ECG data from healthy sleepers and people with sleep apnea were used to train and validate the algorithm. In this study, Sleep Number developed a small deep neural network (DNN) algorithm to detect sleep stages using IBIs measured through ECG. However, these traditional algorithms can range in accuracy and typically include numerous parameters or utilize entire sleep sessions for classification, making them not suitable for real-time interventions. IBIs can change rapidly during sleep, enabling the measurement of sleep stages in real-time through algorithms that utilize cardiac metrics. In normal heart function, each value between two heart beats, known as heart interbeat intervals (IBIs) varies from beat to beat. The results indicate that, in the future, the 360 smart bed may be able to detect the risk of sleep apnea.
In this study, which was accepted for publication in the journal Physiological Measurement, Sleep Number demonstrated that nightly sleep stages could be accurately predicted using data from cardiac signals as compared to traditional brain wave signals. Real-time implementation of sleep staging using interbeat intervals This reflects Sleep Number’s commitment to improve society through higher quality sleep." We are proud to advance the development of meaningful sleep health innovations and provide actionable, evidence-based solutions to achieving quality sleep to a global audience. Our 360 smart bed offers those capabilities. They seek the ability to understand native, undisturbed, real-world sleep behaviors and their ensuing health implications to translate scientific understanding into improved sleep quality. "In collaborating with leading physicians, researchers and institutions, we know they need a trusted device that’s accurate and offers longitudinal data collection. "As evidenced by our new data presented at World Sleep 2022 and our first study accepted for publication, Sleep Number is redefining the standards for monitoring sleep for research and health through the 360 smart bed," said Annie Bloomquist, Chief Innovation Officer, Sleep Number. Sleep Number will also host a symposium with world-leading sleep experts to evaluate how factors like temperature, light, noise and sleeping position can be optimized to improve sleep quality. These studies further demonstrate the potential research capabilities of the 360 smart bed to accurately assess and monitor sleep in a non-invasive, longitudinal way, while also delivering effortless, proven quality sleep. Additionally, Sleep Number will present results of a prediction model for influenza-like illnesses and a study to potentially detect sleep disorders like insomnia. Sleep Number will present results of its first study accepted for publication, which will appear in the journal Physiological Measurement, showing the potential of an algorithm to detect sleep stages in real-time using cardiac data gathered from its 360 smart bed. ROME, March 09, 2022-( BUSINESS WIRE)- Sleep Number Corporation (Nasdaq: SNBR), the sleep health, science, research and innovation leader, will announce new studies using its 360 ® smart bed at World Sleep 2022, the 16 th international meeting of the World Sleep Society in Rome from March 11-16. Sleep Number to host symposium on the optimization of sleep environments for improved sleep quality, led by world leaders in sleep research Results from Sleep Number’s first study accepted for publication demonstrate potential for the 360 smart bed to detect sleep stages in real-time, which could help guide intervention for certain sleep disorders in the futureĪdditional studies demonstrate the research capabilities of the 360 smart bed to predict and detect symptoms of influenza-like illnesses and to study sleep disorders, such as insomnia
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