Chun Kwang Tan
Papers
3
Total Citations
116
H-Index
3
About
Chun Kwang Tan is a leading researcher in neurorehabilitation and biomechanics, whose work centers on decoding the neural mechanisms of gait recovery after neurological injury. His primary research areas include muscle synergy analysis, robotic exoskeleton interventions, and post-stroke motor rehabilitation. Tan’s major contributions lie in demonstrating how bioelectrically-controlled exoskeletons can restore lateral symmetry in lower limb muscle synergies—a critical factor often overlooked by conventional clinical scores. His 2018 study on acute post-stroke patients, cited 63 times, was among the first to show that robotic intervention can re-establish symmetrical muscle coordination patterns, offering a new metric for recovery. Building on this, his 2020 work (35 citations) compared subacute patients undergoing exoskeleton training versus conventional therapy, revealing distinct differences in central nervous system reorganization. Tan also extended his expertise to myelopathy patients, using the Hybrid Assistive Limb (HAL) robot suit to analyze gait changes post-decompression surgery (18 citations). His research bridges engineering and clinical neuroscience, providing objective, synergy-based tools to evaluate therapy efficacy. For students and researchers, Tan’s work exemplifies how advanced robotics and signal processing can unlock the brain’s plasticity, paving the way for personalized neurorehabilitation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3