Tutorial 11: Bad channels [Under construction]

Authors: Francois Tadel, Elizabeth Bock, Sylvain Baillet

It is common during the acquisition to have a few sensors that are recording values that will not be usable in the data analysis. In MEG, a sensor can damaged or unstable. In EEG, the quality of the connection between the electrode and the subject scalp is sometimes too low to record anything interesting.

It is important to identify the sensors with poor signal quality at an early stage of the pre-processing, because the efficiency of the artifact removal will depend on it. If you try to remove blink and cardiac artifacts with some bad sensors it may not work very well, and worse, it will propagate the bad signals to all the channels.

This tutorial will explain the various ways we have to handle the bad channels. The recordings from this auditory experiment do not contain any bad channel, therefore this tutorial is optional. If you are not interested in learning about bad channels manipluation, you can skip it and will still be able to follow the next tutorials.

From auditory

Bad channels

From CTF

Bad channels

If you find out that a sensor has unexpected values, that are not coherent with the other surrounding sensors, you can choose to ignore it in the displays and in the source estimation process. In the channel file, each channel has a flag which indicates if it is good or bad. You may also import recordings files that already have some bad channels defined.

ADD BAD CHANNEL MONTAGE

Website feedback:

Comments: Bad channels
- Get the channels back
-- Note that if you click on a row in this window, it will select the
corresponding channel in the time series and topography figures.
--> This seems not work. I am using Brainstorm(3-Mar-2015)/Matlab_R2014a/Yosemite 10.10.2








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Tutorials/BadChannels (last edited 2015-07-08 22:32:09 by FrancoisTadel)