跳至主要内容
临床试验/NCT04584385
NCT04584385已完成不适用

Advanced EEG Technology in Childhood Epilepsy: A Multimodal Wearable Approach for Long-term Seizure Detection and Sleep Monitoring.

Universitaire Ziekenhuizen KU Leuven1 个研究点 分布在 1 个国家目标入组 130 人开始时间: 2021年2月1日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
130
试验地点
1
主要终点
Accuracy of sleep monitoring in-hospital

研究概览

简要总结

A lot of effort has already been put into the development of smaller, wearable and more user-friendly devices to monitor seizures in patients with epilepsy.

The investigators hypothesize that a wearable EEG ( in combination with additional non-EEG biosignals (motion, ECG, EMG, respiration, temperature,...) derived from Byteflies Sensor Dot and new medical patches (Plug 'n Patch system), will be able to objectively detect epileptic seizures and monitor sleep in the hospital and home environment for specific types of childhood epilepsy.

The accuracy of seizure detection and sleep monitoring by the wearable miniature EEG device in combination with other (autonomic) biosignals (full PnP system) will be compared with the golden standard video-EEG and seizure and sleep diaries filled-out by the participants.

详细描述

The objective of the study will be the following:

  1. Multimodal seizure detection Evaluation of data quality and seizure annotation accuracy. Comparison of data derived from the multimodal wearable device (Sensor dot in combination with Plug and Patch system) versus video EEG and seizure diary in childhood epilepsy syndromes with
  • Tonic seizures
  • Atonic seizures
  • Myoclonic seizures During wakefulness and during sleep
  1. Sleep monitoring Assessment of sleep data quality, latency, sleep fragmentation and time spent in different sleep stages in different childhood epilepsy syndromes. Investigation of the influence of occuring seizures on sleep architecture.

Comparison of data wearable device (Byteflies Sensor Dot in combination with Plug and Patch system) versus video-EEG and sleep diary in childhood epilepsy syndromes.

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
4 Years 至 18 Years(Child, Adult)
性别
All
接受健康志愿者

入选标准

  • Childhood epilepsy with tonic, atonic or myoclonic seizures
  • Parental informed consent and assent of the child if applicable
  • Parent or caregiver can keep a seizure and sleep diary reliably.
  • Exclusion criteria
  • Inability to provide written informed consent by parent or caregiver.
  • Known allergy to electrodes or medical adhesives used as part of the study protocol.
  • Having an implanted device, such as (but not limited to) a pacemaker, ICD, VNS because Sensor Dot contains magnets that could interfere with the operation of these devices.
  • Any other condition or finding that would compromise the safety of the participant or the quality of the study data, or otherwise interfere with achieving the study objectives, as determined by the investigator or research coordinator.

排除标准

  • 未提供

结局指标

主要结局

Accuracy of sleep monitoring in-hospital

时间窗: 24 hours

Assessment of sleep parameters with wearable multimodal device. Comparison of data with golden standard video EEG. Sleep scoring will be done according to American Academy of Sleep Medicine.

Accuracy of seizure detection in-hospital

时间窗: 24 hours

Accuracy (F1 score, precision and recall) of wearable multimodal device for seizure detection. Comparison of data with golden standard video EEG.

次要结局

  • Accuracy of seizure detection at home(1-21 days)
  • Accuracy of sleep monitoring at home(1-21 days)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

Loading locations...

相似试验