[Eeglablist] Artifact Subspace Reconstruction (ASR)

Makoto Miyakoshi mmiyakoshi at ucsd.edu
Thu Oct 16 19:58:32 PDT 2014


That makes perfect sense to me Christian. Thanks! It is very informative.

Makoto

On Thu, Oct 16, 2014 at 4:25 PM, Christian Kothe <christiankothe at gmail.com>
wrote:

> Hi Bryce,
>
> there is no serious need to adjust any parameter for low-density systems
> this one.
>
> However, if you enjoy tuning things, there is a limit on what number of
> artifact components it will maximally remove at a given time point, and
> that number is a fraction of the number of channels (MaxDimensions in
> clean_asr, default 0.66). So for your 11 channels that's 7 components. If
> you work in a situation where you face more simultaneous artifacts than
> that (e.g., muscle groups) and you absolutely have to remove all of them,
> then you may increase that number. However, note that if you remove 7
> degrees of freedom from your data and have 4 left, you will end up with a
> rather impoverished EEG segment in any case (rank-deficient); for offline
> analysis is might be better to have such bad windows removed from the data
> altogether and therefore leave that setting at its defaults -- the
> clean_rawdata plugin will by default remove incompletely repaired windows
> in a final post-process.
>
> Christian
>
> On Thu, Oct 16, 2014 at 4:12 PM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
> wrote:
>
>> Dear Christian,
>>
>> Should clean_rawdata parameter adjusted from default if you have only 14
>> channels?
>>
>> Makoto
>>
>> On Wed, Oct 15, 2014 at 10:13 PM, bpm at uvic.ca <bpm at uvic.ca> wrote:
>>
>>> Greetings,
>>>
>>> I am looking at low-density (11 scalp channels, 3 ocular channels)
>>> resting EEG recordings for a longitudinal study. I have been experimenting
>>> with the Artifact Subspace Reconstruction extension for cleaning my data,
>>> which seems to be working well enough using the default input parameter
>>> settings. I cannot find any documentation for ASR and was wondering if
>>> perhaps I should be tweaking the input settings because of my low-density
>>> array.
>>>
>>> Thank you for any responses!
>>>
>>> -Bryce.
>>>
>>> --
>>> Bryce P Mulligan
>>> Clinical Neuropsychology Doctoral Student
>>> Neuropsychology & Rehabilitation Laboratory
>>> Department of Psychology
>>> P.O. Box 1700 STN CSC
>>> University of Victoria
>>> Victoria BC Canada V8W 2Y2
>>> 250-472-4194
>>> bpm at uvic.ca
>>>
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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
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