Andrea Tacchino
Orcid: 0000-0002-2263-7315
According to our database1,
Andrea Tacchino
authored at least 17 papers
between 2011 and 2024.
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Bibliography
2024
Testing Dynamic Balance in People with Multiple Sclerosis: A Correlational Study between Standard Posturography and Robotic-Assistive Device.
Sensors, June, 2024
Robotic systems for upper-limb rehabilitation in multiple sclerosis: a SWOT analysis and the synergies with virtual and augmented environments.
Frontiers Robotics AI, 2024
Executive Control in a Mixed Reality Exergame for Motor-Cognitive Rehabilitation in Multiple Sclerosis.
Proceedings of the IEEE International Conference on Consumer Electronics, 2024
Exploring the Potential of Mixed Reality for Functional Assessment in Multiple Sclerosis.
Proceedings of the IEEE Gaming, Entertainment, and Media Conference, 2024
2023
Uncovering Subtle Gait Deterioration in People with Early-Stage Multiple Sclerosis Using Inertial Sensors: A 2-Year Multicenter Longitudinal Study.
Sensors, November, 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
A Biofeedback-Enhanced Virtual Exergame for Upper Limb Motor-Cognitive Rehabilitation.
Proceedings of the 11th IEEE International Conference on Serious Games and Applications for Health, 2023
Effects of Social Conditions in a Virtual Exergame for Cognitive Rehabilitation in Multiple Sclerosis.
Proceedings of the 13th IEEE International Conference on Consumer Electronics - Berlin, 2023
2022
Balance Impairments in People with Early-Stage Multiple Sclerosis: Boosting the Integration of Instrumented Assessment in Clinical Practice.
Sensors, 2022
Driving Simulator for Assessing Driving Skills of People with Multiple Sclerosis: a Pilot Study.
Proceedings of the 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2022
2017
Proceedings of the Machine Learning for Health Care Conference, 2017
2016
2015
Analysis of upper limb movement in Multiple Sclerosis subjects during common daily actions.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
A machine learning pipeline for multiple sclerosis course detection from clinical scales and patient reported outcomes.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Upper limb motor rehabilitation impacts white matter microstructure in multiple sclerosis.
NeuroImage, 2014
2013
Basal ganglia are active during motor performance recovery after a demanding motor task.
NeuroImage, 2013
2011
Impairment in explicit visuomotor sequence learning is related to loss of microstructural integrity of the corpus callosum in multiple sclerosis patients with minimal disability.
NeuroImage, 2011