{"id":938836,"date":"2024-10-09T13:00:45","date_gmt":"2024-10-09T13:00:45","guid":{"rendered":"https:\/\/ouraring.wpengine.com\/?p=938836"},"modified":"2025-03-05T19:55:19","modified_gmt":"2025-03-05T19:55:19","slug":"2024-sensors-oura-ring-validation-study","status":"publish","type":"post","link":"https:\/\/ouraring.wpengine.com\/cs\/2024-sensors-oura-ring-validation-study\/","title":{"rendered":"Study from Top US Hospital Finds Oura Ring Most Accurate Consumer Sleep Tracker Tested in Four-Stage Sleep Classification"},"content":{"rendered":"

\u014cURA, maker of Oura Ring, the most trusted smart ring, today announced the results of a new sleep accuracy study<\/a> published in the peer-reviewed publication, <\/span>Sensors<\/span><\/i>, and presented at Sleep Europe 2024, Europe’s leading congress on sleep medicine and sleep research. The study, conducted by researchers at Brigham and Women\u2019s Hospital, evaluated the accuracy of sleep-staging algorithms in three consumer wearable devices\u2014Oura Ring, Fitbit Sense, and Apple Watch\u2014against gold-standard polysomnography and found that Oura Ring was the most accurate sleep tracker in four-stage sleep classification.<\/span><\/p>\n

\u201cWhile polysomnography remains the gold standard of sleep assessment, wearable technology offers promise for measuring sleep continuously, less intrusively, and more naturally, making it a more scalable solution for sleep measurement,\u201d said Dr. Rebecca Robbins<\/a>, lead author of the study at Brigham and Women\u2019s Hospital, assistant professor of medicine, and medical advisor for \u014cURA. \u201cFor those looking to use consumer sleep trackers to identify patterns and address sleep issues, reliability and accuracy are paramount when navigating the variety of offerings available.\u201d\u00a0\u00a0<\/span><\/p>\n

By leveraging advanced machine learning techniques and one of the largest wearable sleep datasets collected to date, \u014cURA research scientists developed a <\/span>new sleep staging algorithm<\/span><\/a> that was found to achieve 79 percent agreement with polysomnography in four-stage sleep classification. <\/span>Research<\/span><\/a> shows that polysomnography, which relies on human coders to score the night of sleep after data collection, achieves 83 percent sleep stage agreement, meaning that two technicians scoring the same night on separate occasions may only agree for about 83 percent of the night.<\/span><\/p>\n

\u201cScientific validation and accuracy are at the core of everything we do at \u014cURA, and the results of this new study are a testament to our team\u2019s dedication over the last decade to advancing our tracking capabilities,\u201d said Shyamal Patel, senior vice president of science at \u014cURA. \u201cThe investments we have made in developing our sleep-staging algorithm allow us to provide an accessible and accurate way for our community, including consumers, clinicians, and researchers, to better understand sleep.\u201d\u00a0\u00a0<\/span><\/p>\n

To evaluate the accuracy of the three devices, 35 participants were recruited for a single-night in-patient study. During the study, they were monitored with polysomnography while also wearing an Oura Ring, Apple Watch, and Fitbit Sense.\u00a0<\/span><\/p>\n

Key findings include:<\/b><\/h3>\n