Papers
2
Total Citations
66
H-Index
2
About
Henry Shin is a leading researcher in rehabilitation robotics and myoelectric control, with a focus on restoring hand function for individuals with neurological injuries. His major contributions center on developing intelligent, pattern-recognition-driven exoskeletons that interpret a user’s electromyography (EMG) signals to assist with real-time hand motions. In a landmark 2017 study (52 citations), Shin designed a hand exoskeleton capable of performing six distinct motions for stroke rehabilitation, demonstrating how myoelectric control can bridge the gap between user intent and robotic assistance. He further validated this approach in a case study with a spinal cord injury patient (14 citations), where a 51-year-old man with a chronic C6 injury regained functional hand movement after a structured 10-week training program. This work is notable for its translation of advanced control algorithms into tangible clinical outcomes, offering new hope for long-term recovery. Shin’s research stands at the intersection of biomedical engineering and assistive technology, with his highly cited papers underscoring his impact on the field of neurorehabilitation.
Research Focus
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Top Papers
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