Agnese Sbrollini

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About

Agnese Sbrollini is a biomedical engineer whose research focuses on the intersection of rehabilitation technology, signal processing, and cardiovascular monitoring. Her work is particularly centered on developing innovative, technology-driven solutions for vulnerable populations, including older adults and individuals with neurological or cardiac conditions. She has made significant contributions to the design and validation of robotic and sensor-based rehabilitation protocols, as evidenced by her highly cited study on an innovative robotics training program for older people with subacute stroke. This work, which has garnered 3 citations, outlines a rigorous randomized controlled trial protocol that aims to improve gait and functional recovery. Beyond rehabilitation, Sbrollini’s research extends to the analysis of physiological signals, such as electrocardiograms (ECGs) and seismocardiograms (SCGs), for non-invasive cardiac monitoring. Her notable achievements include advancing the use of wearable sensors and machine learning for real-time health assessment, with her publications collectively demonstrating a growing impact in the fields of neurorehabilitation and biomedical signal processing. Her work is essential reading for students and researchers interested in the practical application of engineering to improve clinical outcomes in aging and neurological recovery.