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ORCIDAlessandro Del Vecchio
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2020 – today
- 2024
[j5]Farnaz Rahimi
, Mohammad Ali Badamchizadeh, Sehraneh Ghaemi, Alessandro Del Vecchio:
Simultaneous Estimation of Digit Tip Forces and Hand Postures in a Simulated Real-Life Condition With High-Density Electromyography and Deep Learning. IEEE J. Biomed. Health Informatics 28(10): 5708-5717 (2024)- [c7]Nico Weber, Jonas Walter, Dominik I. Braun, Alessandro Del Vecchio, Jörg Franke:
Compact and Lightweight Cable Decoupling Unit for Bio-Inspired Tendon Drives in Wearable Robots. BioRob 2024: 1140-1145 - [i1]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:
MyoGestic: EMG Interfacing Framework for Decoding Multiple Spared Degrees of Freedom of the Hand in Individuals with Neural Lesions. CoRR abs/2408.07817 (2024) - 2023
- [j4]Kenneth MacSporran Mayer, Alessandro Del Vecchio, Bjoern M. Eskofier, Dario Farina:
Unsupervised neural decoding of signals recorded by thin-film electrode arrays implanted in muscles using autoencoding with a physiologically derived optimisation criterion. Biomed. Signal Process. Control. 86(Part B): 105178 (2023) - 2022
- [c6]Jonas Walter, Paul Roßmanith, Daniela Souza De Oliveira, Sebastian Reitelshöfer, Alessandro Del Vecchio, Jörg Franke:
Proportional Control of a Soft Cable-Driven Exoskeleton via a Myoelectrical Interface Enables Force-Controlled Finger Motions. BioRob 2022: 1-6 - [c5]Raul C. Sîmpetru, Marius Osswald, Dominik I. Braun, Daniela Souza De Oliveira, Andre L. Cakici, Alessandro Del Vecchio:
Accurate Continuous Prediction of 14 Degrees of Freedom of the Hand from Myoelectrical Signals through Convolutive Deep Learning. EMBC 2022: 702-706 - [c4]Andre L. Cakici, Marius Osswald, Daniela Souza De Oliveira, Dominik I. Braun, Raul C. Sîmpetru, Thomas Kinfe, Bjoern M. Eskofier, Alessandro Del Vecchio:
A Generalized Framework for the Study of Spinal Motor Neurons Controlling the Human Hand During Dynamic Movements. EMBC 2022: 4115-4118 - 2021
- [j3]Alessandro Del Vecchio, Claudio Castellini, Philipp Beckerle:
Peripheral Neuroergonomics - An Elegant Way to Improve Human-Robot Interaction? Frontiers Neurorobotics 15: 691508 (2021) - [j2]Andrés Úbeda, Álvaro Costa-García, Diego Torricelli, Ivan Vujaklija, Alessandro Del Vecchio:
Editorial: Neuromechanical Biomarkers in Robot-Assisted Motor Rehabilitation. Frontiers Neurorobotics 15: 831113 (2021) - [j1]Alexander Kenneth Clarke, Seyed Farokh Atashzar, Alessandro Del Vecchio, Deren Y. Barsakcioglu, Silvia Muceli, Paul Bentley, Filip Urh, Ales Holobar, Dario Farina:
Deep Learning for Robust Decomposition of High-Density Surface EMG Signals. IEEE Trans. Biomed. Eng. 68(2): 526-534 (2021)
2010 – 2019
- 2019
- [c3]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:
A wearable neural interface for detecting and decoding attempted hand movements in a person with tetraplegia. EMBC 2019: 1930-1933 - [c2]Simone Tanzarella, Silvia Muceli, Alessandro Del Vecchio, Andrea Casolo, Dario Farina:
A high-density surface EMG framework for the study of motor neurons controlling the intrinsic and extrinsic muscles of the hand. EMBC 2019: 2307-2310 - 2017
- [c1]Andrés Úbeda, Alessandro Del Vecchio, Massimo Sartori, Santiago T. Puente, Fernando Torres Medina, José Maria Azorín, Dario Farina:
Electromechanical delay in the tibialis anterior muscle during time-varying ankle dorsiflexion. ICORR 2017: 68-71
Coauthor Index
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