Min Ho Chun

Ulsan College, Asan Medical Center, University of Ulsan

Papers

15

Total Citations

185

H-Index

8

About

Min Ho Chun is a prominent rehabilitation medicine researcher whose work has significantly advanced the field of robotic-assisted rehabilitation for neurological conditions, particularly stroke recovery. Specializing in gait rehabilitation and motor function restoration, Chun has dedicated much of his career to rigorously evaluating the clinical effectiveness of emerging robotic technologies through randomized controlled trials and innovative study designs. His most influential contribution, a 2018 randomized controlled trial examining the Morning Walk® robotic gait training system, has garnered 59 citations and established important benchmarks for how exoskeletal robots can be meaningfully integrated into post-stroke rehabilitation programs. Building on this foundation, Chun has explored the neurological underpinnings of robotic training, using functional near-infrared spectroscopy to reveal how robot-assisted gait training influences cortical activation in stroke patients. His research extends beyond lower limb rehabilitation to upper limb recovery, evaluating novel exoskeletal devices like the HEXO-UR30A for chronic stroke patients. Notably, Chun has also investigated practical dimensions of robotic rehabilitation, including clinician perspectives on adoption barriers and the metabolic demands of adjusted robot guidance forces. Collectively accumulating over 170 citations, his body of work bridges engineering innovation with evidence-based clinical practice, making him a valuable voice in shaping the future of neurorehabilitation.

Research Focus

Key Achievements

8
H-Index
15
Papers
185
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Effects of robot-(Morning Walk <sup>®</sup> ) assisted gait training for patients after stroke: a randomized controlled trial
59 citations · 2018
📈 Most Prolific Year: 2018 (4 Papers)
🤝 Key Collaborators: 52
🏛 Institutions: Ulsan College, Asan Medical Center, University of Ulsan

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago