Manuela Ghidoni

University of Brescia

Papers

2

Total Citations

42

H-Index

2

About

Manuela Ghidoni’s research sits at the vital intersection of robotics and clinical rehabilitation, where she focuses on the rigorous validation of end-effector-based robotic systems for both upper and lower limb therapy. Her work addresses a critical gap: ensuring that these assistive devices, widely adopted by physiotherapists, are not only effective but also reliable and quantifiable in their performance. Her most cited paper (2020, 26 citations) introduces a multi-sensor validation approach, assessing system performance by analyzing patient movement, while her earlier foundational work (2019, 16 citations) provides preliminary validation, emphasizing how robots can monitor performance and deliver feedback to enhance physical therapy. Through these contributions, Ghidoni has helped establish a methodological framework for objectively evaluating rehabilitation robots, moving beyond anecdotal efficacy to data-driven proof. Her impact is felt by engineers designing safer, more precise devices and by clinicians seeking trustworthy tools to support daily rehabilitation. By bridging engineering rigor with patient-centered outcomes, Manuela Ghidoni is shaping how we validate the next generation of robotic physiotherapy aids.

Research Focus

Key Achievements

2
H-Index
2
Papers
42
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Multi-Sensor Validation Approach of an End-Effector-Based Robot for the Rehabilitation of the Upper and Lower Limb
26 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Brescia

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago