Papers
2
Total Citations
6
H-Index
2
About
Seung Hyun Lee is a researcher at the intersection of brain-computer interfaces, rehabilitation robotics, and image-guided neurosurgery. His work focuses on decoding neural signals for motor rehabilitation and developing precision tracking systems for surgical robotics. In his most cited study (2015, 4 citations), Lee applied the Common Spatial Pattern algorithm to classify cortical activation patterns associated with finger movements, aiming to enhance upper-limb rehabilitation robots driven by brain signals. This work demonstrated a novel feature extraction method that improved classification accuracy across four subjects performing distinct finger motions. Earlier, Lee contributed to neurosurgical precision with a 2013 study (2 citations) that integrated bipolar X-ray fluoroscopy, stereo vision, and augmented reality for coordinate tracking. By aligning the optical axis of an X-ray source with an optical sensor mounted on a C-arm fluoroscope, his system enabled more accurate instrument localization during robot-assisted neurosurgery. Though his citation counts are modest, Lee’s dual focus on brain-signal decoding and surgical navigation highlights a commitment to translating computational methods into clinical tools—bridging the gap between neural engineering and practical robotic assistance for rehabilitation and surgery.
Research Focus
Key Achievements
Top Papers
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