Robotic hand therapy is widely used in rehabilitation for patients with hand dysfunction caused by stoke. However, the effectiveness of passive robotic hand training for rehabilitation is still unknown. In this study, we assessed the impact of three-week passive robotic hand therapy on stroke patients based on electroencephalography (EEG) and electromyography (EMG). We employed localization techniques to identify the source of electrical activity and compared the brain activity between the left and right regions of sensorimotor. Despite the limited improvements in hand function, the results showed that there was an overall improvement in brain activity. Although no significant difference was observed in the change of brain activity at the sensorimotor regions after the training in three movement modes, the EEG-EMG coherence in the beta and gamma frequency bands were increased after training in the active mode, suggesting an increase in the efficiency of nerve signals driving muscle activity. This study contributes to a better understanding of the effectiveness of various neurological rehabilitation training methods for stroke patients undergoing robotic hand therapy.


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    Title :

    The Impact of Three-Week Passive Robotic Hand Therapy on Stroke Patients


    Additional title:

    Lect.Notes Computer


    Contributors:
    Yang, Huayong (editor) / Liu, Honghai (editor) / Zou, Jun (editor) / Yin, Zhouping (editor) / Liu, Lianqing (editor) / Yang, Geng (editor) / Ouyang, Xiaoping (editor) / Wang, Zhiyong (editor) / Li, Xinhang (author) / Zheng, Minjun (author)

    Conference:

    International Conference on Intelligent Robotics and Applications ; 2023 ; Hangzhou, China July 05, 2023 - July 07, 2023



    Publication date :

    2023-10-21


    Size :

    11 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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