[Eeglablist] selecting bad channel

Makoto Miyakoshi mmiyakoshi at ucsd.edu
Mon Mar 10 22:06:22 PDT 2014


Frank, that's a very good point.

Check out my plugin trimOutlier. With this tool you can do a simple sanity
check with your *continuous data* in channels only in 5 sec (all channels &
all datapoints), and simple trimming interactively in the next 10 sec if
necessary. I updated it last week, and hopefully it's now more useful.
http://sccn.ucsd.edu/wiki/Plugin_list_process

For more sophisticated *continuous data* cleaning, check out clean_rawdata.
This one is very powerful and fully automatic (credited to Christian Kothe).

Makoto


2014-03-08 4:35 GMT-08:00 Frank Preston <ffpresto at uwaterloo.ca>:

>  Hi Makoto,
>
>  I like the idea of checking my channel data, not necessarily for channel
> deletion, but as a way to gain a full understanding of our data. Would you
> do this check using EEG.data for each channel? Or should I look in a
> different data-store?
>
>  Thanks,
>   .. Frank
>
>
> --
> *Frank Preston*
> Psychophysiology Lab Technician          University of Waterloo
> PAS 2270, Psychology Department        200 University Ave. W.
> Phone: 519-888-4567 x 38976               Waterloo, Ontario, N2L 3G1
>  ------------------------------
> *From:* eeglablist-bounces at sccn.ucsd.edu [eeglablist-bounces at sccn.ucsd.edu]
> on behalf of Makoto Miyakoshi [mmiyakoshi at ucsd.edu]
> *Sent:* March 6, 2014 9:30 PM
>
> *To:* Iman M.Rezazadeh
> *Cc:* EEGLAB List
> *Subject:* Re: [Eeglablist] selecting bad channel
>
>   Dear Iman,
>
>  There are two types of bad channels: crazy (10000 uV) or dead (0 uV).
> After highpass & lowpass filtering, you can simply calculate standard
> deviation across time for each channel (if the channel is more or less
> stationary).
>
>  If I have >100 channels I would not be afraid of false negative and
> discard channels generously.
>
>  Makoto
>
>
> 2014-03-06 14:03 GMT-08:00 Iman M.Rezazadeh <irezazadeh at ucdavis.edu>:
>
>>  So what is your strategy to reject channels?
>>
>>
>>  Sent from my Verizon Wireless 4G LTE smartphone
>>
>>
>>
>>
>> -------- Original message --------
>> From: Makoto Miyakoshi
>> Date:03/05/2014 11:41 (GMT-08:00)
>> To: "Iman M.Rezazadeh"
>> Cc: EEGLAB List
>> Subject: Re: selecting bad channel
>>
>> I never use EEGLAB's automatic channel rejection because it usually
>> rejects more than I need to.
>>
>>  Makoto
>>
>>
>> 2014-03-05 11:31 GMT-08:00 Iman M.Rezazadeh <irezazadeh at ucdavis.edu>:
>>
>>>  By looking at data ...in my point of view sometimes stats cannot show if
>>>  a channel is good or bad
>>>
>>>
>>>
>>> *From:* Makoto Miyakoshi [mailto:mmiyakoshi at ucsd.edu]
>>> *Sent:* Wednesday, March 5, 2014 10:12 AM
>>> *To:* Iman M.Rezazadeh
>>> *Cc:* EEGLAB List
>>> *Subject:* Re: selecting bad channel
>>>
>>>
>>>
>>> Dear Iman,
>>>
>>>
>>>
>>> Select data -> select by channels. I don't know though how you judge
>>> them 'bad'.
>>>
>>>
>>>
>>> Makoto
>>>
>>>
>>>
>>> 2014-03-05 1:08 GMT-08:00 Iman M.Rezazadeh <irezazadeh at ucdavis.edu>:
>>>
>>>  Hi EEGLABERS,
>>>
>>> Could you please let me know if there is anyway on GUI to select a
>>> subset of bad channels (not all) after doing 'automatic channel rejection'
>>> ?
>>>
>>> CIAO
>>>
>>> Iman
>>>
>>>
>>>
>>> *-------------------------------------------------------------*
>>>
>>> *Iman M.Rezazadeh, Ph.D*
>>>
>>>
>>>
>>> Postdoctorocal Research Fellow
>>>
>>> Semel Intitute, UCLA , Los Angeles
>>>
>>> & Center for Mind and Brain, UC DAVIS, Davis
>>>
>>>
>>>
>>> Mob.: 310-490-1808
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>> --
>>>
>>> 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
>>
>
>
>
>  --
> 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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