Drift and filtering
Drift scoring, linear detrend, polynomial detrend, moving-median detrend, optional high-pass preview, before/after trace, PSD comparison, and parameter recording.
Preprocess Signal
Preview bad-channel, drift, re-reference, ASR, and ICA workflows locally before using processed sources in analysis.
Preprocessing in EEG TraceLab is designed as a local research preparation workflow. Raw EDF samples remain immutable; processed runs are derived local signal state with warnings, parameters, and provenance.
Prepare workflow
Users can mark bad channels manually with notes and reasons, then review suggested bad channels as signal-quality cues before applying decisions.
Preview effects
Preprocess Signal exposes before/after context for drift, detrending, high-pass preview, re-reference choices, ASR, and ICA.
Drift scoring, linear detrend, polynomial detrend, moving-median detrend, optional high-pass preview, before/after trace, PSD comparison, and parameter recording.
Preview keep current/no change, common average, selected reference channels, and linked/custom reference pairs when labels exist.
ASR and ICA
ASR and ICA are presented as cautious local research workflows, not automatic cleaning or interpretation.
Clean calibration segment suggestion, manual calibration selection, calibration covariance, sliding-window covariance/PCA high-variance subspace identification, affected-window table, reconstructed component counts, and rank warnings.
Deterministic FastICA-style decomposition, component time series, spectra, variance contribution, component topography when positions exist, manual component exclusion, convergence diagnostics, and preview reconstruction.
Raw vs Processed
Changing the data source marks existing results dirty and asks for Compute / Recompute before long processed-source work starts. Cancel keeps previous results visible and does not create a processed run or mutate raw EDF data.