Daniele Lozzi
Papers
2
Total Citations
20
H-Index
2
About
Daniele Lozzi is a researcher at the forefront of assistive and rehabilitative technologies, with a primary focus on telerehabilitation and brain-computer interfaces (BCIs). His work bridges the gap between patient needs and advanced computational systems, aiming to restore motor function and independence. Lozzi’s most cited paper introduces the “Virtual Glove System,” a novel framework for patient-therapist cooperative hand telerehabilitation. This system integrates assistive technologies like virtual reality and tracking to make post-stroke or post-surgery therapy reproducible and quantifiable, allowing clinicians to record patient progress remotely—a contribution that has already garnered 15 citations. In parallel, Lozzi is advancing EEG-based BCI classification, analyzing deep learning architectures to decode motor execution from neurophysiological signals. This work, cited 5 times, targets the control of external devices like robotic arms, filling critical gaps in active BCI systems. By combining rigorous deep learning analysis with practical rehabilitation frameworks, Lozzi is shaping a future where technology seamlessly supports human recovery and mobility.
Research Focus
Key Achievements
Top Papers
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