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About

Alfonso Mastropietro is a leading researcher at the intersection of neurorehabilitation, biomedical signal processing, and digital health. His work focuses on developing quantitative, data-driven methods to assess and enhance motor recovery after stroke, particularly through the integration of robotic rehabilitation and EEG biomarkers. His highly cited 2017 study (87 citations) demonstrated that quantitative EEG can predict upper limb motor recovery in chronic stroke patients undergoing robot-assisted therapy, offering a non-invasive tool to personalize rehabilitation. Expanding this line of inquiry, his 2018 work (33 citations) introduced a multiparameter approach combining clinical and instrumental evaluations to provide a more comprehensive view of post-stroke patient status. Beyond neurorehabilitation, Mastropietro has made significant contributions to digital health, as evidenced by his 2020 systematic review (62 citations) on virtual coaches for older adults’ wellbeing, which synthesized evidence on e-coaching for physical, cognitive, and emotional domains. His research bridges engineering and clinical practice, aiming to translate advanced sensing and AI into accessible, cost-effective solutions for aging populations and stroke survivors. With a growing citation impact, Mastropietro is a key figure in the push toward precision rehabilitation and technology-enabled wellness.