Over 200,000 New Daily Live Home Sleep Recordings With 5-Years Of History & 250+ Million Nights Of Sleep, Including Two Sleepers
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 and includes the impact of two sleepers with one another.
The Clinically Validated Platform
for Sleep Medicine and Clinical Trials
1,000,000+
Biosensing-Connected AI-Powered Smart Devices
80,000+
Biosensing-Connected AI-Powered FDA Cleared Devices
140+ Countries
Compliant, Vetted, and Deployed
70+
Research Studies
Stanford + UCSF
Partnership
AWS
Partnerships
135+
Patents
Accuracy driven by deep learning and clinical validation. Here's how it works:
The Sleeptracker-AI® platform leverages deep learning to analyze anonymous sleep and environmental data.
- The Sleeptracker-AI® system determines sleep stages, aids in identifying sleep disorders, and provides users and clinicians with science-based sleep recommendations.
- We include a clinician/research dashboard with triggers and event alerts for real-time notifications.
- Our accuracy closely matches gold-standard FDA-cleared PSG sleep analysis in real-world settings, as validated by Stanford Sleep Medicine. Our methodologies include deep, supervised, self-supervised, and reinforcement learning.
- We carefully consider ethical issues, bias, and privacy in our process. We operate multiple clinical PSG sleep labs to generate training data continually.
- We specialize in continuous care and clinical trials, and as noted, Stanford Sleep Medicine validates the accuracy of our system.
- We correlate sleep with environmental data automatically.
Sleeptracker-AI provides valuable insights and tools for clinical trials, scientific research, and benefits a wide range of healthcare practitioners.
Sleep medicine: Ideal for assisting in the management of a range of sleep disorders.
Primary care : Helpful for monitoring sleep-related issues in patients with chronic conditions.
Pulmonology: Useful for managing respiratory conditions and breathing-related sleep disorders.
Cardiology: Beneficial for tracking sleep disturbances correlated to cardiovascular health.
Neurology: Supports the assessment of neurological impacts of sleep disorders.
Psychiatry and psychology: Valuable for tracking the relationship between sleep and mental health conditions.
Endocrinology: Helps to monitor sleep's impact on metabolic disorders.
Sports medicine: Provides insights into athletes' sleep to optimize recovery and performance.
Geriatrics: Helps manage sleep issues in elderly patients, as sleep disorders can affect overall health and quality of life.
Behavioral sleep science: Supports cognitive-behavioral changes with continuous, detailed data.
Pediatrics: Assists in monitoring sleep in children and adolescents with developmental or sleep-related issues.
Obstetrics and gynecology: Potentially helpful in tracking sleep disturbances in pregnant patients or during menopause, where sleep can significantly impact overall health.
The Sleeptracker-AI platform developed by Fullpower-AI provides contactless remote in-home sleep monitoring for patients and real-time analytics with detailed dashboard tools for clinical trials and practitioners. It also provides a real-time API for cloud-to-cloud integration.
Stanford Sleep Medicine and UCSF have vetted the system, ensuring high accuracy comparable to gold-standard polysomnography. The Sleeptracker-AI platform enhances patient care by offering the following benefits:
Completely noninvasive and contactless
There is nothing to wear or charge. It is invisible under any mattress and integrates environmental sensing to monitor breathing air quality and correlate it to sleep.
Early detection of issues
Remote monitoring with Sleeptracker-AI allows practitioners to identify sleep patterns or breathing disturbances before symptoms worsen.
Continuous monitoring
Sleeptracker-AI provides real-time and long-term data, offering a more comprehensive understanding of the patient's condition than periodic in-person visits and a retrospective perspective.
Improved treatment adjustments
Practitioners can adjust treatment plans based on continuous data from Sleeptracker-AI, changing medications, devices, or therapies as needed, improving patient outcomes.
Convenience for patients
Sleeptracker-AI eliminates the need for frequent in-person visits, which can be time-consuming or difficult for patients with mobility issues or living in remote locations.
Enhanced patient compliance
Patients are more likely to comply with prescribed treatments and follow up on care when they know their condition is continuously monitored.
Data-driven insights
Sleeptracker-AI provides practitioners with objective data, reducing reliance on subjective patient reports and enabling more accurate diagnosis and treatment.
Timely intervention
Practitioners can intervene promptly if critical signs, such as severe sleep disturbance episodes, are detected.
Cost-effective
Sleeptracker-AI reduces healthcare costs by minimizing the need for overnight sleep studies or hospital stays for monitoring purposes.
Patient empowerment
Patients can actively participate in their care by viewing their data and understanding their condition, leading to better engagement and lifestyle changes.
Expert deployment: Anil Rama, MD, a board-certified sleep physician, is deploying this new service at "Sleep and Brain, Powered by Sleeptracker-AI," ensuring expert care and oversight.
Integrations
Including Apple Health, Apple Watch, Pixel Watches, Samsung Watches, and Android Health Connect.
Sleeptracker-AI: The Perfect Complement For Wearables
100% Contactless and Non-invasive
Contactless biosensing and non-invasive offers improved compliance, convenience, comfort, and user retention compared to wearables by eliminating the need for physical contact, charging, allowing monitoring of multiple sleepers without restrictions, and reducing issues related to device abandonment.
Automatic and Invisible: 100% compliance every night
Contactless Sleeptracker-AI eliminates the need for individuals to consistently wear or interact with devices, improving compliance rates and data collection consistency.
Always on, always connected, no need to recharge
Eliminates the need for users to wear, maintain, or charge devices, allowing for continuous monitoring without interruptions or user intervention.
Real-time with configurable notifications and event alerts of sleep disorders
Automatically continuously monitor sleep patterns without physical contact, allowing for immediate detection and customizable alerts for sleep disturbances without the discomfort or limitations of wearing a device.
Real-time API for cloud-integration integration with existing systems and wearables
Integrate directly with clinical trial platforms, research projects, patient monitoring in real-time.
Environmental sensing with sleep correlations
Simultaneously monitoring the bedroom environment while conducting sleep analysis allows researchers to directly correlate environmental factors such as temperature, humidity, noise, levels with sleep quality, duration, and disturbances, providing valuable insights into how specific environmental conditions impact sleep patterns and overall sleep health.
Monitors two sleepers simultaneously with potential interactions including sleep disorders such as snoring, apnea, and wake-ups
The data shows that two out of three beds have two sleepers. For the first time, two sleepers can be monitored and correlated to measure some of the effects of one sleeper on the other and build meaningful models.
Clinically Validated
The Sleeptracker-AI® platform is validated in clinical studies with Stanford University, Division of Sleep Medicine, and UCSF
Clinical Trials and Research
Sleep is one-third of patients' lives and an important component in clinical trials and research
Polysomnographic validation of the Sleeptracker-AI® solution in estimating sleep architecture and obstructive sleep apnea in adults
Polysomnographic validation of the Sleeptracker-AI® solution in estimating sleep architecture and obstructive sleep apnea in adults, in collaboration with Stanford Sleep Medicine, as presented by Dr. Clete Kushida at the 2022 Sleep World Congress in Rome (Italy).
Featured in Sleep Medicine
Volume 96, August 2022, Pages 20-27
Highlights
- An under-mattress sleep monitoring device (Sleeptracker-AI Monitor) was compared with polysomnography (PSG).
- Sleeptracker-AI Monitor estimated comparable sleep measures and had high agreement in sleep stage classification with PSG.
- Sleeptracker-AI Monitor had high accuracy in estimating obstructive sleep apnea.
Reference: Ding, F., Cotton-Clay, A., Fava, L., Easwar, V., Kinsolving, A., Kahn, P., Rama, A., & Kushida, C. (2022). Polysomnographic validation of an under-mattress monitoring device in estimating sleep architecture and obstructive sleep apnea in adults.Sleep medicine, 96, 20-27.
Stanford validated and Peer-Reviewed
Read the entire publication at Science Direct:
https://www.sciencedirect.com/science/article/pii/S1389945722001368
70+ Very Large Dataset Sleep Studies Powered by ML and AI Analytics
Real-Time Dashboard Tools
Remotely monitor in real-time patients or all trial subjects with event alerts and notifications. This includes remote real-time vital signs, respiratory events, and sleep patterns of patients.
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.
AI-powered, Highly Accurate
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.
135+ 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 in Real-Time
The data shows that two out of three beds have two sleepers. For the first time, two sleepers can be monitored and correlated to measure some of the effects of one sleeper on the other and build meaningful models.
Built-in Environmental Sensing with Sleep Quality Correlations
The data shows that the room environment, including air temperature, air quality, and humidity, correlates to sleep quality.
New: The Superbowl 2024 Effect!!
We're thrilled to share a groundbreaking discovery from our Fullpower-AI analytics! After analyzing over 2 million nights of sleep with our state-of-the-art generative AI tools, we've uncovered that Super Bowl 2024 set a new record for one of the most sleep-disruptive events in U.S. history!
Why, you may ask? Between the nail-biting overtime finish, widespread celebrations that lasted into the wee hours, and the undeniable "Taylor Swift effect," it's clear that this Super Bowl was more than just a game; it was a nationwide phenomenon that kept millions on the edge of their seats - and out of their beds!
This insight offers a fascinating glimpse into how major events can impact our sleep patterns on a grand scale. It's a testament to the power of our Fullpower-AI analytics to uncover sleep trends and behaviors that would otherwise go unnoticed.
We're proud to contribute to the understanding of sleep health and to provide valuable data that can help improve sleep quality across the globe. A huge thank you to everyone who's been a part of our journey so far. Let's continue to innovate and explore the fascinating world of sleep together!
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:
https://www.mayoclinic.org/diseases-conditions/sleep-apnea/diagnosis-treatment/drc-20377636
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.
News
Fullpower-AI® is the provider of a generative AI deep-learning biosensing platform. The Fullpower-AI® platform is a remote real-time biosensing edge-to-cloud solution vetted and successfully deployed in 140+ countries. Fullpower-AI® customers are in sleep, life sciences, health, wellness, and biotechnology. A portfolio of 135+ patents backs the platform. Fullpower-AI® is ISO 27001 certified.
Contact Information and Headquarters
Silicon Valley
Fullpower Technologies, Inc.1200 Pacific Avenue, Suite 300
Santa Cruz, CA 95060
USA
Fullpower-AI is the developer of the Sleeptracker-AI platform
Fullpower-AI® is the provider of a generative AI deep-learning biosensing platform. The Fullpower-AI® platform is a remote real-time biosensing edge-to-cloud solution vetted and successfully deployed in 140+ countries. Fullpower-AI® customers are in sleep, life sciences, health, wellness, and biotechnology. A portfolio of 135+ patents backs the platform. Fullpower-AI® is ISO 27001 certified.
Visit Fullpower-AI