Stroke
Conditions
Brief summary
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.
Interventions
PROCEDUREBrain Computer Interface
Sponsors
Chinese University of Hong Kong
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
DOUBLE (Subject, Outcomes Assessor)
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
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.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| FMA-UE | 3-month followup |
Secondary
| Measure | Time frame |
|---|---|
| ARAT | 3-month followup |
| MAS | 3-month followup |
Countries
Hong Kong
Outcome results
None listed