Non-Invasive Contactless Bio-Sensing

COVID-19 Shelter-in-Place has changed the way we sleep

Percentage of Sleepers Staying at Home Before, During, and After Lockdown by State

COVID-19 Pattern study: After reading this piece from National Geographic:

We looked at the data to see whether for some key typical states there was a measurable difference in people traveling away from their homes. The data shows that there is a significant difference between states such as California, New York, and states like Florida and Texas.

COVID-19 Shelter-in-Place: Impact on snoring

With the power of several million nights of PSG-grade sleep information anonymized in the cloud (over 100 million nights of sleep) and the built-in Sleeptracker®-AI analytics, we looked at the impact of COVID-19 on snoring. Snoring is a very important metric as it is typically a precursor of serious conditions such as apnea or COPD. The Data shows that during shelter-in-place, on average, we sleep more, but, and that is very intriguing, we snore less. When we drilled down into how different this is for females and males we were very surprised to see the differences As we gradually reopen, the patterns seem to trend to normalize. The spikes are weekends when, on average, we tend to go to bed later and rise later. The Fullpower contact-less bio-sensing solution, like PSG, can actually correlate metrics such as AHI (Apnea-Hypopnea Index), which opens fascinating research opportunities given our very large multi-year PSG-grade sleep dataset.

COVID-19: We compared 2020 sleep patterns to historic 2019 sleep patterns

With the power of several years of PSG-grade sleep information anonymized in the cloud (over 100 million nights of sleep) and the built-in Sleeptracker®-AI analytics, we compared 2020 sleep patterns to historic 2019 sleep patterns. The Data shows that during shelter-in-place, on average, we sleep more, go to bed later, and wake up later compared to the same period of time in 2019. As we gradually reopen, the patterns seem to trend to normalize. The spikes are weekends when, on average, we tend to go to bed later and rise later.

COVID-19: Percent of Users Sleeping at Home Before, During Shelter-in-Place, and Gradual Reopening

As the US economy reopens, we looked at the anonymized data to find some indicators of behavioral changes. The metric that we used was to look at the sleeping habits before, during, and after shelter-in-place. During shelter-in-place most stayed put. When reopening happened patterns started to trend towards normalized. What is remarkable is the impact of Memorial day weekend. We will continue to monitor these trends.

COVID-19 Shelter-in-Place Shows No Significant Difference In How Often We Get Out of Bed Each Night

COVID-19: Previously we showed that with shelter-in-place on average we sleep longer, get more REM sleep, get less deep sleep and we snore less. We looked at the data to see whether shelter-in-place had changed the number of times we had gotten out of bed each night and/or how long we stayed out of bed. We looked at each age group. We went through more than half a million nights of sleep and could not measure a difference. It may be because of our out-of-bed events, as the data shows are more a function of aging and some chronic conditions such as diabetes and high blood pressure. Of course, we are continuing to look at the data as shelter-in-place gets eased and new normality develops. Sleep is one-third of our lives and a great indicator of our overall wellness and stress levels as well as some chronic health conditions. What we saw in the data is that as we age, males tend to have more disrupted sleep than females. However, younger females tend to have more disrupted sleep than males.

COVID-19 Shelter-in-Place: More Sleep, Less Snoring

Previously we reported that the data shows, before and after shelter-in-place, our sleep patterns changed. On average we sleep longer get more REM sleep but get less deep sleep. In this analysis, we look at the data and observe that since sheltering-in-place we snore less. That's true for females and males. Males tend to snore more than females as the analytics shows and Snore is a precursor to apnea and COPD.

The solution can pinpoint apnea, asthma, COPD. For this infographic, there are potentially several explanations for the decrease in snoring. Scientifically, we learned that snoring tends to happen more during deeper sleep phases. Therefore less deep sleep could correlate to less snoring although we sleep longer with shelter-in-place. Of course, all of this needs to be investigated farther. The data shows that on average for both females and males shelter-in-place has decreased snoring! This study is based on over 300,000+ nights of recorded and analyzed sleep by Sleeptracker®-AI. The peaks are the weekends and the troughs are the weekdays in both sleep and snoring.

COVID-19 Shelter-In-Place: More REM Sleep, Less Deep Sleep

Shelter-in-place is affecting our sleep patterns on average. More dreaming (REM Sleep) and less physical recovery (Deep Sleep), although we are sleeping more. The dataset is over 500,000 nights of sleep. That’s because the solution is AI-cloud based and uses powerful built-in mining tools. And why could all this be happening? One possibility may be increased stress and angst due to the seriousness of the pandemic as well as potentially less physical activity. More to come. Stay tuned.

We are sleeping more under COVID-19 shelter in place

A silver lining: Following the COVID-19 shelter-in-place directives we are getting more of much-needed sleep! This should help strengthen our immune system and improve our health! The data may also show that people's bedtime hasn't changed much, but with fewer constraints, schools closed and many workplaces closed, people, in general, have relaxed their wakeup time. We will look into this more. Stay tuned! More information at

The Sleeptracker vitals info can help in the shadow of Coronavirus's rising awareness

Coronavirus and such future events are important. Of course, the flu, colds, and recovery are part of our daily lives. Our Sleeptracker-AI tools looked at our sleep vitals in a multiyear aggregation. We used Sleeptracker labeled data and Fullpower's AI-powered supervised machine learning tools to help us interpolate, extrapolate and perhaps anticipate!

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