This package implements the Localized Component Filtering (LCF) method for EEG artifact rejection.

Let b_data be a numpy.ndarray containing the result of applying a BSS method to EEG data, and a_data be an alternative "cleaner" version of the previous. Let these variable have dimensions CxTxE, where C, T and E are the number of channels, time samples and events respectively. Then, LCF can be applied as:

import eeglcf
c_data = eeglcf.lcf(b_data, a_data)

where c_data is a new version of the BSS data built from the mixing of b_data and a_data.

To install this package, you can use the make file. From the root directory of the package, run:

make install

To test the package against your installed python version, from the root directory of the package you can run:

make test

Please, file an issue if you encounter any problem with the package or if you have any suggestions.

The eeglcf framework is open-sourced software licensed under the MIT license.