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    Home » Device » Smartwatch » Google’s Fitbit Tests Data-Driven Feature to Spot Unusual Health Patterns
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    Google’s Fitbit Tests Data-Driven Feature to Spot Unusual Health Patterns

    New Fitbit Labs experiment uses biometric trends to detect potential stress indicators
    By Alan JohnsonNovember 12, 2025No Comments2 Mins Read
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    Credit: Fitbit
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    Fitbit is piloting a new experimental feature called Unusual Trends within Fitbit Labs, available to a limited number of users with Fitbit and Google Pixel wearables. The tool is intended to identify irregularities in health data that may indicate physical or emotional stress.

    The system evaluates various biometric factors, including heart rate variability, average heart rate during non-REM sleep, and average respiration rate. By comparing these data points against a user’s historical averages, it can highlight unusual fluctuations that might signal stress responses or early signs of illness.

    See also: Fitbit Prepares New Product Launch After Extended Pause

    Fitbit has indicated that these changes can be influenced by multiple factors, such as travel, alcohol use, or respiratory conditions. When an anomaly is detected, users receive a notification suggesting they record any relevant symptoms. The company emphasized that the feature is not a substitute for professional medical assessment.

    Participants can check their eligibility for the feature through the Fitbit app under You > Fitbit Labs > See all. Those who enroll must consent to share anonymized health data for research and product development.

    See also: Google to Penalize Battery-Draining Android Apps Under New Play Store Policy

    The feature is compatible with several wearables, including the Fitbit Charge 6, though the company has not yet confirmed when it will become available to all users. The rollout is expected to depend on user feedback and ongoing testing outcomes.

    Source: Google, Wareable

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    Alan Johnson

    Alan has been covering the technology news scene since 2010. Have passion in cryptocurrency and blockchain technology.

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