Skip to main content

MNE-Features software for extracting features from multivariate time series

Project description

GitHub Actions Codecov

This repository provides code for feature extraction with M/EEG data. The documentation of the MNE-Features module is available at: documentation.


To install the package, the simplest way is to use pip to get the latest release:

$ pip install mne-features

or to get the latest version of the code:

$ pip install git+


These are the dependencies to use MNE-Features:

  • numpy (>=1.17)
  • matplotlib (>=1.5)
  • scipy (>=1.0)
  • numba (>=0.46.0)
  • llvmlite (>=0.30)
  • scikit-learn (>=0.21)
  • mne (>=0.18.2)
  • PyWavelets (>=0.5.2)
  • pandas (>=0.25)


If you use this code in your project, please cite:

Jean-Baptiste SCHIRATTI, Jean-Eudes LE DOUGET, Michel LE VAN QUYEN, Slim ESSID, Alexandre GRAMFORT,
"An ensemble learning approach to detect epileptic seizures from long intracranial EEG recordings"
Proc. IEEE ICASSP Conf. 2018

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-features-0.2.tar.gz (40.0 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page