Papers
3
Total Citations
42
H-Index
3
About
Yu-Sun Min is a leading researcher in neurorehabilitation engineering, specializing in robotic assessment and therapy for post-stroke motor impairment. Her work focuses on the upper limb, particularly the elbow, where she has pioneered methods to quantify spasticity and muscle activation patterns. In her highly cited 2013 study, Min used electromyographic analysis to compare isotonic and isokinetic robotic exercise in stroke patients with spastic elbows, providing critical insights into muscle coordination during rehabilitation. More recently, her 2020 proof-of-concept study demonstrated the feasibility of remote, internet-based telerobotics for assessing post-stroke elbow function—a breakthrough that addresses the critical barrier of limited clinic accessibility. This work, which has garnered 18 citations, lays the foundation for tele-rehabilitation systems that could dramatically expand care for stroke survivors. With a total of over 40 citations across her key papers, Min’s contributions are shaping the future of accessible, data-driven neurorehabilitation. Her research not only advances robotic assessment techniques but also directly tackles real-world healthcare disparities, making her a vital voice in the movement toward decentralized, technology-enabled stroke recovery.
Research Focus
Key Achievements
Top Papers
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