Chapter 7: Preprocessing Steps Necessary and Useful for Advanced Data Analysis
This chapter goes over the basics of preprocessing your data before full analysis
7.1 What is Preprocessing?
Preprocessing refers to any transformations or reorganization that occurs between data collection and data analysis. This can include organizing data into epochs, removing bad data or filtering out noise.
Be sure to record all steps you take during this process, so anyone can recreate your preprocessed data again from the source raw data!
7.2 The Balance between Signal and Noise
While sometimes noise is obvious and can easily be removed (such as in large noise spikes), often one has to compromise between maximizing signal retention and minimizing noise as they are often mixed in EEG data.
There is no one size fits all process, sometimes one scientist's noise is another's data.
7.3 Creating Epochs