Validation of a discrete electrographic seizure detection algorithm for extended-duration, reduced-channel wearable EEG.

ABSTRACT:

Objective

Reduced-channel wearable electroencephalography (EEG) may overcome the accessibility and patient comfort limitations of traditional ambulatory electrographic seizure monitoring during extended-duration use. Automated algorithms are necessary for review of extended-duration reduced-channel EEG, yet current clinical support software is designed only for full-montage recordings.

Methods

The performance of a novel automated seizure detection algorithm for reduced-channel EEG (Epitel) was evaluated in a clinical validation study involving 50 participants (31 with seizures) with diverse demographic and seizure representation.

Results

The algorithm demonstrated an event-level sensitivity of 86.2% (95% confidence interval [CI] = 79.5%-93.2%) and a false detection ra

SUBMITTER: Newton TJ 

PROVIDER: S-EPMC12291015 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature