Atwood Alexandra Carrick, Drees Cornelia Natasha
Department of Neurology, University of Colorado, Aurora.
Neurol Clin Pract. 2021 Oct;11(5):367-371. doi: 10.1212/CPJ.0000000000001044.
The purpose of this study was to review seizure detection devices (SDDs) and their mechanisms of action and efficacy and to reflect on potential improvements for future devices.
There are 5 main categories of SDDs, these include EEG, heart rate detection (HR), electrodermal activity (EDA), motion detection, and EMG. These devices can be used in combination or in isolation to detect seizures. These devices are high in their sensitivity for convulsive seizures but are low in specificity because of a tendency to detect artifact. Overall, they perform poorly in identifying nonconvulsive seizures.
SDDs are currently most useful in detecting convulsive seizures and thereby might help against sudden unexpected death in epilepsy, although they have a high false positive rate. These devices are much less adept at detecting more clinically subtle seizures.
本研究旨在回顾癫痫发作检测设备(SDDs)及其作用机制和疗效,并思考未来设备的潜在改进方向。
癫痫发作检测设备主要有5大类,包括脑电图(EEG)、心率检测(HR)、皮肤电活动(EDA)、运动检测和肌电图(EMG)。这些设备可单独或联合使用以检测癫痫发作。它们对惊厥性癫痫发作的敏感性较高,但由于倾向于检测伪迹,特异性较低。总体而言,它们在识别非惊厥性癫痫发作方面表现不佳。
癫痫发作检测设备目前在检测惊厥性癫痫发作方面最有用,因此可能有助于预防癫痫猝死,尽管其假阳性率较高。这些设备在检测临床上更隐匿的癫痫发作方面能力要弱得多。