Fabio Digiacomo
Papers
3
Total Citations
39
H-Index
3
About
Fabio Digiacomo is a leading researcher at the intersection of rehabilitation robotics and neurorehabilitation, with a primary focus on restoring motor function in patients with neurological disorders. His work centers on two key populations: adults recovering from chronic stroke and children with cerebral palsy (CP). Digiacomo’s major contributions include pioneering the use of event-related desynchronization-synchronization (ERD/ERS) patterns to predict functional recovery during robot-assisted therapy, a breakthrough that enables personalized rehabilitation strategies. His 2016 study on stroke rehabilitation (17 citations) demonstrated how EEG-based biomarkers can forecast treatment success, addressing the critical need for patient selection in robotic interventions. In parallel, his 2019 retrospective analysis (17 citations) on exoskeleton training in children with CP provided essential evidence on optimal intervention frequency and duration, showing significant improvements in motor endurance and fitness. This work, utilizing the Lokomat® system, has helped establish robot-assisted gait training as a viable therapy for pediatric populations. With cumulative citations approaching 40, Digiacomo’s research is shaping the future of precision rehabilitation, offering clinicians data-driven tools to maximize recovery outcomes in both adult and pediatric patients.
Research Focus
Key Achievements
Top Papers
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