• Real-world data from Sleep Number® smart sleepers shows a potential model for predicting and tracking COVID-19 infection using sleep and biometric metrics.
• Analysis of 18.2 million 360 smart bed sleep sessions reveals that heart rate variability differs by age, gender, and day of the week.

MINNEAPOLIS, MN – June 9, 2021 – Today, Sleep Number Corporation (Nasdaq: SNBR), a leader in sleep health, innovation, science and research, presented the poster data from two new studies using its 360® smart bed at SLEEP 2021, the 35th Annual Meeting of the Associated Professional Sleep Societies, LLC June 10-13. The data presented at the meeting show the results of a predictive model of COVID-19 infection based on sleep measurements and the results of a large study analyzing overnight heart rate variability (HRV), providing further evidence of the benefits of the 360 ​​smart bed and SleepIQ® technology as potential devices to assess the health of the population. The award-winning 360 smart bed and its operating system, SleepIQ technology, provide individualized sleep health assessments and results by automatically sensing and effortlessly meeting sleepers’ needs, requiring nothing for the sleeper to wear or to do. The 360 ​​smart bed adjusts effortlessly throughout the night, digitally sensing each sleeper’s movement and automatically adjusting firmness to keep both sleepers comfortable. SleepIQ technology is built into every 360 smart bed.

“The results of these two new studies, presented at SLEEP 2021, add to the growing body of scientific research for our Sleep Number 360 smart bed,” said Annie Bloomquist, Chief Innovation Officer, Sleep Number. “The 360 ​​Smart Bed is an innovative device that delivers proven quality sleep, an accurate longitudinal data collection platform, and the ability to understand real-world sleep behaviors. This data and information informs the development of meaningful sleep solutions. “

Longitudinal, Discrete and Ecologically Valid Sleep Metric Estimation from a Smart Bed to Predict COVID-19 Pathology (Congress Abstract ID: 651) Viral respiratory illnesses such as COVID-19 may impact duration , the quality and cardiorespiratory function of sleep. An analysis of real-world data collected from 360 positive (n = 122) and negative (n = 1,603) COVID-19 smart sleepers was conducted to build a predictive COVID-19 model based on discrete sleep measurements . The duration of sleep, quality of sleep, duration of restful sleep, time to fall asleep, respiratory rate, heart rate and level of movement obtained from the ballistocardiography data from January 2019 to October 2020 were measured. in the analysis.

In the COVID-19 positive group, worsening symptoms were associated with increased sleep duration, average respiratory rate, average heart rate, and decreased sleep quality. For people in the COVID-19 negative group, no significant disruption of sleep and cardiorespiratory parameters was observed. Evaluation of the predictive model resulted in a cross-validation area under the operator-receptor curve (AUC) estimate of 0.84 ± 0.09, similar to values ​​reported in portable sensors. The closer an AUC value gets to 1.0, the more accurate the model becomes. When the data set was expanded beyond the initial self-reported symptom onset dates in the COVID-19 positive group, the AUC estimate improved to 0.93 ± 0.05.

To our knowledge, this is the first study to evaluate real-world longitudinal data collected discreetly and non-invasively during sleep, using a smart bed platform. Sleep measurements measured with the 360 ​​Smart Bed are a unique source of long-term health data with the demonstrated potential to predict and track the development of symptoms associated with COVID-19 and possibly other respiratory illnesses. Sleep Number is working to extend these abilities to detect symptoms of illnesses such as colds, flu, and SARS.

Nighttime Heart Rate Variability Depends on Age, Gender, and Day of the Week: Field Observation Using the 360 ​​Smart Bed Platform (Congress Abstract ID: 249) HRV , the variation in the time between heartbeats, is commonly used to assess the activity of the autonomic nervous system (ANS), which subconsciously regulates certain essential bodily functions including respiration, heart rate, blood pressure, and others. Changes in ANS function, reflected in HRV, can result from factors such as lifestyle, aging, cardiorespiratory disease, sleep status, and physiological stress. HRV is lower in stressful situations, whether emotional or physical, and is higher in states of relaxation. Although there is great interest in HRV research, few studies to date have established normative values ​​of HRV overnight for a large population.

An overnight standard deviation analysis in normal-to-normal heart rate (SDNN) intervals of 18.2 million sleep sessions of 379,225 Sleep Number 360® intelligent sleepers was conducted to better understand changes in HRV at the level Population. Higher SDNN numbers generally correlate with better health and heart stress response, and lower SDNN numbers are an indicator of unhealthy heart activity. Analysis results revealed significant cross-sectional associations between nocturnal SDNN and age, gender, and day of the week. For sleepers under 50, SDNN decreased at a rate of about 2.1 milliseconds / year, then stabilized for sleepers 50 to 65, and increased slightly thereafter. Women under 50 had lower and slower decreasing SDNN values ​​than men, but this trend reversed for sleepers over 50. Additionally, SDNN values ​​were typically highest on weekends and lowest midweek. SDNN values ​​for women followed a U-shaped pattern, starting high early in the week, dipping mid-week, then increasing throughout the weekend, while values ​​for men followed a fit pattern. de L, starting high early in the week, but quickly dropped and stayed low throughout the week.

These results show that measuring SDNN data overnight using the 360 ​​smart bed can be a useful and environmentally sound device to assess population health patterns dependent on heart rate variability.

To view our posters and learn more about our innovations in sleep health, science and research, visit: http: // www.sleep number.com /Science.

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About the number of sleep

Individuality is the foundation of Sleep Number. Our goal-driven company is made up of more than 5,000 passionate team members dedicated to our mission of improving lives by individualizing sleep experiences. We have improved over 13 million lives and are making a positive impact on the well-being of society through better quality sleep.

Our award-winning 360® smart beds are informed by science. They learn from over a billion sleep sessions of highly accurate real-world sleep data – the cumulative 10 billion hours – to automatically adapt to each sleeper and provide effortless comfort and quality sleep proven. Our 360 smart beds provide personalized sleep health reports and information, including a daily SleepIQ® score, and help advance meaningful sleep health solutions by applying sleep science and research.

For life-changing sleep, visit SleepNumber.com or one of our more than 600 Sleep Number® stores. More information is available in our newsroom and investor relations sites.

Forward-looking statements

Statements used in this press release regarding future plans, events or performance such as plans to expand our abilities to detect symptoms of diseases such as colds, flu and SARS and references to model development potential for predicting and tracking COVID-19 infection using sleep and biometric measurements are forward-looking statements subject to certain risks and uncertainties. Additional information regarding these and other risks and uncertainties is contained in documents filed by the Company with the Securities and Exchange Commission (SEC), including the Annual Report on Form 10-K and other periodic reports filed. with the SEC. The company has no obligation to publicly update or revise any forward-looking statements contained in this press release.

Media contact

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Nicolas Teixeira

Sleep number Public relations

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