Zhihang Zhong
Papers
2
Total Citations
24
H-Index
2
About
Zhihang Zhong is a pioneering researcher at the intersection of robotics and nursing education, with a primary focus on developing intelligent patient simulators to enhance clinical training. His groundbreaking work centers on creating robot patients equipped with advanced sensor systems—including inertial measurement units and angular position sensors—that can accurately replicate human patient movements and responses during nursing procedures. Zhong's major contributions include the development of a transfer skills evaluation system that objectively assesses nurses' patient-handling techniques, as well as lower-limb robotic platforms that reproduce sit-to-stand movements under both correct and incorrect transfer applications. His 2020 study on robot patient validation has garnered 16 citations, while his 2021 work on lower-limb movement reproduction has received 8 citations, establishing a foundation for evidence-based nursing education. By enabling trainees to practice on realistic, sensor-rich robotic patients rather than human volunteers, Zhong's innovations address critical training gaps in an aging society, offering safer, more repeatable, and objectively measurable skill development for healthcare professionals.
Research Focus
Key Achievements
Top Papers
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