Soft Robotic Glove with Alpha Band Brain Computer Interface for Post-Stroke Hand Function Rehabilitation

Xiaodong Li, Junlin Wang, Xiang Cao, Wei Huang, Yong Hu
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Abstract

Loss of hand dexterity is a major challenge faced by post-stroke patients who strive to resume their ordinary daily lives. Effective hand function rehabilitation treatment for such population is therefore necessary. A soft robotic glove system operated through SSVEP-based BCI has been reported to be an effective tool for post-stroke hand motor function recovery. This study further evaluated the application of visual stimulation in the alpha band for SSVEP-assisted rehabilitation. We compared the treatment outcome with stimulations within the alpha band to that outside the band. A total of 20 post-stroke patients with severe upper limb dysfunction were randomly assigned to alpha band group and non-alpha band group. The experiment result was assessed with Fugl-Meyer upper limb Motor Assessment (FMAUE) and alpha EEG oscillation analysis. The alpha band group showed slightly but notably higher FMA-UE scores $(\mathrm{P}\lt 0.05)$, and significantly increased alpha wave EEG oscillations $(\mathrm{P}\lt 0.05)$. The result demonstrated the usefulness of alpha band SSVEP for post stroke hand function rehabilitation.
用于脑卒中后手功能康复的带有Alpha波段脑机接口的柔软机器人手套
失去手的灵活性是中风后患者努力恢复日常生活所面临的主要挑战。因此,有必要对这类人群进行有效的手功能康复治疗。据报道,通过基于ssvep的脑机接口操作的软机器人手套系统是中风后手部运动功能恢复的有效工具。本研究进一步评价了α波段视觉刺激在ssvep辅助康复中的应用。我们比较了α带内刺激和α带外刺激的治疗结果。将20例脑卒中后严重上肢功能障碍患者随机分为α带组和非α带组。采用Fugl-Meyer上肢运动评估(FMAUE)和α脑电图振荡分析对实验结果进行评估。α波段组FMA-UE评分$(\ mathm {P}\lt 0.05)$, α波脑电图振荡$(\ mathm {P}\lt 0.05)$显著升高。结果证明了α波段SSVEP在脑卒中后手功能康复中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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