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Classify ICA components as brain or artifact

Source: R/artifact.R
classifyICAComponents.Rd

Automatically identifies artifact ICA components using statistical criteria.

Usage

classifyICAComponents(
  x,
  method = c("autocorrelation", "kurtosis", "frequency"),
  eog_channels = NULL,
  threshold = NULL
)

Arguments

x

A PhysioExperiment object with ICA decomposition (from icaDecompose).

method

Classification method: "autocorrelation", "kurtosis", or "frequency".

eog_channels

Integer vector of EOG channel indices for correlation-based detection. If provided, also computes EOG correlation scores.

threshold

Classification threshold. If NULL, uses method-specific defaults: autocorrelation=0.9, kurtosis=3.0, frequency=0.5.

Value

A list with:

  • artifact_indices: Integer vector of artifact component indices

  • scores: Named numeric vector of scores per component

  • threshold: The threshold used

  • method: The method used