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