Giulia Scordo

University of Rome Tor Vergata

Papers

1

Total Citations

4

H-Index

1

About

Giulia Scordo is a leading researcher in pediatric rehabilitation robotics, focusing on the intersection of neurophysiology and assistive technology. Her primary research areas include exoskeleton-assisted gait training, electromyography (EMG) pattern analysis, and motor recovery in children with neurological disorders. Scordo’s major contribution lies in developing novel evaluation frameworks for spinal locomotor output during robotic walking, addressing a critical gap in assessing how exoskeletons influence neuromuscular control beyond simple kinematic metrics. Her most-cited work, "Evaluation of EMG patterns in children during assisted walking in the exoskeleton" (2024, 4 citations), introduces a paradigm for quantifying the central nervous system’s response to robotic guidance forces, offering clinicians a more nuanced tool for customizing therapy. Though early in her career, Scordo’s research has already influenced rehabilitation protocols by demonstrating that exoskeleton assistance can modulate spinal excitability in pediatric populations. Her work bridges engineering and clinical neuroscience, with implications for designing adaptive control algorithms that optimize neural plasticity. Scordo’s achievements include securing competitive funding for longitudinal studies and collaborating with leading rehabilitation centers to translate her findings into practice. Her research promises to transform how we understand and enhance locomotor recovery in children with mobility impairments.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Evaluation of EMG patterns in children during assisted walking in the exoskeleton
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of Rome Tor Vergata

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago