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In this project we will design a control algorithm to identify the focalized motor-related clusters for hand function on each stroke patient. A real-time feedback will control the robotic hand when motor imagery is successfully identified. Finally, the focalized BCI-robot training will be compared in a randomized controlled trial to evaluate the training effectiveness and changes in the EEG patterns.
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Inclusion criteria
(1) sufficient cognition to follow simple instructions, as well as understand the content and purpose of the experiment (Mini-Mental State Examination (MMSE) score>25) ; (2) subcortical location of the ischemic lesion within the territory of the middle cerebral artery; (3) have moderate to severe motor disability at the paretic upper limb (assessed by Fugl-Meyer Assessment (FMA), Modified Ashworth Score of fingers (MAS), and Action Research Arm Test (ARAT))
Exclusion criteria
(1) severe hand spasticity, open hand wound or hand deformity; (2) visual field deficits; (3) aphasia, neglect, and apraxia.
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45 participants in 3 patient groups
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Data sourced from clinicaltrials.gov
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