Chang Soon Kang
Papers
3
Total Citations
93
H-Index
3
About
Chang Soon Kang is a leading researcher in neurorehabilitation, with a specific focus on robot-assisted gait training for stroke recovery. His work bridges the critical gap between engineering and clinical neuroscience, exploring how robotic interventions can restore walking function and drive brain reorganization after neurological injury. Kang’s major contributions include demonstrating that reducing robotic assistance during gait training—an “assist-as-needed” approach—can significantly improve step length asymmetry in hemiplegic stroke patients, a common and debilitating gait deficit. His pioneering studies have also provided the first evidence that robot-assisted gait training promotes both structural and functional improvements in the stroke-injured brain, with a 2016 paper (32 citations) and a 2020 randomized controlled pilot study (19 citations) revealing measurable neuroplastic changes. These findings suggest that early initiation of robotic therapy may enhance cortical reorganization. With his most cited work accumulating over 90 citations, Kang is recognized for advancing the mechanistic understanding of how technology-driven rehabilitation can facilitate neural repair, offering new hope for personalized, recovery-oriented stroke therapy.
Research Focus
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Top Papers
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