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Hey. I think the easiest way to do this is to use the "Time difference" datasets, the ones with the -TD# suffix. The lowest EIT frequency injected is 200 Hz so it should be out of band of any EEG activity. You can use the code in Extract_EEG.m as inspiration. You will likely get some artefacts from the EIT injection switches, so you may wish to mask these data points or remove them prior to filtering. Using the Extract_EEG as an example, the switching points can be found at Trigger.RisingEdges{1, 1} or TT.InjectionSwitches
On Fri, Dec 17, 2021 at 9:08 AM James Avery ***@***.***> wrote:
Hey. I think the easiest way to do this is to use the "Time difference"
datasets, the ones with the -TD# suffix. The lowest EIT frequency
injected is 200 Hz so it should be out of band of any EEG activity. You can
use the code in Extract_EEG.m as inspiration. You will likely get some
artefacts from the EIT injection switches, so you may wish to mask these
data points or remove them prior to filtering. Using the Extract_EEG as an
example, the switching points can be found at Trigger.RisingEdges{1, 1}
or TT.InjectionSwitches
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I am trying to extract EEG from the whole bdf using the low pass filtering that was recommended in the paper. How do you recommend we do this
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