Rachel Lai‐Chu Kwan

Papers

Total Citations

118

H-Index

About

Rachel Lai-Chu Kwan is a leading researcher in neurorehabilitation, specializing in robotic-assisted therapy and gait training for individuals with spinal cord injury (SCI). Her work focuses on integrating advanced technologies—such as robotic exoskeletons and electromyography (EMG) biofeedback—to enhance motor recovery and cardiopulmonary function after neurological injury. Kwan’s 2017 meta-analysis on robot-assisted training for SCI, cited over 75 times, provided critical evidence that robotic therapy can improve walking ability and reduce therapist fatigue, establishing a foundation for clinical adoption. Her 2019 randomized controlled trial, with 43 citations, demonstrated that combining EMG-biofeedback with robotic body weight supported treadmill training significantly boosts walking outcomes and cardiorespiratory fitness in subacute SCI patients. This study highlighted how real-time muscle feedback can optimize rehabilitation intensity and patient engagement. Kwan’s contributions bridge engineering and clinical practice, offering scalable, evidence-based solutions for restoring mobility. Her work is widely referenced in rehabilitation robotics and neurorehabilitation guidelines, underscoring her impact on improving quality of life for individuals with paralysis.