Rome: March 28th, 2024

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Giacomo Severini, PhD

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Address now @ University College Dublin, Dublin, Ireland
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Email giacomo.severiniATucd.ie
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Personal Information

attention: info contained in pages for alumni of BioLab³ may be inaccurate/outdated.
Giacomo Severini received the MSc in Electronic Engineering at Roma Tre University, Rome in 2008 with a thesis dealing on the application of neural networks in motor control. He got a PhD in Biomedical Engineering in 2012, under the supervision of Prof. Silvia Conforto, his research being focused on development of devices and techniques for the rehabilitation and functional evaluation of the movements of the upper limb. He also assisted BioLab3 research and teaching activities in the Department of Applied Electronics at the University 'Roma TRE'. He has been a Post-Doc researcher for the Department of Physical Medicine and Rehabilitation of Harvard Medical School in Cambridge, USA and a research assistant at the Motion Analysis Laboratory of the Spaulding Rehabilitation Hospital in Boston, USA, working with Prof. Paolo Bonato. He is now Lecturer in Bomedical Engineering at University College Dublin, Dublin, Ireland. His current research interests deal with the application of robots in the rehabilitation of upper and lower limbs.

Participation to projects and programs

EU-FP7 Program FP7-ICT-2007-2 Project #224051: "TREMOR — An ambulatory BCI-driven tremor suppression system based on functional electrical stimulation" (2008-2011)

Other information

The C++ .h library class for the implementation of the algorithm described in "Novel Formulation of a Double Threshold Algorithm for the Estimation of Muscle Activation Intervals designed for variable SNR environments" is available here.

List of Publications

Publications on International Journals
[J1] S. Ranaldi, L. Gizzi, G. Severini, C. De Marchis. Optimal identification of muscle synergies from typical Sit-to-Stand clinical tests. IEEE Open Journal of Engineering in Medicine and Biology, 4: 31-37, 2022
[J2] S. Ranaldi, C. De Marchis, G. Severini, S. Conforto. An objective, information-based approach for selecting the number of muscle synergies to be extracted via non-negative matrix factorization. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29: 2676-2683, 2021
[J3] A.M. Castronovo, C. De Marchis, M. Schmid, S. Conforto, G. Severini. Effect of Task Failure on Intermuscular Coherence Measures in Synergistic Muscles. Applied Bionics and Biomechanics, 2018: 1-13, 2018
[J4] C. De Marchis, J. Di Somma, M. Zych, S. Conforto, G. Severini. Consistent visuomotor adaptations and generalizations can be achieved through different rotations of robust motor modules. Scientific Reports, 8: 12657, 2018
[J5] C. De Marchis, G. Severini, A.M. Castronovo, M. Schmid, S. Conforto. Intermuscular coherence contributions in synergistic muscles during pedaling. Experimental Brain Research, 233(6): 1907-1919, 2015
[J6] G. Severini, S. Conforto, M. Schmid, T. D'Alessio. A multivariate auto-regressive method to estimate cortico-muscular coherence for the detection of movement intent. Applied Bionics and Biomechanics, 9(2): 135-143, 2012
[J7] G. Severini, S. Conforto, M. Schmid, T. D'Alessio. Novel formulation of a double threshold algorithm for the estimation of muscle activation intervals designed for variable SNR environments. Journal of Electromyography and Kinesiology, 22(6): 878-885, 2012
[J8] S. Conforto, I. Bernabucci, G. Severini, M. Schmid, T. D'Alessio. Biologically inspired modelling for the control of upper limb movements: from concept studies to future applications. Frontiers in Neurorobotics, 3: 3, 2009
Contributions appeared on Proceedings of International Conferences
[C1] G. Severini, C. De Marchis. Effect of SNR normalization on the estimation of muscle synergies from EMG datasets. IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rome, Italy: June 11-13, 2018
[C2] C. De Marchis, J. Di Somma, M. Zych, S. Conforto, G. Severini. The generalization of Motor Adaptation is explained through the recruitment of previously adapted muscle synergies. XXII Congress of the International Society of Electrophysiology and Kinesiology (ISEK 2018), Dublin, Ireland: June 30 - July 2, 2018
[C3] A.M. Castronovo, C. De Marchis, G. Severini, D. Bibbo, T. D'Alessio. Electromyographic features for the characterization of task failure during submaximal cycling. World Congress on Medical Physics and Biomedical Engineering, Beijing, China: May 26-31, 2012
[C4] C. De Marchis, S. Conforto, G. Severini, M. Schmid, T. D'Alessio. Detecting and characterizing tremor from the surface EMG signal. World Congress on Medical Physics and Biomedical Engineering, Beijing, China: May 26-31, 2012
[C5] C. De Marchis, S. Conforto, G. Severini, M. Schmid, T. D'Alessio. Detection of Tremor Bursts from the sEMG Signal: an Optimization Procedure for Different Detection Methods. Proceedings of the 33rd IEEE-EMBS Conference, Boston: 31 Aug - 3 Sep, 2011
[C6] G. Severini, S. Conforto, C. De Marchis, M. Schmid, T. D'Alessio. A SNR-Independent Formulation of a Double Threshold Algorithm for the Estimation of Muscle Activation Intervals. Proceedings of the 33rd IEEE-EMBS Congress, Boston: 31 Aug - 3 Sep, 2011
[C7] G. Severini, S. Conforto, M, Schmid, T. D'Alessio. Development of a real-time algorithm for ERD/ERS detection for the discrimination between voluntary and un-voluntary activity. TOBI, Graz: 2-4 February, 2010
[C8] C. De Marchis, I. Bernabucci, G. Severini, S. Conforto, M. Schmid, T. D'Alessio. Wrist tremor reduction through a novel neural model. Proceedings of the XVIII ISEK Congress, Aalborg, Denmark: June 16-19, 2010
[C9] J.A. Gallego, E. Rocon, A.R. Victoria, J. Ibáñez, L. Barrios, D. Farina, F. Negro, S. Conforto, T. D'Alessio, G. Severini, G. Grimaldi, M. Manto, J.L. Pons. Brain neural computer interface for tremor identification, characterization and tracking. Proceedings of the XVIII ISEK Congress, Aalborg, Denmark: June 16-19, 2010
[C10] R. Muscillo, G. Severini, M. Schmid, T. D'Alessio. Distinguishing among different lower limb physical activities through a Bayes' classifier applied on features extracted from single-axis accelerometer data. ISPGR 19th conference, Bologna, Italy: June 21-25, 2009
[C11] G.Severini, S.Conforto, M.Schmid, T. D'Alessio. Movement Intent as Predicted by Time-Varying Cortico-Muscular Coherence Estimated through MAR Models. ICRA Workshop on Wearable Robots, Kobe, Japan: May 12-17, 2009
[C12] G. Severini, S. Conforto, I. Bernabucci, M. Schmid, T. D'Alessio. Tremor control during movement of the upper limb using artificial neural networks and Functional Electrical Stimulation. EMBEC '08, Antwerp, Belgium: November 23-27, 2008
Short and Extended Abstracts appeared on International Journals
[EA1] G. Severini, S. Conforto, M. Schmid, T. D'Alessio. An ERD/Gyroscope-based Method for the Detection of Motor Intention in Tremor-Affected Patients. International Journal of Bioelectromagnetism, 13(1): 42-43, 2011
[EA2] M. Gneo, G. Severini, S. Conforto, M. Schmid, T. D'Alessio. Towards a Brain-Activated and Eye-Controlled Wheelchair. International Journal of Bioelectromagnetism, 13(1): 44-45, 2011
[EA3] S. Conforto, C. De Marchis, G. Severini, T. D'Alessio. Tremor detection and tracking through sEMG analysis . Gait and Posture supplement for SIAMOC congress , 30: 56-57, 2009
Contributions on Proceedings of National Congresses
[PN1] S. Ranaldi, L. Gizzi, G. Severini, C. De Marchis. Synergy-dependent patterns of reaction forces in sit-to-stand movements. VIII National Congress of Bioengineering (GNB2023), Padua, Italy: June 21 - 23, 2023
[PN2] G. Severini, S. Conforto, M. Schmid, C. De Marchis, T. D'Alessio. A Real-Time EEG-EMG multimodal approach for the detection of voluntary activity in patients affected by tremor impairment . GNB , Torino: July, 2010