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SleepWatch Premium tracks snoring intensity, frequency, and nighttime sleep sounds to help you better understand your sleep habits. With long-term trend tracking and research-backed snore detection, you can see which changes may be improving your sleep quality.
Your sleep can reveal more about your health and habits than you may realize. With SleepWatch Premium, you can unlock advanced snore tracking designed to help you better understand your nights, identify what may be contributing to your snoring, and discover which changes actually improve your snoring.
Powered by a proprietary machine-learning snore detection algorithm trained on more than 60,000 validated acoustic events, SleepWatch’s snore tracking technology has been validated in peer-reviewed research demonstrating high accuracy in detecting and analyzing snoring patterns.¹
From detailed snore analysis to long-term trend tracking and sleep sound recordings, SleepWatch Premium gives you powerful insights into what’s happening while you sleep—so you can take meaningful steps toward sleeping better.
Snore Score
Want a simple way to understand your snoring at a glance? SleepWatch introduces your Snore Score—a clear, easy-to-understand metric that summarizes your snoring intensity and frequency each night.
Your Snore Score helps you quickly gauge whether your sleep was quiet or disrupted by snoring, without needing to dig through detailed recordings. Over time, you can use this score to identify patterns and see how changes in your daily habits impact your sleep quality.
Snore & Sleep Sound Recording
Do you know how often you snore—or what other sounds happen while you sleep? With SleepWatch Premium, you can record, listen to, and monitor your snoring and nighttime sleep sounds to gain a deeper understanding of your sleep habits.
SleepWatch captures sleep sounds throughout the night, helping you discover how often you talk in your sleep, cough, breathe heavily, or experience other nighttime disruptions.
Snore Pattern Graph
Visualize your night like never before with the Snore Graph. This feature maps your snoring activity throughout the night, showing exactly when snoring occurs and how intense it is.
By seeing your snoring patterns laid out over time, you can better understand what’s happening during different stages of sleep. Whether your snoring peaks early in the night or increases toward the morning, the Snore Graph gives you powerful insights at a glance.
Identify Effective Remedies
Not all snoring solutions work the same for everyone—but now you can find what works best for you. With SleepWatch, you can test different remedies and see how they impact your snoring.
Whether it’s changing your sleep position, avoiding alcohol before bed, using nasal strips, or trying a mouthpiece, SleepWatch helps you connect your actions with real results. By comparing your snoring data night after night, you can confidently identify which changes actually improve your sleep.
Follow Your Snoring Trends
Your snoring data becomes even more powerful over time. With SleepWatch, you can track your snoring trends to understand what’s working—and what’s not.
See how your snoring patterns change as you try different remedies or adjust your habits. Over days, weeks, and months, you’ll be able to spot meaningful improvements and make smarter decisions to reduce snoring and sleep more soundly.
Better Sleep Starts With Better Insights
Understanding your sleep is the first step toward improving it. With SleepWatch Premium’s advanced Snore Tracking tools, you can gain deeper insight into your nightly habits and make more informed decisions about your sleep health.
And because SleepWatch’s snore detection technology is backed by peer-reviewed research demonstrating strong sensitivity, specificity, and overall accuracy, you can feel confident that your insights are built on scientifically validated technology.
If you’re looking for ways to reduce snoring naturally, check out our guide on tips to help manage snoring including sleep position changes, reducing alcohol before bed, and improving nighttime breathing habits.
references
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Brown, J., Mitchell, Z., Jiang, Y. A., & Archdeacon, R. (2025). Accuracy of Smartphone-Mediated Snore Detection in a Simulated Real-World Setting: Algorithm Development and Validation. JMIR Formative Research, 9, e67861. https://pmc.ncbi.nlm.nih.gov/articles/PMC11970566/
