Papers
2
Total Citations
44
H-Index
2
About
Daxi Xiong is a leading researcher in rehabilitation robotics, specializing in the development of quantitative evaluation systems for post-stroke motor function recovery. His work addresses a critical gap in traditional rehabilitation, which relies on subjective, coarse-grained assessments by clinicians. Xiong’s major contributions include the design of desktop rehabilitation robots and force-feedback systems that enable precise, objective measurement of upper limb and wrist motor function in stroke patients. His 2022 paper on a quantitative evaluation system for upper limb function, which has garnered 30 citations, demonstrates a novel approach to integrating robotic technology with clinical assessment, allowing for individualized rehabilitation programs. A second highly cited work (14 citations) focuses on wrist motor function evaluation using force feedback, further advancing the field by providing fine-grained, quantitative data that surpasses conventional methods. Xiong’s research has significant implications for improving rehabilitation outcomes, offering a data-driven pathway to more effective, personalized therapy for stroke survivors. His work is foundational for researchers and clinicians seeking to merge robotics with neurorehabilitation.
Research Focus
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Top Papers
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