Can We Push the “Quasi-Perfect Artifact Rejection” Even Closer to Perfection?
暂无分享,去创建一个
Makoto Miyakoshi | John A. Sweeney | Craig A. Erickson | Lauren M. Schmitt | Ernest V. Pedapati | J. Sweeney | L. Schmitt | M. Miyakoshi | C. Erickson | E. Pedapati
[1] P. Mitra,et al. Analysis of dynamic brain imaging data. , 1998, Biophysical journal.
[2] Scott Makeig,et al. Modeling brain dynamic state changes with adaptive mixture independent component analysis , 2018, NeuroImage.
[3] Jack W. Tsao,et al. Observed brain dynamics, P.P. Mitra, H. Bokil. Oxford University Press (2008), ISBN-13: 978-0-19-517808-1, 381 pages, $65.00 , 2009 .
[4] Alain de Cheveigné,et al. ZapLine: A simple and effective method to remove power line artifacts , 2019, NeuroImage.
[5] Arnaud Delorme,et al. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.
[6] A. Seth,et al. Behaviour of Granger causality under filtering: Theoretical invariance and practical application , 2011, Journal of Neuroscience Methods.
[7] Kyungmin Su,et al. The PREP pipeline: standardized preprocessing for large-scale EEG analysis , 2015, Front. Neuroinform..