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基于运动想象的脑机接口用于上肢机器人康复的临床研究。

A clinical study of motor imagery-based brain-computer interface for upper limb robotic rehabilitation.

作者信息

Ang Kai Keng, Guan Cuntai, Chua Karen Sui Geok, Ang Beng Ti, Kuah Christopher, Wang Chuanchu, Phua Kok Soon, Chin Zheng Yang, Zhang Haihong

机构信息

Institute for Infocomm Research, Agency for Science, Technology and Research, 21 Heng Mui Keng Terrace, Singapore.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:5981-4. doi: 10.1109/IEMBS.2009.5335381.

DOI:10.1109/IEMBS.2009.5335381
PMID:19965253
Abstract

Non-invasive EEG-based motor imagery brain-computer interface (MI-BCI) holds promise to effectively restore motor control to stroke survivors. This clinical study investigates the effects of MI-BCI for upper limb robotic rehabilitation compared to standard robotic rehabilitation. The subjects are hemiparetic stroke patients with mean age of 50.2 and baseline Fugl-Meyer (FM) score 29.7 (out of 66, higher = better) randomly assigned to each group respectively (N = 8 and 10). Each subject underwent 12 sessions of 1-hour rehabilitation for 4 weeks. Significant gains in FM scores were observed in both groups at post-rehabilitation (4.9, p = 0.001) and 2-month post-rehabilitation (4.9, p = 0.002). The experimental group yielded higher 2-month post-rehabilitation gain than the control (6.0 versus 4.0) but no significance was found (p = 0.475). However, among subjects with positive gain (N = 6 and 7), the initial difference of 2.8 between the two groups was increased to a significant 6.5 (p = 0.019) after adjustment for age and gender. Hence this study provides evidence that BCI-driven robotic rehabilitation is effective in restoring motor control for stroke.

摘要

基于脑电图的非侵入式运动想象脑机接口(MI-BCI)有望有效恢复中风幸存者的运动控制能力。本临床研究调查了与标准机器人康复相比,MI-BCI对上肢机器人康复的效果。受试者为偏瘫中风患者,平均年龄50.2岁,基线Fugl-Meyer(FM)评分为29.7(满分66分,分数越高越好),分别随机分配到每组(N = 8和10)。每位受试者在4周内接受了12次每次1小时的康复治疗。康复后(4.9,p = 0.001)和康复后2个月(4.9,p = 0.002)两组的FM评分均有显著提高。实验组康复后2个月的改善程度高于对照组(6.0对4.0),但差异无统计学意义(p = 0.475)。然而,在有正向改善的受试者中(N = 6和7),在对年龄和性别进行调整后,两组之间最初2.8的差异增加到显著的6.5(p = 0.019)。因此,本研究提供了证据表明BCI驱动的机器人康复对中风患者恢复运动控制是有效的。

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