Chiara Simbolotti

Don Carlo Gnocchi Foundation

Papers

2

Total Citations

49

H-Index

2

About

Chiara Simbolotti’s research sits at the intersection of neurorehabilitation and robotics, with a primary focus on restoring motor function after neurological injury. Her most cited work investigates the efficacy of end-effector Robot-Assisted Gait Training (RAGT) in subacute stroke patients, demonstrating that robotic therapy can significantly improve clinical and gait outcomes compared to conventional training. This pilot bi-centre study, which has garnered 39 citations, provides crucial evidence for integrating robotic devices into early stroke rehabilitation protocols. Simbolotti also explores the effects of muscle focal vibration on upper limb motor performance, using robotic devices to objectively quantify improvements in healthy subjects. Her work is notable for bridging the gap between experimental neurorehabilitation techniques and practical clinical applications, offering measurable, device-based assessments of motor recovery. By combining robotic technology with targeted sensory stimulation, Simbolotti is helping to define new, evidence-based pathways for post-stroke rehabilitation, making her a key contributor to the growing field of technology-assisted neurorecovery.

Research Focus

Key Achievements

2
H-Index
2
Papers
49
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Efficacy of end-effector Robot-Assisted Gait Training in subacute stroke patients: Clinical and gait outcomes from a pilot bi-centre study
39 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Don Carlo Gnocchi Foundation

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago