在耐药性中基于视频的自动发作检测:一项前性探索性研究
Fredrik K Andersson1, Helena Gauffin1, Hans Lindehammar2
1Department of Neurology and Department of Biomedical and Clinical Sciences, Faculty of Medicine and Health Sciences, Linköping University, Linköping, Sweden.
Epilepsy & behavior : E&B
|November 13, 2024
概括
一个自动化的AI视频发作检测装置 (SDD) 在诊断抗药性中显示出实用性,特别是在主要的焦点运动中. 这项技术有助于区分和非事件,从而有可能改善患者的治疗.
科学领域:
- 神经学 神经学
- 医疗技术 医疗技术 医学技术
- 人工智能的人工智能
背景情况:
- 耐药性带来了诊断挑战,通常需要长时间的视频电脑图 (EEG) 监测.
- 夜间运动发作可能很难被检测和准确地分类.
- 自动发作检测设备为持续监测和客观评估提供了潜在的解决方案.
研究的目的:
- 评估基于AI视频的发作检测装置 (SDD) 在耐药性患者的诊断产量和临床实用性.
- 评估SDD在将夜间运动事件分类为或非时的准确性.
- 为了比较设备在主要焦点运动发作和微妙焦点运动发作中的性能.
主要方法:
- 有焦点和抗药性患者的潜在招募,这些患者正在接受住院视频EEG监测.
- 在使用SDD的家庭夜间监测中位数为15.5个晚上.
- 临床专家对录制的视频记录进行分析,并根据预先规定的措施评估临床效用.
主要成果:
- 在注册会话中,SDD的诊断收益率为55.0%,临床效用率为40.0%.
- 人工智能分类与临床专家的共识相比没有显著差异.
- 主要焦点运动发作 (81.8%和63.6%) 的诊断产量和临床效用明显高于微妙焦点运动发作.
结论:
- 由人工智能驱动的SDD是评估耐药性患者的有用工具,特别是那些患有主要焦点运动的人.
- 该设备可以促进诊断过程,并可能引导抗治疗调整.
- 该SDD准确地分类主要焦点运动发作,有助于区分和非事件.
更多相关视频
10:25Multi-system Monitoring for Identification of Seizures, Arrhythmias and Apnea in Conscious Restrained Rabbits
Published on: March 27, 2021
5.9K
09:16Use of a Wireless Video-EEG System to Monitor Epileptiform Discharges Following Lateral Fluid-Percussion Induced Traumatic Brain Injury
Published on: June 21, 2019
25.5K
相关概念视频
01:24Arteries of the Lower Limbs
178
Epilepsy is a chronic neurological disease marked by recurrent, unpredictable seizures. These seizures are caused by abnormal electrical discharges in the brain, leading to behavior, sensation, or consciousness alterations. They can also cause transient impairment of awareness, interfering with daily activities.
Various factors can trigger epilepsy, including genetic factors, brain damage, metabolic causes, and unknown etiology. Diagnosis of epilepsy involves electroencephalography (EEG), which...
Various factors can trigger epilepsy, including genetic factors, brain damage, metabolic causes, and unknown etiology. Diagnosis of epilepsy involves electroencephalography (EEG), which...
178
01:13Seizures: Classification
303
Epilepsy is primarily characterized by unpredictable seizures, either provoked by an identifiable factor, such as injury or illness, or unprovoked, occurring spontaneously without apparent cause.
Seizures are typically classified into two main categories: focal and generalized seizures.
Focal Seizures
Focal seizures originate from specific regions of the brain. These seizures are further sub-classified into two types:
Seizures are typically classified into two main categories: focal and generalized seizures.
Focal Seizures
Focal seizures originate from specific regions of the brain. These seizures are further sub-classified into two types:
303