[Eeglablist] selecting bad channel

[Makoto Miyakoshi]

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
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