A Python signal processing package for identifying and removing stimulation artefacts from electrophysiological data using the Period-based Artefact Reconstruction and Removal Method (PARRM) of Dastin-van Rijn et al. (2021; DOI: 10.1016/j.crmeth.2021.100010).
View the documentation here: pyparrm.readthedocs.io
All credit for PARRM goes to its original authors. PyPARRM is based on the original MATLAB implementation of the method (github.com/neuromotion/PARRM).
If you use this toolbox in your work, please include the following citation:
Binns, T. S., & Merk, T. (2023). PyPARRM (Version 1.1.0). DOI: 10.5281/zenodo.8360751