NCT03369522已完成不适用
Development of an Epileptic Seizure Detection Algorithm by Continuous Analysis of the Electrocardiogram
University Hospital, Lille4 个研究点 分布在 1 个国家目标入组 40 人开始时间: 2017年12月13日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 40
- 试验地点
- 4
- 主要终点
- ROC curve for seizure detection
研究概览
简要总结
The aim of our project is to develop an epileptic seizure detection algorithm based on the the continuous analysis of the Electrocardiogram
详细描述
In a first step, the team will build a multi-parametric algorithm on existing records issued from the Epilepsy Monitoring Units. Each selected record will be analyzed by EMU medical team in order to detect seizure on the EEG. The algorithm will adapt in order to obtain the best sensitivity and specificity regarding seizure detection.
in a second step,algorithm will validate on a cohort of other recordings in patients with epilepsy
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
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
- •patients with epilepsy
- •with a long-term video-EEG recording
- •1 (or more) seizure (s) recorded
- •onset seizure clearly defined on the basis of the EEG
排除标准
- •bad quality of the Electrocardiogram recording
- •pace-maker
- •non sinus rhythm
结局指标
主要结局
ROC curve for seizure detection
时间窗: 24 months
ROC curve gives the relation between detection probability and false alarm probability of the algorithm that will be developped
次要结局
- Time of detection of seizures(24 months)
- ROC curve for Psychogenic seizure detection(24 months)
研究者
研究点 (4)
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