Zhen Gang Xiao
Papers
9
Total Citations
317
H-Index
7
About
Zhen Gang Xiao is a biomedical engineer and researcher whose work sits at the intersection of rehabilitation robotics, human-machine interfaces, and assistive technology. His research has made significant contributions to two interconnected fields: the development of force myography (FMG) as a control strategy for prosthetics and exoskeletons, and the application of brain-computer interfaces (BCIs) in stroke rehabilitation. Xiao is perhaps best known for pioneering the use of FMG to control robotic upper extremity prostheses, a 2016 study that has garnered 137 citations and established FMG as a compelling alternative to traditional electromyography-based control methods. His subsequent work demonstrated FMG's ability to mitigate the limb position effect — a longstanding challenge in prosthetic control — further validating the technique's clinical promise. Beyond prosthetics, Xiao has consistently advanced affordable, portable rehabilitation technologies for stroke survivors, exploring BCI-driven exoskeletons and 3D-printed assistive devices designed to broaden access to quality care. His 2015 evaluation of a low-cost BCI-controlled arm exoskeleton underscores his commitment to translating research into practical, patient-centered solutions. With over 300 cumulative citations, Xiao's body of work represents a meaningful step forward in empowering individuals with motor impairments.
Research Focus
Key Achievements
Top Papers
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- 4Control an exoskeleton for forearm rotation using FMG35 citations · 2014
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- 8A Portable 3D Printed 2DOF Arm Exoskeleton for Rehabilitation2 citations · 2014
- 9Detecting upper extremity activity with force myography2 citations · 2017