Giancarlo Ferrigno, Ph.D.

Affiliations: 
Politecnico di Milano, Italy 
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"Giancarlo Ferrigno"
Mean distance: 19.71 (cluster 32)
 
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Publications

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Ambrosini E, Gasperini G, Zajc J, et al. (2021) A Robotic System with EMG-Triggered Functional Eletrical Stimulation for Restoring Arm Functions in Stroke Survivors. Neurorehabilitation and Neural Repair. 1545968321997769
Ambrosini E, Zajc J, Ferrante S, et al. (2019) A Hybrid Robotic System for Arm Training of Stroke Survivors: Concept and First Evaluation. Ieee Transactions On Bio-Medical Engineering
Ambrosini E, Ferrante S, van de Ruit M, et al. (2017) StimTrack: An open-source software for manual transcranial magnetic stimulation coil positioning. Journal of Neuroscience Methods. 293: 97-104
Peri E, Ambrosini E, Colombo VM, et al. (2017) Intra and inter-session reliability of rapid Transcranial Magnetic Stimulation stimulus-response curves of tibialis anterior muscle in healthy older adults. Plos One. 12: e0184828
Chia Bejarano N, Pedrocchi A, Nardone A, et al. (2017) Tuning of Muscle Synergies During Walking Along Rectilinear and Curvilinear Trajectories in Humans. Annals of Biomedical Engineering
Casellato C, Pedrocchi A, Ferrigno G. (2016) Whole-Body Movements in Long-Term Weightlessness: Hierarchies of the Controlled Variables Are Gravity-Dependent. Journal of Motor Behavior. 1-12
Peri E, Ambrosini E, Pedrocchi A, et al. (2016) Can FES-Augmented Active Cycling Training Improve Locomotion in Post-Acute Elderly Stroke Patients? European Journal of Translational Myology. 26: 6063
Ferrante S, Chia Bejarano N, Ambrosini E, et al. (2016) A Personalized Multi-Channel FES Controller Based on Muscle Synergies to Support Gait Rehabilitation after Stroke. Frontiers in Neuroscience. 10: 425
Gandolla M, Ferrante S, Ferrigno G, et al. (2016) Artificial neural network EMG classifier for functional hand grasp movements prediction. The Journal of International Medical Research
Ambrosini E, De Marchis C, Pedrocchi A, et al. (2016) Neuro-Mechanics of Recumbent Leg Cycling in Post-Acute Stroke Patients. Annals of Biomedical Engineering
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