Papers
2
Total Citations
7
H-Index
2
About
Hyun-Jong Lee’s research bridges neural rehabilitation and soft electronics, focusing on restoring motor function and enabling human-machine interfaces. His work addresses critical challenges in myoelectric control for stroke patients, where long-term muscle contractions degrade signal recognition. In a 2020 study (5 citations), he systematically investigated how sustained contractions affect wrist-movement classification accuracy, providing foundational insights for adaptive prosthetic and rehabilitation systems. More recently, Lee advanced stretchable sensor technology for electronic skin applications. His 2025 paper (2 citations) introduces a crack-based strain sensor with a serpentine structure that achieves a rare combination of high sensitivity and broad sensing range—a key bottleneck in soft robotics and wearable motion monitoring. By optimizing the crack geometry, his design enables real-time, precise tracking of dynamic deformations without sacrificing durability. This dual focus on neural interface reliability and flexible sensor performance positions Lee at the intersection of rehabilitation engineering and next-generation wearable electronics. His contributions offer practical pathways toward more responsive prosthetics and resilient electronic skins, with implications for both clinical recovery and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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