Sunghun Jang
Papers
1
Total Citations
42
H-Index
1
About
Sunghun Jang is a leading researcher in rehabilitation robotics and neurorehabilitation, with a primary focus on developing and refining robot-assisted gait training for individuals with neurological impairments. His most-cited work investigates the effect of reducing robotic assistance on step length asymmetry in hemiplegic stroke patients—a common and debilitating gait abnormality. By evaluating an assist-as-needed protocol, Jang demonstrated that minimizing robotic support can promote more symmetrical, active stepping, directly challenging conventional fully-assisted training paradigms. This study, with 42 citations, has informed clinical guidelines for personalized gait rehabilitation. Jang’s contributions bridge engineering and clinical practice, emphasizing patient-driven movement to enhance neuroplasticity and functional recovery. His work is widely referenced by researchers designing adaptive robotic controllers and by clinicians seeking evidence-based protocols for post-stroke gait therapy. Through rigorous experimental design and a focus on real-world gait metrics, Jang has established himself as a key figure in advancing intelligent, patient-responsive rehabilitation technologies.
Research Focus
Key Achievements
Top Papers
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