Sung Ho Jang
Papers
5
Total Citations
113
H-Index
4
About
Sung Ho Jang is a prominent researcher at the intersection of neurorehabilitation, robotics, and brain imaging, with a body of work that has significantly advanced our understanding of how robotic-assisted therapy engages the human brain. His research centers on the application of functional near-infrared spectroscopy (fNIRS) to map cortical activation patterns during robot-assisted rehabilitation, providing critical neurophysiological insights that inform the design of more effective therapeutic interventions for stroke patients. Among his most influential contributions is his 2014 investigation into cortical responses generated by a rehabilitation robotic hand using fNIRS, which has garnered 43 citations and established a foundational framework for brain-robot interaction research. Building on this, Jang has systematically explored how variables such as movement speed influence cortical activation during passive rehabilitation exercises, helping clinicians and engineers optimize robotic therapy parameters based on principles of brain plasticity. His 2017 work on upper-limb exoskeleton design further demonstrates his commitment to translating neuroscientific findings into clinically relevant assistive technologies for stroke survivors with spasticity. Collectively, Jang's research bridges neuroscience and rehabilitation engineering, offering a data-driven roadmap for the next generation of intelligent, brain-informed robotic rehabilitation systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5