Brain Training System Using Electroencephalography (EEG) for Neurorehabilitation of Hand Function After Stroke
- Conditions
- Stroke
- Interventions
- Procedure: Brain Computer Interface
- Registration Number
- NCT02323074
- Lead Sponsor
- Chinese University of Hong Kong
- 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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 45
(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))
(1) severe hand spasticity, open hand wound or hand deformity; (2) visual field deficits; (3) aphasia, neglect, and apraxia.
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Arm && Interventions
Group Intervention Description sham-BCI Brain Computer Interface Sham BCI fBCI-robot Brain Computer Interface focalized BCI-robot hand training gBCI-robot Brain Computer Interface generalized BCI-robot hand training
- Primary Outcome Measures
Name Time Method FMA-UE 3-month followup
- Secondary Outcome Measures
Name Time Method ARAT 3-month followup MAS 3-month followup
Trial Locations
- Locations (1)
Division of Biomedical Engineering, Dept Electronic Engineering
ðŸ‡ðŸ‡°Hong Kong, Hong Kong