Identify artifacts in EEG data by hand by using different automatic artifact rejection procedures. The goal is remove large artifacts from the EEG data without removing too much of the data.
Associated Multimedia Tools: Pre-processing: Artifact Rejection and Correction
Baseline Correction, Segmenting/Epoching, and Binning/Categorizing Trials
Step-by-step protocol for segmenting EEG data using EEGlab/ERPlab
Artifact Rejection: ICA (forthcoming)
Averaging and Grand Averages Waveform Quantification