[Eeglablist] Re-epoching data into bigger pieces

[Bart Michiels]

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
...
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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