Francesco Zippo
Papers
1
Total Citations
2
H-Index
1
About
Francesco Zippo is a researcher at the forefront of neurorehabilitation and electrophysiological biomarker discovery. His work lies at the intersection of neural engineering and motor control, with a primary focus on developing quantitative tools to assess upper limb function. Zippo’s major contribution is the creation of a pioneering EEG-EMG dataset, recorded during a standardized reaching task both with and without exoskeleton assistance. This resource, published in 2025, is designed to uncover electrophysiological biomarkers for objective upper limb assessment, bridging the gap between neural activity and mechanical performance. Although early in its citation impact, this dataset is foundational for future studies in stroke rehabilitation and assistive robotics. By integrating high-density EEG and surface EMG, Zippo enables researchers to explore neuromechanical coupling in unprecedented detail. His work promises to transform how clinicians evaluate motor recovery, moving from subjective scales to data-driven, neurophysiological metrics. For students and researchers, Zippo’s research offers a compelling model of how rigorous dataset design can accelerate translational neuroscience.
Research Focus
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Top Papers
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