Giulia Cisotto
Giulia Cisotto
University of Milan-Bicocca - Dept. Informatics, Systems and Communication
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Zitiert von
Zitiert von
Brain-computer interface in stroke: a review of progress
S Silvoni, A Ramos-Murguialday, M Cavinato, C Volpato, G Cisotto, ...
Clinical EEG and neuroscience 42 (4), 245-252, 2011
Requirements and enablers of advanced healthcare services over future cellular systems
G Cisotto, E Casarin, S Tomasin
IEEE Communications Magazine 58 (3), 76-81, 2020
Deep learning techniques for improving digital gait segmentation
Gadaleta M., Cisotto G., Rossi M., Zia Ur Rehman R., Rochester L., Del Din S.
41st Annual International Conference of the IEEE Engineering in Medicine …, 2019
Evolution of ICT for the improvement of quality of life
G Cisotto, S Pupolin
IEEE Aerospace and Electronic Systems Magazine 33 (5-6), 6-12, 2018
Classification of grasping tasks based on EEG-EMG coherence
G Cisotto, AV Guglielmi, L Badia, A Zanella
2018 IEEE 20th International Conference on e-Health Networking, Applications …, 2018
Deep learning-based classification of fine hand movements from low frequency EEG
G Bressan, G Cisotto, G Muller-Putz, SC Wriessnegger
MDPI Future Internet 13 (5), 103, 2021
Cyber security of smart grids modeled through epidemic models in cellular automata
G Cisotto, L Badia
2016 ieee 17th international symposium on a world of wireless, mobile and …, 2016
Brain-computer interface in chronic stroke: An application of sensorimotor closed-loop and contingent force feedback
G Cisotto, S Pupolin, S Silvoni, M Cavinato, M Agostini, F Piccione
2013 IEEE International Conference on Communications (ICC), 4379-4383, 2013
Comparison of attention-based deep learning models for EEG classification
G Cisotto, A Zanga, J Chlebus, I Zoppis, S Manzoni, ...
arXiv preprint arXiv:2012.01074, 2020
Joint Compression of EEG and EMG Signals for Wireless Biometrics
Cisotto G., Guglielmi A. V., Badia L., Zanella A.
2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018
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
G Cisotto, S Pupolin, M Cavinato, F Piccione
International Journal of E-Health and Medical Communications (IJEHMC) 5 (1 …, 2014
Feature selection for gesture recognition in Internet-of-Things for healthcare
G Cisotto, M Capuzzo, AV Guglielmi, A Zanella
ICC 2020 - 2020 IEEE International Conference on Communications (ICC), 2020
Kinematic and neurophysiological consequences of an assisted-force-feedback brain-machine interface training: a case study
S Silvoni, M Cavinato, C Volpato, G Cisotto, C Genna, M Agostini, ...
Frontiers in neurology 4, 173, 2013
Cascaded WLAN-FWA Networking and Computing Architecture for Pervasive In-Home Healthcare
S Martiradonna, G Cisotto, G Boggia, G Piro, L Vangelista, S Tomasin
IEEE Wireless Communications, 1-8, 2021
Internet of things for elderly and fragile people
A Zanella, F Mason, P Pluchino, G Cisotto, V Orso, L Gamberini
CNIT-TR-08 (arXiv preprint arXiv:2006.05709), 2020
An application of Brain Computer Interface in chronic stroke to improve arm reaching function exploiting operant learning strategy and brain plasticity
G Cisotto, S Pupolin, S Silvoni, F Piccione
2013 IEEE 15th International Conference on e-Health Networking, Applications …, 2013
A coherence study on EEG and EMG signals
G Cisotto, U Michieli, L Badia
IEEE Global Wireless Summit, 372-376, 2016
CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNet
A Zancanaro, G Cisotto, JR Paulo, G Pires, UJ Nunes
IEEE CIBCB (arXiv preprint arXiv:2105.07917), 2021
Modeling value of information in remote sensing from correlated sources
A Zancanaro, G Cisotto, L Badia
2022 20th Mediterranean Communication and Computer Networking Conference …, 2022
Information Theoretic Key Agreement Protocol based on ECG signals
AV Guglielmi, A Muraro, G Cisotto, N Laurenti
IEEE Globecom (arXiv preprint arXiv:2105.07037), 2021
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