Min‐Gu Kang
Papers
3
Total Citations
76
H-Index
3
About
Min‐Gu Kang is a leading researcher in neurorehabilitation, specializing in the application of robotic technologies to improve motor function in Parkinson’s disease. His work centers on robot-assisted gait training (RAGT), investigating how repetitive, technology-driven locomotor therapy can harness neuroplasticity to restore walking ability. Kang’s major contribution is his rigorous, randomized controlled trial that demonstrated the efficacy of combining RAGT with auditory and visual cues—a novel multimodal approach that significantly enhances gait outcomes in Parkinson’s patients. This landmark study, published in 2022, has already garnered 45 citations, reflecting its immediate impact on clinical practice and rehabilitation science. His earlier protocol paper, with 28 citations, laid the methodological groundwork for this trial, addressing the previously contradictory findings in RAGT research. By systematically evaluating cue-integrated robotic training, Kang has provided evidence-based guidance for clinicians and paved the way for personalized neurorehabilitation strategies. His work not only advances the field of assistive robotics but also offers tangible hope for improving mobility and quality of life in neurodegenerative disease.
Research Focus
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Top Papers
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