... | ... | @@ -4,7 +4,7 @@ Marks can be generated from computing a flag structure based on any criteria you |
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:b: The following code snippets are from the BUCANL *eeglab_pipe_asr_amica* pipeline: *s01_scalpart.htb* script.
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The example below calls the function *chan_neighbour_r* which creates an array based on the statistical difference between channels. If these channels are to ?????similar ?????different than they will be assigned a value value of 1 while the good channels remain at 0. This information is then stored in the EEG.marks.chan_info(???).flags arrays. All of the bad channels can be isolated using this marks structure and then dealt with accordingly.
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The example below calls the function *chan_neighbour_r* which creates an array based on the statistical difference between channels. If these channels are correlated to similarly than they will be assigned a mark value of 1 while the good channels remain with marks of 0. This information is then stored in one of the EEG.marks.chan_info().flags arrays. All of the bad channels can be isolated using the *chan_info* marks structure and then dealt with accordingly.
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Preforming the calculation on the data and sorting it by the result criteria:
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