KCT0005909已完成未知
Development of System for Stroke Recovery Prediction Using Big data Deep Learning Based on Multimodal Neuroimaging
试验速览
- 阶段
- 未知
- 状态
- 已完成
- 入组人数
- 100
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Observational Study
入排标准
- 年龄范围
- o Limit 至 o Limit(—)
- 性别
- All
入选标准
- •Stroke patients) Patients with speech, cognitive, and motor disorders after diagnosis of stroke
- •Normal adult control group) Those with no impairment in cognitive, language, and motor function, the same gender as the patient group, and similar age
排除标准
- •A. In case of disqualification for MRI
- •-There should not be any metal material (orthodontic braces, implants that cannot be removed or metal- pacemakers, screws- in the body due to accidents or surgery). Caries treatment is okay.
- •-Those who have no brain damage, brain history, or neurological disease (normal control only)
- •-People with claustrophobia
- •B. Patient exclusion criteria
- •-Patients with neurological or psychiatric diseases prior to onset of stroke
- •-Patients with unstable vital signs or difficult to maintain rehabilitation treatment due to medical conditions
- •-Patients with difficulty in language evaluation because their language is not Korean
- •-Patients who cannot evaluate motor function (patients who already have proximal drugs due to past amputation or nerve damage
研究者
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