Suppr超能文献

使用表面肌电图检测癫痫发作。

Detection of convulsive seizures using surface electromyography.

机构信息

Department of Clinical Neurophysiology, Danish Epilepsy Center, Dianalund, Denmark.

Department of Clinical Neurophysiology, Aarhus University Hospital, Aarhus, Denmark.

出版信息

Epilepsia. 2018 Jun;59 Suppl 1:23-29. doi: 10.1111/epi.14048.

Abstract

Bilateral (generalized) tonic-clonic seizures (TCS) increase the risk of sudden unexpected death in epilepsy (SUDEP), especially when patients are unattended. In sleep, TCS often remain unnoticed, which can result in suboptimal treatment decisions. There is a need for automated detection of these major epileptic seizures, using wearable devices. Quantitative surface electromyography (EMG) changes are specific for TCS and characterized by a dynamic evolution of low- and high-frequency signal components. Algorithms targeting increase in high-frequency EMG signals constitute biomarkers of TCS; they can be used both for seizure detection and for differentiating TCS from convulsive nonepileptic seizures. Two large-scale, blinded, prospective studies demonstrated the accuracy of wearable EMG devices for detecting TCS with high sensitivity (76%-100%). The rate of false alarms (0.7-2.5/24 h) needs further improvement. This article summarizes the pathophysiology of muscle activation during convulsive seizures and reviews the published evidence on the accuracy of EMG-based seizure detection.

摘要

双侧(全身性)强直-阵挛发作(TCS)会增加癫痫患者猝死(SUDEP)的风险,尤其是当患者无人看管时。在睡眠中,TCS 经常不被察觉,这可能导致治疗决策不理想。需要使用可穿戴设备来自动检测这些主要的癫痫发作。定量表面肌电图(EMG)变化是 TCS 的特异性表现,其特征是低频和高频信号成分的动态演变。针对高频 EMG 信号增加的算法构成了 TCS 的生物标志物;它们可用于检测发作和区分 TCS 与非癫痫性抽搐发作。两项大规模、盲法、前瞻性研究证实了可穿戴 EMG 设备检测 TCS 的高灵敏度(76%-100%)。假警报率(0.7-2.5/24 小时)仍需进一步提高。本文总结了肌肉在惊厥发作时的激活的病理生理学,并回顾了基于 EMG 的发作检测准确性的已发表证据。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验