Mansoo Ko
Papers
1
Total Citations
16
H-Index
1
About
Mansoo Ko is a leading researcher in neurorehabilitation and gait training, with a focus on optimizing recovery for chronic stroke patients. His major contributions lie in advancing robot-assisted gait training (RAGT) by comparing objective and subjective methods of high-intensity intervention. In his most cited work, a 2017 randomized controlled trial, Ko demonstrated that setting training intensity at 70% of heart rate reserve significantly improves dynamic balance and aerobic capacity—outcomes often overlooked in conventional RAGT. This study, with 16 citations, highlights his impact on refining rehabilitation protocols to better address cardiovascular and functional deficits post-stroke. Ko’s research bridges the gap between engineering and clinical practice, offering evidence-based strategies for personalized therapy. His work is notable for challenging standard RAGT approaches, emphasizing the importance of objective intensity metrics over subjective patient feedback. For students and researchers, Ko’s contributions underscore the critical role of tailored, high-intensity training in maximizing neuroplasticity and recovery outcomes, making him a key figure in the evolution of robotic rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1