[Eeglablist] Deleting a bad channel

Arnaud Delorme arno at ucsd.edu
Wed Nov 20 09:10:41 PST 2013


Dear Paolo,

another option is to "append" a new channel in the channel editor and give it a name.
This way, you will have 129 channels in your channel location definition and EEGLAB will not complain.
If the number do not match, EEGLAB is confused and removed the channel information.

Arno

On Nov 16, 2013, at 2:57 PM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu> wrote:

> Juan, my guess is that you are deleting channel from channel location editor. You should use 'Tools' - 'select data' - .... to select a channel to remove.
> 
> Makoto
> 
> 
> 2013/11/13 Juan P Medrano <jpt73 at wildcats.unh.edu>
> Good morning everyone,
> 
> I'm a new graduate student trying to get the hang of working with eeglab. I'm currently working on cleaning up some datasets, and I've been taught a few basics on processing and epoching datasets, performing some visual artifact rejection, etc. There's a dataset that obviously has a bad channel that runs throughout the dataset and I would like to remove it in order to have some data that can be worked with. I thought that by following the tutorial, it would be a simple matter of finding the bad channel, deleting it, and saving the file would give me what's needed, but I get this message when I do:
> 
> "The number of data channels (128) not including fiducials does not correspond to the initial number of channels (129), so for consistency purposes, new channel information will be ignored if this function was called from EEGLAB. If you have added a reference channel manually, check the "Data channel" checkbox is off."
> 
> It gives me an option to say yes or cancel. I click yes on this, and when I check the channel scroll data, the channel that I thought I had deleted is still present. 
> 
> Thanks for the taking the time to answer this question, any help is greatly appreciated.
> 
> -Paolo Medrano
> University of New Hampshire
> 
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> 
> -- 
> Makoto Miyakoshi
> Swartz Center for Computational Neuroscience
> Institute for Neural Computation, University of California San Diego
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