Papers

3

Total Citations

48

H-Index

2

About

Piergiuseppe Liuzzi is a researcher at the forefront of neurorehabilitation engineering, with a focus on restoring motor and cognitive function after neurological injury. His work centers on two key areas: robot-assisted gait rehabilitation for post-stroke patients and the application of virtual reality for cognitive recovery after severe acquired brain injury. Liuzzi’s major contributions include a systematic review that critically analyzed how different control strategies in robotic exoskeletons affect gait patterns, providing essential guidance for designing more effective, motor-learning-based therapies. He has also pioneered the use of machine learning to predict functional outcomes following robot-assisted rehabilitation, identifying key clinical predictors that can personalize treatment plans. This work, though recent, has already garnered over 40 citations, reflecting its immediate impact on the field. Currently, Liuzzi is leading a multicentric randomized controlled trial exploring non-immersive virtual reality for cognitive rehabilitation in patients with severe brain injury, a study that promises to expand therapeutic options for this underserved population. His research bridges engineering and clinical practice, aiming to make rehabilitation more adaptive, data-driven, and patient-centered.

Research Focus

Key Achievements

2
H-Index
3
Papers
48
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Effects of control strategies on gait in robot-assisted post-stroke lower limb rehabilitation: a systematic review
41 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Piaggio (Italy), Don Carlo Gnocchi Foundation, Istituti Clinici Scientifici Maugeri

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago