Hayate Tohnan

Kobe University

Papers

1

Total Citations

6

H-Index

1

About

Hayate Tohnan is a researcher at the intersection of surgical robotics and human factors engineering, with a primary focus on enhancing safety and performance in robot-assisted laparoscopic surgery. Their most cited work, "A Method for Estimating Doctor's Fatigue Level in Operating a Surgical Robot Using Wearable Sensors" (2021, 6 citations), tackles a critical yet overlooked problem: surgeons using systems like the da Vinci may operate for extended periods without recognizing accumulating fatigue, risking concentration loss and patient safety. Tohnan’s key contribution lies in developing a wearable sensor-based method to objectively estimate a surgeon’s fatigue level in real time, offering a data-driven approach to prevent performance degradation during long procedures. This work bridges the gap between ergonomics and surgical robotics, providing a foundation for future alert systems that could prompt timely breaks. Though early in their career, Tohnan’s research has already drawn attention for its practical implications in improving surgical outcomes and operator well-being. By addressing the subtle, often ignored signs of fatigue, Tohnan is helping to shape a safer, more human-centered future for robotic surgery.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
A Method for Estimating Doctor's Fatigue Level in Operating a Surgical Robot Using Wearable Sensors
6 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Kobe University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago