Federica Viggiano
Papers
3
Total Citations
45
H-Index
3
About
Federica Viggiano is a researcher at the forefront of neurorehabilitation engineering, specializing in robot-assisted therapy for hand function recovery after stroke. Her work addresses a critical gap in clinical practice: the insufficient therapy dose patients receive, particularly for hand rehabilitation, both during hospitalization and after discharge. Viggiano’s major contribution lies in developing platforms for **minimally-supervised therapy**—systems designed to operate with reduced therapist oversight, thereby increasing accessibility and treatment intensity. Her 2021 paper on this topic, with 27 citations, demonstrates the feasibility and usability of such an approach through a pilot evaluation. Additionally, Viggiano has pioneered methods for **real-time muscle tone monitoring** during robotic therapy, as shown in her 2019 proof-of-concept study (14 citations), which enables safer and more adaptive treatment. By shifting away from complex, supervision-heavy robots toward simpler, patient-centered solutions, she is making high-dose hand therapy more practical for home and clinical settings. Her work is particularly impactful for students and researchers interested in human-robot interaction, assistive technology, and scalable rehabilitation solutions that can improve long-term outcomes for stroke survivors.
Research Focus
Key Achievements
Top Papers
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