[Eeglablist] Filter causality pop_eegfiltnew

Vito de Feo vito.defeo at zmnh.uni-hamburg.de
Sun Jan 19 12:08:11 PST 2014


  Dear all,

sorry if I write again. I am very interested to know better SIFT!

I have understood that the stability test includes also the stationarity
test. So sorry for my prevoius question.
Now I am trying to understand if SIFT uses a multitrial approch or a single
trial approach. I guess that if the signal is not epoched it use a single
trial approach.

Now I have problems with the consistency (I attach two pictures). The
consistency is very low as you can see. What can I do? Should I increase
the model order or should I decrease the moving windows length? (now it is
1.5 s, I could decrese to 0.5 s beacuse the signal is strongly not
stationary).

Thank you!

Vito 

Quoting Andreas Widmann <widmann at uni-leipzig.de>:

> Dear all,
>    
>   not directly related to your question and SIFT, but eegfilt is
> deprecated and I would recommend not using it any longer.
>    
>   Best,
>   Andreas
>
> Am 18.01.2014 um 15:47 schrieb "jfochoaster ." <jfochoaster at gmail.com>:
>  
>
>> Hello all,
>>  
>> I'm following the SIFT tutorial, the section 6.5.1.3 is about
>> filtering, talk about eegfilt, about the zero-phase (acausal) filter
>>  
>> Is better forget this section of filtering and use the recommendations
>> in the past emails?
>>  
>>       Are these recommendation critical for the analysis?, I mean,
>> there is a lot of work about MVAR models in ECoG data
>>        
>> Best wishes
>>  
>> John
>>
>>
>>      On Fri, Jan 17, 2014 at 11:05 PM, mullen.tim at gmail.com
>> <mullen.tim at gmail.com> wrote:
>>
>>> 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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>>
>> --
>> John Ochoa
>> Docente de Bioingeniería
>> Universidad de Antioquia



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