A5032159670- EEG and Brain-Computer Interfaces
- Photoreceptor and optogenetics research
- Healthcare Technology and Patient Monitoring
- Blind Source Separation Techniques
- Neural Networks and Applications
- Neural dynamics and brain function
- Anomaly Detection Techniques and Applications
- Heart Rate Variability and Autonomic Control
- Fault Detection and Control Systems
Azienda-Unita' Sanitaria Locale Di Cesena
2022
University of Bologna
2018
Canonical Correlation Analysis (CCA) is an increasingly used approach in the field of Steady-State Visually Evoked Potential (SSVEP) recognition. The efficacy method has been widely proven, and several variations have proposed. However, most CCA tend to complicate method, usually requiring additional user training or increasing computational load. Taking simple procedures low costs may be, however, a relevant aspect, especially view low-cost high-portability devices. In addition, it would be...
Interventional cardiologists' mental workload may impact on their performance as well patients' outcome. Nevertheless, little attention is paid to the monitoring and optimization of status. Electroencephalogram (EEG)-based neural-interfaces can estimate fatigue sleepiness through spectral analysis techniques amplitude alpha waves a widely validated indicator engagement's level.The present study aims describe variation psychometrics neurometrics during work shift in population 7...