[Eeglablist] Suggestion for wireless eeg system with clinical quality in the market

jim buxton jim.buxton at gmail.com
Wed Mar 7 08:06:16 PST 2012


Nabaraj,

you may be interested in looking into wireless EEG systems from QUASAR (
http://www.quasarusa.com/).  We have used their system for acquiring EEG
from Soldiers in field conditions.  QUASAR should be able to provide you
with documentation regarding system performance.  It's very close to
clinical quality.  In addition they are working on enhancements to enable
high quality EEG capture in non-ideal environments (like Soldiers riding
around in the back of vehicles controling robotics).  The EEG output can be
read into EEGLab after some minor manipulation.

Regards,
Jim Buxton
US Army Aberdeen Test Center

On Tue, Mar 6, 2012 at 12:12 AM, <eeglablist-request at sccn.ucsd.edu> wrote:

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> Today's Topics:
>
>   1. Re: (no subject) (Thomas Feiner)
>   2. Re: How many clusters to choose for a STUDY? (Joaquin Rapela)
>   3. Re: How many clusters to choose for a STUDY? (Aleksandra Vuckovic)
>   4. Suggestion for wireless eeg system with clinical  quality in
>      the market (nabaraj dahal)
>   5. Re: How many clusters to choose for a STUDY? (Tarik S Bel-Bahar)
>   6. Re: What is meant by 'epoch' and 'frames' in EEG Lab
>      (Tarik S Bel-Bahar)
>
>
> ---------- Forwarded message ----------
> From: "Thomas Feiner" <tfeiner at gmx.de>
> To: Timm.Lydia at mh-hannover.de, eeglablist at sccn.ucsd.edu
> Cc:
> Date: Mon, 05 Mar 2012 23:38:56 +0100
> Subject: Re: [Eeglablist] (no subject)
> Dear List
>
> I am fairly new to that list, because I was just looking for some
> alternative EEG-Viewing Software.
> The purpose is not only for science so far, I am a practicioner of
> EEG-Neurofeedback, but I am very much interested in the EEG-Field.
>
> I was very amazed that EEG-Lab can resolve EEG-Traces very accurate. And I
> think there is so much more to see but, I am a beginner and so I will learn
> more about this step by step.
>
> Anyway I am glad that I found this great tool, will look forward to
> further postings.
>
> Best regards,
>
> Thomas Feiner, BCIA, BCN
> Neurofeedback-Institute
> www.neurofeedback-info.de
>
>
>
> -------- Original-Nachricht --------
> > Datum: Mon, 5 Mar 2012 19:47:25 +0100
> > Von: Timm.Lydia at mh-hannover.de
> > An: eeglablist at sccn.ucsd.edu
> > Betreff: [Eeglablist] (no subject)
>
> > Dear list,
> > thanks to all who helped with plugins and advice concerning the Micromed
> > Import!
> > We managed to import the data!
> > Best
> > Lydia
> >
> > •••••••••••••••••••••••••••••••••••••••••••
> > Lydia Timm
> > Department of Neurology
> > Hannover Medical School
> > Carl-Neuberg-Str. 1
> > 30625 Hannover,  Germany
> > Tel.: ++49-(0)511-532-2439
> >
>
> --
> mit freundlichen Grüßen
>
>
>
> Institut für EEG-Neurofeedback
> Ausbildung und Therapie
> Feiner-Murr Gesundheit u. Information GbR
> Landsberger Str. 441
> 81241 München
> Tel: +49(0)089 820 30739
> Fax: 032121035629
> www.neurofeedback-info.de
>
>
>
>
> ---------- Forwarded message ----------
> From: Joaquin Rapela <rapela at ucsd.edu>
> To: Aleksandra Vuckovic <Aleksandra.Vuckovic at glasgow.ac.uk>
> Cc: "eeglablist at sccn.ucsd.edu" <eeglablist at sccn.ucsd.edu>
> Date: Mon, 5 Mar 2012 15:29:02 -0800
> Subject: Re: [Eeglablist] How many clusters to choose for a STUDY?
> Dear Aleksandra,
>
> I select the number of clusters in such a way that (ideally) each cluster
> has one component from every cluster. That is if my study contains 27
> subjects, I select the number of subjects so that each cluster contains 27
> components from 27 subjects. Of course, this is only an ideal scenario, but
> one that could guide you to a good number of clusters.
>
> After you have decided on a number of clusters, and analyzed your data
> with these number of clusters, it is a good practice to repeat the analysis
> with a slightly different number of clusters, to get an idea of the
> robustness of your conclusions.
>
> Cordially, Joaquin
>
> On Mon, Mar 05, 2012 at 09:41:08PM +0000, Aleksandra Vuckovic wrote:
> > Dear all,
> > I’m clustering ICAs of three groups in a STUDY and was just wondering
> what would be the best indicator for how many clusters are just right
> (apart for experimentally testing different numbers). I’ve noticed that
> some cluster contain more than 100 components while some other 20-30 IC .
> Does it mean that this with 100 component is too large so I should go for
> larger number of clusters to separate this cluster in two, or 20-30 CI is
> too small number and I should reduce the total number of clusters?
> > Many thanks,
> > Aleksandra
>
> > _______________________________________________
> > Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
> > To unsubscribe, send an empty email to
> eeglablist-unsubscribe at sccn.ucsd.edu
> > For digest mode, send an email with the subject "set digest mime" to
> eeglablist-request at sccn.ucsd.edu
>
> --
> Joaquin Rapela, PhD
> Swartz Center for Computational Neuroscience
> University of California San Diego
> 9500 Gilman Drive,
> San Diego, CA 92093-0559
> tel: (858) 822-7536
> fax: (858) 822-7556
> http://sccn.ucsd.edu/~rapela
> ----------------------------------
>
> Yet who reads to bring an end however desirable? Are there not some
> pursuits
> that we practice because they are good in themselves, and some pleasures
> that
> are final? And is not this among them?  I have sometimes dreamt, at least,
> that
> when the Day of Judgment dawns and the great conquerors and lawyers and
> statesman come to receive their rewards--their crowns, their laurels, their
> names carved indelibly upon imperishable marble--the Almighty will turn to
> Peter and will say, not without a certain envy when He sees us coming with
> our
> books under our arms, ``Look, these need no reward. We have nothing to give
> them here. They have loved reading.''
>                                                           Orlando. A
> biography
>                                                           Virgina Woolf
>
>
>
>
> ---------- Forwarded message ----------
> From: Aleksandra Vuckovic <Aleksandra.Vuckovic at glasgow.ac.uk>
> To: Joaquin Rapela <rapela at ucsd.edu>
> Cc: "eeglablist at sccn.ucsd.edu" <eeglablist at sccn.ucsd.edu>
> Date: Tue, 6 Mar 2012 00:16:01 +0000
> Subject: Re: [Eeglablist] How many clusters to choose for a STUDY?
> Dear Joaquin,
> that has lots of sense, but if you 130 IC in one cluster, is that still OK
> or an indicator that larger number of clusters is needed? Would you
> recommend increasing number of clusters all until each cluster contains at
> least 1 IC from each subject? My experience is that this results in
> generating similar clusters.
> Also I have noticed that cluster dipole gives deeper location of sources
> then I would expect. Is that right?
> Regards,
> Alex
> .________________________________________
> From: Joaquin Rapela [rapela at ucsd.edu]
> Sent: 05 March 2012 23:29
> To: Aleksandra Vuckovic
> Cc: eeglablist at sccn.ucsd.edu
> Subject: Re: [Eeglablist] How many clusters to choose for a STUDY?
>
> Dear Aleksandra,
>
> I select the number of clusters in such a way that (ideally) each cluster
> has one component from every cluster. That is if my study contains 27
> subjects, I select the number of subjects so that each cluster contains 27
> components from 27 subjects. Of course, this is only an ideal scenario, but
> one that could guide you to a good number of clusters.
>
> After you have decided on a number of clusters, and analyzed your data
> with these number of clusters, it is a good practice to repeat the analysis
> with a slightly different number of clusters, to get an idea of the
> robustness of your conclusions.
>
> Cordially, Joaquin
>
> On Mon, Mar 05, 2012 at 09:41:08PM +0000, Aleksandra Vuckovic wrote:
> > Dear all,
> > I’m clustering ICAs of three groups in a STUDY and was just wondering
> what would be the best indicator for how many clusters are just right
> (apart for experimentally testing different numbers). I’ve noticed that
> some cluster contain more than 100 components while some other 20-30 IC .
> Does it mean that this with 100 component is too large so I should go for
> larger number of clusters to separate this cluster in two, or 20-30 CI is
> too small number and I should reduce the total number of clusters?
> > Many thanks,
> > Aleksandra
>
> > _______________________________________________
> > Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
> > To unsubscribe, send an empty email to
> eeglablist-unsubscribe at sccn.ucsd.edu
> > For digest mode, send an email with the subject "set digest mime" to
> eeglablist-request at sccn.ucsd.edu
>
> --
> Joaquin Rapela, PhD
> Swartz Center for Computational Neuroscience
> University of California San Diego
> 9500 Gilman Drive,
> San Diego, CA 92093-0559
> tel: (858) 822-7536
> fax: (858) 822-7556
> http://sccn.ucsd.edu/~rapela
> ----------------------------------
>
> Yet who reads to bring an end however desirable? Are there not some
> pursuits
> that we practice because they are good in themselves, and some pleasures
> that
> are final? And is not this among them?  I have sometimes dreamt, at least,
> that
> when the Day of Judgment dawns and the great conquerors and lawyers and
> statesman come to receive their rewards--their crowns, their laurels, their
> names carved indelibly upon imperishable marble--the Almighty will turn to
> Peter and will say, not without a certain envy when He sees us coming with
> our
> books under our arms, ``Look, these need no reward. We have nothing to give
> them here. They have loved reading.''
>                                                           Orlando. A
> biography
>                                                           Virgina Woolf
>
>
>
> ---------- Forwarded message ----------
> From: nabaraj dahal <nabarajdahal at gmail.com>
> To: eeglablist at sccn.ucsd.edu
> Cc:
> Date: Tue, 6 Mar 2012 11:07:30 +1030
> Subject: [Eeglablist] Suggestion for wireless eeg system with clinical
> quality in the market
> Dear eeglablist members,
>
> I am currently using Emotiv Epoc EEG recording system for my studies and
> looking forward to upgrade it to some better wireless eeg recording system
> than can acquire data of good quality and can also be incorporated with
> EEGlab.
> I would be grateful if you could advice me some recent good eeg systems
> you know or have experience with.
> You help will be much appreciated.
>
> Regards,
> Nabaraj Dahal
> University of South Australia.
>
>
> ---------- Forwarded message ----------
> From: Tarik S Bel-Bahar <tarikbelbahar at gmail.com>
> To: Aleksandra Vuckovic <Aleksandra.Vuckovic at glasgow.ac.uk>
> Cc: "eeglablist at sccn.ucsd.edu" <eeglablist at sccn.ucsd.edu>
> Date: Mon, 5 Mar 2012 17:08:36 -0800
> Subject: Re: [Eeglablist] How many clusters to choose for a STUDY?
> as in psychometrics and factor analyses,
> it is a good idea to evaluate different clustering solutions, and checking
> the stability of one's main pattern of IC findings,
> another option is to simply use corrmap to find all the similar brain ICs
>  (for example all the ICs reflecting a traditional P1 component topography
> and timecourse).
> Clusters that you develop should generally match up these similar scalp
> maps, even if you use
> other information such as dipoles, ersp, etc.. as clustering information.
> Another option is to attempt use of  the measure projection plugin as an
> alternative to clustering, but there are still
> user decisions to be made there as well.
> What we could use, generally speaking, is a measure of how much variance
> in the data is accounted for by each cluster solution,
> compared to other solutions.
> all the best! please let us know your choice of solution!
>
>
>
> On Mon, Mar 5, 2012 at 3:29 PM, Joaquin Rapela <rapela at ucsd.edu> wrote:
>
>> Dear Aleksandra,
>>
>> I select the number of clusters in such a way that (ideally) each cluster
>> has one component from every cluster. That is if my study contains 27
>> subjects, I select the number of subjects so that each cluster contains 27
>> components from 27 subjects. Of course, this is only an ideal scenario, but
>> one that could guide you to a good number of clusters.
>>
>> After you have decided on a number of clusters, and analyzed your data
>> with these number of clusters, it is a good practice to repeat the analysis
>> with a slightly different number of clusters, to get an idea of the
>> robustness of your conclusions.
>>
>> Cordially, Joaquin
>>
>> On Mon, Mar 05, 2012 at 09:41:08PM +0000, Aleksandra Vuckovic wrote:
>> > Dear all,
>> > I’m clustering ICAs of three groups in a STUDY and was just wondering
>> what would be the best indicator for how many clusters are just right
>> (apart for experimentally testing different numbers). I’ve noticed that
>> some cluster contain more than 100 components while some other 20-30 IC .
>> Does it mean that this with 100 component is too large so I should go for
>> larger number of clusters to separate this cluster in two, or 20-30 CI is
>> too small number and I should reduce the total number of clusters?
>> > Many thanks,
>> > Aleksandra
>>
>> > _______________________________________________
>> > Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
>> > To unsubscribe, send an empty email to
>> eeglablist-unsubscribe at sccn.ucsd.edu
>> > For digest mode, send an email with the subject "set digest mime" to
>> eeglablist-request at sccn.ucsd.edu
>>
>> --
>> Joaquin Rapela, PhD
>> Swartz Center for Computational Neuroscience
>> University of California San Diego
>> 9500 Gilman Drive,
>> San Diego, CA 92093-0559
>> tel: (858) 822-7536
>> fax: (858) 822-7556
>> http://sccn.ucsd.edu/~rapela
>> ----------------------------------
>>
>> Yet who reads to bring an end however desirable? Are there not some
>> pursuits
>> that we practice because they are good in themselves, and some pleasures
>> that
>> are final? And is not this among them?  I have sometimes dreamt, at
>> least, that
>> when the Day of Judgment dawns and the great conquerors and lawyers and
>> statesman come to receive their rewards--their crowns, their laurels,
>> their
>> names carved indelibly upon imperishable marble--the Almighty will turn to
>> Peter and will say, not without a certain envy when He sees us coming
>> with our
>> books under our arms, ``Look, these need no reward. We have nothing to
>> give
>> them here. They have loved reading.''
>>                                                           Orlando. A
>> biography
>>                                                           Virgina Woolf
>>
>> _______________________________________________
>> Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
>> To unsubscribe, send an empty email to
>> eeglablist-unsubscribe at sccn.ucsd.edu
>> For digest mode, send an email with the subject "set digest mime" to
>> eeglablist-request at sccn.ucsd.edu
>
>
>
>
> ---------- Forwarded message ----------
> From: Tarik S Bel-Bahar <tarikbelbahar at gmail.com>
> To: "D.rajesh" <rajeshlearnstorock at yahoo.com>
> Cc: "eeglablist at sccn.ucsd.edu" <eeglablist at sccn.ucsd.edu>
> Date: Mon, 5 Mar 2012 17:33:10 -0800
> Subject: Re: [Eeglablist] What is meant by 'epoch' and 'frames' in EEG Lab
> following up on Stephen's note, now you know what epochs and frames are.
> Some resources for you below, enjoy!
>
> before anything else, if you have not, please also take the time and
> attention to:
>
> 1. Read Luck's ERP analysis/methods handbook
> http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=10677
> Luck, S. J. (2005b). Ten simple rules for designing ERP experiments. In
> T. C. Handy (Ed.),
> *Event-Related Potentials: A Methods Handbook* (pp. 17-32). Cambridge,
> MA: MIT Press. [Download PDF<http://mindbrain.ucdavis.edu/people/sjluck/pdfs/Luck%202005%20Ten_Simple_Rules.pdf>
> ]
> Luck, S. J. (in press). Event-related potentials. In D. L. Long (Ed.), *APA
> Handbook of Research Methods in Psychology*.
> Washington, DC: American Psychological Association. [Download PDF<http://mindbrain.ucdavis.edu/people/sjluck/pdfs/In%20Press%2C%201-space.pdf>
> ]
>
> Read this handbook chapter as well if you have not already[Click on Link
> for word document]
> [DOC]
>  *Electroencephalography* and High-Density Electrophysiological *...*<http://www.google.com/url?sa=t&rct=j&q=handbook%20psychophysiology%20electroencephalography%20&source=web&cd=5&ved=0CEcQFjAE&url=http%3A%2F%2Fpsyphz.psych.wisc.edu%2F~shackman%2FPizzagalli_HandbookCacioppo.doc&ei=MWZVT9qJHuTgiALimI21Bg&usg=AFQjCNH1ie0ItNY8nAO2tEHSAH7DKbXdBg&sig2=1euNSjzBRpG7qbM2HMxyGA>
> psyphz.psych.wisc.edu/~shackman/Pizzagalli_*Handbook*Cacioppo.doc
>  Handy's ERP handbook
>
> http://books.google.com/books/about/Event_related_potentials.html?id=OQyZEfgEzRUC
>
>
> 2. Search on Google Scholar for "EEGLAB" and read a few summary articles
> from the EEGLAB group
> See also online Read this handbook chapter as well if you have not already
> *Makeig S*, Onton J. ERP features and EEG dynamics: An ICA perspective<http://sccn.ucsd.edu/~scott/pdf/Makeig_Onton_LuckERP11.pdf> (1.1MB
> pdf)*Oxford Handbook of Event-Related Potential Components*, Ed. Luck S &
> Kappenman E, 2012.
>
> 3. Examine the EEGLAB 2012 workshop videos and materials[Search on Google
> to find it, two sample videos below]
> FOr example:
>
>    -
>
>    Scott *Makeig*, Streaming video of a talk, 'Mining Cognitive Brain
>    Dynamics I'<http://sccn.ucsd.edu/eeglab/Online_EEGLAB_Workshop/EEGLAB12_Mining_I.html>,
>    given at the 12th EEGLAB Workshop, La Jolla CA, November 18, 2010. The
>    slides (.pdf) are also available here<http://sccn.ucsd.edu/wiki/Online_EEGLAB_Workshop>
>    .
>    -
>
>    Scott *Makeig*, Streaming video of a talk, 'Mining Cognitive Brain
>    Dynamics II'<http://sccn.ucsd.edu/eeglab/Online_EEGLAB_Workshop/EEGLAB12_Mining_II.html>,
>    given at the 12th EEGLAB Workshop, La Jolla CA, November 20, 2010. The
>    slides (.pdf) are also available here<http://sccn.ucsd.edu/wiki/Online_EEGLAB_Workshop>
>    .
>
> 3. Read through and do ALL of the EEGLAB tutorial and and EEGLAB wiki
> 4. Search on google scholar and read recent articles in good journals with
> the keywords "EEG" and your "topics of interest"
> 5. Search on google scholar and read recent articles that use EEGLAB as
> part of their methods.
>
>
>
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>
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>
> On Mon, Mar 5, 2012 at 1:07 PM, Stephen Politzer-Ahles <
> politzerahless at gmail.com> wrote:
>
>> Hello Rajesh,
>>
>> Welcome to EEGLAB. "Frames" in EEGLAB are the same as samples (so if you
>> sampled at 1000 Hz your data will have 1000 frames each second).
>>
>> As for epochs: you are right that the EEG is collected continuously, but
>> part of the procedure for analyzing event-related potentials from EEG is to
>> later "chop" the signal into segments time-locked to an event such as a
>> stimulus (see Luck, 2005, *An Introduction to the Event-Related
>> Potential Technique*). EEGLAB treats the continuous data as consisting
>> of one long epoch, whereas after chopping up the data it consists of
>> multiple small epochs. So that's why you see EEGLAB reporting that there is
>> one epoch even when you are loading continuous data.
>>
>> Best,
>> Steve Politzer-Ahles
>>
>>  On Fri, Mar 2, 2012 at 7:44 PM, D.rajesh <rajeshlearnstorock at yahoo.com>wrote:
>>
>>>
>>>  Hi ,
>>>
>>>            I am new to EEG lab and to the subject. I'd like to know what
>>> is meant
>>> by 'epoch' in EEG. Isn't the EEG signal is collected continuously in
>>> time ? Then where
>>> does the concept of 'epoch' and 'frames' come from and what do they mean
>>> ?
>>>
>>>
>>> Thanks and regards
>>>
>>> Rajesh.D
>>>
>>>
>>> _______________________________________________
>>> Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
>>> To unsubscribe, send an empty email to
>>> eeglablist-unsubscribe at sccn.ucsd.edu
>>> For digest mode, send an email with the subject "set digest mime" to
>>> eeglablist-request at sccn.ucsd.edu
>>>
>>
>>
>>
>> --
>> Stephen Politzer-Ahles
>> University of Kansas
>> Linguistics Department
>> http://www.linguistics.ku.edu/
>>
>> _______________________________________________
>> Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
>> To unsubscribe, send an empty email to
>> eeglablist-unsubscribe at sccn.ucsd.edu
>> For digest mode, send an email with the subject "set digest mime" to
>> eeglablist-request at sccn.ucsd.edu
>>
>
>
> _______________________________________________
> eeglablist mailing list eeglablist at sccn.ucsd.edu
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