Fullpower-AI® Vetted and Deployed IoT PaaS Solutions

IoT PaaS Solutions
Fullpower AI Cloud Based Features

Fullpower-AI® Global AIoT Infrastructure in 60+ Countries including China

AI IoT Vetted and Deployed Worldwide

1. United States, 2. People's Republic of China, 3. Korea, 4. Japan, 5. Mexico, 6. Taiwan, 7. Germany, 8. France, 9. Hong Kong, 10. Chile, 11. Canada, 12. Argentina, 13. Columbia, 14. Malaysia, 15. Austria, 16. Singapore, 17. Poland, 18. Australia, 19. England, 20. Czech Republic, 21. Spain, 22. Peru, 23. Switzerland, 24. Vietnam, 25. Israel, 26. Thailand, 27. Sweden, 28. Philippines, 29. South Africa, 30. Guam, 31. Hungary, 32. Italy, 33. Norway, 34. Belgium, 35. Indonesia, 36. New Zealand, 37. Macau, 38. Jamaica, 39. Netherlands, 40. Finland, 41. Romania, 42. Slovakia, 43. Portugal, 44. Denmark, 45. Ireland, 46. Luxembourg, 47. Dubai, 48. Brazil, 49. Dominican Republic, 50. Tahiti, 51. Iceland, 52. Greece, 53. Mauritius, 54. Turkey, 55. Yugoslavia, 56. Bulgaria, 57. Costa Rica, 58. Virgin Islands, 59. India, 60. Panama, 61. Slovenia, 62. Paraguay, 63. El Salvador, 64. Aruba,

  • United States
  • People's Republic of China
  • Korea
  • Japan
  • Mexico
  • Taiwan
  • Germany
  • France
  • Hong Kong
  • Chile
  • Canada
  • Argentina
  • Columbia
  • Malaysia
  • Austria
  • Singapore
  • Poland
  • Australia
  • England
  • Czech Republic
  • Spain
  • Peru
  • Switzerland
  • Vietnam
  • Israel
  • Thailand
  • Sweden
  • Philippines
  • South Africa
  • Guam
  • Hungary
  • Italy
  • Norway
  • Belgium
  • Indonesia
  • New Zealand
  • Macau
  • Jamaica
  • Netherlands
  • Finland
  • Romania
  • Slovakia
  • Portugal
  • Denmark
  • Ireland
  • Luxembourg
  • Dubai
  • Brazil
  • Dominican Republic
  • Tahiti
  • Iceland
  • Greece
  • Mauritius
  • Turkey
  • Yugoslavia
  • Bulgaria
  • Costa Rica
  • Virgin Islands
  • India
  • Panama
  • Slovenia
  • Paraguay
  • El Salvador
  • Aruba

Latest News

Fullpower, Invention in Motion

Fullpower-AI® is the leader in AI-modeled biosensing algorithms, embedded AI Machine Learning solutions, and a leader for domain-specific generative AI.

For our partners, Fullpower-AI® delivers a complete IoT PaaS platform vetted and deployed worldwide for machine learning, remote contactless biosensing, generative AI, and end-to-end smart connected devices in life sciences, health, and biotechnology. In addition, Fullpower-AI®'s platform is backed by 135+ patents and is SOC 2 Type II certified.

Business Development


Fullpower-AI® is the leader in AI-modeled biosensing algorithms, embedded AI Machine Learning solutions, and a leader for domain-specific generative AI.

For our partners, Fullpower-AI® delivers a complete IoT PaaS platform vetted and deployed worldwide for machine learning, remote contactless biosensing, generative AI, and end-to-end smart connected devices in life sciences, health, and biotechnology. In addition, Fullpower-AI®'s platform is backed by 135+ patents and is SOC 2 Type II certified.

Successful B2B examples of Fullpower-AI®
edge/cloud technology platform deployments


Tempur-Pedic, the global leader for bedding, is a licensee of Fullpower-AI®’s Sleeptracker-AI® non-invasive contactless biosensing solutions. More details at Sleeptracker.com


Powered by Fullpower-AI® AIoT PaaS, the AgeLOC LumiSPA iO is the winner of the 2023 Beauty Device Awards with hundreds of thousands of units distributed in over 60 countries, including China, Japan, Korea, the EU, and the Americas.


Samsung is an investor in Fullpower-AI®. In addition, Samsung and Fullpower collaborate for IoT solutions.


Nike and Fullpower-AI® have enjoyed a technology trusted partnership for a decade. Fullpower-AI® builds algorithms and sensing intelligence optimized with machine and deep learning for Nike. "We took great care in evaluating sensing technologies and found the Fullpower-AI® technology platform to be superior." - President of Digital Sport at Nike.


Intelligent technology that relieves pressure imbalances for any person in any sleeping position.

Fullpower-AI® IoT Partners

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Company and Leadership

Fullpower-AI® is the leader in AI-modeled biosensing algorithms, embedded AI Machine Learning solutions, and a leader for domain-specific generative AI.

For our partners, Fullpower-AI® delivers a complete IoT PaaS platform vetted and deployed worldwide for machine learning, remote contactless biosensing, generative AI, and end-to-end smart connected devices in life sciences, health, and biotechnology. In addition, Fullpower-AI®'s platform is backed by 135+ patents and is SOC 2 Type II certified.

Fullpower-AI® Leadership

Arthur Kinsolving, Co-Founder and CTO

Arthur Kinsolving, Co-Founder and CTO

Arthur Kinsolving leads the technology and intellectual property development efforts at Fullpower-AI®. Arthur oversees all technology development, patent filings, and intellectual property protection efforts. During his tenure at Fullpower-AI®, Arthur has co-authored over 75 issued patents and filed dozens more. Arthur is passionate about AI, machine and deep learning. Arthur received his Bachelor of Science in Mechanical Engineering from Yale University.
Nathan Tiller, CFO and COO

Nathan Tiller, CFO and COO

Nathan is responsible for Fullpower-AI®'s finance and operations. Nathan has been with Fullpower-AI® since 2015 and has over 20 years of experience in finance and operations in various industries, including software and banking. Nathan was Director of Finance at Serena Software, an international enterprise software company in Silicon Valley. Prior to that, Nathan managed the corporate development function at World Savings. Nathan also served as Director of Finance for New Teacher Center, a national non-profit organization. Nathan studied economics, earning his Bachelor of Arts degree at Rice University, and his Master of Public Affairs degree at University of Minnesota.
Philippe Kahn, Founder and CEO

Philippe Kahn, Founder and CEO

Philippe is the inventor of 235+ issued patents, of which 125+ patents are assigned to Fullpower-AI® and the AI, ML, Sleep, and medical Fullpower-AI® Cloud platform: (for a list of Philippe’s patents, follow the link: philippe.com/download/philippe-kahn-patents-list, patents.google.com/?inventor=Philippe+Kahn).

Philippe studied at the ETH in Zurich Switzerland and Sofia-Antipolis, France, receiving his Master's Degree in Mathematics. Philippe also earned his Master's Degree in classical flute, with simultaneous minors in composition and chamber music from the Zurich Music Conservatory.

Philippe is credited for creating the first camera phone solution to share photos instantly over public cell phone networks. During his daughter's birth on June 11th, 1997, Philippe completed his first camera phone prototype by wiring a digital camera to a mobile phone and uploading an image to his home-based webserver to share the photo in real-time with several hundred contacts. His "Point, Shoot, Share, Instantly" architecture model for instant-sharing would eventually become the product that was licensed to wireless carriers by the company Philippe and Sonia founded, Lightsurf technologies, in addition to becoming a blueprint for today's social media. In 2016, Time Magazine included Philippe's first camera phone photo in their list of the 100 most influential photographs of all time.

Philippe has founded and led four successful technology companies: Fullpower® Technologies (contactless biosensing medical and wellness solutions); LightSurf (creator of the Camera-Phone); Starfish (Wireless OTA Synchronization); and Borland (Professional Development Tools for C, C++, Prolog, assembler, Pascal).

Philippe is fluent in English, French, Spanish, and German. He is passionate about AI, Machine Learning, as well as his family. Philippe is also a trustee of the Lee-Kahn Foundation.

Mark Christensen, VP of Engineering

Mark Christensen, VP of Engineering

Mark is the head of engineering at Fullpower-AI®. He has over 15 years of technology development experience. At Fullpower-AI®, Mark is passionate about AI, machine learning, deep learning and data sciences. Mark studied mechanical engineering at the University of Auckland in New Zealand.
Eric Smith, VP of Quality and Security

Eric Smith, VP of Quality and Security

Eric Smith is the head of accuracy and quality assurance at Fullpower-AI®, responsible for the QA and customer support teams. He has been with Fullpower since 2008 and has over 18 years of quality assurance experience. Prior to joining Fullpower-AI®, Eric was a QA Engineer with Seagate and Starfish and a Senior QA Engineer with LightSurf when it was acquired by VeriSign. Eric's team ensures Fullpower-AI® maintains the most accurate, repeatable and reliable end-to-end solutions on the market using sophisticated software tools for testing and tracking development. Eric also manages Fullpower-AI®'s 3D printing technology for wearable & IoT device prototype development and testing. Eric received his Bachelor of Science in Mechanical Engineering from the University of California, Santa Barbara.
Dr. Venkat Easwar, VP of AI and Data Science

Dr. Venkat Easwar, VP of AI and Data Science

Venkat leads the AI and Data Science team at Fullpower-AI®. He has been with Fullpower since 2007 and has over 25 years of product architecture and algorithm development experience.  He has extensive experience in both cloud and edge processing. Prior to Fullpower, Venkat worked at Verisign on Messaging and Voice Response Gateways; at Lightsurf Technologies, on Multimedia Messaging Systems and Media Transcoding; and at Texas Instruments on DSPs, Digital Video, and Imaging. Venkat received his Bachelor’s degree in Electrical Engineering (Electronics) from Indian Institute of Technology, Madras, and his Ph.D. in Electrical Engineering from the University of Southern California. His Ph.D. thesis was in the area of AI and Computer Vision.
Dr. Anil Rama, MD, Medical Advisory Board

Dr. Anil Rama, MD, Medical Advisory Board

Dr. Anil Rama, MD is the founder of Sleep and Brain and serves as Adjunct Assistant Clinical Professor at the Stanford Center for Sleep Sciences and Medicine. He is the recipient of the 2021 Stanford Distinguished Service Award, awarded to one clinical faculty member per year. He is the former Medical Director of Kaiser Permanente’s tertiary sleep medicine laboratory. Dr. Rama is also an editorial board member of the Sleep Science and Practice Journal and has authored several book chapters and seminal peer-reviewed journal articles in sleep medicine. Furthermore, Dr. Rama is a lecturer for the Dental Sleep Medicine Mini-Residency at the University of Pacific, Arthur A. Dugoni School of Dentistry. In addition, Dr. Rama has been an investigator in clinical trials for drugs or devices designed to improve sleep and contributed to stories in national newspapers, local news stations, wellness websites, and health newsletters.
David Shanes, VP of Regulatory Affairs

David Shanes, VP of Regulatory Affairs

David is responsible for managing the Regulatory and Compliance efforts for Fullpower-AI® and advancing its solutions into the healthcare and medical device spaces. David has more than 18 years of medical device experience overseeing Quality and Regulatory, Hardware and Software Engineering, Research and Development, and Manufacturing activities. Prior to joining Fullpower, David held various executive positions at TruMed Systems, Inc., Biocare Medical, LLC., and BioTelemetry, Inc. He holds a BS in Computer Science from the United States Naval Academy and an MS in Computer Science from San Diego State University. David also served in the U.S. Navy for 11 years.
Tom Lewin, VP of Customer Success

Tom Lewin, VP of Customer Success

Tom is the VP of Customer Success and has spent valuable time on the Fullpower-AI® R&D team, Quality Assurance, Customer Support, and Development teams. Tom is responsible for in-house demos, customer onboarding, assists in the sales process, and manages the Tempur-Pedic relationship. Tom is passionate about delivering a quality experience to end users and business partners and has worked diligently to achieve the ratings success you see with our apps and products. Tom has been with the company since 2008 after studying at Old Dominion University.

Fullpower-AI® Contact Information and Headquarters

Silicon Valley

Fullpower Technologies, Inc.
1200 Pacific Avenue, Suite 300
Santa Cruz, CA 95060

Globally Vetted and Deployed IoT Medical and Wellness PaaS
for Contactless Sleep and RPM

Fullpower-AI® Sleep Research & Technology Expertise

Over 50,000 New Daily Live Home Sleep Recordings With 5-Years Of History & 250+ Million Nights of Sleep
Recorded with high fidelity, analyzed, and processed by our sleep experts using AI and machine learning; our tools analyze differences and changes over time in detailed sleep patterns day-after-day.
Real-Time Dashboard Tools
Remotely monitor patients or all subjects of a trial with event alerts and notifications. This includes remote vital-signs, respiratory events, and sleep-patterns of patients.
AI-powered, Highly Accurate & Cloud-Based
Exceeds 90% accuracy of gold-standard Polysomnography in many key metrics. Large anonymized dataset of demographically diverse subjects ideal for use as a statistical reference to back trials and remote monitoring.
Complete Integrated Machine Learning Modeling Tools With a Complete Set of AI-Powered Analytical Tools
Supports supervised and unsupervised learning, deep-analysis, and infographics with statistical backing.
125+ Patents, 10+ Years Of Sleep-Science And AI Leadership
Spanning AI, Machine Learning, Biosensing, Health, Cognitive Behavioral Science, Sleep Science, and more.
Two Sleepers With Correlations
The data shows that two out of three beds have two sleepers. Two sleepers can be monitored and correlated to measure some of the effects of one sleeper on the other and build meaningful models.

Polysomnographic validation of the Sleeptracker-AI® solution
in estimating sleep architecture and obstructive sleep apnea in adults

Sleeptracker-AI WorldSleep 2022

Sleeptracker-AI® research is now validated by Stanford University, Division of Sleep Medicine.
Click Here for the PDF

A two-year+ study on the COVID-19 effect on Sleep

Sleeptracker-AI WorldSleep 2022 Wake Patterns

Sleeptracker-AI® research is now validated by Stanford University, Division of Sleep Medicine.
Click Here for the PDF

Irregular sleep-wake schedules and the impact on health

Sleeptracker-AI WorldSleep 2022

Sleeptracker-AI® research is now validated by Stanford University, Division of Sleep Medicine.
Click Here for the PDF

The importance of REM-rebound

Sleeptracker-AI WorldSleep 2022

Sleeptracker-AI® research is now validated by Stanford University, Division of Sleep Medicine.
Click Here for the PDF

How bed-partners impact each other's sleep quality

Sleeptracker-AI WorldSleep 2022

Sleeptracker-AI® research is now validated by Stanford University, Division of Sleep Medicine.
Click Here for the PDF

Evaluation of Sleep-Related Respiratory Events

Sleeptracker-AI WorldSleep 2022

Sleeptracker-AI® research is now validated by Stanford University, Division of Sleep Medicine.
Click Here for the PDF

Sleep Duration Effect on Heart and Respiratory Rate

Sleeptracker-AI Europe 2022 Sleep Duration Effect on Heart and Respiratory Rate

Sleeptracker-AI® research is now validated by Stanford University, Division of Sleep Medicine.
Click Here for the PDF

Fullpower-AI® is the leader in Person/Patient-Generated
Sleep Data with our Sleeptracker-AI® Platform (PGHD [1])

Sleep is one third of our lives; wearables are invasive. Yet, sleep is a crucial signpost for health and changes in health. All of an individual’s live sleep experience is outside of a sleep lab. However, clinicians and researchers fly blind to this aspect of an individual's sleep and changes over time. Sleeptracker-AI’s network of sleepers is highly motivated to participate in managing their health. We complement their active engagement with the passive deep analysis of their anonymized data with their consent.

A significant fraction of individuals over the age of 30 show breathing anomalies during sleep, with estimates ranging up to 50%, including some of the more severe varieties [2][3][4]. This ranges from habitual snoring to life-threatening COPD and sleep apnea (including Central and Obstructive). These conditions often correlate with diabetes, hypertension, stroke, and heart attack risks. The Sleeptracker-AI platform delivers the first in-home, non-invasive, automatic, long-term sleep analysis solution, together with all the necessary data science tools and analytical dashboards powered by AI.

  1. Patient Generated Health Data, HealthIT.gov https://www.healthit.gov/topic/scientific-initiatives/pcor/patient-generated-health-data-pghd
  2. Garvey JF, Pengo MF, Drakatos P, Kent BD. Epidemiological aspects of obstructive sleep apnea. J Thorac Dis. 2015;7(5): 920-929.
  3. Heinzer R, Vat S, Marques-Vidal P, et al. Prevalence of sleep-disordered breathing in the general population: the HypnoLaus study. Lancet Respir Med. 2015;3(4):310-318.
  4. Adeloye D, Chua S, et al. Global Health Epidemiology Reference Group (GHERG). Global and regional estimates of COPD prevalence: Systematic review and meta-analysis. J Glob Health. 2015 Dec;5(2):020415.

Fullpower-AI® Person/Patient Generated Sleep Data serve as Synthetic Control Arms,
saving time and money in clinical trials

Fullpower-AI® synthetic control arms use validated, real-world person/patient generated sleep data as comparators for clinical trials instead of collecting data from patients recruited for a trial who have been assigned to the control arm. This halves the number of participants needed for clinical trials, speeding up trials and decreasing their cost.[1]

  1. Synthetic Control Arms can save time and money in clinical trials, StatNews.com

Sample Analytics from the Sleeptracker-AI Live Dataset

New Large Study: Consistent Bedtimes Lead To Better Sleep

The Sleeptracker-AI team looked at irregular sleep patterns on 500,000 nights of sleep and consistent bedtimes, which led to better sleep quality.

This is important because a new study has found that not sticking to a regular bedtime and wake-up schedule — and getting different amounts of sleep each night — can put a person at higher risk for obesity, high cholesterol, hypertension, high blood sugar, and other metabolic disorders, in fact, for every hour of variability in time to bed and time asleep, a person may have up to a 27% greater chance of experiencing a metabolic abnormality.


Less Snoring and Breathing Anomalies = Better Sleep

Our sleep is disrupted when we snore or experience breathing anomalies like sleep apnea or asthma. Likewise, if we sleep with a partner, our partner's sleep is also disrupted. Therefore, looking for viable solutions to respond to snoring or address sleep apnea is important for our sleep and our partner's sleep.

In a large Sleeptracker-AI study of 600,000+ nights of sleep, sleep quality was inversely related to the severity of breathing anomalies during the night. Those with fewer breathing anomalies during the night spent more of the night in REM and Deep Sleep phases and less of the night awake than those experiencing more breathing anomalies.  

Mayo Clinic Sleep Apnea Diagnostics:

The Holidays: Expect More Snoring & Higher Heart Rates

The Holidays: Expect More Snoring & Higher Heart Rates!

In a www.sleeptracker-ai.com study of over 1.5 million nights of sleep through the '20/'21 Holiday season, we see the impact on our sleep patterns, including more snoring and higher heart rates. On average, we see the same trends developing for the '21/'22 Holiday season. 'Lifestyle' choices, such as food, alcohol consumption, and activity levels, are likely the primary reasons for these trends and may suggest simple, actionable insights for improving our overall health.

Here are a couple of telling studies: 

Holiday Season and Weekend Effects on Stroke Mortality: A Nationwide Cohort Study Controlling for Stroke Severity. Patients admitted during holiday seasons had higher mortality risks than those admitted on weekends and weekdays. Moreover, this holiday season effect persisted even after adjusting for stroke severity and other important confounders. These findings highlight the need for healthcare delivery systems with a consistent quality of round‐the‐clock care for patients admitted for stroke.

Effect of the Holiday Season on Weight Gain: A Narrative Review. The holiday season seems to increase body weight in adults, even in participants seeking to lose weight and in motivated self-monitoring people.

Lower the Bedroom Air Temperature for More REM

A new, very large study confirms that a cooler room yields more REM sleep!

A very large Fullpower-AI study of over 1,750,000 nights of sleep shows that the air temperature of our bedroom impacts our sleep. On nights when our bedroom air temperature is cooler than usual, we get more sleep, and a more significant percentage of that sleep is spent in REM Sleep. That's much better than the nights when our bedroom air temperature is warmer.

In short, on average, the data shows that decreasing our bedroom air temperature at night leads to better sleep.

Here are a few helpful links:

General sleep air temperature information:

"The best bedroom temperature for sleep is approximately 65 degrees Fahrenheit (18.3 degrees Celsius). This may vary by a few degrees from person to person, but most doctors recommend keeping the thermostat set between 60 to 67 degrees Fahrenheit (15.6 to 19.4 degrees Celsius) for the most comfortable sleep."

Climate change and sleep impact study (deviations from mean temperature are investigated)

"Our analysis of historical data demonstrates a robust link between atypical nightly temperatures and insufficient sleep that is largest during the summer and among lower-income individuals and the elderly. Moreover, across both our city-level and geographic grid cell–level forecasts, we predict that every location in the United States may experience an increased incidence of insufficient sleep due to nighttime warming induced by future climate change."

Another abstract that is interesting:

Associations of bedroom temperature and ventilation with sleep quality

"Sleep efficiency (ratio of time asleep to time in bed) and rapid eye movement (REM) sleep (%) were both negatively correlated with bedroom operative temperature; as bedroom operative temperature increases by 1 K, the estimate of sleep efficiency and REM sleep percentage decrease by 1.036% and 1.647%, respectively."

Some mornings we pop out of bed, and others we lie in bed - Why?

Some mornings we easily pop out of bed, and others, we lie in bed - Why?

A large Fullpower-AI study shows that our nightly heart rate deviations from typical correlate with how long we spend in bed after waking in the morning.  This analyses study is 370,000+ nights of sleep.

We know from our past research that several factors can influence a person's sleep (alcohol consumption, sickness, stress) and that these factors often manifest as a change in heart rate.  In this study, we consider continuous heart rate as a proxy for a good night's sleep.  The assumption is that if the sleeper's heart rate is elevated or reduced from typical, it might suggest some sleep disruption. 

The plots show a user's time in bed after waking (blue) and sleep quality index (red) on a given night vs. the number of standard deviations from the mean of a user's heart rate.

Time spent in bed before falling asleep

In a large Sleeptracker-AI study of over 350,000 nights of sleep, we find that demographics significantly impact the time it takes us to fall asleep. Obviously, the data shows that age groups and sexes matter; however, it is evident from the data, that our digital life significantly impacts our bedroom routines. For many of us, Netflix, gaming, and social media have become our nightly ceremonial.

Pandemic: our sleep routines are returning to normal after more than a year of significant change

Pandemic 2021: In a 2.5-year horizontal study of more than 25,000,000 nights of sleep, people's sleep routines seem to be returning to “normal” after a year of significant change. Presumably, this could be due to re-opening and people re-engaging in their pre-pandemic lives. Specifically, in general, people slept longer during the pandemic until about February 2021, at which point sleep routines have been gradually returning to normal.

Our snoring impacts our bed partner's sleep and if we both snore, we impact each other's sleep

This Fullpower-AI study based on 350,000+ nights of sleep clearly shows the disruptive impact that snoring has on bed partners. Research shows that disrupted sleep affects performance and relationships. Snoring, apnea, pre-diabetes, and diabetes are some of the leading physiological causes of recurring disruptions. For example, minimizing snoring or bathroom breaks during the night may help with more restful sleep. This study is possible because the Sleeptracker-AI.com platform supports two sleepers in real-time.

The relationship between Sleep quality and Diabetes

An in-depth look at snoring

The more we snore, the more likely we are to be developing serious breathing conditions

In this large Fullpower-AI study of 400,000+ nights of sleep, the data shows that heavy snoring and more serious conditions are correlated. Nearly everyone snores now and then, but for some people, it can be a chronic problem. Sometimes, it may also indicate a serious health condition. Also, snoring can be a nuisance to your partner.

Here are a couple of clinical studies for further reading:

Here is a study that links Apnea to more light sleep:

And a study showing that there is indeed a correlation between the intensity of snoring and OSA (obstructive sleep apnea):

In the COVID years, we ignore the clock and stick with the sun, ignoring for the first weekend Daylight Saving time

A Fullpower-AI study of 1+ million nights of sleep finds that during COVID years (2020 and 2021), we ignore the clock's time and stick with the sun at the spring daylight saving time change compared to non-COVID years (2018 and 2019). A possible explanation is we have fewer commitments and events in COVID years. Our bedtimes are often directly correlated to our wake times.

Breathing anomalies while we sleep, including apnea, are important indicators of potential serious wellness challenges

A large Fullpower-AI study of 300,000+ nights of sleep, leveraging the new polysomnography-grade Fullpower-AHI platform, confirms that breathing anomalies while we sleep become more prevalent as we age and BMI increases. Males are significantly more susceptible than females. Breathing anomalies while we sleep, including apnea, are important indicators of potential serious wellness challenges. Loud snoring can often be a precursor of sleep apnea.

Here are a few relevant studies:

1. How Obstructive Sleep Apnea Correlates to Age


2. Age-Group-Specific Associations between the Severity of Obstructive Sleep Apnea and Relevant Risk Factors in Male and Female Patients


3. Effects of Age on Sleep Apnea in Men


4. Obstructive sleep apnea is a common disorder in the population—a review on the epidemiology of sleep apnea


Snore and BMI are correlated

Correlation is not Causation: A new Fullpower-AI study of 850,000+ nights of sleep shows that there is a statistical relationship between minutes of nightly snoring and BMI. This does not mean causation. Snoring is a sleep disruptor. Studies have linked sleep disruption to wellness and weight management challenges.

Here is a Mayo Clinic article about snoring and Obstructive Sleep Apnea.

Weight, Height, BMI, and Snoring Are All Correlated

Snore less, lose weight? In a study of more than 850,000 nights of sleep, the data shows weight, height, BMI, and snoring are all correlated. Clinical studies have shown that better sleep helps with weight management. In particular, snoring less often means better sleep. Could less snoring translate into better weight management?

Here is a link to a medical study that shows how deprived sleep can lead to weight gain:


More information about snore, sleep apnea, COPD, and sleep optimization: https://fullpower-ai.com/

How much do we snore?

How much do we snore?

Snoring and Apnea update: In a study of over 850,000 nights of sleep, Sleeptracker-AI finds that snoring is prevalent. Addressing snoring is important for several reasons:

1. Snoring can affect our health: Snoring could lead to more serious conditions. Sometimes it can be a symptom of a condition where people experience brief pauses of breathing during sleep, causing a drop in oxygen levels. Here is a publication from Harvard Medical School that describes some of the potential effects of snoring on health:


2. Snoring can affect our relationships: A snoring partner can impact your health. Disrupted sleep is correlated to potentially serious health conditions

Sleep, Wellness During the Holidays: The Data shows that 2020/2021 is different than the two prior years

COVID SEASON: A Sleeptracker-AI study of over 10 million nights of accurately recorded and analyzed data shows that 2020/2021 is different from the two prior years:

  1. Our heart rate through the night is lower on average during this "COVID Holiday season" than the last two.
  2. On average, we slept longer during this "COVID holiday season" than the last two.
  3. As expected, we traveled less this year, especially during the Thanksgiving holiday.

This study supports some of the following recently published media articles:

@The Atlantic

@The Washington Post

Exercise Vigorously and Snore Less

Research shows that there are meaningful benefits for both sexes in practicing regularly vigorous exercise such as HIIT (high Intensity Interval training). In a very large study of over 100,000 nights of sleep, those who exercised vigorously snored significantly less on average. Typically, females snore less than males. Vigorous exercise benefits both. Snoring is often a precursor to more serious breathing anomalies.

How America Slept on Election Night

This infographic speaks for itself. When the clock rolls back for DST, we tend to sleep more. Therefore the effect on sleep on election night is even more pronounced than it appears. Democracy at work! This study is based on more than 20,000 sleepers daily.

Accurately Measuring REM is Important Because of a Phenomenon Known as REM Rebound

We live in a sleep-deprived society. Fortunately, we seem to be equipped with sophisticated mechanisms that may help us catch up on our REM sleep deficit. REM rebound is the lengthening and increasing frequency and depth of rapid eye movement (REM) sleep which occurs after periods of sleep deprivation. When people have been prevented from experiencing REM, they take less time than usual to attain the REM state. When people are unable to obtain an adequate amount of REM sleep, the pressure to obtain REM sleep builds up. This large study is based on the analysis of more than 4,000,000 nights of sleep.

Getting up multiple times during the night may have implications on the quality of our sleep, and our overall health

Research links serious health conditions such as diabetes, depression, hypertension, apnea, heart disease, stroke, and more to disrupted sleep. Getting up multiple times during the night may have implications on the quality of our sleep, and our overall health.

Respiratory Events: Female, Male, and Age are significant factors

This is important to everyone's health: Males are twice more likely than females to suffer from "respiratory events". These include Apnea, COPD, OSA, and more. As we age the following Sleeptracker-AI large study finds that we are all more impacted. However, females continue to do significantly better than males.

Males are twice as likely to develop moderate to severe respiratory events

Social Distancing: More Sleep, Slower Average Heart Rate!

Here are the first complete three years of large clinical-grade sleep studies covering over 10 million recorded nights of sleep in high-fidelity. Three years of sleep information gives us reasonable assurances that the "abnormal" sleep and physiological patterns in 2020 may be correlated to the novel-Coronavirus pandemic. Some key findings include an initial increase in sleep duration with shelter-in-place. That pattern then tapers off but continues as the economy re-opens. The small increase in continuous heart-rate throughout the night may point to the fact that although the pandemic creates a very stressful environment and therefore would tend to elevate heart-rates, longer sleep duration may more than compensate. The longer sleep duration is also correlated with flexible work schedules, school schedules, and more.

A three-year study of latitude geographical impact on sleep

We looked at three years of data and broke it down by latitude tranches. The data clearly shows seasonality as well as the influence of latitude on actual sleep duration. Now observing 2020 we can see the significant impact that the coronavirus pandemic and shelter-in-place are having on our sleep.

Studies show that both ambient temperature and circadian rhythms are important factors for sleep quality. Note that in the summer for any given time zone and longitude, daylight lasts later in the higher latitudes. For example, sunset, today in San Diego, is about 7:30 while in Seattle it's 8:30, Pacific. The 2018 and 2019 data shows what is "normal" on average. The 2020 dataset shows the Coronavirus-induced singularities.

3 Years of Complete Sleep History

Three years of complete sleep history allows us to compare 2020 sleep patterns to historic 2019 and 2018 sleep patterns. Three years of data now clearly confirm that in 2020 during shelter-in-place, on average, we sleep more, go to bed later, and wake up later. As we gradually reopen the patterns seem to trend to normalize.

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

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.

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.

We compared 2020 sleep patterns to historic 2019 sleep patterns

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

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

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.

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 www.fullpower.com 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.

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 www.fullpower.com 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 shelter-in-place

A silver lining: with 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 www.fullpower.com

Trends and vitals signs can help in new conditions and awareness

Trends and 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!

Effects of Super Bowl LIV on Sleep of Fans in Kansas and Missouri

The Data Shows BMI & Snore are Correlated

Do Moon Phases Affect Our Sleep Patterns

The youngest, and their parents, lose the most sleep during the holidays

How Thanksgiving affects our sleep and activity

The longer we are awake during the day, the higher our heart rate throughout the night

Daylight Saving Time (DST) creates a significant disruption in sleep schedules

REM Sleep by City: Size Matters!

Weekday Sleep Deficit by Age and Gender

How the Monroe Earthquake Impacted Sleep Patterns in the Seattle Area

Want more deep sleep? Live with a cat or dog!

Deep Sleep is when we recover and rebuild, strengthen our immune system. The data could show what many thought intuitively: Pets could be good for us! The data also shows that sharing the bed with pets, in general, may improve deep sleep significantly. This stands as a challenge to some of the opinion-based sleep coaching. The data is clear for our large group of single Sleeptracker users: live with your pets and you may benefit from a more deep sleep. Females benefit even more than males. The data show that is true for both dogs and cats!

Here is a possible evolutionary explanation, if there is one. Alone in paleo times, solitary, one had to be on guard for the cave bear or the saber tooth tiger. That meant light sleep while monitoring sound in the background. With a dog, for example, we naturally allow ourselves to sleep deeper by relaxing more, trusting our pet to be our eyes and ears. Hence a potential evolutionary explanation of more deep sleep with a furry companion.

Seasonality of sleep by latitude in the continental US


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