The impact of EEG preprocessing parameters on ultra-low-power seizure detection.

ABSTRACT:

Objective

Closed-loop neurostimulation is a promising treatment for drug-resistant focal epilepsy. A major challenge is fast and reliable seizure detection via electroencephalography (EEG). Although many approaches have been published, they often lack statistical power and practical utility. The use of various EEG preprocessing parameters and performance metrics hampers comparability. Additionally, the critical issue of energy consumption for an application in medical devices is rarely considered. Addressing these points, we present a systematic analysis of the impact of EEG preprocessing parameters on seizure detection performance and energy consumption, using one to four EEG channels.

Methods

We analyzed in 145 patients with focal epilepsy the impact of different sampling

SUBMITTER: Reisinger P 

PROVIDER: S-EPMC12605768 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature