Assessment of the Emfit Mattress Sensor (L-4060SLC) and Monitor (DVM-GPRS-V2) and Their Acoustic and Cloud Interface Notification Capabilities as a Nocturnal Detection System for Movements Associated With Generalized Tonic-clonic Seizures.
试验速览
- 阶段
- 不适用
- 发起方
- 入组人数
- 50
- 试验地点
- 2
- 主要终点
- Alarm effectiveness
研究概览
简要总结
Sudden unexpected death in epilepsy (SUDEP) is the most important epilepsy-related mode of death. The exact mechanism of SUDEP is not known. It is thought that cardiac and respiratory factors are involved. Several ways of preventing SUDEP have been identified. These include seizure control, stress reduction, physical activity, family's ability to perform CPR, and night supervision.
A mattress alarm system that monitors nocturnal seizures can alert family members of night time seizure activity. Thus, a family member could provide aid and therefore potentially avoid SUDEP. The Emfit monitor is intended to perform these tasks.
Investigators tested the Emfit mattress monitor DVM-GPRS-V2 in combination with the Emfit bed sensor L-4060SL in the epilepsy monitoring unit and were able to demonstrate that the device has a high predictive value for detection of generalized convulsions and that it can notify caregivers in the early stages of convulsive activity.
This study will further investigate the upgraded (connected to a cloud server via an integrated cellular GPRS module) Emfit mattress monitor DVM-GPRS-V2 and the upgraded Emfit mattress sensor L-4060SLC in combination with an acoustic and new cloud-based notification system.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Prevention
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 89 Years(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Overnight Epilepsy Monitoring Unit admission
排除标准
- •12 hours or shorter Epilepsy Monitoring Unit admission
研究组 & 干预措施
Emfit mattress sensor
干预措施: Emfit mattress sensor (Device)
结局指标
主要结局
Alarm effectiveness
时间窗: 22 months
Investigators are testing the efficacy of the Emfit mattress monitor acoustic notifications for detecting GTC seizures. During video-eeg monitoring clinically detected GTC seizures are listed. These records are compared to Emfit monitor sound notications detected at video recordings. The true-positive, false-positive and false-negative calculations are primary outcome.
次要结局
- Seizure type distinction(10 months)
