Multi-source deep domain adaptation ensemble framework for cross-dataset motor imagery EEG transfer learning.

The results of this study show that cross-dataset TL is feasible for left/right-hand MI EEG decoding, and further indicate that MSDDAEF is a promising solution for addressing MI EEG cross-dataset variability.