Seasonality and daily analysis of continuous heart rate through the night

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.

Seasonal Correlation of Heart Rate Through the Night

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:

  • 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.
  • There’s a consistent weekly cycle throughout the year with lower heart rates during the week and higher on the weekends (affected by time to bed, diet, and alcohol).
  • We see a big spike for New Year’s eve (time to bed, diet and alcohol).
  • There’s a significant dip after New Year’s, perhaps due to New Year’s resolutions (better diet, decreased alcohol, more disciplined sleep schedule), but eventually, it fizzles.
  • We see another spike after the Super Bowl.

Long Before Selfies and Memes, People Wanted to Share Pics

There was a time not so long ago when people snapped photos and didn’t think about sharing them until much later. But these days, you might consider whether to share a pic before you’ve even taken it. Camera phones have made image transmission almost instantaneous, and it’s radically changed the way people take photographs—and perhaps even the way they live their lives.

“You are much more focused on the question of ‘OK, what do I share?'” says Clément Chéroux, curator of the new exhibit Snap+Share at the San Francisco Museum of Modern Art. “It’s not about what I’m going to take a photo of to keep as a souvenir. It’s really about what I’m going to share.”

The impulse to share images isn’t new, though. In the late 19th century, postcards detailing the sender’s location and status crisscrossed postal service routes. As photography became accessible, people subjected friends and family to slideshows; later, they hooked their digital cameras up to PCs and created new albums on Facebook. Still, the speed and scale at which we now express this impulse is unprecedented: 3.2 billion pics every day, each uploaded in a moment, many for a public audience. “It’s not only to one recipient,” Chéroux notes. “It’s to thousands.”

You can trace it all back to a photo of someone’s baby. In 1997, software developer Philippe Kahn became the first person to share a cell phone pic when he soldered cables between his Casio digital camera, Toshiba laptop, and Motorola phone to send his newborn daughter’s face to more than 2,000 people. Within three years, camera phones by Sharp, Samsung, and Sanyo were appearing on store shelves—culminating in the iPhone in 2007 and its game-changing apps the next year. Today the audience is never more than a share button away, and life all too easily devolves into a photographic performance fueled by hearts, likes, and comments.

Snap+Share is an ambitious attempt to grapple with these changes. Among the artists included in the show, Erik Kessels tries to visualize the photo glut in his work 24 HRS in Photos, which is exactly what it sounds like—staggering heaps of pictures representing a single day of all the world’s shares. David Horvitz highlights just how quickly even the most pointless of images spread in 241543903. It features memes—made in response to a call Horvitz put out through his Tumblr—of people sticking their heads into freezers, tagged with a number he made up by combining the serial number on his fridge and UPC numbers on some freezer food.

But it’s the taxidermy cat poking out of a hole in the museum’s ceiling—Eva and Franco Mattes’ Ceiling Cat—that looms the biggest. It’s based on a viral meme of a similar cat accompanied by the warning, “Ceiling Cat is watching you.” Chéroux says it’s a metaphor for surveillance: “If the cat is watching us, the internet is watching us.”

Just something to think about as you share your next pic.

Snap+Share runs March 30 through August 4 at the San Francisco Museum of Modern Art.

Read the original version of this article at Wired.com

https://www.wired.com/story/photography-sharing-gallery/

Our Sleep Durations Throughout the Week

This week at Fullpower Labs (www.fullpower.com), we’ve been thinking about how much we sleep and don’t sleep each day of the week on average; so we did some distribution analysis. Most of our Sleeptracker (www.sleeptracker.com) sleepers have regulated work schedules which bind them to a fixed weekday schedule. However, there are still several differences. And of course, many of us tend to replenish our “sleep budget” on weekends.

The following image displays the statistically meaningful weekday patterns that we represent using the Sleeptracker AI-powered predictive analytics system.

Geographical Distribution Analysis on Berkeley’s 2018 Earthquake

Here at Fullpower Labs, we are thinking about last year’s Berkeley earthquake and have been doing some geographical distribution analysis. That earthquake hit right in the middle of our night, 2:39 am to be precise. Many of Sleeptracker’s users (www.sleeptracker.com) in Northern California were affected.

Here’s a graphical representation using the Sleeptracker AI-powered predictive analytics to show how that developed.

Sleep Technology Grows at CES 2019 Where Sleeptracker Monitor is the Clear Leader

Click for PDF version


Fullpower keynote presentation at CES 2019

Sleep technology grew at the 2019 CES show and Fullpower’s Sleeptracker® technology platform is the clear leader. Completely non-invasive and non-intrusive, Sleeptracker monitor requires nothing to wear, nothing to charge, and it makes any bed a smart-bed with accurate monitoring to 90+ pct of PSG for two simultaneous sleepers. The Sleeptracker platform is cloud-based and AI-powered with a powerful bolt-on cloud-to-cloud API for rapid integration (learn more about our technology at Fullpower.com). Alexa users have additional features, for example, simply ask Alexa using the new skill: “Alexa, ask Sleeptracker how I slept last night?” With much more under development to be announced soon, the Sleeptracker® Monitor is leading the sleep AI machine learning industry.

Sleeptracker monitor Key Features

  • AI + Machine Learning
  • Detailed Sleep Analysis
  • Fits Seamlessly Under Mattress
  • Amazon Alexa Compatible

Magid: Devices Measure Quantity, Quality of Sleep

By Larry Magid, Mercury News

Apple’s Beddit comes in second to the Sleeptracker by Beautyrest, which has better features for couples.

One of the criticisms of the Apple Watch is that there is no native sleep monitoring, but that’s not keeping Apple from wanting to measure your sleep. Instead, the consumer electronics giant last year acquired Beddit, a sleep detection device that’s composed of a plastic strip that you put under your bottom sheet, to measure how you sleep. Apple just released the newest version of Beddit (3.5) with an accompanying iPhone app.

As is often the case with new Apple product categories, Apple is not the first to market a sleep detection device that connects to the bed. And, as is sometimes the case, the Apple product isn’t best of the breed. I installed the new Beddit device to compare with the Sleeptracker by Beautyrest monitor that I’ve been using for about a year and prefer the Sleeptracker.

Beddit is available at Apple stores or at Apple.com for $149.95. Beautyrest Sleeptracker lists for $199, but Amazon is currently selling it for $116.14 while Sears.com now has it for only $69.99.

The Apple and Beautyrest devices have a few things in common, but they differ in important ways. First, the Sleeptracker works with both Android and iPhone while Beddit only works with iPhone. Second, a single Sleeptracker product works with two sleepers so, if you share your bed, you and your partner can both get sleep data. You would have to buy and install two Beddit products to measure two sleepers. With Beddit, you need to have the phone in the room, while Sleeptracker connects to your home Wi-Fi network and can work independently of the phone, once it’s set up. During setup, the Sleeptracker app asks if a pet sleeps on your bed to make sure the pet doesn’t affect your readings.

Also, Sleeptracker uploads your data to powerful cloud-based servers, according to Philippe Kahn, CEO of Fullpower, the Santa Cruz company that developed the product for Beautyrest. Kahn said that the data is anonymously compared with data from thousands of other users to give people a basis of comparison. He said that the company adheres to strict European privacy guidelines in all markets, including the U.S.

Having more information about your health – including sleep data – is a good thing

Another big difference is that the Sleeptracker sensors go under the mattress instead of on top of it. I could actually feel the Beddit strip as I was lying in bed. The Sleeptracker sensors are undetectable, except maybe to the protagonist of Hans Christian Anderson’s “The Princess and the Pea.”

Larry Magid is a tech journalist and internet safety activist. To read the complete story, please visit the original article in the Mercury News.

Platform big data analytics confirms DST sleep disruption

For three consecutive years, data has shown that when the US “falls back,” we are likely to see disrupted sleep for two weeks in the Spring. The disruption is a little less in the fall.

The Sleeptracker platform will be analyzing and “machine learning” anonymized big sleep data over the next few weeks with tens of thousands of sleepers every night.

Let the data speak!

Fullpower AI-pods help the conservation of endangered cheetahs

This endangered cheetah is wearing a Fullpower AI-pod for research purposes. The pod and its associated infrastructure are an AI-powered sensor-fusion edge cloud solution that learns about the Cheetah’s behavior. The AI-pod is small, waterproof, and rugged. We are in the process of learning a lot about cheetah behavior. For example: “When do Cheetahs really sleep?” or “When to Cheetahs really hunt?” This picture was taken at the Cheetah Conservation Fund based out of Namibia.

Teknikker for bedre søvn basert på 500 millioner netter med data – oppfinner Philippe Kahn

Philippe Kahn joins the Mentaltrener podcast hosted by Frank Nilsen. Frank is “the Norwegian Joe Rogan” and the podcast is in English and was lots of fun. The Mentaltrener podcast features interviews with inspiring and successful people from all over the world about their mindset strategies for overcoming fear and various challenges on their journey to success. Visit the link below to listen:

http://www.mtfranknilsen.com/podcast-hidden/2018/9/9/kameratelefon-oppfinner-philippe-kahn-om-fremtiden

 

 

Sleepless in Switzerland

Unlocking the secrets to a better night’s sleep

Asleep. We spend about a third of our lives in a state of slumber. Increasingly documented as a key component of human well-being, sleep enables us to recover and regenerate physically and mentally. Getting too little of it or having poor night’s sleep creates an imbalance that has knock-on effects on cognitive ability, mood, and general performance. For example, the coaches and medical staff at Hintsa Performance emphasize sleep as one of the 6 key components of success for high-level athletes and business people, in what is described as the Circle of Better Life. In The Sleep Revolution, Arianna Huffington claims, “We are in the midst of a sleep deprivation crisis,” and details the consequences society will face socially and economically if we do not adequately address our sleep habits.

Yet, for all the various tips and tricks proposed to improve sleep it remains a largely obscure state that many of us rarely reflect upon – unless you have a bad night’s sleep. Some of us are more aware of the importance of sleep. Severe sleep disorders afflict as much as 16.6% of the population worldwide, if not more, according to a 2012 Warwick University study. There are a number of challenges in researching sleep disorders; however, new technologies are paving the way for improved means of gaining valuable insights into sleep.

Three innovative areas that ETH Zurich currently investigates could hold the answers to optimizing sleep.

Tracking Brain Activity

The SleepLoop project is developing a device in the form of a headband that measures and analyzes brain waves, subsequently playing a matching sound to stimulate deeper sleep. One of the major impediments to traditional sleep studies is the bulky equipment required to measure the subject, often requiring them to sleep in the lab. SleepLoop’s wearable technology optimizes data collection providing quality results that are faster, cheaper, and affords greater comfort to human subjects taking part in the study. This technology could potentially deliver a cure to sleep disorders without the need for drug therapies and may have applications in the prevention of certain brain diseases.

Don’t Hold Your Breath

Scientists in ETH Zurich’s Organic Chemistry Lab have increased 5-fold the sensitivity of their sleep measuring devices using secondary electrospray ionisation (SESI). “This sensitivity is sufficient for our SESI devices to be used for breath analysis in medicine,” says Professor Pablo Sinues. One of the applications Sinues and his team are investigating is the analysis of exhaled breath in order to diagnose sleep apnea. Their future projects include looking at how to simplify instruments to deploy in clinics and doctors’ offices.

Rock-a-bye Baby

Originally created to study the optimal rocking movements for falling asleep, researchers have reengineered the Somnomat bed to study snoring. In both cases, the Sensory-Motor Systems Lab envisions an autonomous robotic platform capable of monitoring, detecting, and self-adjusting as the user sleeps. By customizing the bed to an individual’s preferred conditions, the bed will be able to guarantee a good night’s sleep.

Numbers Don’t Lie

Complimentary to all of these research areas is the work led by ETH Zurich alumnus Philippe Kahn at the California-based company Fullpower Technologies. Drawing on their knowledge of big data, machine learning, and AI, they have developed the Sleeptracker® platform to analyze over 250 million of nights of sleep from millions of individuals worldwide. Their results notably show that there is a genetic predisposition to being a morning or an evening person. According to Kahn, “The challenge is that our modern society tends to force everyone to a schedule inherited from the early days of the industrial revolution. This in turn means that there is about 25% of the population that may not perform optimally on a recommended modern schedule.”

It turns out that in addition to the science of sleep providing solutions to sleepless nights, we may also need to adapt some of our societal parameters to offer more flexibility to account for different sleeping habits and preferences.

Visit Thrive Global to read the original article.