Detection and monitoring of neural signals is a fast-advancing area of research expected to
impact a broad range of advanced applications, from healthcare to brain–machine and even …

Introduction: Although abundant research delving into the acute exercise-induced
modulation of cognitive performance and the P300-ERP component has been conducted …

Objective. Brain–machine interfaces are key components for the development of hands-free,
brain-controlled devices. Electroencephalogram (EEG) electrodes are particularly attractive …

Electroencephalography (EEG) provides an opportunity to gain insights to electrocortical
activity without the need for invasive technology. While increasingly used in various …

Recognition of familiar music on brainwaves through machine learning (ML) can be
instrumental in innovative therapeutic devices that improve memory and communication in …

Detecting familiar music using brainwaves through machine learning can be pivotal for
innovative therapeutic devices benefiting dementia patients' memory and communication …

Methods of psychophysiological testing and electroencephalography were used to study the
effect of physical activity on cognitive functions (in particular, in the decision-making ability …

Athletes interpret dynamic visual scenes quickly and accurately during physical exertion. It is
important to understand how increased exertion may impact vision and cognition following …

Background: Exercise and health science researchers have been applying neuroimaging
techniques such as electroencephalography (EEG) to elaborate on the brain's electrical …

La mia tesi, dal titolo “Il processo attentivo e di concentrazione nel pugilato”, ha preso forma
nel momento in cui, spinto da un particolare interesse, ho deciso di indagare se fosse …