Sang Jin Jang

Korea Advanced Institute of Science and Technology

Papers

Total Citations

H-Index

About

Sang Jin Jang is a leading researcher in neurorehabilitation, specializing in the intersection of brain-computer interfaces and soft robotic systems for stroke recovery. His work focuses on restoring hand motor function in chronic stroke patients through innovative hybrid technologies. Jang’s most cited study, "EEG-EMG hybrid real-time classification of hand grasp and release movements intention in chronic stroke patients" (2022, 9 citations), pioneered a system that combines electroencephalography and electromyography signals to control a multi-degree-of-freedom soft glove, enabling real-time, intention-driven hand rehabilitation. This breakthrough addresses a critical gap in assistive robotics by translating neural and muscular activity into precise movements. In a follow-up study (2023, 2 citations), Jang used functional MRI to assess brain activity during rehabilitation with an MR-compatible soft glove, revealing how robot-assisted therapy promotes neuroplasticity and functional recovery. His work is notable for bridging engineering and clinical neuroscience, offering tangible pathways to improve daily living for stroke survivors. Jang’s contributions underscore the potential of hybrid brain-machine interfaces and soft robotics to transform motor rehabilitation, making him a pivotal figure in the field.