Package asrpy

Welcome to the ASRpy documentation.

ASR (Artefact Subspace Reconstruction) is a widely used automated cleaning algorithm for EEG data. This version of ASR is implemented to easily integrate with the MNE-Python toolbox for M/EEG analysis. The original method was invented by Kothe & Jung (2016) for the EEGLab toolbox.

You find the documentation to all available functions by clicking on the respective submodules.

Sub-modules

asrpy.asr

In asrpy.asr you can find the original ASR functions (similar to MATLAB) as well as a high-level ASR object ready to use with MNE-Python raw data.

asrpy.asr_utils

In asrpy.utils you can find utility functions required to perform ASR.