[Eeglablist] EEG AC and DC record problem

[Makoto Miyakoshi]

Dear Akshay,

The merit of recording EEG in DC mode is that you can analyze infraslow
waves. If you are not interested in it, or don't need to be nervous about
the choice of high-pass filter, the merit is limited (if I understand
correctly).

Makoto

On Tue, Jul 7, 2015 at 6:34 PM, Akshay Maggu <akshay at cuhk.edu.hk> wrote:

> Hi Makoto,
>
> On a similar note, Is it better to acquire EEG in a DC or AC mode?
>
> Akshay
>
> On Wed, Jul 8, 2015 at 6:15 AM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
> wrote:
>
>> Dear Booer,
>>
>> If data are recorded in what you call 'AC mode', you can't recover 'DC
>> mode' data. It's like this:
>>
>> DC mode data = AC mode data + infraslow signal + DC difference
>>
>> I believe when you record data with 'AC mode' the recorder should use
>> high-pass filter that removes infraslow signal and DC.
>>
>> Makoto
>>
>> On Mon, Jul 6, 2015 at 4:18 AM, bjj2909102003 <bjj2909102003 at 163.com>
>> wrote:
>>
>>> Hi, everyone.
>>> Recently, I recorded my EEG data in AC mode. And I made the model based
>>> on AC mode data (range centred around zero). Now I want to analyze
>>> on-line EEG data by my previous model. But the online data is acquired in
>>> DC mode (value is big and not centred around zero) by access SDK. I
>>> don't know how to convert DC mode data into AC mode data so that I can
>>> apply the previous model into the data?
>>>
>>> Thank you.
>>> Booer
>>>
>>> ------------------------------
>>> bjj2909102003
>>>
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>>
>>
>>
>> --
>> Makoto Miyakoshi
>> Swartz Center for Computational Neuroscience
>> Institute for Neural Computation, University of California San Diego
>>
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>
>
>
> --
> Akshay Raj Maggu,
> PhD Candidate,
> Laboratory for Language, Learning and the Brain,
> Department of Linguistics and Modern Languages,
> Chinese University of Hong Kong,
> Hong Kong.
> webpage: http://www.cuhk.edu.hk/lin/new/people/students/maggu/
> *Save trees! Please don't print this email unless you really need to.....*
>



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