| POP_REJKURT | Rejection of artifact in a dataset using kurtosis of activity (i.e. to detect peaky distribution of activity). |
| Usage: | >> [OUTEEG, locthresh, globthresh, nrej] = = pop_rejkurt( INEEG, typerej, electrodes, locthresh, globthresh, superpose, reject, vistype); |
| Inputs: | |
INEEG |
input dataset |
typerej |
type of rejection (0 = independant components; 1 = eeg data). Default is 1. For independant components, before thresholding, the activity is normalized for each component. |
electrodes |
[e1 e2 ...] electrodes (number) to take into consideration for rejection |
locthresh |
activity kurtosis thresholds in terms of standard-dev. |
globthresh |
global threshold (for all electrodes of a trial). |
superpose |
0=do not superpose pre-labelling with previous pre-labelling (stored in the dataset). 1=consider both pre-labelling (using different colors). Default is 0. |
reject |
0=do not reject labelled trials (but still store the labels. 1=reject labelled trials. Default is 0. |
vistype |
visualization type. 0 is rejectrials and 1 is eegplot. default is 0. |
| Outputs: | |
OUTEEG |
output dataset with updated kurtosis array |
locthresh |
electrodes probability of activity thresholds in terms of standard-dev. |
globthresh |
global threshold (where all electrode activity are regrouped). |
nrej |
number of rejected sweeps |
| Author: | Arnaud Delorme, CNL / Salk Institute, 2001 |
| See also: | rejkurt, eeglab, eegplot |