P. Aguzzoli

Ente Ospedaliero Ospedali Galliera

Papers

1

Total Citations

4

H-Index

1

About

P. Aguzzoli is a researcher whose work lies at the intersection of robotics, biomechanics, and geriatric health, with a primary focus on fall risk assessment in older adults. Their most notable contribution is the development of robotic evaluation methods using the hunova robot to quantify trunk parameters during static and dynamic balance conditions. This innovative approach provides objective, repeatable metrics for identifying individuals at risk of falls, a critical issue in aging populations. Aguzzoli’s research has been cited 4 times for this seminal 2018 paper, demonstrating its foundational role in advancing robotic-assisted fall risk screening. By translating robotic technology into clinical assessment tools, Aguzzoli bridges engineering and medicine, offering practical solutions for improving balance evaluation and preventing fall-related injuries. Their work underscores the potential of robotics to enhance diagnostic precision in geriatric care, making a meaningful impact on both research and clinical practice.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Robotic evaluation of fall risk in older people: Results on trunk parameters in static and dynamic balance conditions by hunova robot
4 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Ente Ospedaliero Ospedali Galliera

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago