153 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of PaduaIT4 papers
- Consorzio Nazionale Interuniversitario per le TelecomunicazioniIT3 papers
- Tokai UniversityJP2 papers
- Tokyo Metropolitan Institute of Medical ScienceJP2 papers
- Tokyo Metropolitan Matsuzawa HospitalJP2 papers
- Argonne National LaboratoryUS1 paper
- BioTechMed-GrazAT1 paper
- Donders Institute for Brain, Cognition and BehaviourNL1 paper
- Graz University of TechnologyAT1 paper
- High Energy Accelerator Research OrganizationJP1 paper
- Japan Synchrotron Radiation Research InstituteJP1 paper
- National Institute of Mental HealthUS1 paper
3 papers · 1 filter
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…