Interpolate bad EEG channels — eegInterpolate • PhysioEEG

Replaces data in bad channels by interpolating from remaining good channels using either spherical spline interpolation (Perrin et al., 1989) or nearest-neighbor weighted averaging.

Usage

eegInterpolate(
  x,
  bad_channels,
  method = c("spline", "nearest"),
  assay_name = NULL,
  output_assay = "interpolated"
)

Arguments

x: A PhysioExperiment object.
bad_channels: Character vector of channel labels to interpolate.
method: Interpolation method: "spline" for spherical spline (default) or "nearest" for inverse-distance weighted nearest neighbors.
assay_name: Name of the assay to interpolate. If NULL, uses defaultAssay(x).
output_assay: Name of the output assay (default: "interpolated").

Value

A PhysioExperiment object with interpolated channels in the specified output assay.

Details

Requires electrode positions (pos_x, pos_y, pos_z) in colData. Apply eegMontage first if positions are not set.

Examples

if (FALSE) { # \dontrun{
pe <- make_eeg(n_time = 5000, n_channels = 19, sr = 500)
pe <- eegMontage(pe, system = "10-20")
bad_df <- eegBadChannels(pe)
bad_labels <- bad_df$channel[bad_df$is_bad]
if (length(bad_labels) > 0) {
  pe_clean <- eegInterpolate(pe, bad_labels)
}
} # }