Hey folks! This tutorial is for the basic preprocessing steps you need to follow in order to end up with cleaned EEG signals. We delve into the core preprocessing techniques, including data importing, referencing, filtering and artifact removal. Step by step, we demonstrate how to load raw EEG data into EEGLAB, visually inspect the data for artifacts, and perform artifact removal techniques such as Independent Component Analysis (ICA) to separate brain-related signals from noise and artifacts. You will also learn how to apply various filters to remove unwanted frequency components, and how to properly reference your data to minimize common noise sources.
I hope you enjoyed it...
Until next time take care and have fun!
Manos