Long-Term Upper-Limb Prosthesis Myocontrol via High-Density sEMG and Incremental Learning

Authors: Di Domenico, Dario, Boccardo, Nicolò, Marinelli, Andrea, Canepa, Michele, Gruppioni, Emanuele, Laffranchi, Matteo, Camoriano, Raffaello

Subject Terms: Computer Science - Robotics, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2412.16271

IMU Sensors Measurements Towards the Development of Novel Prosthetic Arm Control Strategies

Authors: Galviati, Riccardo, Boccardo, Nicolo, Canepa, Michele, Di Domenico, Dario, Marinelli, Andrea, Frigo, Carlo Albino, Laffranchi, Matteo, de Michieli, Lorenzo

Source: 2023 International Conference on Rehabilitation Robotics (ICORR) Rehabilitation Robotics (ICORR), 2023 International Conference on. :1-6 Sep, 2023

Relation: 2023 International Conference on Rehabilitation Robotics (ICORR)

Preliminary Assessment of Two Simultaneous and Proportional Myocontrol Methods for 3-DoFs Prostheses Using Incremental Learning

Authors: Egle, Fabio, Di Domenico, Dario, Marinelli, Andrea, Boccardo, Nicolo, Canepa, Michele, Laffranchi, Matteo, De Michieli, Lorenzo, Castellini, Claudio

Source: 2023 International Conference on Rehabilitation Robotics (ICORR) Rehabilitation Robotics (ICORR), 2023 International Conference on. :1-6 Sep, 2023

Relation: 2023 International Conference on Rehabilitation Robotics (ICORR)

Optimization of EMG-Derived Features for Upper Limb Prosthetic Control
Biomimetic and biohybrid systems (12th international conference)

Authors: Di Domenico, Dario, Paganini, Francesca, Marinelli, Andrea, De Michieli, Lorenzo, Boccardo, Nicoló, Semprini, Marianna

Source: Lecture notes in computer science. 14157:77-90

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN608373078&indx=1&recIds=ETOCCN608373078

Reach&Grasp: a multimodal dataset of the whole upper-limb during simple and complex movements.

Authors: Di Domenico, Dario, Forsiuk, Inna, Müller-Cleve, Simon, Tanzarella, Simone, Garro, Florencia, Marinelli, Andrea, Canepa, Michele, Laffranchi, Matteo, Chiappalone, Michela, Bartolozzi, Chiara, De Michieli, Lorenzo, Boccardo, Nicolò, Semprini, Marianna

Source: Scientific Data; 2/7/2025, Vol. 12 Issue 1, p1-13, 13p

Subject Terms: MEDICAL sciences, DATA structures, NEUROSCIENCES, BRAIN imaging, FEATURE extraction, WRIST

A compact solution for vibrotactile proprioceptive feedback of wrist rotation and hand aperture.

Authors: Marinelli, Andrea, Boccardo, Nicolò, Canepa, Michele, Di Domenico, Dario, Gruppioni, Emanuele, Laffranchi, Matteo, De Michieli, Lorenzo, Chiappalone, Michela, Semprini, Marianna, Dosen, Strahinja

Source: Journal of NeuroEngineering & Rehabilitation (JNER); 8/13/2024, Vol. 21 Issue 1, p1-16, 16p

Subject Terms: DEGREES of freedom, ARTIFICIAL hands, PATTERN perception, ACHIEVEMENT tests, TIME trials, PSYCHOLOGICAL feedback

Soft Robotics to Enhance Upper Limb Endurance in Individuals with Multiple Sclerosis.

Authors: Lotti, Nicola, Missiroli, Francesco, Galofaro, Elisa, Tricomi, Enrica, Di Domenico, Dario, Semprini, Marianna, Casadio, Maura, Brichetto, Giampaolo, De Michieli, Lorenzo, Tacchino, Andrea, Masia, Lorenzo

Source: Soft Robotics; Apr2024, Vol. 11 Issue 2, p338-346, 9p

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Active upper limb prostheses: a review on current state and upcoming breakthroughs

Authors: Marinelli, Andrea, Boccardo, Nicolò, Tessari, Federico, Di Domenico, Dario, Caserta, Giulia, Canepa, Michele, Gini, Giuseppina, Barresi, Giacinto, Laffranchi, Matteo, De Michieli, Lorenzo, Semprini, Marianna

Source: Progress in Biomedical Engineering; January 2023, Vol. 5 Issue: 1 p012001-012001, 1p