Yoon No Gregory Hong
Papers
3
Total Citations
64
H-Index
3
About
Yoon No Gregory Hong is a leading researcher in neurorehabilitation engineering, whose work bridges computational biomechanics and clinical stroke recovery. His primary research areas include muscle synergy analysis, human-machine interaction, and robotic rehabilitation for post-stroke motor impairment. Hong’s major contributions center on demonstrating that muscle synergies—the neural building blocks of movement—can be harnessed to guide more effective rehabilitation protocols. His 2021 paper, “Are muscle synergies useful for stroke rehabilitation?” (50 citations), critically evaluates the clinical utility of this framework, establishing a foundational reference for the field. In 2022, he advanced computational modeling with “Computational modeling and simulation of closed chain arm-robot multibody dynamic systems in OpenSim” (10 citations), developing model-based methods to personalize robot control algorithms for patient-specific neural deficits. Most recently, his 2025 pilot study (4 citations) provides direct evidence that synergy-guided exercise through human-machine interaction improves neuromuscular coordination and reduces motor impairment after stroke. Hong’s work is notable for translating complex neural control theories into practical, patient-centered interventions, positioning him at the forefront of next-generation rehabilitation robotics.
Research Focus
Key Achievements
Top Papers
- 1Are muscle synergies useful for stroke rehabilitation?50 citations · 2021
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