People @ BioLab³

Giovanni Corvini, Ph.D.

Personal Data		Research chart Scopus profile
Address	Roma Tre University via Vito Volterra 62 - Room 3.4 I-00146 Roma - Italy
Phone Number	+39 06 5733 7057
Fax
Email	giovanni.corviniATuniroma3.it
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Personal Information

Giovanni Corvini received his Ph.D. in Applied Electronics (Biomedical Engineering) in 2024. He is currently a research fellow at the University of Roma Tre. He has a strong expertise in biomedical engineering, artificial intelligence and robotics. His main interest is the study of the neuromuscular system aiming to advance robotic neurorehabilitation of both upper and lower limbs. His research focuses on the analysis of surface EMG for the assessment of muscle fatigue in isometric and dynamic contractions.

Participation to projects and programs

HYBR-ID: upper limb reHabilitation sYstem integrating exoskeleton assistance and functional electrical stimulation driven By a user tailoRed synergy-based Intention Detection framework

Other information

Matlab Code: Novel Metrics for High-Density sEMG Analysis in the Time–Space Domain: Link to Paper and Code.

List of Publications

Publications on International Journals
[J1] G. Corvini, M. Arvanitidis, D. Falla, S. Conforto. Novel Metrics for High-Density EMG Analysis in the Time-Space Domain during Sustained Isometric Contractions. IEEE Open Journal of Engineering in Medicine and Biology, 5: 760-768, 2024
[J2] S. Ranaldi, D. Bibbo, G. Corvini, M. Schmid, S. Conforto. Modalities of sequential human robot collaboration trigger different modifications of trunk oscillations. Frontiers in Neurorobotics, 17: 1183164, 2023
[J3] G. Corvini, C. D'Anna, S. Conforto. Estimation of mean and median frequency from synthetic sEMG signals: Effects of different spectral shapes and noise on estimation methods. Biomedical Signal Processing and Control, 73: 103420, 2022
[J4] S. Ranaldi, G. Corvini, C. De Marchis, S. Conforto. The influence of the sEMG amplitude estimation technique on the EMG–force relationship. Sensors, 22(1): 3972, 2022
[J5] G. Corvini, S. Conforto. A Simulation Study to Assess the Factors of Influence on Mean and Median Frequency of sEMG Signals during Muscle Fatigue.. Sensors, 22(17): 6360, 2022
Contributions appeared on Proceedings of International Conferences
[C1] G. Pacetti, F. Barone-Adesi, G. Corvini, C. D'Anna, M. Schmid. Use of a modified SIR-V model to quantify the effect of vaccination strategies on hospital demand during the Covid-19 pandemic. EMBC 2022 - 44th Annual International Conference of the Engineering in Medicine & Biology Society, Glasgow, Scotland (UK): July 11-15, 2022
Short and Extended Abstracts appeared on International Journals
[EA1] S. Ranaldi, D. Bibbo, G. Corvini, M. Schmid, A. De Nobile, S. Conforto. Position-specific muscle coactivation in human-robot collaboration. Gait & Posture, Supplement: S37-S38, 2023
[EA2] G. Corvini, A. Ajoudani, S. Conforto, S. Ranaldi, M. Schmid, A. De Nobile, D. Bibbo. Assessing biomechanical risks in human-robot collaboration: Analysis of muscle activity with different intervention conditions. Gait & Posture, Supplement: S18-S19, 2023
Contributions on Proceedings of National Congresses
[PN1] G. Corvini, S. Conforto, S. Ranaldi, M. Schmid, D. Bibbo. Analysis of muscular activity of a cashier during different modalities of human robot collaboration. VIII National Congress of Bioengineering (GNB2023), Padua, Italy: June 21 - 23, 2023