Publications

[J11] L. Badia, A. Zancanaro, G. Cisotto, and A. Munari, “Status Update Scheduling in Remote Sensing Under Variable Activation and Propagation Delays", Ad Hoc Networks, vol. 163, no. 103583, 2024. Available here (https://doi.org/10.1016/j.adhoc.2024.103583).

[J10] A. Zancanaro, G. Cisotto, and L. Badia, “Tackling Age of Information in Access Policies for Sensing Ecosystems", Sensors, 23 (7), 2456, 2023. Available here (https://doi.org/10.3390/s23073456).

[J9] A. Zancanaro, G. Cisotto, and L. Badia, “Modeling Value of Information in Remote Sensing from Correlated Sources”, Computer Communications, 203, 289-297, 2023. Available here (https://doi.org/10.1016/j.comcom.2023.03.008).

[J8] G. Cisotto, M. Capuzzo, A.V. Guglielmi, and A. Zanella, “Feature stability and setup minimization for EEG-EMG-enabled monitoring systems”, EURASIP J. Adv. Signal Process, 103 (2022).

[J7] G. Rosati*, G. Cisotto*, D. Sili, L. Compagnucci, C. De Giorgi, E. F. Pavone, A. Paccagnella, and V. Betti, “Inkjet-printed fully customizable and low-cost electrodes matrix for gesture recognition”, Sci Rep, vol. 11, no. 14938, 2021.

[J6] G. Bressan, G. Cisotto, G.R. Müller-Putz, and S. Wriessnegger, “Deep learning-based classification of fine hand movements from low frequency EEG,” Future Internet, vol. 13, no. 5, p. 103, 2021.

[J5] S. Martiradonna, G. Cisotto, G. Boggia, G. Piro, L. Vangelista, and S. Tomasin, “Cascaded WLAN-FWA Networking and Computing Architecture for Pervasive In-Home Healthcare”, IEEE Wireless Communications, vol. 28, no. 3, pp. 92-99, 2021.

[J4] G. Cisotto, E. Casarin and S. Tomasin, “Requirements and Enablers of Advanced Healthcare Services over Future Cellular Systems”, IEEE Communications Magazine, vol. 58, no. 3, pp. 76-81, 2020.

[J3] G. Cisotto and S. Pupolin, “Evolution of ICT for the improvement of Quality of Life”, IEEE AESS Special Issue on Integrated Navigation, Sensing and Communications for Solving Problems in Society (L.P. Ligthart and M. Ruggieri, Guest Eds.), vol. 33, no. 5-6, pp. 6-12, 2018.

[J2] G. Cisotto, M. Cavinato, F. Piccione and S. Pupolin, “An EEG-based BCI platform to improve arm reaching ability of chronic stroke patients by means of an operant learning training with a contingent force feedback”, International Journal of E-Health and Medical Communications, vol. 5, no. 1, pp. 114-134, 2014.

[J1] S. Silvoni, M. Cavinato, C. Volpato, G. Cisotto, C. Genna, M. Agostini, A. Turolla, A. Ramos-Murguialday and F. Piccione, “Kinematic and neurophysiological consequences of an assisted-force-feedback brain-machine interface training: a case study”, Frontiers in Neurology, vol. 4, no. 173, pp. 1-11, 2013. 

[P3] G. Cisotto, A. Zancanaro, I. F. Zoppis, and S. L. Manzoni, “hvEEGNet: exploiting hierarchical VAEs on EEG data for neuroscience applications" (under review). Available on ResearchGate and ArXiv.

[P2] A.V. Guglielmi, G. Cisotto, A. Muraro, and N. Laurenti, "Design of an Information Theoretic Key Agreement Protocol for WBANs Using Raw ECG". Available on ResearchGate. 

[P1] L. Badia, A. Zancanaro, G. Cisotto, A. Munari, "Status Update Scheduling in Remote Sensing Under Variable Activation and Propagation Delays", Nov. 2023 (under review). Available on SSRN.

[R1] S. Silvoni, A. Ramos-Murguialday, M. Cavinato, C. Volpato, G. Cisotto, A. Turolla, F. Piccione and N. Birbaumer, “Brain-computer interface in stroke: a review of progress”, Clinical EEG and Neuroscience, vol. 42, no. 41, pp. 245-252, 2011. 

[B4] A. Zancanaro, G. Cisotto, I. Zoppis and S. L. Manzoni, “vEEGNet: learning latent representations to reconstruct EEG raw data via variational autoencoders”, Springer Communications in Computer and Information Science Series, Vol. 2087, pp.114-129, 2024. Available here (https://doi.org/10.1007/978-3-031-62753-8_7).

[B3] A. Zanella, F. Mason, P. Pluchino, G. Cisotto, V. Orso, and L. Gamberini, “DOMHO: A Smart Assisted-living Solution for Fragile People,” in CNIT-Technical Report-08 “ICT for Health: Sensing, Data Analysis and Applications”, M. Rossi and G. Cisotto, and R. Raheli, Guest Eds., G. Galati, Ed. Rome (IT): CNIT, 2022, pp.143-162. [ISBN9788894982534]

[B2] G. Cisotto, and S. Pupolin, “An integrated perspective for future wide spread integration of motor-rehabilitation,” in Neuro-rehabilitation with Brain Interface, L.P. Ligthart and R. Prasad, Eds., and S. Pupolin, Guest Ed., Aalborg (DK): River Publishers, 2015, pp.89-119. [ISBN978-87-93237-43-8]

[B1] S. Pupolin, G. Cisotto and F. Piccione, “EEG signal processing for post-stroke motor rehabilitation,” in Convergence of Communication, Navigation, Sensing and Services, L.P. Ligthart and R. Prasad, Eds., Aalborg (DK): River Publishers, 2014, pp.71-89. [ISBN978-87-93102-75-0]

[C33] A. Zancanaro, A. Munari, G. Cisotto, and L. Badia "Impact of Transmission Delays Over Age of Information Under Finite Horizon Scheduling", IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Edinburgh, Scotland (GB), Nov. 6-8, 2023, pp.99-104 (The paper can be found here). DOI: 10.1109/CAMAD59638.2023.10478413

[C32] A. Zancanaro, F. I. Zoppis, S. L. Manzoni, and G. Cisotto, "vEEGNet: A new deep learning model to classify and generate EEG", 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE), Prague (CZ), Apr. 22-24, pp. 245-252, 2023 (The paper can be found here).

[C31] A.V. Guglielmi, G. Cisotto, T. Erseghe, and L. Badia, “Frequency-Dependent Functional Connectivity of Brain Networks at Resting-State”, 14th IEEE Biomedical Engineering International Conference (BMeiCON), Songkhla and Koh Li Pe Satun (Thailand, actually virtual), Nov. 10–13, pp. 1-5, 2022 (oral presentation).

[C30] A. Zancanaro, G. Cisotto, D. Tegegn, S. L. Manzoni, I. Reguzzoni, E. Lotti and I. Zoppis, “Variational Autoencoder for Early Stress Detection in Smart Agriculture: A Pilot Study,” IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), Perugia (Italy), Nov. 3-5, pp.126-130, 2022 (oral presentation).

[C29] L. Crosara, A. Zancanaro, G. Cisotto, N. Laurenti and L. Badia, “Analytical Evaluation of Age of Information in Networks of Correlated Sources”, IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), Perugia (Italy), Nov. 3-5, pp. 323-328, 2022 (oral presentation).

[C28] O. Maddaluno, R. Guidotti, A. Vettoruzzo, L. Marzetti, G. Cisotto, V. Betti, “Spectral connectivity fingerprint in the resting human brain: a MEG study,” Annual Meeting of the Society for Neuroscience (SfN), San Diego (CA, USA), Nov. 2022 (poster presentation).

[C27] A. Zancanaro, G. Cisotto, and L. Badia, “Modeling value of information in remote sensing from correlated sources,” 20th IEEE Mediterranean Communication and Computer Networking Conference (MedComNet), Paphos (Cyprus), pp. 47-53, 2022 (oral presentation).

[C26] D. Scapin, G. Cisotto, E. Gindullina, and L. Badia, “Shapley Value as an Aid to Biomedical Machine Learning: a Heart Disease Dataset Analysis,” AI4Health Workshop (virtual attendance) co-located with the 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid), pp. 933-939, May 2022 (oral presentation).

[C25] A. Zancanaro, G. Cisotto, and L. Badia, “Challenges of the Age of Information Paradigm for Metrology in Cyberphysical Ecosystems,” IEEE International Workshop on Metrology for Living Environment (MetroLivEn), Cosenza (Italy), pp. 127-131, May 2022 (oral presentation).

[C24] L. Pasini, A. Policante, D. Rusmini, G. Cisotto, E. Gindullina, and L. Badia, “On the Choice of Utility Functions for Multi-Agent Area Survey by Unmanned Explorers,” In 2022 International Wireless Communications and Mobile Computing (IWCMC), Dubrovnik (Croatia), pp. 1136-1141, May 2022 (oral presentation).

[C23] A. V. Guglielmi, A. Muraro, G. Cisotto, and N. Laurenti, “Information Theoretic Key Agreement Protocol based on ECG signals,” 2021 IEEE Global Communications Conference (GLOBECOM), Madrid (ES), Dec. 2021 (oral presentation).

[C22] A. Zancanaro, G. Cisotto, J.R.Paulo, G. Pires, and U. Nunes, “CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From the State-of-The-Art to DynamicNet,” IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2021, pp. 1-7 (oral presentation).

[C21] G. Cisotto, “REPAC: Reliable estimation of phase-amplitude coupling in brain networks,” 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun. 2021, pp. 1075-79 (oral presentation).

[C20] M. Avanzi, R. Coniglio, G. Cisotto, M. Giordani and N. Ferro, “NoBis: A Crowd Monitoring Service Against COVID-19”, 17th Italian Research Conference on Digital Libraries (IRCDL), Feb. 2021, pp. 126-137 (oral presentation).

[C19] G. Cisotto*, G. Rosati*, D. Sili, L. Compagnucci, C. De Giorgi, E.F. Pavone, V. Betti, and A. Paccagnella, “Inkjet-printed customizable electrodes matrix for gesture recognition,” 30th World Congress on Biosensors, Jul. 2021 (poster).

[C18] G. Cisotto, M. Capuzzo, A.V. Guglielmi and A. Zanella, “Feature selection for gesture recognition in Internet-of-Things for healthcare,” 2020 IEEE International Conference on Communications (ICC), Jun. 2020, pp. 1-6 (oral presentation).

[C17] G. Mauri, F. Stella, A. Morreale, G. Cisotto, S. Manzoni, A. Zanga and I. Zoppis, “An Attention-based Architecture for EEG Classification,” 2019 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC), La Valletta (Malta), Feb. 2020, pp. 214-219 (oral presentation).

[C16] M. Gadaleta, G. Cisotto, M. Rossi, R. Z. Ur Rehman, L. Rochester and S. Del Din, "Deep Learning Techniques for Improving Digital Gait Segmentation," 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul. 2019, pp. 1834-1837 (oral presentation).

[C15] G. Cisotto*, G. Rosati* and A. Paccagnella, “A simple and accessible inkjet platform for ultra-short concept-to-prototype sEMG electrodes production,” 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Jul. 2019, pp. 5765-5768 (oral presentation).

[C14] G. Cisotto, A. V. Guglielmi, L. Badia and A. Zanella, "Joint Compression of EEG and EMG Signals for Wireless Biometrics," 2018 IEEE Global Communications Conference (GLOBECOM), Dec. 2018, pp. 1-6 (oral presentation).

[C13] G. Cisotto, A. V. Guglielmi, L. Badia and A. Zanella, "Classification of grasping tasks based on EEG-EMG coherence," 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom), Sept. 2018, pp. 1-6 (oral presentation and Outstanding Paper Award).

[C12] Cisotto G., Kita K., Uehara K., Yoshinaga K., Hashimoto Y., Sakamoto T., Ushiba J. and Hanakawa T., “Abnormal electroencephalographic oscillations in β and low γ bands in patients with writer’s cramp”, Annual Meeting of Society for Neuroscience, Washington (DC), USA, Nov. 2017 (poster).

[C11] Cisotto G., Scattolin M. and Badia L., “Cross-frequency coupling: an application of modulation theory to electrophysiology”, International Conference of Executive Functions (CNEF), Padova (Italy), p.89, Sept. 2017 (poster).

[C10] Cisotto G., Michieli U. and Badia L., “A coherence study on EEG and EMG signals”, in Proc. 2016 IEEE Global Wireless Summit, Nov. 2016, pp. 372-376 (oral presentation).

[C9] G. Cisotto and L. Badia, "Cyber security of smart grids modeled through epidemic models in cellular automata," 2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), June 2016, pp. 1-6 (oral presentation).

[C8] Cisotto G., “Cross-frequency coupling: the theoretical framework”, presented at the Annual Meeting of Society for Neuroscience, San Diego (CA), USA, Nov. 2016 (poster presentation).

[C7] Cisotto G. and Pupolin S., “Real-time detection of EEG electrode displacement for Brain-Computer Interface applications”, in Proc. 5th International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace & Electronic Systems (Wireless VITAE), Dec. 2015 (oral presentation).

[C6] Cisotto G., Kita K., Uehara K., Hashimoto Y., Sakamoto T., Ushiba J., Hanakawa T., “Abnormal EEG oscillations in writer's cramp”, presented at the Annual Meeting of Society for Neuroscience, Chicago (IL), USA, Oct. 2015 (poster).

[C5] Cisotto G., Pupolin S. and Piccione F., “Comparison About EEG Signals Processing in BCI Applications”, Proc. 4th International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace & Electronic Systems (VITAE), May 2014, pp.1-5 (oral presentation).

[C4] Cisotto G., Piccione F. and Pupolin S., “Brain-Computer interface systems in the rehabilitation of chronic stroke patients with no cognitive impairments”, Egyptian Computer Science Journal, 37(7), Dec. 2013 (oral presentation). 

[C3] Cisotto G., Silvoni S., Piccione F. and Pupolin S., “An application of Brain-Computer Interface in chronic stroke to improve arm reaching function exploiting Operant Learning strategy and Brain Plasticity”, In Proc. 15th International Conference on E-health Networking, Application & Services (IEEE Healthcom), Oct. 2013, pp. 261-263 (oral presentation).

[C2] Cisotto G., Pupolin S., Silvoni S., Cavinato M., Agostini M. and Piccione F., “Brain-Computer Interface in Chronic Stroke: an Application of Sensorimotor Closed-loop and Contingent Force Feedback”, In Proc. IEEE International Conference on Communications (ICC), Jun. 2013, pp.  2972-2976 (oral presentation).

[C1] Silvoni S., Genna C., Cisotto G., Cavinato M., Volpato C., De Massari D. and Cattin D., “Comparison of Vibro-tactile ERPs Classification Methods”, In Proc. of Tools for Brain-Computer Interaction (TOBI) Workshop IV, Jan. 2013, pp. 85-86 (oral presentation).

[E1] G. Pires, M. Castelo-Branco, C. Guger and G. Cisotto, “Error-related potentials: Challenges and applications,“ Frontiers in Human Neuroscience, 16, 2022. 

[W2] G. Cisotto, “Towards an EEG-based prediction of hand movement: modelling and challenges”, REPAC Workshop ”Brain connectivity and coupling in rest and movement”, Padova, 20 May 2022.

[W1] M. Antoniotti, S. Bandini, D. Besozzi, S. Bianco, P. Bonizzoni, A. Bregoli, M. Buzzelli, F. Cabitza, L. Celona, G. Ciocca, G. Cisotto, G. Della Vedova, F. Gasparini, S. Manzoni, G. Mauri, E. Messina, P. Napoletano, G. Pasi, R. Rizzi, A. Saibene, F. Sartori, R. Schettini, S. Spolaor, F. Stella, M. Viviani, A. Zanga, I. Zoppis “AI per la medicina e la salute al DISCo”, presented at the Workshop “AI per la Medicina e la Salute”, Ital-IA 2022 (virtual attendance), Italy, Feb. 2022.