Authors:
Maryam Khoshkhooy Titkanlou
;
Duc Pham
and
Roman Mouček
Affiliation:
Department of Computer Science and Engineering, University of West Bohemia, 301 00 Plzen, Czech Republic
Keyword(s):
Brain-Computer Interface (BCI), Electroencephalography (EEG), Exoskeleton, Knee, Lower Limb, Motor Imagery (MI), Transfer Learning.
Abstract:
Injuries of the lower limb, particularly the knee, usually require several months of rehabilitation. Exoskeletons are great tools supporting the rehabilitation process; their research and suitable practical use are at the center of interest of researchers and physiotherapists. This paper focuses on designing a brain-computer-interface (BCI)-controlled exoskeleton for knee rehabilitation. It includes reviewing and selecting electroencephalography (EEG) acquisition methods, BCI paradigms, current acquisition devices, signal classification methods and techniques, and the target group of people for whom the exoskeleton will be suitable. Finally, the preliminary proposal of the exoskeleton is provided.