[Eeglablist] Filter causality pop_eegfiltnew

mullen.tim at gmail.com mullen.tim at gmail.com
Fri Jan 17 20:05:15 PST 2014


Oh thats interesting. I had not seen Anil's multitaper filter (might be fairly recent). But possibly it is exactly the same approach that is in Cleanline. If this is the method advocated by Mitra and Pesaran as in the Chronux toolbox then indeed its the same. And highly recommended. 
-----Original Message-----
Date: Friday, January 17, 2014 1:21:30 pm
To: mullen.tim at gmail.com
Cc: trotta_gabriele at yahoo.com, drcoben at gmail.com, mmiyakoshi at ucsd.edu, widmann at uni-leipzig.de, eeglablist at sccn.ucsd.edu
From: "Vito De Feo" <vito.defeo at zmnh.uni-hamburg.de>
Subject: Re: [Eeglablist] Filter causality pop_eegfiltnew

Before using the Cleanline (that I used today for the first time) I did't use the notch filter, I used a multi taper filtering made by Anil Seth. I know that filtering is very bad for later VAR modeling, especially notch and high pass. Low pass is better (usually I use multi taper filtering to remove the noise lines and a low pass causal filter with cut off filtering of 100 Hz).
Do you think is ok Tim?
Best
Vito 


Il giorno 17/gen/2014, alle ore 20:53, mullen.tim at gmail.com ha scritto:

> Do not notch filter your data! This can be very bad for later VAR modeling -- and IMO bad in general. You can use an adaptive spectral regression method such as that in the Cleanline plugin for eeglab to remove line noise.
> 
> See Barnett and Seth 2011 and Mitra and Pesaran 1999 for theoretical discussions. 
> 
> Rob, there is no video of the SIFT workshop but the lecture pdfs are online at the eeglab workshop page. 
> 
> Tim 
> -----Original Message-----
> Date: Friday, January 17, 2014 10:18:32 am
> To: "



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