NCT01025401终止不适用
Caractérisation et détection Des Mouvements Durant Les Crises d'épilepsie à Des Fins d'Alarme, Pour un Usage en Institution et en Famille.
University Hospital, Grenoble2 个研究点 分布在 1 个国家目标入组 50 人开始时间: 2009年5月1日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 终止
- 发起方
- 入组人数
- 50
- 试验地点
- 2
- 主要终点
- 3-D accelerometric and magnetic sensors
研究概览
简要总结
CAPAMETRIM 2 aims to characterize epileptic motor patterns by a quantitative three-dimensional analysis of movements.
This is done to obtain a 3-D motor signature of seizures, for a given patient, and allows their detection with an ambulatory monitoring system.
The benefit for patients is to improve the diagnosis of their diseases by better characterizing their seizures.
详细描述
CAPAMETRIM 2 aims to characterize epileptic motor patterns by a quantitative three-dimensional analysis of movements.
The project is planned in three phases:
- Installation of 3-D accelerometric and magnetic sensors acquisition systems on the hospital (extension of a preceding study CAPAMETRIM).
- Collection of data on epileptic patients. Sensors will be positioned on the right and left hands and on the head. A 3-D analysis of movements will be done according to the collection by tagging data with visual analysis made on video.
- Development of a motor pattern classification system used for seizure detection.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Diagnostic
- 盲法
- None
入排标准
- 年龄范围
- 6 Years 至 —（Child, Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Adult or children (>= 6 years)
- •Written inform consented from the patient or its legal representative
- •Presurgical investigation of pharmaco-resistant partial epilepsy
- •Motor manifestations during seizures
排除标准
- •Proved generalized epilepsy
- •No motor manifestations during seizures
- •Pregnant women
- •Subjects deprived of freedom by an administrative or judicial decision
结局指标
主要结局
3-D accelerometric and magnetic sensors
时间窗: continuously during hospitalization recordings (46 Hz from 9 h to 17 h)
次要结局
- EEG(continuously during hospitalization recordings (256-1024 Hz from 9 h to 17 h))
- Video(continuously during hospitalization recordings (25 fps from 9 h to 17 h))
研究者
研究点 (2)
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