Related Experiment Video
Updated: May 6, 2026

Use of a Wireless Video-EEG System to Monitor Epileptiform Discharges Following Lateral Fluid-Percussion Induced Traumatic Brain Injury
Published on: June 21, 2019
TOWARDS INTERPRETABLE SEIZURE DETECTION USING WEARABLES
Irfan Al-Hussaini1, Cassie S Mitchell1
1Georgia Institute of Technology.
Abstract:
Seizure detection using machine learning is a critical problem for the timely intervention and management of epilepsy. We propose SeizFt, a robust seizure detection framework using EEG from a wearable device. It uses features paired with an ensemble of trees, thus enabling further interpretation of the model's results. The efficacy of the underlying augmentation and class-balancing strategy is also demonstrated. This study was performed for the Seizure Detection Challenge 2023, an ICASSP Grand Challenge.
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