The platform leverages a dataset spanning over 250 million nights of high-fidelity sleep data to provide real-time insights into sleep patterns and disorders.


Summary: A startup has introduced a noninvasive, contactless sleep monitoring platform that utilizes over 250 million nights of high-fidelity sleep data to offer real-time insights into sleep patterns and disorders. This technology aims to enhance healthcare practices by providing detailed sleep data that can inform clinical strategies and public health initiatives. The platform features continuous monitoring, real-world data collection, and integration with healthcare systems via a real-time API.

Key Takeaways:

  • The platform uses over 250 million nights of high-fidelity sleep data, collected over five years, offering a resource for studying sleep patterns and their impact on health.
  • The system provides continuous, real-time monitoring of sleep, respiration, heart rate, and other vital signs without physical contact.
  • The platform integrates with existing healthcare systems via a real-time API, allowing for correlation of sleep data with electronic health records and clinical assessments.

Sleep technology company Fullpower-AI announced the launch of the Sleeptracker-AI platform, a real-time, noninvasive, and contactless sleep monitoring system that leverages a dataset of over 250 million nights of high-fidelity sleep data to provide insights into sleep patterns and disorders. 

By leveraging the data provided by the Sleeptracker-AI platform, healthcare systems can gain insights into sleep patterns and disorders and their relationships with various health conditions. This data can inform clinical practice, treatment strategies, and public health initiatives, according to a release from the company.

“At Fullpower-AI, we are dedicated to advancing sleep science through innovative technology and comprehensive data. The launch of our Sleeptracker-AI platform, equipped with the industry’s most extensive dataset, marks a significant milestone in our mission to improve health worldwide. We are excited to see the profound impact this platform will have on individual well-being and the broader field of clinical research,” says Philippe Kahn, CEO of Fullpower-AI, in a release. 

Features of Sleeptracker-AI

The Sleeptracker-AI real-time platform features: 

  1. Large dataset: With such a vast amount of sleep data collected over millions of nights and five years, developers and practitioners can access an extensive dataset for studying sleep patterns and disorders and their impact on health outcomes. 
  2. Real-world data: The data collected by Sleeptracker-AI comes from real-world settings, capturing the natural sleep patterns and behaviors of individuals in their home environments with five years of longitudinal data, including the correlations between two sleepers in the same bed. This real-world dataset can be more representative of the general population compared to controlled clinical studies, allowing for more generalizable findings.
  3. Continuous monitoring: The Sleeptracker-AI platform enables real-time continuous monitoring of sleep, respiration, heart rate, and other vital signs throughout the night. This longitudinal data can help researchers understand sleep dynamics over time and identify patterns or changes associated with various health conditions or interventions.
  4. Noninvasive and contactless: The Sleeptracker-AI system is noninvasive and contactless, continuing to monitor without needing anything after initial setup. 
  5. Integration with healthcare systems via Real-time API: The Sleeptracker-AI platform and its real-time API integrate with existing healthcare systems, allowing researchers to correlate sleep data with electronic health records, clinical assessments, and other relevant data sources. 
  6. Scalability and accessibility: With a cloud-based infrastructure, the Sleeptracker-AI platform can scale to accommodate large-scale research projects and provide secure, remote access to data for researchers across different locations. 
  7. Validation and accuracy: The accuracy of the Sleeptracker-AI system has been validated in collaboration with Stanford Sleep Medicine, ensuring that the data collected is reliable and comparable to gold-standard polysomnography measurements. 
  8. Synthetic data generation: The Sleeptracker-AI platform and large data set allow Fullpower-AI to generate synthetic data as a digital twin for clinical trials.

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