70 citations · 224 across the 13 of their papers we have counts for
14 papers
CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNet
Alberto Zancanaro, Giulia Cisotto, João Ruivo Paulo +2
Motor imagery (MI)-based brain-computer interface (BCI) systems are being increasingly employed to provide alternative means of communication and control for people suffering from…
Information Theoretic Key Agreement Protocol based on ECG signals
Anna V. Guglielmi, Alberto Muraro, Giulia Cisotto +1
Wireless body area networks (WBANs) are becoming increasingly popular as they allow individuals to continuously monitor their vitals and physiological parameters remotely from the…
ACTA: A Mobile-Health Solution for Integrated Nudge-Neurofeedback Training for Senior Citizens
Giulia Cisotto, Andrea Trentini, Italo Zoppis +5
As the worldwide population gets increasingly aged, in-home telemedicine and mobile-health solutions represent promising services to promote active and independent aging and to con…
Comparison of Attention-based Deep Learning Models for EEG Classification
Giulia Cisotto, Alessio Zanga, Joanna Chlebus +3
Objective: To evaluate the impact on Electroencephalography (EEG) classification of different kinds of attention mechanisms in Deep Learning (DL) models. Methods: We compared three…
Deep learning-based classification of fine hand movements from low frequency EEG
Giulia Bressan, Selina C. Wriessnegger, Giulia Cisotto
The classification of different fine hand movements from EEG signals represents a relevant research challenge, e.g., in brain-computer interface applications for motor rehabilitati…
REPAC: Reliable estimation of phase-amplitude coupling in brain networks
Giulia Cisotto
Recent evidence has revealed cross-frequency coupling and, particularly, phase-amplitude coupling (PAC) as an important strategy for the brain to accomplish a variety of high-level…