Francesca Marini
Istituto Italiano di Tecnologia
33 Papers
78 Citations
Francesca Marini is an academic researcher from Istituto Italiano di Tecnologia. The author has contributed to research in topics: Proprioception & Motor control. The author has an hindex of 10, co-authored 31 publications.
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Papers
Experimental evaluation of accuracy and repeatability of a novel body-to-sensor calibration procedure for inertial sensor-based gait analysis
Eduardo Palermo,Stefano Rossi,Francesca Marini,Fabrizio Patanè,Fabrizio Patanè,Paolo Cappa,Paolo Cappa +6 more
TL;DR: In this paper, a functional body-to-sensor calibration procedure for inertial sensor-based gait analysis is described, which consists in measuring the vertical axis during two static positions, and is not affected by magnetic field distortion.
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Perspectives and Challenges in Robotic Neurorehabilitation
Riccardo Iandolo,Francesca Marini,Marianna Semprini,Matteo Laffranchi,Maddalena Mugnosso,Amel Cherif,Lorenzo De Michieli,Michela Chiappalone,Jacopo Zenzeri +8 more
TL;DR: An overview of the most common robotic devices for upper and lower limb rehabilitation and the aforementioned neurorehabilitation scenarios are provided and assessment techniques for the evaluation of robotic therapy are reviewed.
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Role of Muscle Synergies in Real-Time Classification of Upper Limb Motions using Extreme Learning Machines.
Chris Wilson Antuvan,Federica Bisio,Francesca Marini,Shih-Cheng Yen,Erik Cambria,Lorenzo Masia +5 more
TL;DR: This work demonstrates better robustness of online decoding of upper-limb motions and motor intentions when using synergy feature, providing a potential and viable option for real-time myoelectric control in assistive technology.
Robot-aided developmental assessment of wrist proprioception in children.
Francesca Marini,Valentina Squeri,Pietro Morasso,Claudio Campus,Jürgen Konczak,Lorenzo Masia +5 more
TL;DR: Proprioceptive development for the wrist continues well into early adolescence and the normative data obtained trough this novel robot-aided assessment method provide a basis against which proprioceptive function of pediatric population can be compared to aid the design of more effective sensorimotor intervention programs.
Muscle fatigue assessment during robot-mediated movements.
Maddalena Mugnosso,Maddalena Mugnosso,Francesca Marini,Michael W.R. Holmes,Pietro Morasso,Jacopo Zenzeri +5 more
TL;DR: The robot-aided assessment test proposed in this study proved to be an easy to administer, fast and reliable method for objectively measuring muscular fatigue in a healthy population and developed a framework for an evaluation that can be deployed in a clinical practice with patients presenting neuromuscular disorders.