TOWARDS INTERPRETABLE SEIZURE DETECTION USING WEARABLES.

Journal: Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)
Published Date: May 5, 2023

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.

Authors

  • Irfan Al-Hussaini
    Georgia Institute of Technology.
  • Cassie S Mitchell
    Georgia Institute of Technology.

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