Sleep Study Data Predict Brain Age
AI model uses EEG signals recorded during sleep studies
Stay updated with breaking news from Yoav Nygate. Get real-time updates on events, politics, business, and more. Visit us for reliable news and exclusive interviews.
AI model uses EEG signals recorded during sleep studies
Deep neural network model can accurately predict the brain age of healthy patients 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. The study found that the model predicted age with a mean absolute error of only 4.6 years. There was a statistically significant relationship between the Absolute Brain Age Index and: epilepsy and seizure disorders, stroke, ...
E-Mail DARIEN, IL - 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. The study found that the model predicted age with a mean absolute error of only 4.6 years. There was a statistically significant relationship between the Absolute Brain Age Index and: epilepsy and seizure disorders, stroke, elevated markers of sleep-disordered breathing (i.e., apnea-h...