With the development of brain-computer interface (BCI) technology, the application of electroencephalography (EEG) signals in motion decoding has been ...

Abstract: Quantifying the complexity of biomedical signals offers critical insight into underlying physiological and pathological dynamics. This study systematically evaluates compression-based ...

A comprehensive electroencephalography (EEG) analysis pipeline implementing Representational Similarity Analysis (RSA) to replicate and extend findings from Wilson et al.'s study on mental imagery ...

A new brainwave test could detect early signs of Alzheimer’s years before diagnosis — in just three minutes. That’s according to researchers at the University of Bath and the University of Bristol, ...

Cecchetti has received honoraria for lectures from Neopharmed Gentili and Eli Lilly. Spinelli has received funding from the Next Generation EU programme, via the National Recovery and Resilience Plan ...

This project demonstrates the design and development of an open-source, homebrew single-lead EEG acquisition and preprocessing system. It spans circuit-level prototyping, simulation (Simscape), ...

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...

Introduction: Dry electroencephalography (EEG) allows for recording cortical activity in ecological scenarios with a high channel count, but it is often more prone to artifacts as compared to ...