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Peppino Tropea

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Articles

IFRA: a machine learning-based Instrumented Fall Risk Assessment Scale derived from Instrumented Timed Up and Go test in stroke patients

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By Alessandro Carfi, Peppino Tropea, Massimo Corbo, Alessio Capitanelli
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Differential Item Functioning of the Mini-BESTest Balance Measure: A Rasch Analysis Study

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By Antonio Caronni, Michela Picardi, Stefano Scarano, Peppino Tropea
| MDPI
Open AccessArticle by Antonio Caronni 1,*, Michela Picardi 2, Stefano Scarano 1,3, Peppino Tropea 2, Giulia Gilardone 2, Nadia Bolognini 1,4, Valentina Redaelli 2, Giuseppe Pintavalle 2, Evdoxia Aristidou 2, Paola Antoniotti 2 and Massimo Corbo 2 1 IRCCS Istituto Auxologico Italiano, Department of Neurorehabilitation Sciences, Ospedale San Luca, 20149 Milano, Italy 2 Department of Neurorehabilitation Sciences, Casa di Cura Igea, 20144 Milano, Italy 3 Department of Biomedical Sciences for...
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Rehabilitation, the Great Absentee of Virtual Coaching in Medical Care: Scoping Review

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By Peppino Tropea, Hannes Schlieter, Irma Sterpi, Elda Judica
| jmir.org
Citation Please cite as: Loading authors... Download: Published on 01.10.19 in Vol 21, No 10 (2019): October Preprints (earlier versions) of this paper are available at http://preprints.jmir.org/preprint/12805, first published Nov 21, 2018.
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