[Eeglablist] Re-epoching data into bigger pieces

Makoto Miyakoshi mmiyakoshi at ucsd.edu
Mon Dec 9 16:25:34 PST 2013


Dear Bart,

If you want to clean continuous data try this
clean_rawdata http://sccn.ucsd.edu/wiki/Plugin_list_process
Use ASR only if you don't want to reject any datapoint.

Makoto


2013/12/4 Bart Michiels <MICHELSB at tcd.ie>

> Hi,
>
> My idea was to break down continuous data into pieces of 750 ms after
> rejecting some time frames in its continuous form.
> After 750 ms epoching I'd want to do some ICA and reject some component
> epochs.
> Finally I'd re-epoch the data to bits of 3000ms to do some time-frequency
> analysis.
>
> The problem is that eeglab can't create any epochs.
>
>
> ########################################################################################
>
> ########################################################################################
> % First epoching, I took 1 seconds here
> test = eeg_regepochs(EEG_eo, 'recurrence', 1, 'limits', [0 1], 'rmbase',
> NaN, 'eventtype', 'EO');
> The input dataset will be split into 389 epochs of 1 s
> Epochs will overlap by  0%.
> Inserting 389 type 'EO' events: .......................................40
> .......................................80..............................
> .........120......................................160....................
> ...................200.......................................240..........
> .............................280.......................................320
> .......................................360.............................
> Sorting the event table.
> Splitting the data into 389 1.00-s epochs
> pop_epoch():389 epochs selected
> Epoching...
> pop_epoch():389 epochs generated
> eeg_checkset: found empty values for field 'urevent'
>               filling with values of other events in the same epochs
> eeg_checkset: found empty values for field 'duration' (filling with 0)
> Event resorted by increasing latencies.
> pop_epoch(): checking epochs for data discontinuity
> Removing 5 trial(s)...
> Pop_select: removing 15 unreferenced events
>
> % Second epoch, tried to take 2 seconds
> >> pop_epoch(test,{'EO'},[0 2])
> pop_epoch():767 epochs selected
> Epoching...
> Warning: event 1 out of data boundary
> Warning: event 2 out of data boundary
> ...
>
> ########################################################################################
>
> ########################################################################################
>
> I know if eeglab can't find 4 consecutive 750 ms (4*750 = 3000) it would
> be unable to generate any epochs, but this isn't happening in my case.
>
> Also: when epoching the continuous data, how can I make sure that 2
> consecutive epochs are close neighbors without any deleted data points in
> between them?
>
> Regards, Bart
>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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