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
250+ Million
Nights of High-Fidelity Sleep
30+ Parameters Monitored
Including BR, AHI, HRV, AQ, etc.
Stanford + UCSF
Validation
150K+
New Nights of Sleep / Day
70+
Research Studies
10+
Publication
50+
Scientists & Technologists
Polysomnography
Labeling & Validation
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.
Sleep research, science, and medicine are our focus. We support three successful business models: CRO, B2B Licensing, and PaaS.
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.
Debunking the sleep myth during the holidays. Hint: disruption!
Most of the data about Holiday sleep disruptions is based on surveys, more perception than objective data. For the first time, an objective multi-year study of more than 1 million nights of sleep compares the two weeks containing Christmas and New Year's to the first two weeks of December. This Sleeptracker.ai study shows how the season impacts our sleep patterns, often leading to sleep loss and disrupted routines. Here's a comprehensive look at how the holidays affect our sleep and what we can do to maintain healthy sleep habits during this festive time.
Impact of Holidays on Sleep: On average, people spend 6.6% more time awake in the middle of the night over the December holidays than normal. This sleep disruption is even more pronounced on New Year's Eve, with individuals spending 8.2% more time awake in the middle of the night than normal. We also see the highest average heart rate of the year, a full 2.2 bpm higher than earlier in the month.
Reasons for Sleep Disruption: Several factors contribute to holiday-related sleep issues.
Altered Eating and Drinking Habits: There is a 19% increase in adults reporting alcohol usage during the holidays, which can lead to poor sleep quality.
Less Exercise: There is a 6% decrease in adults reporting exercising, including an 11% decrease in reports of intense exercise, losing the benefits of exercise on sleep
Busier Schedules: Holiday events, late-night gift wrapping, and travel can disrupt regular sleep routines
Changes in Environment: Sleeping in unfamiliar places like hotels or guest rooms can affect sleep quality.
Tips for Better Sleep During the Holidays:
- Maintain a Consistent Sleep Schedule. Try to go to bed and wake up at the same time each day, even during the holidays. This consistency helps regulate your body's internal clock.
- Create a Relaxing Sleep Environment.
- Keep your bedroom cool (between 60-68°F), dark, and quiet.
- Use your bedroom primarily for sleep to maintain a strong sleep association.
- Mind Your Diet
- Limit caffeine intake, especially in the evening.
- Avoid heavy meals close to bedtime.
- If you choose to drink alcohol, do so earlier in the day and stay hydrated.
- Prioritize Physical Activity.
- Get outside for fresh air and natural light daily.
- Practice relaxation techniques like deep breathing or journaling before bed. Use the 4-2-4-2 breathing rule: Inhale for 4 seconds, hold for 2, exhale for 4, hold for 2, or some other popular technique.
By implementing these strategies, you can ensure you get the rest you need during the holiday season. This will allow you to enjoy the festivities while maintaining your health and well-being.
Thanksgiving Sleep Myth Debunked: Turkey's Not the Culprit!
Our study of 1M+ sleep nights shows that Thanksgiving ranks with Super Bowl Sunday and New Year’s Eve for poor sleep quality. Despite popular belief, turkey's tryptophan isn't to blame. Turkey doesn't contain significantly more tryptophan than other foods. This amino acid converts to serotonin and melatonin, two chemicals associated with sleep regulation. But turkey doesn't have substantially more tryptophan than other common foods like chicken, beef, nuts, or cheese.
Real sleep disruptors:
-Overeating
-Carb-heavy sides
-Holiday Stress
-Alcohol
For better sleep:
-Moderate portions
-Balance your plate
-Manage stress
Enjoy dinner and wake up refreshed on Friday!
Election 2024: How It Impacted America's Sleep
Our groundbreaking study at sleeptracker.ai reveals fascinating insights into how the 2024 election affected sleep patterns nationwide.
Key findings from our analysis of 1.6+ million nights of sleep:
• Significantly shorter sleep duration on election night as expected.
• Later bedtimes compared to typical weekdays as expected.
• Significantly higher heart rates during election night during sleep!
• Lingering effects from the recent Daylight Saving Time change, yet significant deepening of the sleep deficit.
What makes this study unique?
• 140,000+ sleepers tracked daily
• Clinically validated sleeptracker.ai platform and dataset with Stanford Sleep Medicine
• Real-time dataset analysis
We've created an eye-opening infographic to visualize these trends. Check it out!
How did the election impact YOUR sleep? Visit our LinkedIn thread to share your experience.
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!
News
Fullpower-AI® is the developer of the Sleeptracker-AI® Platform. Fullpower-AI® is a leading science and technology company specializing in real-time AI deep-learning biosensing. Our edge-to-cloud platform, backed by 135+ patents and ISO 27001 certification, serves diverse industries, including sleep technology (Sleeptracker.ai), life sciences, and healthcare across 140+ countries. We offer flexible engagement models through CRO services, IP licensing, and PaaS solutions, empowering organizations to advance sleep science, healthcare outcomes, and wellness. Stanford Sleep Medicine and UCSF vet our platform.
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 developer of the Sleeptracker-AI® Platform. Fullpower-AI® is a leading science and technology company specializing in real-time AI deep-learning biosensing. Our edge-to-cloud platform, backed by 135+ patents and ISO 27001 certification, serves diverse industries, including sleep technology (Sleeptracker.ai), life sciences, and healthcare across 140+ countries. We offer flexible engagement models through CRO services, IP licensing, and PaaS solutions, empowering organizations to advance sleep science, healthcare outcomes, and wellness. Stanford Sleep Medicine and UCSF vet our platform.
Visit Fullpower-AI
Sleep research, science, and medicine are our focus. We support three successful business models: CRO, B2B Licensing, and PaaS.