Machine Learning to Classify Relative Seizure Frequency From Chronic Electrocorticography.

ABSTRACT:

Purpose

Brain responsive neurostimulation (NeuroPace) treats patients with refractory focal epilepsy and provides chronic electrocorticography (ECoG). We explored how machine learning algorithms applied to interictal ECoG could assess clinical response to changes in neurostimulation parameters.

Methods

We identified five responsive neurostimulation patients each with ≥200 continuous days of stable medication and detection settings (median, 358 days per patient). For each patient, interictal ECoG segments for each month were labeled as "high" or "low" to represent relatively high or low long-episode (i.e., seizure) count compared with the median monthly long-episode count. Power from six conventional frequency bands from four responsive neurostimulation channels were extracte

SUBMITTER: Sun Y 

PROVIDER: S-EPMC8617083 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature