Independent Component Analysis¶
M/EEG signal decomposition using Independent Component Analysis (ICA). ICA is sensitive to low-frequency drifts and therefore requires the data to be high-pass filtered prior to fitting. Typically, a cutoff frequency of 1 Hz is recommended.
Inputs
Outputs
- ICA: Object of Independent Component Analysis
Use
- Number of components - Number of principal components that are passed to the ICA algorithm during fitting.
- Random state - Random state to initialize ICA estimation for representativ results.
- Maximum number of iterations - Maximum number of iterations during fit.
