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Bruno Grandi Sgambato
Bruno Grandi Sgambato
RA & PhD Student
Bestätigte E-Mail-Adresse bei imperial.ac.uk
Titel
Zitiert von
Zitiert von
Jahr
Kinematics of individual muscle units in natural contractions measured in vivo using ultrafast ultrasound
E Lubel, BG Sgambato, DY Barsakcioglu, J Ibáñez, MX Tang, D Farina
Journal of Neural Engineering 19 (5), 056005, 2022
152022
High Performance Wearable Ultrasound as a Human-Machine Interface for wrist and hand kinematic tracking
BG Sgambato, MH Hasbani, DY Barsakcioglu, J Ibáñez, A Jakob, ...
IEEE Transactions on Biomedical Engineering, 2023
72023
Non-linearity in motor unit velocity twitch dynamics: Implications for ultrafast ultrasound source separation
E Lubel, BG Sgambato, R Rohlén, J Ibáñez, DY Barsakcioglu, MX Tang, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
52023
Spatial decomposition of ultrafast ultrasound images to identify motor unit activity–A comparative study with intramuscular and surface EMG
R Rohlén, E Lubel, BG Sgambato, C Antfolk, D Farina
Journal of Electromyography and Kinesiology 73, 102825, 2023
32023
Accurate Identification of Motoneuron Discharges from Ultrasound Images Across the Full Muscle Cross-Section
E Lubel, R Rohlén, BG Sgambato, DY Barsakcioglu, J Ibáñez, MX Tang, ...
IEEE Transactions on Biomedical Engineering, 2023
12023
Concurrent assessment of individual motoneuron discharges and muscle unit displacement velocity in humans by high-density EMG and ultrafast ultrasound
E Lubel, BG Sgambato, DY Barsakcioglu, J Ibáñez, MX Tang, D Farina
BioRxiv, 2022.05. 26.493608, 2022
12022
Performance comparison of different classifiers applied to gesture recognition from sEMG signals
BG Sgambato, G Castellano
Brazilian Congress on Biomedical Engineering, 1561-1568, 2020
12020
Identification of hand gestures using pattern recognition of electromyography signals acquired with MyoArmband
B Sgambato, G Castellano
Revista dos Trabalhos de Iniciação Científica da UNICAMP, 1-1, 2019
12019
A Four-Channel Analog Front-End ASIC for Wearable A-Mode Ultrasound Hand Kinematic Tracking Applications
Y Zhang, BG Sgambato, M Rahal, MX Tanga, D Farina, D Jiang, ...
2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2023
2023
Spatial decomposition of ultrafast ultrasound images to identify motor unit activity–A validation study using intramuscular and surface EMG
R Rohlén, E Lubel, B Grandi Sgambato, C Antfolk, D Farina
bioRxiv, 2023.06. 21.545924, 2023
2023
Development of a Haptic Feedback Device Based on Electromyography Signals and an Arduino
BG Sgambato, G Castellano
2020
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