New Study Shows Potential of Sleep Number 360 Smart Bed as a Trusted Device for Capturing Reliable Sleep Data from Home - Seite 3

“We’re excited by the potential of this research and our technology to develop new products, services and impactful partnerships,” said Faisal Mushtaq, Chief Technology Officer, Sleep Number. “We know the 360 smart bed delivers highly accurate monitoring and personalized insights, and we are confident the proven accuracy of SleepIQ technology is a stepping stone for greater health implications. Smart beds may eventually be able to identify health risks and may soon enable proactive health care – all from home.”

“We know sleepers have long questioned the reliability of the heath data they receive from their devices,” said Raj Mills, VP of SleepIQ Health and Research, Sleep Number. “Now, knowing the technology embedded in our smart beds is peer reviewed and validated, they can feel more confident than ever in taking more ownership of their health. Our science-backed innovations provide a more holistic picture of an individual’s sleep health over time, including actionable and personalized sleep health recommendations to improve their wellbeing. Today, sleepers can trust our smart beds as a long-term, sleep health monitoring device and share their data with their physician to identify trends or even potential risks.”

Results of the study showed measurements of both epoch-by-epoch and mean heart and breathing rates were strongly correlated between SleepIQ technology and PSG. In addition, SleepIQ technology was able to differentiate sleep and wake states with reasonable accuracy and precision, with a higher sensitivity in detecting sleep and a lower specificity in detecting wake states. For all-night sleep metrics, SleepIQ technology showed reasonable accuracy in measuring sleep onset latency, wake after sleep onset, sleep efficiency and total sleep time. Importantly, the accuracy of these measurements was impacted by the amount of time participants were awake in bed, with results showing greater accuracy for participants who spent less time awake. Future studies are needed to better characterize the accuracy of the smart bed, with particular regard to longitudinal repeatability and reliability, using data collected over multiple nights for each participant. Further validation is also required to assess the smart bed as a potential screening tool for sleep disorders.