[Eeglablist] about the notch filter in function pop_eegfilternew()

[Makoto Miyakoshi]

Dear Hui-bin,

I agree with Ramon. Your first choice should be CleanLine.
However, from my experience I know if 50/60Hz artifact is too large,
CleanLine does not work well. In this case you may want to use filter. You
can use a notch filter as you described, but I would rather apply a simple
low-pass filter to simplify data.

Another tip: you can design a filter from "sinc...." menu to make the
filter cut-off slope steep so that when you cut off 50Hz you can set 49Hz
as a -6dB cut-off point with transition bandwidth of 2Hz (which makes freq
response flat up to 48Hz, if I understand it correctly) for example. See
below for details.
http://sccn.ucsd.edu/wiki/Firfilt_FAQ

Makoto

On Mon, Nov 24, 2014 at 1:30 PM, Ramón Martinez <nucleuscub at gmail.com>
wrote:

> Hi Hui-bin Jia,
>  Notch filtering is not the best way to go with this. I think it would be
> better to use the Cleanline plugin in this case. This plugin by Tim Mullen
> was specially designed for this purpose. You can check it out here:
>  http://www.nitrc.org/projects/cleanline
>  Best,
>  Ramon
>
> On Mon, Nov 24, 2014 at 7:49 AM, Hui-bin Jia <420247417 at qq.com> wrote:
>
>> Hi, all
>>      My EEG data were contaminated by the 50 Hz electrical noise. Could
>> the  pop_eegfilternew() in EEGLAB be used to eliminate this noise‍?
>>     For ' Lower edge of the frequency pass band (Hz)', '45' was entered;  For
>> ' Higher edge of the frequency pass band (Hz)', '55' was entered; And use '
>> Notch filter the data instead of pass band' . ‍
>>    Am I right doing in this way?‍
>>    Thank you !
>>
>> Hui-bin Jia
>>
>>
>>
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>
>
>
> --
> _____________________________________________________
> Ramon Martinez-Cancino
> Swartz Center for Computational Neuroscience
> Institute for Neural Computation, University of California San Diego
>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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