[Eeglablist] Extracting features from bigdata

[Tarik S Bel-Bahar]

Hello Abdul.
If your computer is strong and fast enough it should be able to load each
single file at least. Try loaing your data in matlab, eeglab, or the
software with which the EEG was recorded, if you have not yet.

I've seen eeglab work fine with 8+ hour files. I don't see any reason why
other major EEG programs out there (for pay and public) could not handle 12
hours of data. Many are built to work with sleep data that is often that
long.

You can also cut down the 12 hours into several 3 hour chunks, or something
like that.
You may also downsample in terms of how many samples you have per second
(say from 1000 to 250), and in terms of number of total channels per file.

See TAPEEG, a recent automatic EEG processing toolbox, it may be of help to
you for automatic cleaning and metrics.









On Fri, Oct 16, 2015 at 4:42 AM, Md. Abdul Awal <awalece04 at yahoo.com> wrote:

> Dear EEGLABlisters
>
> I have  EEG recordings from 67 subjects. Duration of each recording is at
> least 12hrs. I have the outcome of the subjects.
>
> I want to extract different signal features e.g. alpha band power,
> symmetry etc and correlate  them with outcome.
> Can anybody help me how i can handle such a bigdata and what will be
> possible approach?
>
> Looking forward to hearing from you.
>
> with regards,
> ------------------------
> Md. Abdul Awal
> The University of Queensland, Australia
>
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