Early Detection of Human Epileptic Seizures Based on Intracortical Microelectrode Array Signals.

ABSTRACT:

Objective

We examine, for the first time, the use of intracortical microelectrode array (MEA) signals for early detection of human epileptic seizures.

Methods

4×4 mm² 96-channel-MEA recordings were obtained during neuro-monitoring preceding resective surgery in five participants. The participant-specific seizure-detection framework consisted of: first, feature extraction from local field potentials (LFPs) and multiunit activity (MUA); second, nonlinear cost-sensitive support vector machine (SVM) classification of ictal and interictal states based on LFP, MUA, and combined LFP-MUA (a SVM was trained for each participant separately); and third, Kalman filter postprocessing of SVM scoring functions. Performance was assessed on data including 17 seizures and 39.0 h in

SUBMITTER: Park YS 

PROVIDER: S-EPMC7067044 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature