Summary: Sleep Cycle has launched Sleep Stages, a smartphone-based technology that measures sleep stages, including REM sleep—the phase where most dreaming occurs. By analyzing breathing patterns and movement sounds through the phone’s microphone, the app provides users with insights into their sleep, including the amount of time spent dreaming, without the need for wearables. Built on polysomnographic and app-generated data, the tech offers a non-contact solution for understanding sleep patterns and will be available initially to iOS users before becoming a premium feature.
Key Takeaways:
- Track Dream Time with New Sleep Tech: Sleep Cycle’s Sleep Stages technology measures REM sleep, the phase where most dreaming occurs, offering users insights into how much time they spend dreaming each night.
- AI-Powered Dream and Sleep Analysis: Using AI and machine learning, the app analyzes breathing and movement patterns to identify REM, light, and deep sleep stages, providing detail without wearables.
- Non-Intrusive Smartphone Solution: Sleep Stages utilizes a smartphone’s microphone for non-contact monitoring, making advanced sleep and dream tracking accessible and user-friendly.
Sleep technology company Sleep Cycle announced the rollout of Sleep Stages, a new technology that allows users to measure their sleep stages and how long they spend in the dream stage each night.
This technology combines breathing patterns and movement sounds, with only a smartphone, to accurately identify sleep stages such as REM sleep (the phase where most dreaming occurs), light sleep, and deep sleep, offering users a deeper understanding of their sleep patterns.
“How we sleep and how we dream fascinates many people—and with Sleep Cycle’s new technology, we will be able to help users understand how they slept, how many hours they spent in REM sleep, how long it took them to fall asleep, or if there were significant disruptive noises during the night. By utilizing the phone’s microphone to capture and analyze both breathing and movement, Sleep Cycle delivers unparalleled accuracy and is the first app on the market to launch this capability without the need for wearables or intrusive monitoring,“ says Erik Jivmark, CEO of Sleep Cycle, in a release.
Based on AI and ML
The technology is based on artificial intelligence and machine learning trained on an extensive dataset of polysomnographic data collected in a sleep lab, in addition to the data Sleep Cycle has gathered since its inception in 2009. It will be rolled out in stages to all iOS users in the initial phase but will later become part of Sleep Cycle’s premium features on iOS.
Mikael Kågebäck, chief technology officer at Sleep Cycle and PhD in machine learning, describes the technology as an advancement in sleep analysis, where traditional methods still rely on tools that require physical contact.
“The dream stage has always been one of the most challenging aspects of sleep to measure,” says Kågebäck in a release. “By introducing the combination of tracking breathing patterns and movement to understand sleep stages, we are enhancing Sleep Cycle’s capabilities and providing our users with a deeper understanding of their sleep patterns, offering an unprecedented level of detail in a non-contact sleep analysis app.”
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