MNE-Features software for extracting features from multivariate time series
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README.rst

MNE-Features

Travis Codecov

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

Installation

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+https://github.com/mne-tools/mne-features.git#egg=mne_features

Dependencies

These are the dependencies to use MNE-Features:

  • numpy (>=1.8)
  • matplotlib (>=1.3)
  • scipy (>=0.19)
  • numba (>=0.37)
  • scikit-learn (>=0.19)
  • mne (>=0.14)
  • PyWavelets (>=0.5.2)
  • pandas (>=0.20)

Cite

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