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Synthetic intelligence enhances efficacy of sleep problem therapies

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Issue sleeping, sleep apnea and narcolepsy are amongst a spread of sleep issues that 1000’s of Danes endure from. Moreover, it’s estimated that sleep apnea is undiagnosed in as many as 200,000 Danes.

In a brand new research, researchers from the College of Copenhagen’s Division of Laptop Science have collaborated with the Danish Heart for Sleep Medication on the danish hospital Rigshospitalet to develop a man-made intelligence algorithm that may enhance diagnoses, therapies, and our general understanding of sleep issues.

“The algorithm is very exact. We accomplished numerous checks during which its efficiency rivaled that of the perfect medical doctors within the discipline, worldwide,” states Mathias Perslev, a Ph.D. on the Division of Laptop Science and lead creator of the research, not too long ago printed within the journal npj Digital Medication.

Can help medical doctors of their therapies

At present’s sleep problem examinations sometimes start with admittance to a sleep clinic. Right here, an individual’s evening sleep is monitored utilizing numerous measuring devices. A specialist in sleep issues then critiques the 7-8 hours of measurements from the affected person’s in a single day sleep.

The physician manually divides these 7-8 hours of sleep into 30-second intervals, all of which have to be categorized into totally different sleep phases, similar to REM (fast eye motion) sleep, gentle sleep, deep sleep, and many others. It’s a time-consuming job that the algorithm can carry out in seconds.

“This challenge has allowed us to show that these measurements will be very safely made utilizing machine studying—which has nice significance. By saving many hours of labor, many extra sufferers will be assessed and identified successfully,” explains Poul Jennum, professor of neurophysiology and Head of the Danish Heart for Sleep Medication.

Within the Capital Area of Denmark alone, greater than 4,000 polysomnography checks—generally known as PSG or sleep research—are performed yearly on sufferers with sleep apnea and extra sophisticated sleeping issues. It takes 1.5-3 hours for a health care provider to research a PSG research. Thus, within the Capital Area of Denmark alone, between 6,000 and 12,000 medical hours might be freed up by deploying the brand new algorithm.

The algorithm features throughout sleep clinics and affected person teams

By gathering information from quite a lot of sources, the researchers behind the algorithm have been in a position to make sure optimum performance. In all, 20,000 nights of sleep from the USA and a bunch of European international locations have been collected and used to coach the algorithm.

“We have now collected sleep information from throughout continents, sleep clinics and affected person teams. The truth that the algorithm works effectively underneath such numerous situations is a breakthrough,” clarify Mathias Perslev and Christian Igel, who led the challenge on the pc science aspect, including:

“Attaining this sort of generalization is likely one of the biggest challenges in medical information evaluation.”

They hope that the algorithm will serve to assist medical doctors and researchers all over the world to study extra about sleep issues sooner or later. The sleep evaluation software program is freely out there at sleep.ai.ku.dk and can be utilized by anybody, anyplace—together with locations the place there is not a sleep clinic across the nook.

“Only a few measurements taken by frequent medical devices are required for this algorithm. So, use of this software program might be notably related in creating international locations the place one might not have entry to the most recent gear or an knowledgeable,” says Mathias Perslev.

The researchers are actually working with Danish physicians to get the software program and algorithm permitted for medical use.


Sleep issues: Sufferers typically underestimate their complete sleep time


Extra data:
Mathias Perslev et al, U-Sleep: resilient high-frequency sleep staging, npj Digital Medication (2021). DOI: 10.1038/s41746-021-00440-5

Supplied by
College of Copenhagen


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Synthetic intelligence enhances efficacy of sleep problem therapies (2021, June 8)
retrieved 13 June 2021
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