At Fullpower Labs, we were thinking about last week’s Seattle earthquake and doing some geographical distribution analysis. That earthquake hit right in the middle of our night. So many of those Sleeptracker users around Seattle got affected. Here is a graphical representation using the Sleeptracker AI-powered predictive analytics of how that sleep disruption developed.
Yes, less sunlight means more sleep!
At Fullpower Labs, we looked at the data. The Fullpower dataset includes 250 million nights of sleep. Sleep information from the Sleeeptracker Monitor is unique because it is fully contactless and non-invasive, yet still accurate to within 90%+ gold standard polysomnography. Data shows that continuous heartrate averaged throughout the night is minimized with 7.5 hours of sleep. From there, we find that on average, the answer to our question is 10.8% of deep sleep and 25.3% of REM sleep.
How much should we sleep, and what does the balance between REM and deep sleep look like in those conditions?
The data shows that all latitudes the longer the night the more we sleep. That’s true although in general, we follow similar work schedules and social patterns at all latitudes in the continental US. Big Data, accurately curated and managed over long periods of time with powerful AI-powered analytical tools delivers powerful insights: Seasonality at different latitudes sill impacts our increasingly urban lifestyles.
This week at Fullpower Labs, we continue to drill down our accurate multi-year data set that comprises 250+ million nights of sleep. We now discovered previously un-identified seasonal patterns correlating continuous Breathe and heart rate over a couple of years. The Fullpower Sleeptracker platform captures continuous breath and heart rate throughout the night.
Seasonal changes occur with higher breath rates in the summer and lower in the winter. This is similar to what was observed in this independent study in Japan.
Our AI-powered analytics discovered this new correlation, and found the "inverse" breath correlations which seem to be published in this post for the first time ever as we couldn't find this science published anywhere! Fascinating power of our long term PSG-grade datasets and tools!
This week at Fullpower Labs, we continue to drill down our accurate multi-year data set that comprises 250+ million nights of sleep. We found some new interesting weekly patterns within the previously identified seasonal patterns. This infographic shows weekly zoomed-in in heart rate. The Fullpower Sleeptracker platform captures continuous heart rate throughout the night.
Seasonal changes occur with lower heart rates in the summer and higher in the winter. This same pattern was also observed in this independent study in Japan. Our AI-powered analytics discovered this independently, and then we found the very interesting Japan paper https://lnkd.in/gNpi7ub.
Notice week after week, there is a consistent weekly cycle with lower heart rates early in the week leading to higher heart rates on the weekends and then recovery. Interesting.
At Fullpower Labs, we analyzed our accurate multi-year data-set that comprises 250+ million nights of sleep. We found some interesting seasonal patterns. This infographic shows seasonal changes in heart rate. The Fullpower Sleeptracker platform captures continuous heart rate throughout the night completely non-invasively. Each individual fluctuation in the graph is a weekly max and min, the max being in general weekends (bedtime and wake-time discipline are more lax on weekends) and weekdays with a more disciplined schedule and less “distractions”.
This is what we can observe: