitation: A pseudo-online study on stroke patients
    de Seta, Valeria
    Toppi, Jlenia
    Colamarino, Emma
    Molle, Rita
    Castellani, Filippo
    Cincotti, Febo
    Mattia, Donatella
    Pichiorri, Floriana
    FRONTIERS IN HUMAN NEUROSCIENCE, 2022, 16
  • [37] Classification of finger movements with an intracortical brain-computer interface in a human brain
    Jorge, Ahmed
    Royston, Dylan
    Tyler-Kabara, Elizabeth
    Boninger, Michael
    Collinger, Jennifer
    JOURNAL OF NEUROSURGERY, 2018, 128 (04) : 5 - 5
  • [38] Longitudinal Analysis of Stroke Patients' Brain Rhythms during an Intervention with a Brain-Computer Interface
    Carino-Escobar, Ruben I.
    Carrillo-Mora, Paul
    Valdes-Cristerna, Raquel
    Rodriguez-Barragan, Marlene A.
    Hernandez-Arenas, Claudia
    Quinzanos-Fresnedo, Jimena
    Galicia-Alvarado, Marlene A.
    Cantillo-Negrete, Jessica
    NEURAL PLASTICITY, 2019, 2019
  • [39] Brain-Computer Interface Based Stroke Rehabilitation For Hemiplegia
    Triponyuwasin, Preechapawan
    Wongsawat, Yodchanan
    2014 7TH BIOMEDICAL ENGINEERING INTERNATIONAL CONFERENCE (BMEICON), 2014,
  • [40] Concurrent control of a brain-computer interface and natural overt movements
    Bashford, L.
    Wu, J.
    Sarma, D.
    Collins, K.
    Rao, R. P. N.
    Ojemann, J. G.
    Mehring, C.
    JOURNAL OF NEURAL ENGINEERING, 2018, 15 (06)