Papers
3
Total Citations
95
H-Index
2
About
Dali Xu is a leading researcher in neural rehabilitation engineering, with a focus on decoding human movement intent and quantifying neuromuscular impairments for advanced prosthetic and exoskeleton control. Her most impactful work, an EMG-based real-time decoding study (78 citations), pioneered a linear-nonlinear cascade regression method to simultaneously predict shoulder, elbow, and wrist movements in both able-bodied individuals and stroke survivors—a critical step toward intuitive, myoelectric-controlled rehabilitation robots. Xu also made significant contributions to understanding spasticity in cerebral palsy (15 citations), where she developed instrumented tapping and robot-controlled ankle stretch protocols to disentangle neural from non-neural contributions, providing clinicians with precise, objective metrics for treatment planning. Her recent work (2024) on individualized foot progression angle optimization for knee osteoarthritis patients demonstrates her translational focus, using biomechanical modeling to reduce medial compartment loading without disrupting natural gait. By bridging machine learning, biomechanics, and clinical neurology, Xu’s research directly addresses the gap between laboratory innovation and real-world rehabilitation, offering scalable solutions for restoring mobility after neurological injury.
Research Focus
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