Surface Laplacian of Central Scalp Electrical Signals is Insensitive to Muscle Contamination. - Sean P. Fitzgibbon; Trent W. Lewis; David M. W. Powers; Emma W. Whitham; John O. Willoughby; Kenneth J. Pope (IEEE Trans. Biomed. Eng., 2013)

Cross Subject Mental Work Load Classification from Electroencephalographic Signals with Automatic Artifact Rejection and Muscle Pruning. - Sajeev Kunjan; Trent W. Lewis; Tyler S. Grummett; David M. W. Powers; Kenneth J. Pope; Sean P. Fitzgibbon; John O. Willoughby (BIH, 2016)

A comparison of independent component analysis algorithms and measures to discriminate between EEG and artifact components. - Dhani Dharmaprani; Hoang K. Nguyen; Trent W. Lewis; Dylan DeLosAngeles; John O. Willoughby; Kenneth J. Pope (EMBC, 2016)

How Many Channels are Enough? Evaluation of Tonic Cranial Muscle Artefact Reduction Using ICA with Different Numbers of EEG Channels. - Azin S. Janani; Tyler S. Grummett; Hanieh Bakhshayesh; Trent W. Lewis; John O. Willoughby; Kenneth J. Pope (EUSIPCO, 2018)

Beamforming and Blind Source Separation Have a Complementary Effect in Reducing Tonic Cranial Muscle Contamination of Scalp Measurements. - Azin S. Janani; Tyler S. Grummett; Hanieh Bakhshayesh; John O. Willoughby; Kenneth J. Pope (EUSIPCO, 2018)