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Alessandro Del Vecchio
Alessandro Del Vecchio
Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-University
Подтвержден адрес электронной почты в домене fau.de
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Процитировано
Процитировано
Год
The increase in muscle force after 4 weeks of strength training is mediated by adaptations in motor unit recruitment and rate coding
A Del Vecchio, A Casolo, F Negro, M Scorcelletti, I Bazzucchi, R Enoka, ...
The Journal of physiology 597 (7), 1873-1887, 2019
1412019
You are as fast as your motor neurons: Speed of recruitment and maximal discharge of motor neurons determine the maximal rate of force development in humans
A Del Vecchio, F Negro, A Holobar, A Casolo, J Folland, F Felici, D Farina
The Journal of physiology, 1-12, 2019
1382019
Associations between motor unit action potential parameters and surface EMG features
A Del Vecchio, F Negro, F Felici, D Farina
Journal of Applied Physiology 123 (4), 835-843, 2017
1032017
Tutorial: analysis of motor unit discharge characteristics from high-density surface EMG signals
A Del Vecchio, A Holobar, D Falla, F Felici, RM Enoka, D Farina
Journal of Electromyography and Kinesiology 53, 102426, 2020
712020
Distribution of muscle fibre conduction velocity for representative samples of motor units in the full recruitment range of the tibialis anterior muscle
A Del Vecchio, F Negro, F Felici, D Farina
Acta Physiologica 222 (2), e12930, 2018
532018
Central nervous system modulates the neuromechanical delay in a broad range for the control of muscle force
A Del Vecchio, A Ubeda, M Sartori, JM Azorin, F Felici, D Farina
Journal of applied physiology 125 (5), 1404-1410, 2018
432018
Higher muscle fiber conduction velocity and early rate of torque development in chronically strength-trained individuals
A Del Vecchio, F Negro, D Falla, I Bazzucchi, D Farina, F Felici
Journal of applied physiology 125 (4), 1218-1226, 2018
362018
The human central nervous system transmits common synaptic inputs to distinct motor neuron pools during non‐synergistic digit actions
A Del Vecchio, CM Germer, LA Elias, Q Fu, J Fine, M Santello, D Farina
The Journal of physiology 597 (24), 5935-5948, 2019
312019
The knowns and unknowns of neural adaptations to resistance training
J Škarabot, CG Brownstein, A Casolo, A Del Vecchio, P Ansdell
European Journal of Applied Physiology 121 (3), 675-685, 2021
302021
Interfacing the neural output of the spinal cord: robust and reliable longitudinal identification of motor neurons in humans
A Del Vecchio, D Farina
Journal of neural engineering 17 (1), 016003, 2019
302019
Early Motor Unit Conduction Velocity Changes To Hiit Versus Continous Training
E Martinez-Valdes, D Farina, F Negro, A Del Vecchio, D Falla
Medicine and science in sports and exercise, 2018
252018
Neural and muscular determinants of maximal rate of force development
JL Dideriksen, A Del Vecchio, D Farina
Journal of Neurophysiology 123 (1), 149-157, 2020
232020
Deep learning for robust decomposition of high-density surface EMG signals
AK Clarke, SF Atashzar, A Del Vecchio, D Barsakcioglu, S Muceli, ...
IEEE Transactions on Biomedical Engineering 68 (2), 526-534, 2020
222020
Muscles from the same muscle group do not necessarily share common drive: evidence from the human triceps surae
F Hug, A Del Vecchio, S Avrillon, D Farina, K Tucker
Journal of Applied Physiology 130 (2), 342-354, 2021
212021
The relative strength of common synaptic input to motor neurons is not a determinant of the maximal rate of force development in humans
A Del Vecchio, D Falla, F Felici, D Farina
Journal of Applied Physiology 127 (1), 205-214, 2019
192019
Spinal motoneurons of the human newborn are highly synchronized during leg movements
A Del Vecchio, F Sylos-Labini, V Mondì, P Paolillo, Y Ivanenko, ...
Science advances 6 (47), eabc3916, 2020
182020
Strength training increases conduction velocity of high-threshold motor units
A Casolo, D Farina, D Falla, I Bazzucchi, F Felici, A Del Vecchio
Med. Sci. Sports Exerc 52, 955-967, 2020
182020
Analysis of motor unit spike trains estimated from high-density surface electromyography is highly reliable across operators
F Hug, S Avrillon, A Del Vecchio, A Casolo, J Ibanez, S Nuccio, J Rossato, ...
Journal of Electromyography and Kinesiology 58, 102548, 2021
172021
The influence of musculoskeletal pain disorders on muscle synergies—A systematic review
BXW Liew, A Del Vecchio, D Falla
PloS one 13 (11), e0206885, 2018
132018
Individual differences in the neural strategies to control the lateral and medial head of the quadriceps during a mechanically constrained task
S Avrillon, A Del Vecchio, D Farina, JL Pons, C Vogel, J Umehara, F Hug
Journal of Applied Physiology 130 (1), 269-281, 2021
102021
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