The Symptom Radar feature of Oura recognizes early health changes

Oura Labs: A New Experimental Feature Takes Symptom Detection to the Next Level

Starting today, Oura users have access to a new experimental feature called Oura Labs. This feature allows users to opt in and try out new features. The first feature available is Symptom Radar, which detects early signs of physiological strain. Unlike illness detection, which was the focus during the early days of the pandemic, Symptom Radar alerts users to significant changes in biometric trends like temperature, respiratory rate, resting heart rate, and heart rate variability. When alerted, users can choose to enable Rest Mode or lower their daily activity goal to prioritize rest. However, other factors like intense workouts or lack of sleep could also be the cause.

The Oura Ring is cautious in how it presents Symptom Radar, making it clear that it is not a diagnostic feature but rather a tool to help users understand their body’s signals. This distinction allows the feature to fall under wellness and general education, avoiding the need for FDA clearance. However, the possibility of illness detection in the future is not entirely ruled out as shown in a study released by Oura last year that linked covid-19 symptoms to long-term impacts on biometrics.

The features within Oura Labs are subject to change based on user feedback and data analysis. Similar to Fitbit’s Fitbit Labs, Oura Labs provides a platform for experimentation and innovation, giving users a chance to try out new features and provide feedback for potential integration into the main app. This continuous learning process aims to improve the overall user experience and functionality of the Oura Ring.

In summary, starting today Oura users have access to an experimental feature called Oura Labs that includes Symptom Radar which alerts users of significant changes in biometric trends like temperature and heart rate variability. While illness detection is not entirely ruled out for future use this feature falls under wellness and general education category avoiding FDA clearance requirement while providing an opportunity for continuous improvement through user feedback and data analysis with potential integration into main app.

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