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Access ICA Metadata

Source: R/eeg-ica.R
eegICAmix.Rd

Returns the ICA results stored in metadata(x)$ica, including the mixing matrix, unmixing matrix, channel means, and whitening matrix.

Usage

eegICAmix(x)

Arguments

x

A PhysioExperiment object with ICA results.

Value

A list containing: mixing (mixing matrix A, n_channels x n_components), unmixing (unmixing matrix, n_components x n_channels), mean (channel mean vector), whiten (whitening matrix), and method (character, algorithm used).

References

Hyvarinen, A., & Oja, E. (2000). Independent component analysis: algorithms and applications. Neural Networks, 13(4-5), 411-430.

Bell, A. J., & Sejnowski, T. J. (1995). An information-maximization approach to blind separation and blind deconvolution. Neural Computation, 7(6), 1129-1159.

See also

eegICA(), eegICAremove(), eegICAdetect()

Examples

if (FALSE) { # \dontrun{
pe <- make_eeg(n_time = 5000, sr = 500)
pe <- eegICA(pe, n_components = 4, method = "fastica")
ica_info <- eegICAmix(pe)
} # }