NCT03013348Unknown不适用
Automated Identification of Psychogenic Nonepileptic Seizures
适应症
试验速览
- 阶段
- 不适用
- 入组人数
- 104
- 主要终点
- > 70% sensitivity of a post processing method for classification of psychogenic nonepileptic seizures in sEMG artifact captured during vEEG recordings as compared to vEEG interpretation by a panel of three independent Neurologists.
研究概览
简要总结
A retrospective validation study of a post-processing method intended to identify psychogenic nonepileptic seizures
详细描述
This is a validation study of a post-processing method intended to identify psychogenic nonepileptic seizures by analysis of surface electromyographic (sEMG) artifact previously recorded during routine video-electroencephalographic (vEEG) monitoring
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 2 Years 至 99 Years(Child, Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •A subject will be eligible for inclusion in this study if the following criteria apply.
- •Subject was previously admitted to the Medical University of South Carolina for inpatient vEEG monitoring in the MUSC Epilepsy Monitoring Unit and at least one PNES was recorded during that admission.
- •Male or female between the ages of 2-99
- •Can understand and sign written informed consent, or will have a parent or a legally authorized representative (LAR) who can do so, prior to the performance of any study assessments
排除标准
- •No exclusion criteria have been established for this study.
结局指标
主要结局
> 70% sensitivity of a post processing method for classification of psychogenic nonepileptic seizures in sEMG artifact captured during vEEG recordings as compared to vEEG interpretation by a panel of three independent Neurologists.
时间窗: 6 months
次要结局
未报告次要终点
研究者
相似试验
招募中
不适用
Validierung des Screenings zur Erfassung von psychosozialer Belastung und Unterstützungswunsch onkologischer Patient*inneF43F32Reaction to severe stress, and adjustment disordersDepressive episodeDRKS00025967niversitätsklinikum Greifswald1,500
尚未招募
不适用
Tests for brain functions in Alcohol DependenceCTRI/2020/04/024585Amritha S
已完成
不适用
A study to assess the risk factors that might lead to intellectual disability among children attending selected special schools of Udupi districtCTRI/2018/01/011602il160
已完成
不适用
A Study of Detection of Paroxysmal Events Utilizing Computer Vision and Machine Learning - NelliEpilepsyNCT05606575Neuro Event Labs Inc.150
已完成
不适用
Effectiveness of Neuropsychological interventions for improving academic performancemathematics learning disabilities.Developmental disorder of scholastic skills, unspecifiedIRCT138905134510N1researcher30
