About

Alice De Luca is a biomedical engineer and rehabilitation robotics researcher whose work sits at the intersection of neurological rehabilitation, balance science, and assistive technology. Her research focuses on developing and validating robotic systems for assessing and rehabilitating balance, gait, and motor function in populations affected by stroke, Parkinson's disease, multiple sclerosis, and age-related decline. De Luca's most influential contributions include the design and clinical validation of hunova®, an innovative rehabilitation robot for core, balance, and lower limb training, which has garnered 54 citations since 2019. Her widely cited pilot study on robotic balance training in chronic stroke survivors (67 citations) demonstrated measurable improvements in trunk control and dynamic stability, addressing a critical gap in post-stroke rehabilitation. She also led the development of a multifactorial fall-risk predictive model for older adults (57 citations), offering clinicians a powerful early-intervention tool. Across her portfolio, De Luca has consistently advanced the quantification of balance across the human lifespan and explored how exoskeleton design and gait training protocols influence muscular recovery. With over 350 cumulative citations, her work has meaningfully shaped evidence-based robotic rehabilitation, making her a significant voice in translational neurorehabilitation research.

Research Focus

Key Achievements

11
H-Index
19
Papers
418
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic Stability and Trunk Control Improvements Following Robotic Balance and Core Stability Training in Chronic Stroke Survivors: A Pilot Study
67 citations · 2020
📈 Most Prolific Year: 2020 (5 Papers)
🤝 Key Collaborators: 78
🏛 Institutions: University of Genoa, Technology Transfer and Innovation (Italy), Italian Institute of Technology, Ospedale Santa Corona

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago