[Eeglablist] eegplot() GUI scale

[Makoto Miyakoshi]

Dear Bethel,

> The issue is that whenever I input an arbitrary scale value, it snaps
back to its own auto scale value.

Wow, is that the issue? Sorry, I have completely misunderstood you!
That sounds like a pure bug in EEGLAB. My apology to asking you for doing
this, but if you don't mind could you please file the problem to EEGLAB
bugzilla? That's the dedicated gate for bug report.
https://sccn.ucsd.edu/bugzilla/

Most likely, it's a problem in handling figure objects and figure handles.
You may want to try it with older version of Matlab with latest version of
EEGLAB.

> but if I am the only one having the issue perhaps I can just carry on
viewing data directly on matlab for now.

You have a good skill, very good!

Makoto

On Fri, Jul 13, 2018 at 12:18 PM Bethel Osuagwu <bethel.osuagwu at gmail.com>
wrote:

> Dear Makoto,
> Thanks for your response. The data does not have DC offset as everything
> below 1 Hz was completely removed. eegplot seem to snap the scale with
> respect to the channel with the highest amplitude,; the channels with small
> amplitude appears flat. The issue is that whenever I input an arbitrary
> scale value, it snaps back to its own auto scale value.
>
> I am happy to share my data with this issue, but if I am the only one
> having the issue perhaps I can just carry on viewing data directly on
> matlab for now.
>
> Thanks
> Bethel
>
>
> On Fri, Jul 13, 2018 at 7:55 PM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
> wrote:
>
>> Dear Bethel,
>>
>> Sorry for the trouble.
>>
>> > When I open the recording the eegplot just snap to certain
>> scale which do not necessary allow me to correctly visualise the data
>> amplitude. Using the  +- buttons to change the scale does not have any
>> effect.
>>
>> My initial guess is that the data have huge DC drift.
>> Try this: in eegplot() GUI, in the top tab, [Display] -> [Remove DC
>> offset].
>>
>> > This could be because the amplitude in some channels are very high
>> compared with others.
>>
>> Even if amplitude is high, as long as they are AC they should frequently
>> cross the zero line, hence I guessed DC offset is present. If you recorded
>> the data without using high-pass filter... DC drift could be up to 10,000
>> uV. High-pass filter removes it as well. Try these solutions and let me
>> know if it works.
>>
>> Makoto
>>
>> On Thu, Jul 12, 2018 at 10:32 AM Bethel Osuagwu <bethel.osuagwu at gmail.com>
>> wrote:
>>
>>> Dear All,
>>> I posted this some time ago and had no response; I am posting again
>>> because I think this could be a bug.
>>>
>>> I am using EEGLAB(v13.5.4b) to process data and am struggling to scale
>>> trace
>>> amplitudes. When I open the recording the eegplot just snap to certain
>>> scale which do not necessary allow me to correctly visualise the data
>>> amplitude. Using the  +- buttons to change the scale does not have any
>>> effect. Also using the input field to change the scale does not work as
>>> the
>>> input field only snap to certain values. This could be because the
>>> amplitude in some channels are very high compared with others. I keep
>>> having to plot the data using matlab plot in other to visualise it.
>>>
>>> How can I change the scale to any arbitrary value so to see the trace
>>> amplitudes nicely?
>>>
>>> Thanks
>>>
>>>
>>> --
>>> *Bethel A. C. Osuagwu*
>>> Clinical Research Fellow
>>>
>>> *Stoke Mandeville Spinal Research*
>>> National Spinal Injuries Centre
>>> Mandeville Road
>>> Aylesbury
>>> Bucks
>>> HP21 8AL
>>> Tel: 01296 31 5963 (Applied NeuroLab)
>>> *lifeafterparalysis.com <http://lifeafterparalysis.com/>*
>>> ​@lifeafterpara​
>>>
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>>
>>
>> --
>> Makoto Miyakoshi
>> Swartz Center for Computational Neuroscience
>> Institute for Neural Computation, University of California San Diego
>>
>
>
>
> --
> *Bethel A. C. Osuagwu*
> Clinical Research Fellow
>
> *Stoke Mandeville Spinal Research*
> National Spinal Injuries Centre
> Mandeville Road
> Aylesbury
> Bucks
> HP21 8AL
> Tel: 01296 31 5963 (Applied NeuroLab)
> *lifeafterparalysis.com <http://lifeafterparalysis.com/>*
> ​@lifeafterpara​
>
> *justgiving.com/smsr <http://justgiving.com/smsr>*
>


-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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