Cough Radar

Sleep Cycle, a leading sleep analysis app, launched Cough Radar, to predict respiratory illness outbreaks two weeks before the public health system is even aware, by leveraging its data from millions of nightly user sessions.

This innovative technology is a significant breakthrough in AI-driven health monitoring and represents a revolutionary advancement at the intersection of AI and healthcare. By bringing AI to bed, users gain access to advanced health monitoring to detect their own coughing events, with detailed analyses of their coughing patterns – including frequency and duration – enabling them to be more proactive with their own health. This technology represents the future of personalized healthcare management, leveraging AI's potential to drive positive change.

Cough Radar uses sound analysis to detect coughing patterns during sleep, helping users identify potential illness before noticeable symptoms appear during waking hours. It also alerts users to elevated coughing levels in their geographic area, aiding decision-making about group gatherings or going into the office, especially for high-risk individuals. It works by employing sophisticated neural networks trained on diverse datasets to accurately detect coughing events. The AI algorithms operate unobtrusively on users' smartphones simply resting on their nightstand, transforming bedrooms into proactive healthcare hubs.

The technology leverages a global network of anonymized sensors, providing continuous, real-time data from over 1 million daily users worldwide. By aggregating this data regionally, Cough Radar identifies patterns and anomalies in coughing behavior, offering predictive insights into periods of heightened illness risk. It's important to note that Cough Radar predicts coughing events, not specific illnesses.

With the most groundbreaking aspect of Cough Radar being to predict respiratory illness before healthcare networks confirm cases, we envision this technology contributing to broader public health efforts in a big way. The early warnings will be invaluable for healthcare systems, enabling timely interventions and better preparedness in managing disease spread.

These insights will help both users and the public health care systems prepare for heightened illness seasons and the focus on coughing ensures higher accuracy and reliability in detection.