[Eeglablist] bad channel rejection - kurtosis - threshold limits default 5

[ida miokovic]

Dear eeglab list,

after performing some analysis on the eeg dataset I have, I noticed that in
"Bad channels rejection" step I used Kurtosis measure, normalize measure
checked and the max threshold limits remained set on 5 (by the default). At
the time of performing this step, I didn't pay much attention to it
assuming that the default settings are the most common ones. Now, when
explaining to the detail each step of my analysis, I'm stuck here.

- Why is 5 default value for the max threshold limits? I read explanation
of the function jointprob() where it says that the threshold is expressed
in standard deviation of the mean.

- What would be the easiest way to calculate the standard deviation of the
mean of my dataset and would that result be the threshold that is
appropriate to my dataset?

- Are there situation when it is better to use Kurtosis rather than the
probability measure and the other way around?

Thank you very much for your help and I apologize in advance if you find
these questions too simple...

Ida
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