Alessandro Del Vecchio

According to our database, Alessandro Del Vecchio authored at least 18 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Closed-Loop Control of Electrical Stimulation through Spared Motor Unit Ensembles Restores Foot Movements after Spinal Cord Injury.

Vlad Cnejevici, Matthias Ponfick, Raul C. Sîmpetru, Alessandro Del Vecchio

CoRR, June, 2025

Towards Unsupervised Incremental and Proportional Myocontrol Based on Higher-Density Surface Electromyography.

Alisa Schulz, Fabio Egle, Marius Osswald, Alessandro Del Vecchio, Claudio Castellini

Proceedings of the International Conference On Rehabilitation Robotics, 2025

2024

Learning a Hand Model From Dynamic Movements Using High-Density EMG and Convolutional Neural Networks.

Raul C. Sîmpetru, Andreas Arkudas, Dominik I. Braun, Marius Osswald, Daniela Souza De Oliveira, Bjoern M. Eskofier, Thomas Kinfe, Alessandro Del Vecchio

IEEE Trans. Biomed. Eng., December, 2024

Simultaneous Estimation of Digit Tip Forces and Hand Postures in a Simulated Real-Life Condition With High-Density Electromyography and Deep Learning.

Farnaz Rahimi, Mohammad Ali Badamchizadeh, Sehraneh Ghaemi, Alessandro Del Vecchio

IEEE J. Biomed. Health Informatics, October, 2024

Low-Frequency Motor Cortex EEG Predicts Four Rates of Force Development.

Rory O'Keeffe, Seyed Yahya Shirazi, Alessandro Del Vecchio, Jaime Ibáñez, Natalie Mrachacz-Kersting, Ramin Bighamian, John-Ross Rizzo, Dario Farina, Seyed Farokh Atashzar

IEEE Trans. Haptics, 2024

Simultaneous Control of Human Hand Joint Positions and Grip Force via HD-EMG and Deep Learning.

Farnaz Rahimi, Mohammad Ali Badamchizadeh, Raul C. Sîmpetru, Sehraneh Ghaemi, Bjoern M. Eskofier, Alessandro Del Vecchio

CoRR, 2024

MyoGestic: EMG Interfacing Framework for Decoding Multiple Spared Degrees of Freedom of the Hand in Individuals with Neural Lesions.

Raul C. Sîmpetru, Dominik I. Braun, Arndt U. Simon, Michael März, Vlad Cnejevici, Daniela Souza De Oliveira, Nico Weber, Jonas Walter, Jörg Franke, Daniel Höglinger, Cosima Prahm, Matthias Ponfick, Alessandro Del Vecchio

CoRR, 2024

Compact and Lightweight Cable Decoupling Unit for Bio-Inspired Tendon Drives in Wearable Robots.

Nico Weber, Jonas Walter, Dominik I. Braun, Alessandro Del Vecchio, Jörg Franke

Proceedings of the 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2024

2023

Unsupervised neural decoding of signals recorded by thin-film electrode arrays implanted in muscles using autoencoding with a physiologically derived optimisation criterion.

Kenneth MacSporran Mayer, Alessandro Del Vecchio, Bjoern M. Eskofier, Dario Farina

Biomed. Signal Process. Control., September, 2023

2022

Accurate Continuous Prediction of 14 Degrees of Freedom of the Hand from Myoelectrical Signals through Convolutive Deep Learning.

Raul C. Sîmpetru, Marius Osswald, Dominik I. Braun, Daniela Souza De Oliveira, Andre L. Cakici, Alessandro Del Vecchio

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Generalized Framework for the Study of Spinal Motor Neurons Controlling the Human Hand During Dynamic Movements.

Andre L. Cakici, Marius Osswald, Daniela Souza De Oliveira, Dominik I. Braun, Raul C. Sîmpetru, Thomas Kinfe, Bjoern M. Eskofier, Alessandro Del Vecchio

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Proportional Control of a Soft Cable-Driven Exoskeleton via a Myoelectrical Interface Enables Force-Controlled Finger Motions.

Jonas Walter, Paul Roßmanith, Daniela Souza De Oliveira, Sebastian Reitelshöfer, Alessandro Del Vecchio, Jörg Franke

Proceedings of the 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2022

2021

Deep Learning for Robust Decomposition of High-Density Surface EMG Signals.

Alexander Kenneth Clarke, Seyed Farokh Atashzar, Alessandro Del Vecchio, Deren Y. Barsakcioglu, Silvia Muceli, Paul Bentley, Filip Urh, Ales Holobar, Dario Farina

IEEE Trans. Biomed. Eng., 2021

Peripheral Neuroergonomics - An Elegant Way to Improve Human-Robot Interaction?

Alessandro Del Vecchio, Claudio Castellini, Philipp Beckerle

Frontiers Neurorobotics, 2021

Editorial: Neuromechanical Biomarkers in Robot-Assisted Motor Rehabilitation.

Andrés Úbeda, Álvaro Costa-García, Diego Torricelli, Ivan Vujaklija, Alessandro Del Vecchio

Frontiers Neurorobotics, 2021

2019

A wearable neural interface for detecting and decoding attempted hand movements in a person with tetraplegia.

Jordyn Ting, Alessandro Del Vecchio, David A. Friedenberg, Monica Liu, Caroline Schoenewald, Devapratim Sarma, Jennifer L. Collinger, Sam C. Colachis IV, Gaurav Sharma, Dario Farina, Douglas J. Weber

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

A high-density surface EMG framework for the study of motor neurons controlling the intrinsic and extrinsic muscles of the hand.

Simone Tanzarella, Silvia Muceli, Alessandro Del Vecchio, Andrea Casolo, Dario Farina

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2017

Electromechanical delay in the tibialis anterior muscle during time-varying ankle dorsiflexion.

Andrés Úbeda, Alessandro Del Vecchio, Massimo Sartori, Santiago T. Puente, Fernando Torres Medina, José Maria Azorín, Dario Farina

Proceedings of the International Conference on Rehabilitation Robotics, 2017