4.5 Review

Automated seizure detection with noninvasive wearable devices: A systematic review and meta-analysis

期刊

EPILEPSIA
卷 63, 期 8, 页码 1930-1941

出版社

WILEY
DOI: 10.1111/epi.17297

关键词

ambulatory; noninvasive device; automated seizure detection; epilepsy; seizures; video; EEG use in epilepsy

资金

  1. National Health and Medical Research Council [GNT1156444]
  2. Bridging Postdoctoral Fellowship from Monash University [BPF20-3253672466]
  3. Victorian Medical Research Acceleration Fund
  4. National Health and Medical Research Council of Australia
  5. Medical Research Future Fund Practitioner Fellowship [MRF1136427]
  6. National Health and Medical Research Council of Australia [APP1091593, APP1176426]

向作者/读者索取更多资源

This study reviewed the performance of noninvasive wearable devices in detecting epileptic seizures and psychogenic nonepileptic seizures (PNES). The results showed that these devices had high sensitivity but relatively high false alarm rates. Future studies should focus on reducing false alarms, detecting other seizure types and PNES, and conducting longer recordings in the community.
Objective This study was undertaken to review the reported performance of noninvasive wearable devices in detecting epileptic seizures and psychogenic nonepileptic seizures (PNES). Methods We conducted a systematic review and meta-analysis of studies reported up to November 15, 2021. We included studies that used video-electroencephalographic (EEG) monitoring as the gold standard to determine the sensitivity and false alarm rate (FAR) of noninvasive wearables for automated seizure detection. Results Twenty-eight studies met the criteria for the systematic review, of which 23 were eligible for meta-analysis. These studies (1269 patients in total, median recording time = 52.9 h per patient) investigated devices for tonic-clonic seizures using wrist-worn and/or ankle-worn devices to measure three-dimensional accelerometry (15 studies), and/or wearable surface devices to measure electromyography (eight studies). The mean sensitivity for detecting tonic-clonic seizures was .91 (95% confidence interval [CI] = .85-.96, I-2 = 83.8%); sensitivity was similar between the wrist-worn (.93) and surface devices (.90). The overall FAR was 2.1/24 h (95% CI = 1.7-2.6, I-2 = 99.7%); FAR was higher in wrist-worn (2.5/24 h) than in wearable surface devices (.96/24 h). Three of the 23 studies also detected PNES; the mean sensitivity and FAR from these studies were 62.9% and .79/24 h, respectively. Four studies detected both focal and tonic-clonic seizures, and one study detected focal seizures only; the sensitivities ranged from 31.1% to 93.1% in these studies. Significance Reported noninvasive wearable devices had high sensitivity but relatively high FARs in detecting tonic-clonic seizures during limited recording time in a video-EEG setting. Future studies should focus on reducing FAR, detection of other seizure types and PNES, and longer recording in the community.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据