Yusuke Matsuoka
Papers
7
Total Citations
80
H-Index
6
About
Yusuke Matsuoka is a pioneering researcher in medical robotics and patient simulation, with a focus on developing high-fidelity training systems for neurologic and airway management procedures. His work centers on creating robotic patient models that realistically simulate human anatomy and disease conditions, enabling novice medical staff to practice critical examination skills in a controlled, quantitative environment. Matsuoka’s most cited paper, “Development of an arm robot for neurologic examination training” (2012, 24 citations), introduced a robotic platform that mimics neurological symptoms for hands-on training. He further advanced the field with a human-like neurologic model (2013, 13 citations) that simulates the effects of diseases, and the airway management training system WKA-5 (2012, 12 citations), which improved mechanical design for realistic patient simulation. His innovative flow sensor for bag valve mask operation (2011, 10 citations) provides quantitative feedback during emergency training. Matsuoka’s contributions bridge robotics and medical education, offering tools that enhance skill acquisition and diagnostic accuracy. His work on cranial nerve examination robots and 3D simulation platforms underscores his commitment to creating immersive, effective training solutions that reduce reliance on live patients and improve patient safety.
Research Focus
Key Achievements
Top Papers
- 1Development of an arm robot for neurologic examination training24 citations · 2012
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- 6Development of a face robot for cranial nerves examination training6 citations · 2012
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