Artificial intelligence predicts brain age from EEG signals recorded during sleep studies

A study shows that a deep neural network model can accurately predict the brain age of healthy patients based on electroencephalogram data recorded during an overnight sleep study, and EEG-predicted brain age indices display unique characteristics within populations with different diseases.

Share:

Facebook
Twitter
Pinterest
LinkedIn

Leave a Reply

Related Posts

Vitamins and Minerals

Vitamins and minerals are micronutrients required by the body to carry out a range of normal functions. However, these micronutrients are not produced in our