HoneyNaps "SOMNUM",which is automatically read by AI, within 5 minutes of polysomnography test data.

Reported by Sol Lim / Oct 08, 2020

HoneyNaps is planning to release "SOMNUM," which is automatically read by AI, within 5 minutes of polysomnography test data.

Presentation of the American Academy of Sleep Medicine, application status for FDA approval. The sleep center medical staff shortened the analysis time and produced quick and accurate results.

A solution that can reduce time and predict diseases by automatically reading the results of the polysomnography test by Artificial Intelligence (AI), not by a sleep driver, will be released within this year.

Healthcare startup HoneyNaps announced on the 8th that it is about to release "SOMNUM," a solution software to diagnose, predict, and prevent diseases by automatically analyzing data measured in polysomnography test based on AI algorithms.

The company said, "Medical staff at the sleep center, who have to monitor patients sleeping and analyzing tests in real time at night, can use 'SOMNUM' to shorten the analysis time and focus more on patient care. We expect to be able to provide patients with quick and accurate results, he explained.

According to a U.S. sleep market report, more than 100 million people around the world suffer from sleep disorders such as sleep apnea and insomnia, but about 90% do not receive treatment. Globally, various new technologies are being developed in the sleep industry, and as of 2020, the market size is known to be 76.11 billion dollars. The average annual growth rate of the sleep industry is expected to reach 14% by 2026.

The polysomnography test is a test to diagnose sleep disorders. During sleep, brain waves, eye movements, muscle movements, breathing, and electrocardiogram are comprehensively measured, and at the same time, sleep conditions are recorded through video. Various sleep-related diseases can be diagnosed by analyzing the records obtained from the test.

The polysomnography test is a very precise and professional test in which a sleep specialist scores every 30 seconds and reads again by a sleep specialist.

It usually takes three to four hours for a sleep driver to analyze and review patient sleep data for more than six hours every 30 seconds. However, it is explained that the use of "SOMNUM," developed by HoneyNaps, can take up to four to five minutes to analyze the patient's POLYSOMNUM test data and provide results.

The validity of the AI algorithm of "SOMNUM" was announced in August of this year at the Sleep 2020 Conference hosted by the American Academy of Sleep Medicine.

Ji-ho Choi, a professor of otolaryngology at Soonchunhyang University Bucheon Hospital, Jeong Seok-hoon, a professor of psychiatry at Asan Medical Center, Hyun-joon Kim, an otolaryngology professor at Ajou University, Shin-il Kang, a professor of mechanical engineering at Yonsei University, and Raymond Fu, a professor at North Eastern University participated in the development. Safety and effectiveness were confirmed through clinical trials.

The company applied for approval from the U.S. Food and Drug Administration (FDA) in August this year with the aim of entering the U.S. market in earnest from 2021, and is currently under review. After receiving a request for data reinforcement once, the company completed the second application in September and expected it to be approved in November. Domestic licensing procedures are also underway at the same time.

Unlike video-based artificial intelligence software released so far, FDA approval is expected in the fourth quarter of this year as Korea's first deep learning-based analysis software capable of analyzing large-capacity signals in real time, the company said.

In the future, the company is planning to launch an integrated solution that connects the sleep management of personal healthcare areas from the solution used in the diagnostic area of the sleep center to the sleep management of the sleep area.

HoneyNaps Ho-dong Lee, General Technical Officer (CTO), said, "Sleep disorders are not only important to accurately diagnose in medical institutions, but also to continuously track sleep patterns and improve and maintain eating habits in individual daily lives." Currently, HoneyNaps is focusing its capabilities on developing solutions that combine AI analysis technology and personal healthcare services by researching with domestic and foreign sleep experts and artificial intelligence experts, he said.

At the same time as FDA approval is completed, we will be recognized for our technology in the global market by entering the U.S. market, and introduce products tailored to the domestic digital medical environment through medical device certification by the Ministry of Food and Drug Safety in the future, he said.

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