Papers
6
Total Citations
292
H-Index
5
About
Zhiyuan Lu is a biomedical engineer and rehabilitation researcher whose work sits at the intersection of neural engineering, human-machine interfaces, and robotic-assisted rehabilitation. His research has focused primarily on myoelectric pattern recognition — the use of electromyography (EMG) signals to decode user movement intent — and its application in controlling robotic exoskeletons for individuals with neurological injuries, including stroke and spinal cord injury (SCI). Lu's most influential contribution is his pioneering work demonstrating the feasibility and real-time efficacy of EMG-driven robotic hand control in clinical populations. His 2018 feasibility study in stroke patients (99 citations) and his 2016 real-time exoskeleton control paper (78 citations) helped establish the translational viability of pattern recognition-based systems beyond laboratory prosthetics research. His work with SCI patients further extended the field's understanding of how severely impaired populations can benefit from intention-driven robotic training. Collectively accumulating nearly 300 citations, Lu's research has meaningfully advanced rehabilitation robotics by bridging signal processing, machine learning, and clinical application. His more recent exploration of how botulinum toxin treatment may enhance myoelectric signal quality reflects his continued commitment to optimizing rehabilitation outcomes through interdisciplinary innovation.
Research Focus
Key Achievements
Top Papers
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