Best Practices in EEG Analysis: Preprocessing, Modeling, and Machine Learning
This chapter provides a practical and methodological guide to modern EEG analysis, spanning EEG preprocessing, artifact removal, filtering, bad-channel detection and interpolation, re-referencing, independent component analysis (ICA), and preprocessing of simultaneous EEG-fMRI recordings.
Parsa Razmara, Woojae Jeong, Aditya Kommineni et al.
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