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About

Giovanna Rizzo is a leading researcher at the intersection of neurorehabilitation, biomedical signal processing, and assistive technologies for aging and neurological populations. Her work focuses on leveraging quantitative EEG, robotic rehabilitation, and virtual coaching to improve motor and cognitive outcomes in stroke and Parkinson’s disease patients. One of her most cited contributions is a 2017 study demonstrating how quantitative EEG can predict upper limb motor recovery in chronic stroke patients undergoing robot-assisted rehabilitation (87 citations), offering a neurophysiological biomarker to personalize therapy. She also led a systematic review on virtual coaches for older adults’ wellbeing (62 citations), highlighting the potential of e-coaching for physical, nutritional, and emotional support. Rizzo’s multiparameter approach to post-stroke evaluation (33 citations) integrates clinical and instrumental assessments to guide rehabilitation, while her innovative SI-ROBOTICS protocol explores Irish dancing as a therapeutic intervention for Parkinson’s disease (17 citations). Her work has been instrumental in advancing data-driven, patient-centered rehabilitation strategies, with strong translational impact in both clinical and technological domains.