Papers
2
Total Citations
20
H-Index
2
About
Dr. Stefania Proietti is a leading researcher in neurorehabilitation engineering, with a focus on leveraging robotic technology to transform stroke recovery assessment. Her primary research areas include upper-limb robot-assisted therapy (ulRT), kinematic analysis, and predictive modeling for motor recovery. Dr. Proietti’s major contributions center on establishing robot-measured kinematic data as novel, objective biomarkers for stroke patients. Her highly cited 2021 work demonstrated that retrospective kinematic data from robotic therapy sessions can reliably track biomechanical changes and patient progress, offering a quantitative alternative to subjective clinical scales. Building on this, her 2022 study showed that baseline kinematic metrics can predict discharge outcomes in subacute stroke survivors, enabling clinicians to tailor rehabilitation intensity and duration for individual patients. With over 20 citations across her most influential papers, Dr. Proietti’s research is pivotal in shifting stroke rehabilitation from reactive to predictive care. Her work not only validates the efficacy of robotic therapy but also pioneers data-driven tools that enhance clinical decision-making, making her a key figure in the integration of engineering and medicine for neurological recovery.
Research Focus
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Top Papers
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