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).

All credit for PARRM goes to its original authors. PyPARRM is based on the original MATLAB implementation of the method (neuromotion/PARRM).

Contents:

• Installation
• Examples
  • Using PyPARRM to filter out stimulation artefacts from data
  • Exploring the best filter parameters for your data
  • Real data example: stimulation artefacts in human ECoG data
• API
  • PARRM
    • pyparrm.parrm.PARRM
• Development

Credits

Lead author: Thomas Samuel Binns | tsbinns

Contributors:

• Timon Merk | timonmerk