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 new advance from Carnegie Mellon University researchers could reshape how clinicians identify the brain regions responsible for drug-resistant epilepsy. Surgery can be a life-changing option for ...

Researchers at the University of California, San Francisco have found that machine-learning analysis of brain waves recorded during sleep can identify women at risk of cognitive decline up to five ...

Electroencephalogram (EEG) is a method used to measure and visualize spontaneous electrical activity within the brain. Electrical impulses are the main form of signaling found within the brain; ...

Microstructural EEG features may offer a scalable tool for early dementia detection ...

The EU research project EMBRACE at German Technical University of Ilmenau has been nominated for the European Excellence Award. In this medical technology project, an interdisciplinary team of ...

Researchers at Chiba University in Japan have developed a new artificial intelligence framework capable of decoding complex brain activity with significantly improved accuracy, marking an important ...

VGTel, Inc. (OTCID: VGTL) today announced the release of initial findings from its previously disclosed electroencephalogram ...