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临床试验/KCT0005909
KCT0005909已完成未知

Development of System for Stroke Recovery Prediction Using Big data Deep Learning Based on Multimodal Neuroimaging

Korea University Anam Hospital0 个研究点目标入组 100 人开始时间: 待定最近更新:

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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