A Python port of the PARRM algorithm
Project description
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).
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pyparrm-1.1.0.tar.gz
(1.6 MB
view details)
Built Distribution
pyparrm-1.1.0-py3-none-any.whl
(17.9 kB
view details)
File details
Details for the file pyparrm-1.1.0.tar.gz
.
File metadata
- Download URL: pyparrm-1.1.0.tar.gz
- Upload date:
- Size: 1.6 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 20b9532a8c74bcfcb93b05903252e834d95bc394199676c797d29062fee62696 |
|
MD5 | 5982f1731d2f18b11ebd69ca20373ac2 |
|
BLAKE2b-256 | b0e681499e9fe466683e22ff6dd616bbac71180c179fdc5e640f115c236a4f47 |
File details
Details for the file pyparrm-1.1.0-py3-none-any.whl
.
File metadata
- Download URL: pyparrm-1.1.0-py3-none-any.whl
- Upload date:
- Size: 17.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5025e59de572e67aab65413259599c597410a9bdda7c24a3297458e9926dc60b |
|
MD5 | ff617a9f922a2bf49390606e30441427 |
|
BLAKE2b-256 | 8fa8c27ed1ca7f978a6704290d508a8184f0ef34499c091492770b4fd604945d |