Zhenjin Tang

Papers

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About

Zhenjin Tang is a researcher whose work sits at the intersection of rehabilitation robotics and neuroscience, with a specific focus on stroke recovery. His primary research area involves the design and development of MRI-compatible finger rehabilitation exoskeletons. Tang’s major contribution is pioneering robotic devices that serve a dual purpose: they act as precise rehabilitation training tools for stroke patients and simultaneously enable real-time brain imaging during therapy. His most cited paper (2013, 19 citations) introduces a second-generation finger exoskeleton designed for this very purpose, allowing researchers to study the brain’s recovery process during rehabilitation. Tang has advanced this concept through iterative design, developing compact, one-degree-of-freedom devices that employ ultrasonic motors and novel six-link mechanisms to accommodate different finger phalange lengths. His work on MRI compatibility (2015, 3 citations) is particularly notable, as it addresses the significant engineering challenge of creating robotic systems that function safely and effectively within the high magnetic fields of an MRI scanner. By bridging the gap between robotic therapy and neuroimaging, Tang’s research provides critical tools for understanding how the brain reorganizes after a stroke, offering a pathway toward more effective, personalized rehabilitation protocols.