Imperial College London

Dr Alessandro Del Vecchio

Faculty of EngineeringDepartment of Bioengineering

Visiting Researcher
 
 
 
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Contact

 

+44 (0)7516 143 524a.del-vecchio

 
 
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Location

 

B121Royal School of MinesSouth Kensington Campus

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Summary

 

Summary

Dr Alessandro Del Vecchio is a research associate at Department of BioengineeringImperial College London. He completed his PhD in Rome at the University of Rome "Foro Italico" with summa cum laude in the neural control of muscles. He spent part of his PhD (Doctor Europaeus) at the Neurorehabilitation Institute, Bernstein Center for Computational Neuroscience at the Medical University of Göttingen, Germany. 

Six months before finishing his PhD (July 2017), he joined the Neuromechanics and Rehabilitation Technology Group at the Department of Bioengineering, Imperial College London, where he carries out research on motor neurons, neuromechanics, and biosignal processing. 

Dr Del Vecchio is interested in the study of the neuromuscular function in humans and other mammals and the development of neurotechnologies for man-machine interfaces.

Publications

Journals

Del Vecchio A, Jones RHA, Schofield IS, et al., 2022, Interfacing motor units in non-human primates identifies a principal neural component for force control constrained by the size principle, The Journal of Neuroscience, Vol:42, ISSN:0270-6474, Pages:7383-7399

Alix-Fages C, Jiménez-Martínez P, de Oliveira DS, et al., 2022, Mental fatigue impairs physical performance but not the neural drive to the muscle

Skarabot J, Folland JP, Holobar A, et al., 2022, Startling stimuli increase maximal motor unit discharge rate and rate of force development in humans, Journal of Neurophysiology, Vol:128, ISSN:0022-3077, Pages:455-469

Sîmpetru RC, Arkudas A, Braun DI, et al., 2022, Sensing the Full Dynamics of the Human Hand with a Neural Interface and Deep Learning

de Oliveira DS, Casolo A, Balshaw TG, et al., 2022, Neural decoding from surface high-density EMG signals: influence of anatomy and synchronization on the number of identified motor units, Journal of Neural Engineering, Vol:19, ISSN:1741-2560

More Publications