[Eeglablist] slow frequency drift
mmiyakoshi at ucsd.edu
Fri Jan 24 14:09:59 PST 2014
Actually, if you are using the latest version of the EEGLAB, you should
have a plugin manager... check your leftmost tab and near bottom items in
EEGLAB main GUI. If you do have it I recommend you stick to it (you should
be able to find SIFT in the plugin list you can automatically download and
set up) and don't edit your plugin folders yourself (which can cause minor
2014/1/24 Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
> Dear Eduardo,
> Download Cleanline (not clean_rawdata) from here. It's written by Tim
> Mullen, the author of SIFT.
> 2014/1/23 Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
>> Dear Eduardo,
>> For line noise, use CleanLine.
>> For slow frequency drifting, you may either 1Hz high-pass (make sure you
>> are using the latest EEGLAB since filter function underwent major update
>> between 11 and 12) or linear detrending that you can use as a proprocess
>> for SIFT by Tim Mullen. These methods don't reject datapoints.
>> clean_rawdata also has a high-pass. You may want to try more aggressive
>> parameters. ASR is not much for baseline drift correction.
>> 2014/1/22 eduardo schenberg <edueeg at gmail.com>
>>> Hello all
>>> I used ICA to remove line noise and movement artifacts from my
>>> continuous data, but some slow frequecny drifts are still present and
>>> clearly visible on the tracings, also affecting yhe spectrum at these freqs
>>> I already tried the "clean_rawdata" plugin to remove these drifts, but
>>> it seemed to also affect (unfortunately) alpha oscillations
>>> Is there any other options to correct these drifts (without deleting
>>> data segments) that any of you would recommend?
>>> many tks
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>> Makoto Miyakoshi
>> Swartz Center for Computational Neuroscience
>> Institute for Neural Computation, University of California San Diego
> Makoto Miyakoshi
> Swartz Center for Computational Neuroscience
> Institute for Neural Computation, University of California San Diego
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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