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You can also specify multiple EEG data files to
be processed through your analysis pipeline. SIGNAL PROCESSOR is optimized
to automatically and quickly process large amounts of data.
SIGNAL PROCESSOR contains functions that allow you to:
- Re-reference your data, using either monopolar
or bipolar references.
- Automatically detect and label different types
of artifact contaminants in the data.
- Perform spatial enhancement including spatial
filtering, Current Source Density (Laplacian) estimation, and DEBLURRING.
- Remove offsets and normalize your data.
- Filter data in the temporal domain.
- Compute power spectra.
- Generate epoched data from continuous data.
- Average data to produce event-related potentials
or compute grand averages of ERP data or power spectra.
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