Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8840419 | Journal of Neuroscience Methods | 2018 | 15 Pages |
Abstract
We identify limitations of the traditional BSS-CCA approach to artefact removal in EEG, propose and test an extension based on spectral slope that makes it automatic and improves its performance, and results in performance comparable to competitors such as ICA-based artefact removal.
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Authors
Azin S. Janani, Tyler S. Grummett, Trent W. Lewis, Sean P. Fitzgibbon, Emma M. Whitham, Dylan DelosAngeles, Hanieh Bakhshayesh, John O. Willoughby, Kenneth J. Pope,