MNE-Features
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