Preprocessing#
Examples related to data preprocessing (artifact detection / rejection etc.)
Cortical Signal Suppression (CSS) for removal of cortical signals
Define target events based on time lag, plot evoked response
Identify EEG Electrodes Bridged by too much Gel
Transform EEG data using current source density (CSD)
Reduce EOG artifacts through regression
Find MEG reference channel artifacts
Visualise NIRS artifact correction methods
Compare the different ICA algorithms in MNE
Interpolate bad channels for MEG/EEG channels
Maxwell filter data with movement compensation
Annotate movement artifacts and reestimate dev_head_t
Removing muscle ICA components
Plot sensor denoising using oversampled temporal projection
Shifting time-scale in evoked data