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

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

Author information

1
Institute for Infocomm Research, Agency for Science, Technology and Research, 21 Heng Mui Keng Terrace, Singapore. kkang@i2r.astar.edu.sg

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.

PMID:
19965253
DOI:
10.1109/IEMBS.2009.5335381
[Indexed for MEDLINE]

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