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Chunk #21 — 2. The MNE-Python standard workflow for M/EEG data analysis — 2.3. Preprocessing

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MEG and EEG data analysis with MNE-Python.
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When segmenting continuous data into epochs, single epochs can be rejected based on visual inspection, or automatically by defining thresholds for peak-to-peak amplitude and flat signal detection. The channels contributing to rejected epochs can also be visualized to determine whether bad channels have been missed by visual inspection, or if noise rejection methods have been inadequate.