Detect components that load heavily on a single channel. Looks for components that have one particular channel that has a particularly high z-score.

ar_chanfoc(data, plot = TRUE, threshold = NULL, verbose = TRUE,
  measure = "max", ...)

Arguments

data

eeg_ICA object

plot

Produce plot showing max z-scores and threshold for all ICA components.

threshold

Specify a threshold for high focality. NULL estimates the threshold automatically.

verbose

Print informative messages.

measure

Use maximum "max" or "kurtosis".

...

additional parameters

References

Chaumon, M., Bishop, D.V., Busch, N.A. (2015). A practical guide to the selection of independent components of the electroencephalogram for artifact correction. J Neurosci Methods. Jul 30;250:47-63. doi: 10.1016/j.jneumeth.2015.02.025