Discover how Electroencephalography (EEG) records brain activity to diagnose epilepsy, strokes, and sleep disorders. Learn ...

In hospital intensive care units, neurologists often use a simple scorecard to quickly evaluate a critically ill patient's likelihood of having a brain-damaging seizure so they can prevent it. The ...

A machine learning model trained on EEG data from patients recovering from strokes helps predict how new patients will regain ...

Please provide your email address to receive an email when new articles are posted on . A wearable, portable electroencelphalogram, or EEG, system will allow clinicians to rapidly review real-time ...

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 ...

People with spinal cord injuries often lose movement even though their brains still send the right signals. Researchers tested whether EEG brain scans could capture those signals and reroute them to ...

New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...

EEG-based machine learning predicted SSRI treatment response in depression with high accuracy. Learn how brain signals could ...