Tailoring antiseizure treatment with a wearable device: A proof-of-concept study in absence epilepsy.

ABSTRACT:

Objective

Typical absence seizures are underreported. We aimed to improve patient care using a wearable electroencephalograph (wEEG) at home and assess a machine learning (ML) pipeline for absence detection.

Methods

Patients with typical absences used a wEEG device 12-24 h 1 week after antiseizure medication (ASM) adjustments. Three-hertz generalized spike-wave discharges (SWDs) ≥ 3 s were used as absence surrogates. After manual inspection, we used the results to guide medical treatment. The outcomes were seizure freedom, number of consecutive measurements without relapse, and side effects. Afterward, we used the ML pipeline on the recordings, and a neurologist reviewed the output. Review time and diagnostic performance were compared with manual inspection.

Results

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SUBMITTER: Macea J 

PROVIDER: S-EPMC12290996 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature