For sleep health professionals, tracking sleep stages is an essential tool to determine the best course of action with sleep medicine. Sleep disorders, present in a large portion of the global population, are strongly linked to morbidity and mortality. Sleeping staging is hugely informative for health professionals, but the process itself is time-consuming and leaves room for error. Enter artificial intelligence.
Evaluating hours of sleep records and patient data will now be significantly easier, thanks to U-Sleep, a publicly available automated sleep staging system. U-Sleep, created by the Department of Computer Science, University of Copenhagen, Denmark, is a neural network that provides information that leads to new ways of analyzing sleep stages. Using polysomnography recordings, or PSG, U-sleep was created through the use of more than 15,000 participants and 16 clinical studies. According to npj Digital Medicine, which studied U-Sleep’s effectiveness, the neural network that operates U-Sleep was trained and evaluated on the largest and most diverse set of PSG records ever collected.
The potential benefits of this AI technology could mean major breakthroughs in sleep medicine. U-Sleep’s ability to categorize and monitor sleep cycles with expert-level performance would not only allow sleep researchers to gather more data on sleep disorders, but free up valuable resources for other projects and studies. This technology could also serve as a global benchmark for sleep staging, sparking a greater conversation between clinical researchers.
Sleep disorders are becoming more common, and recent studies prove how dangerous sleep deprivation can be. Many people have turned to sleep trackers or other forms of self-administered health monitors. Others look to more alternative methods. Regardless of preference, getting enough sleep and improving sleep quality isn’t just a smart choice for your well-being—it’s essential to your health. The potential that U-Sleep has to improve a sleep professional’s ability to track our sleep stages may lead to larger breakthroughs in sleep disorders across the board.