Researchers from Radboud University Medical Center and King's College London present a comprehensive framework for validating ...

The human brain can learn through experience to filter out disturbing and distracting stimuli -- such as a glaring roadside billboard or a flashing banner on the internet. Scientists have used ...

Electroencephalography (EEG) may offer a more accessible alternative to functional magnetic resonance imaging (fMRI) for guiding transcranial direct current stimulation (tDCS) when treating ...

The marvel of EEG reveals brain activity non-invasively, aiding in diagnosis and research with simple, cost-effective technology.

It is 10 years before the scientific community accepts Berger’s work, birthing the field of electroencephalography, or EEG for short.

Brainwave cap: researchers in the Netherlands have used electroencephalography in ambulances to determine the severity of stokes. (Courtesy: Amsterdam UMC) A system that recognizes the distinctive ...

Electroencephalography characteristics related to risk of sudden unexpected death in epilepsy in patients with Dravet syndrome Jeong-Youn Kim 1 Jeongyoon Shin 2,3 Laehyun Kim 4,5 * Se Hee Kim 6 * ...

This paper identifies the primary open datasets of electroencephalography tests and how they are used in deep learning models. The aim is to provide structured information that can be consulted by ...

Data are the main headache for machine learning, both because of their varied nature and their limited availability. The medical field brings together both situations: tables, images, text, or signals ...