Fieldtrip preprocessing

1. What is EEG preprocessing?
2. How do you preprocess EEG data?
3. Why do we perform segmentation of continuous EEG raw data?
4. What is Field Trip data source?

What is EEG preprocessing?

In general, preprocessing is the procedure of transforming raw data into a format that is more suitable for further analysis and interpretable for the user. In the case of EEG data, preprocessing usually refers to removing noise from the data to get closer to the true neural signals.

How do you preprocess EEG data?

The following steps are taken in the EEG section of the tutorial:

1. Define segments of data of interest (the trial definition) using ft_definetrial.
2. Read the data into Matlab using ft_preprocessing.
3. Clean the data in a semi-automatic way using ft_rejectvisual.
4. Compute event-related fields using ft_timelockanalysis.

Why do we perform segmentation of continuous EEG raw data?

Segmenting continuous data into one-second pieces

For processing of continuous data without triggers it is convenient to cut the data into constant-length pieces. This can be done while reading the data from disk, or it can be done after the complete continuous data is in memory.

What is Field Trip data source?

This paper describes FieldTrip, an open source software package that we developed for the analysis of MEG, EEG, and other electrophysiological data. ... The implementation as toolbox allows the user to perform elaborate and structured analyses of large data sets using the MATLAB command line and batch scripting.