[Eeglablist] EEGLABTOOL PREPROCESSING

Soniya Usgaonkar soniya at gec.ac.in
Fri Jun 16 10:19:17 PDT 2023


Thanks a lot sir for all your help.I want to use picard algorithm as you
have suggested.Can you help me with the code so that i can use it for
preprocessing .or is it available in some free tool.Kindly suggest .

Regards and Thanks
Soniya Usgaonkar,
Assistant Professor,
Department Of Information Technology,
Goa college Of Engineering,
Farmagudi-Goa


On Fri, Jun 16, 2023 at 10:19 PM Cedric Cannard <ccannard at protonmail.com>
wrote:

> Just reject the non-brain components with at least 95% confidence (for
> muscle and eye blinks) and 99% for other non-brain components, to preserve
> as much brain information that was not classified with high confidence.
>
> FYI: you can use the PICARD algorithm, it's much faster and gives good
> results, similar to infomax. See
> https://urldefense.com/v3/__https://dl.acm.org/doi/abs/10.1109/ICASSP.2018.8461662__;!!Mih3wA!GVneFvO8JnNkB85Dy7b8pMxUzs3HLLlHshJU9Yg2DT2bB_5f7bKCIyMKSHITk6D1QHWcWOo1Dra_L9Q1np8bkQ$  and
> https://urldefense.com/v3/__https://arxiv.org/pdf/1706.08171.pdf__;!!Mih3wA!GVneFvO8JnNkB85Dy7b8pMxUzs3HLLlHshJU9Yg2DT2bB_5f7bKCIyMKSHITk6D1QHWcWOo1Dra_L9QcoFQGuw$  for more details.
>
> > "can you also suggest me some new classification model to classify eeg
> signals which has not been done so far."
>
> What do you mean? Classify what?
>
> Cedric
>
>
> Sent with Proton Mail <https://urldefense.com/v3/__https://proton.me/__;!!Mih3wA!GVneFvO8JnNkB85Dy7b8pMxUzs3HLLlHshJU9Yg2DT2bB_5f7bKCIyMKSHITk6D1QHWcWOo1Dra_L9T5_d5UjQ$ > secure email.
>
> ------- Original Message -------
> On Friday, June 16th, 2023 at 3:25 AM, Soniya Usgaonkar <soniya at gec.ac.in>
> wrote:
>
> Thanks for the advice sir .but i have already rejected all other
> components .because when we use ica decompose it gives me ica components
> like component 1 brain 90percent..component two other 60percent etc.what i
> have done is i have rejected many other since it showed me brain activity
> 20 percent.have i done it correctly sir?kindly help.i have 64 channel eeg
> data.i have to preprocess total of 24 subject and it is taking lot of time
> to run ica on each subject .i have already finished with 12 subjects.sir
> can you also suggest me some new classification model to classify eeg
> signals which has not been done so far.
>
> Regards and Thanks
> Soniya Usgaonkar,
> Assistant Professor,
> Department Of Information Technology,
> Goa college Of Engineering,
> Farmagudi-Goa
>
>
> On Thu, Jun 15, 2023 at 9:40 PM Cedric Cannard <ccannard at protonmail.com>
> wrote:
>
>> Dear Soniya,
>>
>> You can, but I wouldn't reject anything below 95% confidence (maybe even
>> 99% for heart and noise components). The current default is to reject only
>> eye and muscle components with at least 90% confidence. I don't recommend
>> rejecting the "Other" category as it may contain some meaningful brain
>> information.
>>
>> Cedric Cannard
>>
>> Sent with Proton Mail <https://urldefense.com/v3/__https://proton.me/__;!!Mih3wA!GVneFvO8JnNkB85Dy7b8pMxUzs3HLLlHshJU9Yg2DT2bB_5f7bKCIyMKSHITk6D1QHWcWOo1Dra_L9T5_d5UjQ$ > secure email.
>>
>> ------- Original Message -------
>> On Thursday, June 15th, 2023 at 3:07 AM, Soniya Usgaonkar <
>> soniya at gec.ac.in> wrote:
>>
>> Thanks, I'll check it out! .i had one more query when i use ica
>> decomposition option of eeg lab tool .i get ica components having brain
>> activity and eye and channel and others .can i retain only brain activity
>> and reject all other?
>> Regards and Thanks
>> Soniya Usgaonkar,
>> Assistant Professor,
>> Department Of Information Technology,
>> Goa college Of Engineering,
>> Farmagudi-Goa
>>
>>
>> On Tue, Jun 13, 2023 at 11:02 PM Cedric Cannard <ccannard at protonmail.com>
>> wrote:
>>
>>> Dear Second,
>>>
>>> This is Biosemi data right? You have alphabetic labeling format and the
>>> default BEM channel template is expecting a different labeling format
>>> (e.g., A1 = Fp1).
>>>
>>> You can try to load this location template instead:
>>> standard_alphabetic.elc in the same folder
>>> (eeglab\plugins\dipfit5.2\standard_BEM\elec)
>>>
>>> Or you can convert them to the right labeling format, which I recommend
>>> as it facilitates the interpretation of results (F for frontal, P for
>>> parietal, etc.).
>>>
>>> See here to convert them (if you have 64-channel Biosemi):
>>> https://urldefense.com/v3/__https://www.biosemi.com/pics/cap_64_layout_medium.jpg__;!!Mih3wA!GVneFvO8JnNkB85Dy7b8pMxUzs3HLLlHshJU9Yg2DT2bB_5f7bKCIyMKSHITk6D1QHWcWOo1Dra_L9R8W0VScg$ 
>>>
>>> Here are the other montages if you need:
>>> https://urldefense.com/v3/__https://www.biosemi.com/headcap.htm__;!!Mih3wA!GVneFvO8JnNkB85Dy7b8pMxUzs3HLLlHshJU9Yg2DT2bB_5f7bKCIyMKSHITk6D1QHWcWOo1Dra_L9TrB9YlVg$ 
>>>
>>>
>>> Cedric Cannard
>>>
>>>
>>> Sent with Proton Mail secure email.
>>>
>>> ------- Original Message -------
>>> On Monday, June 12th, 2023 at 9:42 PM, Soniya Usgaonkar via eeglablist <
>>> eeglablist at sccn.ucsd.edu> wrote:
>>>
>>>
>>> > Hello Sir.
>>> > I am using compiled version of EEGTOOL for preprocessing my dataset of
>>> EEG
>>> > signals.its reading and importing the dataset . When i have to read
>>> channel
>>> > locations i am giving channel .txt file as an input i am getting
>>> following
>>> > error
>>> > readlocs(): 'txt' format assumed from file extension
>>> > 3 channel with the same label found and imported
>>> > Channel lookup: no location for
>>> >
>>> A1,A2,A3,A4,A5,A6,A7,A8,A9,A10,A11,A12,A13,A14,A15,A16,A17,A18,A19,A20,A21,A22,A23,A24,A25,A26,A27,A28,A29,A30,A31,A32,B1,B2,B3,
>>> >
>>> B4,B5,B6,B7,B8,B9,B10,B11,B12,B13,B14,B15,B16,B17,B18,B19,B20,B21,B22,B23,B24,B25,B26,B27,B28,B29,B30,B31,B32,EXG1,EXG2,EXG3,EXG4,EXG5,EXG6,EXG7,EXG8,GSR1,GSR2,Erg1,Erg2,Resp,Plet,TempRemoving
>>> > 15 channel(s)...
>>> > i am not able to find out why this error . Can you please help sir?
>>> > Regards and Thanks
>>> > Second Usgaonkar,
>>> > Assistant Professor,
>>> > Department Of Information Technology,
>>> > Goa college Of Engineering,
>>> > Farmagudi-Goa
>>> > _______________________________________________
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>>
>>
>



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