[Eeglablist] Blinking noise reject on prefrontal electrodes

[Brigitte Aguilar Gonzales]

Thank you all for your answers. Yes, I mean exactly that, eyeblink
artifacts. For what I'm researching and from your answers, elimination of
data portions with eyeblink artifacts seems to be the only feasible option
with so few channels. I've come across a novel metod to achieve this that
uses Multi-window Summation  of Derivatives within a Window (MSDW). I'll
investigate this possibility further. Thank you all again.

Best wishes
Brigitte Aguilar
LIRINS, (Rehabilitation Engineering and Neuro-Sensorial Investigation
Laboratory) Engineering School of the Universidad Nacional de Entre Ríos

El sáb., 2 de may. de 2020 a la(s) 17:50, Scott Makeig (smakeig at gmail.com)
escribió:

> By 'the blinking noise' I take you to mean eyeblink artifacts. With only
> two channels, spatial ICA decomposition can be of little use (though an
> *advanced* exploration could be to apply multi-model AMICA decomposition
> with many models). You will have to identify the blink events in the data
> and remove them -- I might try to locate eyeblinks visually, then average
> blink-locked epochs to create a time-locked eyeblink artifact template to
> use for automated eyeblink detection and regression.
>
> Scott Makeig
>
> On Fri, May 1, 2020 at 7:47 AM Brigitte Aguilar Gonzales <
> aguilarbrigitte277 at gmail.com> wrote:
>
>> Hi all,
>> I'm working on characterizing the EEG signal during tasks that involve
>> attention. For this I've recorded EEG signals from prefrontal electrodes
>> (Fp1 and Fp2), however the blinking noise is an important problem that I
>> have not yet been able to solve, since I found that running ICA for this
>> particular setup is not recommended, due to the small number of channels.
>> I
>> wanted to know if there is someone who is working with similar signals and
>> who can guide me since I do not have enough experience working with only
>> two electrodes. My goal is to be able to eliminate blinking noise online
>> since I need this in the implementation of a BCI for cognitive
>> rehabilitation.
>>
>> Thank you very much in advance for your attention and help.
>>
>> Brigitte Aguilar
>> LIRINS, (Rehabilitation Engineering and Neuro-Sensorial Investigation
>> Laboratory) Engineering School of the Universidad Nacional de Entre Ríos
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>
>
> --
> Scott Makeig, Research Scientist and Director, Swartz Center for
> Computational Neuroscience, Institute for Neural Computation, University of
> California San Diego, La Jolla CA 92093-0559, http://sccn.ucsd.edu/~scott
>