Papers

2

Total Citations

20

H-Index

2

About

Xu Qiao is a leading researcher in neurorehabilitation engineering, with a primary focus on developing and evaluating robotic systems for post-stroke motor recovery. Her work centers on the critical question of how to optimize upper and lower limb rehabilitation through advanced robotic interventions. Qiao’s most significant contribution is her 2023 single-blinded three-arm randomized controlled trial, which rigorously compared unilateral versus bilateral robot-assisted rehabilitation using a novel three-dimensional end-effector robot. This study, cited 15 times, provided high-level evidence that targeted robotic training can significantly improve motor function and activities of daily living in hemiplegic stroke patients, moving beyond conventional therapy. More recently, her 2025 prospective cohort study has pushed the field forward by integrating mirror therapy principles with robotic training, and—crucially—by using brain network monitoring to understand the neural mechanisms underlying recovery. This work, with 5 citations, represents a pioneering step toward personalized, neurophysiologically-informed rehabilitation. By combining rigorous clinical trial design with cutting-edge robotics and neuroimaging, Xu Qiao is not only demonstrating the efficacy of these technologies but also illuminating how they reshape the brain, making her a pivotal figure in the future of stroke rehabilitation.

Research Focus

Key Achievements

2
H-Index
2
Papers
20
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Effects of Uni- vs. Bilateral Upper Limb Robot-Assisted Rehabilitation on Motor Function, Activities of Daily Living, and Electromyography in Hemiplegic Stroke: A Single-Blinded Three-Arm Randomized Controlled Trial
15 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Hong Kong Polytechnic University, Sichuan University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago