[Eeglablist] Question regarding reference channel (Makoto's Preprocessing Pipeline)

[Mahjabeen Rahman]

Quoting you, "but REF is only 0 when you are actually referenced to it "

 As there's no reference channel, neither during recording nor when I import data to EEGLAB. The REF channel is only on the cap. So in my case,  the reference channel should be actually 0 then, if I understand your point correctly.

I am computing average reference by going edit => rereference => compute average. Or should I do something else for full rank average ?


Thanks much.
Mahjabeen
________________________________
From: Clement Lee <cll008 at eng.ucsd.edu>
Sent: Thursday, March 12, 2020 1:21 PM
To: Mahjabeen Rahman <mahjabeen.rahman at Knights.ucf.edu>
Cc: eeglablist at sccn.ucsd.edu <eeglablist at sccn.ucsd.edu>
Subject: Re: [Eeglablist] Question regarding reference channel (Makoto's Preprocessing Pipeline)

Hi Mahjabeen,

It's 64 for built-in EEGLAB processing and 65 for full rank average referencing. GND is always 0 (even if you rereference), but REF is only 0 when you are actually referenced to it (and becomes non-zero if you rereference to any other montage).

Best,
Clement Lee
Applications Programmer
Swartz Center for Computational Neuroscience
Institute for Neural Computation, UC San Diego
858-822-7535


On Thu, Mar 12, 2020 at 12:32 AM Mahjabeen Rahman <mahjabeen.rahman at knights.ucf.edu<mailto:mahjabeen.rahman at knights.ucf.edu>> wrote:
Hi everyone,

I am confused about one issue regarding my reference channel. I am recording data with Cognionics Mobile 64 channel device. So there are two zero-filled channels on the cap I am using called "REF" and "GND" near the mastoid region which never show up during the recording. When I import the raw data to eeglab, it shows no reference channel, only 64 channels show up. I am not sure, how I will apply average referencing here. Should I have to worry about the denominator here? Should it be 64 or 66 (considering the two zero-filled channels).

Would appreciate any help on this.

Thanks,
Mahjabeen Rahman
PhD Student
Industrial Engineering & Management Systems
University of Central Florida
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