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Over 80% of patients with stroke experience finger grasping dysfunction, affecting independence in activities of daily living and quality of life. In routine training, task-oriented training is usually used for functional hand training, which may improve finger grasping performance after stroke, while augmented therapy may lead to a better treatment outcome. As a new technology-supported training, the hand rehabilitation robot provides opportunities to improve the therapeutic effect by increasing the training intensity. However, most hand rehabilitation robots commonly applied in clinics are based on a passive training mode and lack the sensory feedback function of fingers, which is not conducive to patients completing more accurate grasping movements. A force feedback hand rehabilitation robot can compensate for these defects. However, its clinical efficacy in patients with stroke remains unknown. This study aimed to investigate the effectiveness and added value of a force feedback hand rehabilitation robot combined with task-oriented training in stroke patients with hemiplegia.
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Yinghua Li
Yawen Lian
Xiaowei Chen
Journal of NeuroEngineering and Rehabilitation
Jilin University
First Hospital of Jilin University
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Li et al. (Tue,) studied this question.
www.synapsesocial.com/papers/68e6a273b6db643587625cd0 — DOI: https://doi.org/10.1186/s12984-024-01372-3