Joungseung Lee
Papers
1
Total Citations
2
H-Index
1
About
Joungseung Lee is a researcher at the forefront of neurorehabilitation robotics, with a focused expertise in brain-computer interface (BCI) systems for post-stroke motor recovery. His most cited work, "Patient-tailored classification for a NIRS triggered hand rehabilitation robot" (2018, 2 citations), introduces a pioneering approach that uses near-infrared spectroscopy (NIRS) to detect brain signals from the motor cortex, which then trigger a robotic hand orthosis to assist movement in the affected limb. This patient-tailored classification method represents a significant contribution to personalized neurorehabilitation, allowing the robot to adapt to individual neural patterns rather than using a one-size-fits-all algorithm. Lee's research directly addresses the critical need for closed-loop, brain-driven therapy that can enhance neuroplasticity and functional recovery in stroke survivors. By integrating non-invasive brain sensing with robotic assistance, his work bridges the gap between neural intention and physical action, offering a promising pathway toward more effective, patient-centered rehabilitation technologies.
Research Focus
Key Achievements
Top Papers
- 1