The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Hyderabad: Artificial Intelligence (AI) is transforming the way sleep disorders are diagnosed, with researchers at the International Institute of Information Technology, Hyderabad ...

A poor night’s sleep may do more than leave one tired the next day — it could also signal serious health risks years in advance. Researchers from Stanford Medicine have developed a new artificial ...

A large cohort study demonstrated the validity and reliability of single-channel electro-oculography (EOG) for sleep-stage classification. As outlined by the American Academy of Sleep Medicine (AASM) ...

A transformer-based AI model analyzes eight-hour sleep signals from brain, movement, cardiac, and respiratory data to generate summaries, which are then used to classify sleep stages for the entire ...

The sleep cycle has three NREM stages and one REM stage. Deep sleep occurs in stage 3 and is crucial for feeling refreshed. REM sleep helps in processing and storing memories. As we sleep, our brain ...

Now that we have wearables tracking our every move, a lot of us can look at stats that supposedly tell us how well we’ve slept the night before. But sometimes, it can feel like your sleep tracker is ...