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Arianna Cruciani
Researcher at Catholic University of the Sacred Heart
Publications - 24
Citations - 410
Arianna Cruciani is an academic researcher from Catholic University of the Sacred Heart. The author has contributed to research in topics: Rehabilitation & Randomized controlled trial. The author has an hindex of 8, co-authored 23 publications receiving 205 citations.
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Journal ArticleDOI
Upper Limb Robotic Rehabilitation After Stroke: A Multicenter, Randomized Clinical Trial.
Irene Aprile,Marco Germanotta,Arianna Cruciani,Simona Loreti,Cristiano Pecchioli,Francesca Cecchi,Angelo Montesano,Silvia Galeri,Manuela Diverio,Catuscia Falsini,Gabriele Speranza,Emanuele Langone,Dionysia Papadopoulou,Luca Padua,Maria Chiara Carrozza +14 more
TL;DR: Robotic treatment using a set of 4 devices significantly improved UL motor function, activities, and participation in subjects with subacute stroke to the same extent as a similar amount of conventional therapy.
Journal ArticleDOI
Robotic and Sensor Technology for Upper Limb Rehabilitation
Iris Jakob,Alexander Kollreider,Marco Germanotta,Filippo Benetti,Arianna Cruciani,Luca Padua,Irene Aprile +6 more
TL;DR: A multidisciplinary team of the Fondazione Don Carlo Gnocchi, an Italian nonprofit foundation, developed a strategy for the implementation of robotic rehabilitation within the FDG centers, and showed that robotic group therapy costs less than half per session in Germany than standard individual arm therapy with equivalent outcomes.
Journal ArticleDOI
Reliability, validity and discriminant ability of a robotic device for finger training in patients with subacute stroke
Marco Germanotta,Valerio Gower,Dionysia Papadopoulou,Arianna Cruciani,Cristiano Pecchioli,Rita Mosca,Gabriele Speranza,Catuscia Falsini,Francesca Cecchi,Federica Vannetti,Angelo Montesano,Silvia Galeri,Furio Gramatica,Irene Aprile +13 more
TL;DR: Finger strength (in both flexion and extension) and muscle tone, as provided by a robotic device for hand rehabilitation, are reliable and sensitive measures that could be considered as clinically relevant and used to assess the effect of a rehabilitation treatment in patients with subacute stroke.
Journal ArticleDOI
Reliability, validity and discriminant ability of the instrumental indices provided by a novel planar robotic device for upper limb rehabilitation
Marco Germanotta,Arianna Cruciani,Cristiano Pecchioli,Simona Loreti,Albino Spedicato,Matteo Meotti,Rita Mosca,Gabriele Speranza,Francesca Cecchi,Giorgia Giannarelli,Luca Padua,Irene Aprile +11 more
TL;DR: All the robotic indices except one provided by a novel robotic device for upper limb rehabilitation are reliable, sensitive and strongly correlated both with motor and disability clinical scales.
Journal ArticleDOI
Prediction of Falls in Subjects Suffering From Parkinson Disease, Multiple Sclerosis, and Stroke.
Ettore Beghi,Elisa Gervasoni,Elisabetta Pupillo,Elisa Bianchi,Angelo Montesano,Irene Aprile,Michela Agostini,M. Rovaris,Davide Cattaneo,Gianluca Iacobone,Johanna Jonsdottir,Alessandra Rodanò,Silvia Romi,Rita Russo,Francesca Tettamanzi,Arianna Cruciani,Isabella Imbimbo,Andrea Polli,Andrea Turolla +18 more
TL;DR: PD, MS, and stroke carry a high risk of falls and other predictors include perceived balance confidence and high educational level, which is associated with disease type and confidence with balance.