Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain-Computer Interfaces This paper reviews the use of data fusion techniques for sensorimotor rhythm-based BCIs including machine learning for integration of complementary features of neural activation, multiple previous sessions, and multiple subjects.