Best Practices in EEG Analysis: Preprocessing, Modeling, and Machine Learning
Electroencephalography (EEG) analysis requires careful choices in preprocessing, statistical modeling, and machine learning because EEG signals are highly susceptible to artifacts, volume conduction, low signal-to-noise ratio, and substantial inter-subject variability. This chapter provides a practical and methodologic...
Parsa Razmara, Woojae Jeong, Aditya Kommineni et al.
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