A hybrid BMI-based exoskeleton for paresis: EMG control for assisting arm movements

• Published in: Journal of neural engineering Vol. 14; no. 1; pp. 16015 - 16026
• Main Authors: Kawase, Toshihiro, Sakurada, Takeshi, Koike, Yasuharu, Kansaku, Kenji
• Format: Journal Article
• Language: English
• Published: England IOP Publishing 01.02.2017
• Subjects: Adult; Arm - physiopathology; BCI; BMI; Brain-Computer Interfaces; Electroencephalography - instrumentation; Electroencephalography - methods; Electromyography - instrumentation; Electromyography - methods; EMG; Equipment Design; Equipment Failure Analysis; exoskeleton; Exoskeleton Device; Female; Humans; Male; Man-Machine Systems; Middle Aged; Movement; musculoskeletal model; Neurological Rehabilitation - instrumentation; Neurological Rehabilitation - methods; Paresis - physiopathology; Paresis - rehabilitation; Systems Integration; Treatment Outcome

Objective. Brain-machine interface (BMI) technologies have succeeded in controlling robotic exoskeletons, enabling some paralyzed people to control their own arms and hands. We have developed an exoskeleton asynchronously controlled by EEG signals. In this study, to enable real-time control of the e...