[Eeglablist] Electrical noise removal in intraoperative EEG data

[Makoto Miyakoshi]

Dear Heiko,

Sorry for belated response.
Hmm with only two channels there is not much reasonable solutions.
clean_rawdata() uses assumptions of channel locations and power-spectrum
density at some points, so I wonder if it is valid to use it here. It uses
PCA anyway, so having only two channel makes it less convincing solution
(so is ICA).

Perhaps there are ways to remove artifacts and noises in the time domain
(using AR model etc), but I don't know these techniques very well. We
always take advantage of data being multivariate.

Makoto



On Tue, Mar 14, 2017 at 5:54 AM, Kaiser, Heiko <Heiko.Kaiser at insel.ch>
wrote:

> Dear all
>
>
>
> We recorded approximately 500 intraoperative EEGs during cardiac surgery
> at 128Hz, two frontal channels only.
>
> As expected, we do have quite some artefacts, especially from surgical
> cautery.
>
>
>
> Does anyone know a good approach to filter this electrical noise with
> eeglab?
>
>
>
> Any advice would be greatly appreciated.
>
>
>
> Thanks, and best regards,
>
>
>
> Heiko
>
>
>
>
>
> --------------------------------------------
>
> Heiko Kaiser, MD, DESA
>
> Division of Cardiovascular Anesthesia
>
> Dept. of Anesthesiology and Pain Therapy
>
> University Hospital Bern, Inselspital
>
> Freiburgstrasse, 3010 Bern, Switzerland
>
>
>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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