Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6015917 | Epilepsy Research | 2013 | 11 Pages |
Abstract
Our method outperforms state-of-the-art detection techniques and only a few parameters require optimization on a limited training set. It is therefore suited for automatic seizure detection based on iEEG and may serve as a useful tool for epilepsy researchers. The technique avoids the time-consuming manual review and annotation of EEG and can be incorporated in a closed-loop treatment strategy.
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Authors
Pieter Buteneers, David Verstraeten, Bregt Van Nieuwenhuyse, Dirk Stroobandt, Robrecht Raedt, Kristl Vonck, Paul Boon, Benjamin Schrauwen,