[Eeglablist] Deleting a bad channel

[Tarik S Bel-Bahar]

Hi Juan,
Hope this helps a little.
I would suggest you make sure you have already loaded in your channel
locations, and that EEGLAB has accepted them. After that save the file.
After that delete one or channel or more via Edit/Select Data
which allows removal of one or more channels. If you type eegh after using
the command, then you can use that in your script for any bad channels you
have identified. Note that you should resave the file at each step to make
sure that your changes are saved, and that once you remove a channel,
eeglab shifts or changes the labels/numbers of the channels. You can
however always find the original order in ur.channels.






On Wed, Nov 13, 2013 at 12:03 PM, Juan P Medrano <jpt73 at wildcats.unh.edu>wrote:

>  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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