Papers
2
Total Citations
44
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2
About
Liquan Guo is a leading researcher in the field of rehabilitation robotics, with a specific focus on the quantitative assessment of motor function recovery in stroke patients. His work addresses a critical gap in traditional rehabilitation, which often relies on subjective, coarse-grained evaluations by therapists. Guo’s major contributions lie in developing intelligent, data-driven evaluation systems that leverage robotic technology to provide precise, objective measurements of upper limb and wrist motor function. His highly cited 2022 paper on a desktop rehabilitation robot for upper limb assessment has garnered 30 citations, while his subsequent work on force-feedback-based wrist evaluation has received 14 citations. These systems not only automate the evaluation process but also generate individualized rehabilitation training programs, significantly enhancing the precision and personalization of post-stroke care. By integrating force feedback and quantitative metrics, Guo’s research is paving the way for more effective, technology-assisted neurorehabilitation, offering a promising alternative to conventional, doctor-led assessments.
Research Focus
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