Yong-Seok Lee
Papers
2
Total Citations
11
H-Index
2
About
Yong-Seok Lee is a leading researcher in neurorehabilitation, with a focus on robotic-assisted therapy for stroke recovery. His work centers on two key areas: robot-assisted arm rehabilitation and machine learning-driven analysis of gait training outcomes. In his seminal 2015 study on robot-assisted arm rehabilitation in stroke patients, Lee demonstrated significant functional improvements through retrospective analysis, laying groundwork for integrating robotics into upper-limb therapy. More recently, his 2024 investigation into fall-related balance factors and robotic-assisted gait training (RAGT) attributes in 105 post-stroke patients represents a major contribution. By applying clinical machine learning models, Lee identified optimal predictors of fall risk and effective RAGT parameters, offering personalized rehabilitation strategies for high-fall-risk patients. With over 11 citations across his most-cited works, Lee’s impact is growing, particularly for his innovative use of data-driven methods to refine robotic therapy protocols. His achievements include bridging engineering and clinical practice, advancing evidence-based neurorehabilitation, and providing actionable insights for improving balance and mobility in stroke survivors. Lee’s research continues to shape the future of assistive robotics in post-stroke care.
Research Focus
Key Achievements
Top Papers
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- 2