[Eeglablist] EGI under windows
philip grieve
pgg3 at columbia.edu
Wed Feb 27 05:01:09 PST 2008
You have to be careful here - the file Exporter gives you all the files you
need for MATLAB purposes automatically - if you hold down the Apple key (or
the Windows equivalent) you will get files suitable for MATLAB processing
including the EEG data (.raw), the calibration files (.zero and .gain),
electrode impedance file (.imp)and the file containing stimulus timing
(.hist) - all these will be needed for processing ERP data using MATLAB -
and one should remember that the stim timing tracking are interleaved into
the .raw file EEG data so when you deinterleave this file you have to
account for the number of stim tracks ("Events" in the .raw file header
data). It is not clear that all of these files are correctly obtained using
the Netstation Waveform Tools option.
-----Original Message-----
From: eeglablist-bounces at sccn.ucsd.edu
[mailto:eeglablist-bounces at sccn.ucsd.edu] On Behalf Of E Milne
Sent: Tuesday, February 26, 2008 11:59 AM
To: Sergey Borisov
Cc: eeglablist at sccn.ucsd.edu
Subject: Re: [Eeglablist] EGI under windows
The file you need to create has the extension .RAW. You can do this via file
export in waveform tools (netstation). .RAW files are then easily loaded
into eeglab. Alternatively you can export the netstation recording to a
matlab file, although in my experience this creates a much larger file than
the .raw, so may not be optimal if you have large data sets.
Best,
Elizabeth
Quoting Sergey Borisov <basirov at mail.ru>:
>
> Hi Gregor,
>
> You can export the data to matlab format first. It can be easily done
> in Net Station, just read the documentation from EGI, it should be
> described there.
>
> Best,
> Sergey
>
> >
> > Dear colleagues, we are collecting EGI data with a ApplePower mac.
> > Now, we
> would like to analyze the data under windows in EEGlab. But there are
> problems, because the file-extension of the raw EGI data are not
> detected by EEGlab. Your help is highly appreciated. Thanks a lot in
> advance.Gregor
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