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Python port of the PARRM algorithm for removing periodic artefacts from signals.

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PyPARRM

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; https://doi.org/10.1016/j.crmeth.2021.100010).

This package is based on the original MATLAB implementation of the method (https://github.com/neuromotion/PARRM). All credit for the method goes to its original authors.

Parallel processing is supported to reduce computation times.