37 citations · 63 across the 5 of their papers we have counts for
7 papers · 1 filter
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…
Deep Learning Techniques for Improving Digital Gait Segmentation
Matteo Gadaleta, Giulia Cisotto, Michele Rossi +3
Wearable technology for the automatic detection of gait events has recently gained growing interest, enabling advanced analyses that were previously limited to specialist centres a…
Performance Requirements of Advanced Healthcare Services over Future Cellular Systems
Giulia Cisotto, Edoardo Casarin, Stefano Tomasin
The fifth generation (5G) of communication systems has ambitious targets of data rate, end-to-end latency, and connection availability, while the deployment of a new flexible netwo…
Comparison About EEG Signals Processing in BCI Applications
Giulia Cisotto, Silvano Pupolin, Francesco Piccione
In the context of a Brain Computer Interface platform implemented for the arm rehabilitation of mildly impaired stroke patients, two methods of EEG signals processing are compared…