Visual seizure annotation and automated seizure detection using behind-the-ear electroencephalographic channels.

ABSTRACT: OBJECTIVE:Seizure diaries kept by patients are unreliable. Automated electroencephalography (EEG)-based seizure detection systems are a useful support tool to objectively detect and register seizures during long-term video-EEG recording. However, this standard full scalp-EEG recording setup is of limited use outside the hospital, and a discreet, wearable device is needed for capturing seizures in the home setting. We are developing a wearable device that records EEG with behind-the-ear electrodes. In this study, we determined whether the recognition of ictal patterns using only behind-the-ear EEG channels is possible. Second, an automated seizure detection algorithm was developed using only those behind-the-ear EEG channels. METHODS:Fifty-four patients with a total of 182 seizures, mostly

SUBMITTER: Vandecasteele K 

PROVIDER: S-EPMC7217054 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature