Bates students in certain majors, like psychology and neuroscience, conduct studies on topics ranging from behavior patterns to how the brain perceives images. Often, they recruit fellow Bates ...

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 ...

Decoding the human brain using non-invasive methods is a significant challenge. This study aims to enhance electroencephalography (EEG) decoding by developing of machine learning methods. Specifically ...

A wearable system for the personalized EEG-based detection of engagement in learning 4.0 is proposed. In particular, the effectiveness of the proposed solution is assessed by means of the ...

Researchers at Duke University have developed an assistive machine learning model that greatly improves the ability of medical professionals to read the electroencephalography (EEG) charts of ...

Mayo Clinic scientists are using artificial intelligence (AI) and machine learning to analyze electroencephalogram (EEG) tests more quickly and precisely, enabling neurologists to find early signs of ...

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 ...

Better understanding the brain’s response to electrical stimulation could open up new avenues for treating brain disorders. A device being development at the SLAC National Accelerator Laboratory and ...