Vittorio Sanguineti

Dept. Informatics, Systems, Telematics (DIST) Università degli Studi di Genova, Genova, Liguria, Italy 
motor control, neuromotor rehabilitation
"Vittorio Sanguineti"
Mean distance: 15.16 (cluster 22)
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Sedda G, Ostry DJ, Sanguineti V, et al. (2021) Self-operated stimuli improve subsequent visual motion integration. Journal of Vision. 21: 13
Lotti N, Xiloyannis M, Durandau G, et al. (2020) Adaptive Model-Based Myoelectric Control for a Soft Wearable Arm Exosuit: A New Generation of Wearable Robot Control Ieee Robotics & Automation Magazine. 27: 43-53
Semprini M, Laffranchi M, Sanguineti V, et al. (2018) Technological Approaches for Neurorehabilitation: From Robotic Devices to Brain Stimulation and Beyond. Frontiers in Neurology. 9: 212
Takagi A, Usai F, Ganesh G, et al. (2018) Haptic communication between humans is tuned by the hard or soft mechanics of interaction. Plos Computational Biology. 14: e1005971
Summa S, Casadio M, Sanguineti V. (2016) Effect of Position- and Velocity-Dependent Forces on Reaching Movements at Different Speeds. Frontiers in Human Neuroscience. 10: 609
Saiano M, Pellegrino L, Casadio M, et al. (2015) Natural interfaces and virtual environments for the acquisition of street crossing and path following skills in adults with Autism Spectrum Disorders: a feasibility study. Journal of Neuroengineering and Rehabilitation. 12: 17
Summa S, Basteris A, Betti E, et al. (2015) Adaptive training with full-body movements to reduce bradykinesia in persons with Parkinson's disease: a pilot study. Journal of Neuroengineering and Rehabilitation. 12: 16
Jarrassé N, Sanguineti V, Burdet E. (2014) Slaves no longer: Review on role assignment for human-robot joint motor action Adaptive Behavior. 22: 70-82
Tamagnone I, Sterpi I, Squeri V, et al. (2014) Modelling the recovery of acute stroke survivors during adaptive robot-assisted training Gait & Posture. 40: S28-S29
Tamagnone I, Casadio M, Sanguineti V. (2013) Reward-based learning of a redundant task. Ieee ... International Conference On Rehabilitation Robotics : [Proceedings]. 2013: 6650386
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