M. Giacobbi

Papers

3

Total Citations

129

H-Index

3

About

M. Giacobbi is a leading researcher in neurorehabilitation engineering, specializing in the quantitative assessment of upper limb function using robotic exoskeletons. Their major contributions center on developing and validating instrumental indices—such as movement accuracy, speed, and smoothness—that objectively capture motor recovery in stroke patients and children with brain injuries. Giacobbi’s seminal 2013 paper established normative values for these robotic-based metrics, accumulating 58 citations and providing a critical benchmark for clinical evaluations. A subsequent 2016 validation study (50 citations) confirmed the reliability of these indices in stroke populations, demonstrating how robot-assisted tasks with devices like the Armeo®Spring can replace subjective functional scales. Notably, Giacobbi extended this work to pediatric populations in a 2018 observational study (21 citations), showing that movement velocity and fluidity significantly improve after robotic rehabilitation in children with cerebral palsy and acquired brain injury. This research bridges the gap between engineering and clinical practice, offering therapists precise, data-driven tools to track recovery. Giacobbi’s work has been instrumental in moving upper limb assessment from qualitative observation to quantitative, reproducible metrics, directly impacting rehabilitation protocols for both adult and pediatric patients.

Research Focus

Key Achievements

3
H-Index
3
Papers
129
Total Citations
43
Avg Citations/Paper
🏆 Most Cited Paper
Upper limb evaluation with robotic exoskeleton. Normative values for indices of accuracy, speed and smoothness
58 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 16

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago