Leonardo Capello

Scuola Superiore Sant'Anna

Papers

1

Total Citations

4

H-Index

1

About

Leonardo Capello is a researcher at the intersection of neurorehabilitation and robotics, with a primary focus on restoring sensorimotor function after neurological injury. His key research areas include somatosensory training, proprioception, and robot-aided therapy for stroke survivors. Capello’s most notable contribution is his work on the effects of robot-aided somatosensory training, as demonstrated in his 2020 paper, which has garnered 4 citations. This study explores how targeted robotic interventions can enhance proprioceptive feedback and motor recovery, offering promising avenues for post-stroke rehabilitation. By integrating robotics with sensory retraining, Capello addresses a critical gap in traditional motor therapies, which often neglect the sensory component of movement. His research has implications for designing more effective, personalized rehabilitation protocols. Though early in his career, Capello’s work is gaining traction among clinicians and engineers seeking to bridge robotics and neuroscience. His findings contribute to a growing body of evidence that technology-assisted sensory training can improve functional outcomes, making him a rising voice in the field of neurorehabilitation engineering.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Effects of a Robot-aided Somatosensory Training on Proprioception and Motor Function in Stroke Survivors
4 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Scuola Superiore Sant'Anna

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago