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About

Sisi Huang is a leading researcher in neurorehabilitation, specializing in brain-computer interfaces (BCIs) and robotic-assisted therapy for spinal cord injury (SCI). Her work bridges cutting-edge technology with clinical application, focusing on restoring motor function and improving physiological outcomes in individuals with paralysis. Huang’s most-cited study, "BCI system with lower-limb robot improves rehabilitation in spinal cord injury patients through short-term training: a pilot study" (2022, 29 citations), demonstrates how integrating neural signals with robotic exoskeletons can accelerate recovery, even in brief interventions. She further advanced the field with her systematic review and meta-analysis on robot-assisted gait training (RAGT), which critically evaluated its effects on cardiopulmonary function and lower extremity strength—a vital contribution given RAGT’s growing clinical adoption. By synthesizing evidence on both motor and cardiovascular benefits, Huang has helped shape rehabilitation protocols that are more holistic and data-driven. Her work is particularly impactful for students and clinicians seeking evidence-based approaches to SCI rehabilitation, highlighting how technology can restore not just movement, but overall health and independence.