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 ...

A set of functions are presented for Octave/MATLAB that allow easy, consistent, and properly scaled DFT/FFT analysis of signals and noise. The techniques and functions presented are easily translated ...

Virginia will discuss work on single-trial analysis of EEG signals during episodic memory tasks. They develop single-trial classifiers to predict whether people will remember pictures from EEG ...

EEG sensors record brain activity (left), generating brainwave signals (middle) that are analyzed by explainable AI (top right) and mapped onto brain regions (bottom right) to detect and interpret ...

Researchers at örebro University have developed two new AI models that can analyze the brain's electrical activity and accurately distinguish between healthy individuals and patients with dementia, ...