Rome: November 21st, 2024

People @ BioLab3

Alessia De Nobile, MSc

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Research chart


Address Roma Tre University
via Vito Volterra 62 - Room 3.4
I-00146 Roma - Italy
Phone Number +39 06 5733 7057
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Email alessia.denobileATuniroma3.it
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Personal Information

Alessia de Nobile is a PhD student in “Elettronica applicata” in the Department of Industrial, Electronic and Mechanical Engineering at the Roma Tre University. She holds a bachelor’s degree in Clinical Engineering from “Sapienza Università di Roma” (2020) and a master’s degree in Biomedical Engineering from “Università degli studi Roma Tre” (2022). During her master’s degree thesis (“Sensorimotor impairments in Alzheimer: novel protocols in VR”), she investigated kinematic variables that could be relevant in the differentiation between individuals affected by the Alzheimer’s disease and age-matched healthy controls, in order to characterize the change in motor skills due to the presence of the disease. Her PhD research project is entitled “Smart technologies for motor function assessment in innovative and collaborative environments” and it combines the use of Virtual Reality and collaborative robots. In this context, she assists researching activities in the BioLab3 laboratory at “Università degli studi Roma Tre” and in the Laboratory of Neuromotor Physiology at “IRCCS Fondazione Santa Lucia” (Roma).

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List of Publications

Short and Extended Abstracts appeared on International Journals
[EA1] S. Ranaldi, D. Bibbo, G. Corvini, M. Schmid, A. De Nobile, S. Conforto. Position-specific muscle coactivation in human-robot collaboration. Gait & Posture, Supplement: S37-S38, 2023
[EA2] G. Corvini, A. Ajoudani, S. Conforto, S. Ranaldi, M. Schmid, A. De Nobile, D. Bibbo. Assessing biomechanical risks in human-robot collaboration: Analysis of muscle activity with different intervention conditions. Gait & Posture, Supplement: S18-S19, 2023
[EA3] A. De Nobile, I. Borghi, P. De Pasquale, D. Berger, A. Maselli, D. Bibbo, S. Conforto, F. Lacquaniti, G. Koch, A. d'Avella, M. Russo. Anticipatory responses characterize the Alzheimer’s Disease continuum in a reaching task. Gait & Posture, Volume 105: Pages S19-S20, 2023