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).
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
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Release files for pyparrm 1.1.1
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Source distribution (sdist)
| File | Size | Uploaded | |
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| pyparrm-1.1.1.tar.gz | 1.6 MB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyparrm-1.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.9 MB
Release files / pyparrm-1.1.1.tar.gz
| Download URL | pyparrm-1.1.1.tar.gz |
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| Size | 1.6 MB |
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| Size | 1.3 MB |
| Tags | Python 3 |
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