Individualized channel-selection strategy-based brain-machine interaction rehabilitation training: A pilot study of clinical experiments

doi:10.16511/j.cnki.qhdxxb.2020.22.017

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Abstract Brain-machine interactions (BMI) can recognize motor intentions and transfer the intentions to control a rehabilitation robot assisting paralyzed limb movement, which can effectively stimulate the neural pathways for motor control and sensory feedback. Lesion types, lesion degrees and lesion sites vary from patient to patient. Motor intention expression may then shift to different brain regions depending on the lesion characteristics. This study presents an individualized channel-selection strategy-based BMI rehabilitation training method which uses the individualized motor expression encephalic area as the electroencephalogram (EEG) collection site. Three stroke patients were recruited for this study and were trained for 10 days using individualized channel-selection strategy-based BMI rehabilitation training. All the patients were assessed using a clinical evaluation scale and EEG tests before and after the 10 day training. The results show that after the training the subjects have improved Fugl-Meyer assessments and one of the subjects regains motor evoked potential which indicates the activation of the neural pathway. This individualized channel-selection strategy-based BMI rehabilitation training method should be further validated with a large number of stroke patients in the future.

Keywords stroke motor rehabilitation brain-machine interaction electroencephalogram individualization closed-loop training

Issue Date: 31 August 2020

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	JIA Tianyu
	QIAN Chao
	LI Chong
	JI Linhong
	LIU Aixian
	FANG Boyan

Cite this article:

JIA Tianyu,QIAN Chao,LI Chong, et al. Individualized channel-selection strategy-based brain-machine interaction rehabilitation training: A pilot study of clinical experiments[J]. Journal of Tsinghua University(Science and Technology), 2020, 60(11): 920-926.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2020.22.017 OR http://jst.tsinghuajournals.com/EN/Y2020/V60/I11/920

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