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

Ting JE, Vecchio AD, Sarma D, et al., 2021, Sensing and decoding the neural drive to paralyzed muscles during attempted movements of a person with tetraplegia using a sleeve array

Hug F, Avrillon S, Del Vecchio A, et al., 2021, Analysis of motor unit spike trains estimated from high-density surface electromyography is highly reliable across operators

Clarke AK, Atashzar SF, Vecchio AD, et al., 2021, Deep learning for robust decomposition of high-density surface EMG signals, Ieee Transactions on Biomedical Engineering, Vol:68, ISSN:0018-9294, Pages:526-534

Del Vecchio A, Sylos-Labini F, Mondi V, et al., 2020, Spinal motoneurons of the human newborn are highly synchronized during leg movements, Science Advances, Vol:6, ISSN:2375-2548

Casolo A, Nuccio S, Bazzucchi I, et al., 2020, Reproducibility of muscle fibre conduction velocity during linearly increasing force contractions, Journal of Electromyography and Kinesiology, Vol:53, ISSN:1050-6411

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