Qiang Cai
Papers
1
Total Citations
9
H-Index
1
About
Qiang Cai is a leading researcher in neurorehabilitation and stroke recovery, with a primary focus on robot-assisted gait training (RAGT) for post-stroke survivors. His work systematically investigates how robotic technologies can enhance motor performance of the lower limb, addressing critical gaps in rehabilitation protocols. His most-cited paper, a 2024 systematic review with meta-analysis, synthesizes evidence from multiple trials to evaluate RAGT’s effectiveness in improving walking ability and to determine optimal training dosages—a contribution that directly informs clinical practice. With 9 citations already, this work underscores his impact in translating engineering innovations into evidence-based rehabilitation strategies. Cai’s research bridges biomechanics, robotics, and neurology, offering practical guidelines for task-specific training intensity and duration. His findings are pivotal for clinicians designing personalized recovery programs, and his meta-analytical approach sets a standard for future studies in the field. Through rigorous methodology and patient-centered outcomes, Cai is shaping the future of post-stroke motor rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1