Skip to main content

An MNE compatible package for processing near-infrared spectroscopy data.

Project description

https://img.shields.io/badge/docs-master-brightgreen https://github.com/mne-tools/mne-nirs/workflows/linux%20/%20pip/badge.svg https://github.com/mne-tools/mne-nirs/workflows/macos%20/%20conda/badge.svg https://github.com/mne-tools/mne-nirs/workflows/linux%20/%20conda/badge.svg https://codecov.io/gh/mne-tools/mne-nirs/branch/master/graph/badge.svg https://badge.fury.io/py/mne-nirs.svg

MNE-NIRS is an MNE compatible near-infrared spectroscopy processing package.

MNE has support for common fNIRS waveform analysis (see tutorial), this package adds additional GLM style analysis, helper functions, algorithms, and plotting.

Documentation

Documentation for this project is hosted here.

Examples

Contributing

Contributions are welcome (more than welcome!). Contributions can be feature requests, improved documentation, bug reports, code improvements, new code, etc. Anything will be appreciated. Note: this package adheres to the same contribution standards as MNE.

Acknowledgements

This package is built on top of many other great packages. If you use MNE-NIRS you should also acknowledge these packages.

MNE: https://mne.tools/dev/overview/cite.html

Nilearn: http://nilearn.github.io/authors.html#citing

statsmodels: https://www.statsmodels.org/stable/index.html#citation

Until there is a journal article specifically on MNE-NIRS, please cite this article.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mne-nirs-0.0.4.dev.tar.gz (31.9 kB view details)

Uploaded Source

File details

Details for the file mne-nirs-0.0.4.dev.tar.gz.

File metadata

  • Download URL: mne-nirs-0.0.4.dev.tar.gz
  • Upload date:
  • Size: 31.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for mne-nirs-0.0.4.dev.tar.gz
Algorithm Hash digest
SHA256 db2815b51c47f79a1b46326fb75253db4a75405a9c18e59d795601bada7f101e
MD5 f26bd6a3c7bee801e1a2d22e6cb79364
BLAKE2b-256 01e796073ab3d3d52978f4d15f923d1a79b9353d62e479d4aa62841bba6901ee

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page