Fabrizio Perroni
Papers
1
Total Citations
19
H-Index
1
About
Fabrizio Perroni’s research bridges occupational health, sensor technology, and robotics, with a focus on preventing work-related diseases in high-risk professions. His most-cited work, a 2021 literature review on sensor-based systems for firefighters, has garnered 19 citations and explores how wearable sensors can monitor physiological and environmental stressors during hazardous activities. This study underscores his contribution to developing real-time health surveillance tools that could reduce injury and illness among first responders. Perroni’s work is notable for its forward-looking perspective, integrating robotic devices to augment safety and performance in demanding jobs. By highlighting the potential of sensor-driven interventions, he has influenced both academic discourse and practical applications in occupational medicine. His research not only advances understanding of work-related disease prevention but also sets the stage for future innovations in robotic assistance. For students and researchers, Perroni’s work exemplifies how interdisciplinary approaches—combining biomechanics, engineering, and public health—can address critical challenges in worker safety, making his contributions both timely and impactful in the evolving field of occupational health technology.
Research Focus
Key Achievements
Top Papers
- 1