Raffaello Pellegrino
LUdeS University, Ospedale Santa Chiara, Semmelweis University
Papers
3
Total Citations
24
H-Index
2
About
Raffaello Pellegrino is a leading researcher at the intersection of pediatric neurology, robotic rehabilitation, and advanced neuroimaging. His work primarily focuses on cerebral palsy (CP) and stroke recovery, where he investigates how robotic-assisted gait training (RAGT) and machine learning can enhance motor function. Pellegrino’s key contributions include pioneering the use of infrared imaging and functional near-infrared spectroscopy (fNIRS) to assess cortical plasticity in children with CP undergoing robotic therapy, revealing how RAGT reshapes neural pathways. His 2022 study on psychophysiological assessment during RAGT (12 citations) provides a non-invasive method to monitor treatment efficacy, while his 2024 work integrating machine learning with robotic rehabilitation (10 citations) offers predictive models for upper-limb recovery in stroke survivors. These studies highlight his commitment to personalizing neurorehabilitation through data-driven insights. Pellegrino’s research has significant clinical impact, offering tools to optimize therapy intensity and duration. His notable achievement includes demonstrating that ML can identify optimal rehabilitation strategies, potentially reducing recovery time. With a growing citation record, Pellegrino is shaping the future of neurorehabilitation by merging robotics, brain imaging, and artificial intelligence.
Research Focus
Key Achievements
Top Papers
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