Movement Disorders Analysis Using a Deep Learning Approach
Bradykinesia is a key parkinsonian feature yet subjectively assessed by the MDS-UPDRS score, making reproducible measurements and follow-up challenging.
In a Movement Disorder Unit, the investigators acquired a large database of videos showing parkinsonian patients performing Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part III protocols.
Using a Deep Learning approach on these videos, the investigators aimed to develop a tool to compute an objective score of bradykinesia from the three upper limb tests described in the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part III.
研究概览
研究类型
注册 (实际的)
联系人和位置
学习地点
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Seine Saint Denis
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Bobigny、Seine Saint Denis、法国、93000
- Hospital AVICENNE
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参与标准
资格标准
适合学习的年龄
接受健康志愿者
有资格学习的性别
取样方法
研究人群
All patients seen by a neurologist in the department of Neurology at Avicenne Hospital (Bobigny, France) between June 2019 and December 2020 were recorded during MDS-UPDRS examination.
The investigators also included healthy volunteers on a voluntary basis.
描述
Inclusion Criteria:
- Age > 18 years
Exclusion Criteria:
- Refusal of participation
学习计划
研究是如何设计的?
设计细节
研究衡量的是什么?
主要结果指标
结果测量 |
措施说明 |
大体时间 |
---|---|---|
Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part III score
大体时间:1 day
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Automatic Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part III for hand bradykinesia including the three following specific tasks (finger tapping, hand movements and pronation-supination movements of hand). The minimum score is 0. The maximum score is 12 Higher scores mean wors outcome |
1 day
|
合作者和调查者
调查人员
- 首席研究员:Clément Desjardins, MD、Hospital AVICENNE
- 研究主任:Bertrand Degos, MD,PhD、Hospital AVICENNE
研究记录日期
研究主要日期
学习开始 (实际的)
初级完成 (实际的)
研究完成 (实际的)
研究注册日期
首次提交
首先提交符合 QC 标准的
首次发布 (实际的)
研究记录更新
最后更新发布 (实际的)
上次提交的符合 QC 标准的更新
最后验证
更多信息
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