Papers
16
Total Citations
1,590
H-Index
12
About
Vicky Chan’s research lies at the intersection of neurorehabilitation, robotics, and motor learning, with a focus on restoring upper-limb function after stroke. Her major contributions include developing compliant, assist-as-needed robotic controllers that promote neurorehabilitation by balancing mechanical support with patient effort—a principle articulated in her highly cited 2008 paper (509 citations). She also pioneered standardized methods for the Fugl-Meyer Assessment (308 citations), improving clinical trial reliability. Chan’s work on Hebbian-model robotic training demonstrated that low levels of assistance can enhance motor learning, as shown in a 2017 randomized controlled trial (124 citations). She led the development of the BONES exoskeleton, enabling multi-degree-of-freedom functional training (121 citations), and identified somatosensory system integrity as a key predictor of treatment response (112 citations). Her studies on finger proprioception and corticospinal tract injury have advanced understanding of neural correlates underlying recovery. With over 1,500 total citations across her top papers, Chan’s research has shaped evidence-based robotic therapy design, emphasizing personalized, sensorimotor-driven interventions that improve outcomes for chronic stroke survivors.
Research Focus
Key Achievements
Top Papers
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- 8Neural Correlates of Passive Position Finger Sense After Stroke54 citations · 2019
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