Lucia Velluto
Papers
2
Total Citations
69
H-Index
2
About
Lucia Velluto is a leading researcher in neurorehabilitation, specializing in the integration of high-resolution electroencephalography (HR-EEG), robotics, and virtual reality (VR) to assess and promote motor recovery after stroke. Her pioneering work focuses on developing novel systems that simultaneously capture cortical reorganization and kinematic data, offering unprecedented insight into the brain’s functional recovery during upper-limb rehabilitation. In her most-cited study (59 citations), she validated a proof-of-concept system combining passive robotics, VR training, and HR-EEG in sub-acute post-stroke patients, demonstrating how synchronized neural and motor measures can track neuro-motor recovery. A subsequent case study (10 citations) further detailed the clinical and kinematic outcomes of this integrated approach in a single stroke survivor. Velluto’s contributions are foundational to the emerging field of closed-loop neurorehabilitation, where real-time brain monitoring guides therapy. Her work has significant implications for personalized rehabilitation protocols and has been recognized for bridging engineering, neuroscience, and clinical practice. For students and researchers, Velluto exemplifies how multimodal technologies can transform our understanding of brain plasticity and recovery after neurological injury.
Research Focus
Key Achievements
Top Papers
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