Hi,
I'm working on some EEG data with a colleague who normally does
artefact rejection by visual inspection of every trial, and I'm trying
to convince her that SPM5 must be better, but I don't actually know
how it works. Could someone give me an explanation? I've worked
out that it generates a matrix D.weights with 1s for good data and 0s
for bad, but how does it get there? And what is the impact of
changing the default setting for thresholds etc?
Also, does it matter that when I run spm_eeg_artefacts I get several
warnings like this:
Warning: Matrix is singular to working precision.
> In spm_eeg_robust_averaget at 29
In spm_eeg_artefact at 228
Thanks for your help,
Antonia.
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Antonia Hamilton
Dept of Psychological and Brain Sciences
Dartmouth College
Hanover, NH, 03755, USA
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