An Impending Paradigm Shift in Motor Imagery Based Brain-Computer Interfaces
The development of reliable assistive devices for patients that suffer from motor impairments following central nervous system lesions remains a major challenge in the field of non-invasive Brain-Computer Interfaces (BCIs).These approaches are predominated by electroencephalography and rely on advanced signal processing and machine learning methods