NCT02323074Unknown不适用
Brain Training System Using Electroencephalography (EEG) for Neurorehabilitation of Hand Function After Stroke
适应症
试验速览
- 阶段
- 不适用
- 入组人数
- 45
- 试验地点
- 1
- 主要终点
- FMA-UE
研究概览
简要总结
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.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Treatment
- 盲法
- Double (Participant, Outcomes Assessor)
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •(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))
排除标准
- •(1) severe hand spasticity, open hand wound or hand deformity; (2) visual field deficits; (3) aphasia, neglect, and apraxia.
结局指标
主要结局
FMA-UE
时间窗: 3-month followup
次要结局
- ARAT(3-month followup)
- MAS(3-month followup)
研究者
Raymond KY Tong
Professor
Chinese University of Hong Kong
研究点 (1)
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