Papers
2
Total Citations
2
H-Index
1
About
Wenqian Cai is a researcher at the forefront of neurorehabilitation engineering, specializing in the integration of robotics, virtual reality (VR), and functional near-infrared spectroscopy (fNIRS) to understand and enhance motor recovery. Her work centers on developing intelligent, quantitative assessment tools and novel training paradigms for upper limb rehabilitation. A major contribution is her pioneering investigation into cortical activation patterns during robot-assisted dynamic and static resistance training combined with VR interaction, using fNIRS to reveal the neural mechanisms underlying different training modalities. This work, published in 2023, provides critical insights for optimizing rehabilitation protocols. Additionally, Cai has advanced the field by constructing a multi-dimensional, intelligent quantitative assessment framework for upper limb function based on kinematic parameters (2024), moving beyond subjective clinical scales to provide objective, data-driven evaluations of motor control. While her most cited papers are recent, with 1 citation each, they represent foundational steps in a rapidly evolving field. Her research is poised to significantly impact personalized rehabilitation, offering a path toward more effective, evidence-based therapies for patients with motor impairments.
Research Focus
Key Achievements
Top Papers
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- 2