Frontiers A Channel Rejection Method for Attenuating Motion-Related Artifacts in EEG Recordings during Walking

Differentiation in Theta and Beta Electrocortical Activity between Visual and Physical Perturbations to Walking and Standing Balance

IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removal - ScienceDirect

Removal of Movement Artifact From High-Density EEG Recorded During Walking and Running

IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removal - ScienceDirect

Adaptive optimal basis set for BCG artifact removal in simultaneous EEG-fMRI

Frontiers Optimal Multichannel Artifact Prediction and Removal for Neural Stimulation and Brain Machine Interfaces

PDF) A walk in the park? Characterizing gait-related artifacts in mobile EEG recordings

The BeMoBIL Pipeline for automated analyses of multimodal mobile brain and body imaging data

Removal of Movement Artifact From High-Density EEG Recorded During Walking and Running

The BeMoBIL Pipeline for automated analyses of multimodal mobile brain and body imaging data

Frontiers Methods for motion artifact reduction in online brain-computer interface experiments: a systematic review