[Eeglablist] Clean_drifts HPF
Clement Lee
cll008 at eng.ucsd.edu
Tue Mar 9 09:35:42 PST 2021
Dear Velu,
If you apply the default [0.25 0.75] transition band, is low-frequency
drift completely removed? It's possible that your low frequency drift is a
higher frequency than your 0.8 Hz SSVEP response...
Best,
Clement Lee
Applications Programmer
Swartz Center for Computational Neuroscience
Institute for Neural Computation, UC San Diego
858-822-7535
On Tue, Mar 9, 2021 at 9:13 AM Velu Prabhakar Kumaravel <
velu.kumaravel at unitn.it> wrote:
> Hello,
>
> I have SSVEP data with a target frequency of 0.8 Hz. I attempt to clean
> artefacts using the clean_rawdata plugin (ASR). I have the following
> questions regarding the clean_drifts High-Pass Filter:
>
> 1) The default transition bandwidth is [0.25 and 0.75] Hz. Since I have the
> SSVEP response at 0.8 Hz, this setting cannot be applied. I tried changing
> the values with a steeper transition but the low-frequency drifts still
> remain in the data. Is there any recommendation on the possible transition
> band, which might work in my case?
>
> 2) Would it make any significant difference using rather the default EEGLAB
> HPF from the perspective of ASR cleaning?
>
> EEG = pop_eegfiltnew(EEG, [], 0.1, 33000, true, [], 1) %EEG.state = 1000
>
> My objective is to do everything that favours efficient artefacts removal
> by ASR.
> Any hints/suggestions are greatly appreciated. Thank you.
>
>
> Sincerely,
>
> Velu Prabhakar Kumaravel, PhD Student
> Center for Mind/Brain Sciences,
> University of Trento, Italy
> _______________________________________________
> Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
> To unsubscribe, send an empty email to
> eeglablist-unsubscribe at sccn.ucsd.edu
> For digest mode, send an email with the subject "set digest mime" to
> eeglablist-request at sccn.ucsd.edu
>
More information about the eeglablist
mailing list