Real-world data from Sleep Number® smart bed
sleepers shows a potential model for predicting and tracking
COVID-19 infection using sleep and biometric measures.
Analysis of 18.2 million 360 smart bed sleep
sessions finds heart rate variability differs with age, gender and
day of the week.
Today, Sleep Number
Corporation (Nasdaq: SNBR), a leader in sleep health,
innovation, science and research, presented data as posters from
two new studies using its 360® smart bed at SLEEP 2021, the 35th
annual meeting of the Associated Professional Sleep Societies, LLC
from June 10 to 13. Data presented at the meeting show results of a
predictive model of COVID-19 infection based on sleep metrics and
results from a large study analyzing overnight heart rate
variability (HRV), providing further evidence for the benefits of
the 360 smart bed and SleepIQ® technology as potential devices for
evaluating population health. The award-winning 360 smart bed and
its operating system, SleepIQ technology, deliver individualized
sleep health evaluations and outcomes by automatically sensing and
effortlessly responding to the needs of sleepers, requiring nothing
for the sleeper to wear or do. The 360 smart bed effortlessly
adjusts throughout the night, digitally sensing each sleeper’s
movements and automatically adjusting the firmness to keep both
sleepers comfortable. SleepIQ technology is embedded in every 360
smart bed.
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Sleep Number data presented at SLEEP 2021
showed COVID-19 symptom worsening is associated with a significant
increase in sleep duration, respiration rate, heart rate, restful
time, and motion, and a decrease in sleep quality. This symptom
progression model was built to predict the probability of symptoms
onset and duration. Some probability peaks predate the COVID-19
pandemic, suggesting that our model system can detect respiratory
illnesses that are not caused by SARS-CoV-2, such as influenza.
(Graphic: Business Wire)
“The research findings from these two new studies, presented at
SLEEP 2021, add to the growing body of scientific research from our
Sleep Number 360 smart bed,” said Annie Bloomquist, Chief
Innovation Officer, Sleep Number. “The 360 smart bed is an
innovative device that offers proven quality sleep, an accurate,
longitudinal data collection platform and the ability to understand
real-world sleep behaviors. These data and insights are informing
the development of meaningful sleep solutions.”
Longitudinal, unobtrusive, and ecologically valid sleep
metric estimation from a smart bed to predict the pathology of
COVID-19 (Congress Abstract ID: 651)
Viral respiratory illnesses such as COVID-19 may impact sleep
duration, quality, and cardiorespiratory function. An analysis of
real-world data collected from COVID-19 positive (n=122) and
negative (n=1,603) 360 smart bed sleepers was conducted to build a
predictive COVID-19 model based on unobtrusive sleep metrics. Sleep
duration, sleep quality, restful sleep duration, time to fall
asleep, respiration rate, heart rate and motion level obtained from
ballistocardiography data from January 2019 to October 2020 were
measured in the analysis.
In the COVID-19 positive group, worsening of symptoms was
associated with an increase in sleep duration, average breathing
rate, average heart rate and a decrease in sleep quality. For those
in the COVID-19 negative group, no significant disruptions in sleep
and cardiorespiratory metrics were observed. The evaluation of the
predictive model resulted in cross-validated area under the
receiving-operator curve (AUC) estimate of 0.84±0.09, similar to
values reported in wearable sensors. The closer an AUC value comes
to 1.0, the more accurate the model becomes. When the data set was
expanded beyond the initial self-reported dates of symptom onset 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 unobtrusively and
non-invasively during sleep, using a smart bed platform. The sleep
metrics 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
likely other respiratory disease. Sleep Number is working on
expanding these capabilities to detect symptoms for illnesses such
as the common cold, Influenza and SARS.
Overnight heart rate variability depends on age, gender, and
day of the week: a field observation using the 360 smart bed
platform (Congress Abstract ID: 249)
HRV, the variation in time between heartbeats, is commonly used
to assess the activity of the autonomic nervous system (ANS), which
unconsciously regulates certain essential bodily functions
including breathing, heart rate, blood pressure and others. Changes
to ANS function, reflected in HRV, can result from factors
including lifestyle, aging, cardiorespiratory illnesses, sleep
state and physiological stress. HRV is lower under situations of
stress, either emotional or physical, and is higher in relaxed
states. While there is broad interest in researching HRV, few
studies to date have established normative overnight HRV values for
a large population.
An analysis of overnight standard deviations in normal-to-normal
(SDNN) heartbeat intervals from 18.2 million sleep sessions from
379,225 Sleep Number 360® smart bed sleepers was conducted to
better understand population-level HRV changes. Higher SDNN numbers
generally correlate with better health and cardiac response to
stress, and lower SDNN numbers are an indicator of unhealthy
cardiac activity. Results of the analysis found significant
cross-sectional associations between overnight SDNN and age, gender
and day of the week. For sleepers under 50 years old, SDNN declined
at a rate of about 2.1 milliseconds/year, then leveled off for
sleepers aged 50-65, and increased slightly thereafter. Women under
50 showed lower, more slowly declining SDNN values than men, but
this trend reversed for sleepers over 50. Additionally, SDNN values
were generally highest over the weekend and lowest at mid-week.
SDNN values for women followed a U-shaped pattern, starting high in
the beginning of the week, dipping mid-week, then increasing
through the weekend, whereas values for men followed an L-shaped
pattern, starting high in the beginning of the week, but quickly
fell and stayed low through the week.
These results show measuring overnight SDNN data using the 360
smart bed may be a useful, ecologically valid device for evaluating
population health models reliant on heart rate variability.
To view our posters and learn more about our innovations in
sleep health, science and research, visit:
www.sleepnumber.com/science.
About Sleep Number
Individuality is the foundation of Sleep Number. Our purpose
driven company is comprised of over 5,000 passionate team members
who are dedicated to our mission of improving lives by
individualizing sleep experiences. We have improved over 13 million
lives and are positively impacting society’s wellbeing through
higher quality sleep.
Our award-winning 360® smart beds are informed by science. They
learn from over one billion sleep sessions of highly-accurate, real
world sleep data – the cumulation of 10 billion hours’ worth - to
automatically adjust to each sleeper and provide effortless comfort
and proven quality sleep. Our 360 smart beds deliver individualized
sleep health reports and insights, including a daily SleepIQ®
score, and are helping to advance meaningful sleep health solutions
by applying sleep science and research.
For life-changing sleep, visit SleepNumber.com or one of our
approximately 600 Sleep Number® stores. More information is
available on our newsroom and investor relations sites.
Forward-looking Statements
Statements used in this news release relating to future plans,
events or performance such as plans to expand our capabilities to
detect symptoms for illnesses such as the common cold, Influenza
and SARS and references to developing a potential model for
predicting and tracking COVID-19 infection using sleep and
biometric measures are forward-looking statements subject to
certain risks and uncertainties. Additional information concerning
these and other risks and uncertainties is contained in the
company’s filings 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 of the forward-looking statements in
this news release.
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version on businesswire.com: https://www.businesswire.com/news/home/20210609005533/en/
Media Contact Julie Elepano Sleep Number Public Relations
Julie.Elepano@sleepnumber.com
Nichole Teixeira Sleep Number Public Relations
Nichole.Teixeira@sleepnumber.com
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