semvec/pypi-packages huggingface dataset:
pyparrm 1.1.1
A Python port of the PARRM algorithm
Requires Python: >=3.10

# 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;
DOI: [10.1016/j.crmeth.2021.100010](https://doi.org/10.1016/j.crmeth.2021.100010)).

### View the documentation here: [pyparrm.readthedocs.io](https://pyparrm.readthedocs.io/en/main/)


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

If you use this toolbox in your work, please include the following citation:<br/>
Binns, T. S., & Merk, T. (2023). PyPARRM (Version 1.1.0). DOI: [10.5281/zenodo.8360751](https://doi.org/10.5281/zenodo.8360751)