moabb.pipelines.features.AugmentedDataset#

class moabb.pipelines.features.AugmentedDataset(order: int = 1, lag: int = 1)[source]#

Dataset augmentation methods in a higher dimensional space.

This transformation allow to create an embedding version of the current dataset. The implementation and the application is described in [1].

References

1

Carrara, I., & Papadopoulo, T. (2023). Classification of BCI-EEG based on augmented covariance matrix. arXiv preprint arXiv:2302.04508. https://doi.org/10.48550/arXiv.2302.04508