About

Dr. Yun-Hee Kim is a leading figure in rehabilitation robotics, whose work has fundamentally advanced the use of robotic systems for motor recovery after neurological injury and in aging populations. Her research focuses on the development and clinical validation of robot-assisted gait training and wearable assistive devices to restore mobility and improve cardiopulmonary fitness. Dr. Kim’s seminal 2013 paper on robot-assisted therapy in stroke rehabilitation has garnered nearly 500 citations, establishing a foundational framework for the field. She has been instrumental in demonstrating that robotic training can deliver high-dosage, high-intensity therapy, with her 2011 study showing significant improvements in cardiopulmonary fitness for subacute stroke patients (162 citations). More recently, her development of the wearable hip-assist robot (EX1) has proven effective in enhancing gait function and metabolic efficiency in both elderly adults and chronic stroke survivors, with multiple papers exceeding 100 citations. Through rigorous randomized controlled trials, including work with the WALKBOT system, Dr. Kim has provided compelling evidence that robotic-assisted locomotor training can surpass conventional therapy in restoring balance and gait. Her innovative integration of functional electrical stimulation with robotic training further underscores her commitment to maximizing recovery outcomes. Dr. Kim’s work continues to shape the future of neurorehabilitation, offering new hope for patients striving to regain independence.

Research Focus

Key Achievements

15
H-Index
26
Papers
1,463
Total Citations
56
Avg Citations/Paper
🏆 Most Cited Paper
Robot-assisted Therapy in Stroke Rehabilitation
498 citations · 2013
📈 Most Prolific Year: 2024 (4 Papers)
🤝 Key Collaborators: 59
🏛 Institutions: Samsung (South Korea), Sungkyunkwan University, Samsung Medical Center, Inje University Haeundae Paik Hospital, BAE Systems (Sweden), Myongji Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago