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About

Agnese Bruschi is at the forefront of neurorehabilitation engineering, specializing in the design of assistive robotic systems and the electrophysiological assessment of upper-limb function. Her research bridges the gap between mechanical exoskeleton design and neural biomarker discovery, aiming to create more adaptive and patient-centered rehabilitation technologies. Bruschi’s most influential work, "A Gravity-Compensated Upper-Limb Exoskeleton for Functional Rehabilitation of the Shoulder Complex" (2022, 49 citations), addresses a critical limitation in existing devices: the restriction of natural body movement. By developing a gravity-compensating mechanism, her exoskeleton allows for greater mobility and more functional, task-oriented therapy, moving beyond static, fixed-posture systems. More recently, Bruschi has pioneered the integration of neural and muscular signals for objective assessment. Her 2025 work, "An EEG-EMG dataset from a standardized reaching task for biomarker research in upper limb assessment," provides a rich, open-access resource of high-density EEG and surface EMG data. This dataset is designed to identify electrophysiological biomarkers that can quantify motor recovery and the efficacy of robotic assistance, laying the groundwork for closed-loop, biomarker-driven rehabilitation protocols. Through her combined focus on innovative hardware and data-driven neural assessment, Bruschi is shaping the future of personalized, evidence-based neurorehabilitation.