[Eeglablist] clean_rawdata

[Makoto Miyakoshi]

Dear Tyler,

It uses PCA for decomposition, and eye blinks tend to have high and often
the highest amplitude among other sources, that is why... actually I wish
it does not remove eye blinks because I want to let ICA take care of it.
Anyways I'm happy that you like it. I've also heard other users really like
it too. When I heard the idea of this approach from Christian I was deeply
impressed and thought that this is going to be the champion method.

By the way I've heard the report that pop_rejcont() has a problem and when
it causes errors clean_rawdata() falls back to its own function and reject
data and delete event info. Ramon fixed it today and updated EEGLAB, so I
strongly recommend you update EEGLAB. When you need to use the older
version of EEGLAB, carefully watch the log. The pop_rejcont() error occurs
only when the last datapoint is selected for rejection (or something
similar). Again, now it is fixed though.

Makoto

On Wed, Oct 1, 2014 at 4:49 PM, Tyler Grummett <
tyler.grummett at flinders.edu.au> wrote:

>  Thank you to both of you.
>
>  The function is awesome, it's really good at getting rid of eye blinks.
> Is that by design? Or a very convenient coincidence? Haha
>
>  Thanks again.
>
>  Tyler
>
> Sent from my iPhone
>
> On 2 Oct 2014, at 7:40 am, Makoto Miyakoshi <mmiyakoshi at ucsd.edu> wrote:
>
>   Thanks Christian.
>
>  Makoto
>
> On Wed, Oct 1, 2014 at 2:56 PM, Christian Kothe <christiankothe at gmail.com>
> wrote:
>
>> Hi Tyler and Makoto,
>>
>>  yes this is a zero-phase and non-causal FIR filter. Note that you can
>> disable it and perform your own drift correction if you are concerned about
>> any issues with information flow analysis.
>>
>>  Best,
>> Christian
>>
>> On Tue, Sep 30, 2014 at 7:03 PM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
>> wrote:
>>
>>> Dear Tyler and Christian,
>>>
>>>  Theoretically yes, as it most likely uses zero-phase non-causal filter
>>> i.e. a spike like a needle will be decomposed into a triangle, the left
>>> half of which is 'information from the future'. Tim recommends slope fit
>>> and subtract solution he supports in SIFT (that's for high-pass; for
>>> low-pass, use cleanline).
>>>
>>>  Christian, is clean_rawdata high-pass filter zero-phase and
>>> non-causal? Or was it zero-phase and causal?
>>>
>>>  Makoto
>>>
>>> On Tue, Sep 30, 2014 at 5:37 AM, Tyler Grummett <
>>> tyler.grummett at flinders.edu.au> wrote:
>>>
>>>> Hello eeglabers, specifically makoto,
>>>>
>>>> I was just wondering if you used the 'initial high pass filter' in the
>>>> function clean_rawdata, would it interupt connectivity analyses?
>>>>
>>>> Tyler
>>>>
>>>> Sent from my iPad
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>>>
>>>
>>>
>>>   --
>>> 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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