Kailai Ji

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About

Kailai Ji is a leading researcher in neurorehabilitation robotics, with a primary focus on integrating central and peripheral neural signals to restore motor function after stroke. His key contributions lie in developing brain-machine interfaces that decode voluntary motor effort from both cortical and muscular activity, enabling more intuitive robotic control for wrist-hand rehabilitation. In his highly cited 2022 work, "Corticomuscular integrated representation of voluntary motor effort in robotic control for wrist-hand rehabilitation after stroke," Ji demonstrated how combining electroencephalography (EEG) and electromyography (EMG) signals can create a unified representation of motor intent, allowing rehabilitation robots to respond more naturally to a patient's effort. This approach has garnered 26 citations, reflecting its impact on advancing closed-loop neurorehabilitation systems. Ji's work is notable for bridging the gap between central nervous system-driven control and peripheral muscle activation, offering a promising pathway for promoting functional neuroplasticity in stroke survivors. His research continues to shape the design of next-generation assistive devices that prioritize patient-driven recovery.