Andrea Scoglio
Papers
1
Total Citations
5
H-Index
1
About
Andrea Scoglio is a researcher at the intersection of rehabilitation engineering and clinical decision support, with a primary focus on improving stroke recovery through robotic-assisted therapy. Her key contributions lie in developing predictive tools that help clinicians interpret complex performance data from robotic platforms and serious games, addressing two critical challenges: translating game-based or robotic measures into meaningful motor recovery insights, and optimizing the duration of rehabilitation interventions. Her most cited work, "A Decision Support System to Provide an Ongoing Prediction of Robot-Assisted Rehabilitation Outcome in Stroke Survivors" (2023), introduces a novel framework that enables real-time outcome prediction, empowering clinicians to make data-driven decisions about patient care. This system bridges the gap between raw robotic metrics and clinical utility, offering a practical solution to the often opaque nature of rehabilitation technology. With growing recognition in the field, Scoglio’s research is paving the way for more personalized, efficient stroke rehabilitation protocols. Her work not only advances assistive robotics but also demonstrates a commitment to translating engineering innovations into tangible clinical impact, making her a notable emerging voice in neurorehabilitation and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1