Web: http://arxiv.org/abs/2209.11007

Sept. 23, 2022, 1:11 a.m. | Nick Seeuws, Maarten De Vos, Alexander Bertrand

cs.LG updates on arXiv.org arxiv.org

Neurologists are often looking for various "events of interest" when
analyzing EEG. To support them in this task various machine-learning-based
algorithms have been developed. Most of these algorithms treat the problem as
classification, thereby independently processing signal segments and ignoring
temporal dependencies inherent to events of varying duration. At inference
time, the predicted labels for each segment then have to be post processed to
detect the actual events. We propose an end-to-end event detection approach
(EventNet), based on deep learning, …

arxiv eeg events

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