A novel end-to-end 1D-ResCNN model to remove artifact from EEG signals

Title
A novel end-to-end 1D-ResCNN model to remove artifact from EEG signals
Authors
Keywords
Electroencephalogram (EEG), Artifacts removal, Deep learning, End-to-end, One-dimensional residual convolutional neural networks model (1D-ResCNN)
Journal
NEUROCOMPUTING
Volume 404, Issue -, Pages 108-121
Publisher
Elsevier BV
Online
2020-04-23
DOI
10.1016/j.neucom.2020.04.029

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