Papers
3
Total Citations
47
H-Index
3
About
Min-Keun Song is a leading researcher in the field of robotic rehabilitation, with a primary focus on improving mobility and quality of life for individuals with neurological disorders. His work centers on the application of wearable robotic exoskeletons for gait training, targeting conditions such as cerebral palsy (CP), spinal cord injury (SCI), and spinocerebellar ataxia (SCA). Song’s major contributions include demonstrating the effectiveness of overground robot-assisted gait training (RAGT) in children with CP, a study that has garnered 25 citations and highlights the potential for intensive, real-world walking experiences. He also investigated cardiopulmonary benefits in chronic SCI patients, showing that exoskeleton training can enhance both gait patterns and cardiovascular function, a finding cited 15 times. Additionally, his case report on SCA (7 citations) underscores the role of robotic therapy in addressing balance and mobility decline in hereditary neurodegenerative disorders. Through these impactful studies, Song has advanced the understanding of how wearable robotics can serve as a transformative tool in neurorehabilitation, offering new hope for patients with severe motor impairments.
Research Focus
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