/DeepEEGDataAugmentation

Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation including intentionally imbalancing a dataset, and appending modified data to the training set.

Primary LanguagePython

DeepEEGDataAugmentation

Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation including intentionally imbalancing a dataset, and appending modified data to the training set.

If used, please cite:

Daniel Freer, Guang-Zhong Yang. "Data Augmentation for Self-Paced Motor Imagery Classification with a C-LSTM". Journal of Neural Engineering, 2019.