Garmin data used to predict panic attacks with over 90% accuracy in study

Predicting Panic Attacks with Garmin Data

Researchers at the National Taiwan University have published studies showing that physiological data from Garmin trackers can be used to predict panic attacks with 92% accuracy.

The studies utilized biometric insights from the Garmin Vivosmart series to collect data on metrics like heart rate, sleep, and activity levels, combined with self-reported information on emotional state and environmental data from a mobile app.

The combined dataset was fed into a machine learning model to predict the likelihood of a participant having a panic attack in the following week.

The research not only achieved high accuracy in prediction but also went beyond just prediction, providing valuable insights.

Author's summary: Garmin data predicts panic attacks with 92% accuracy.

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Wareable Wareable — 2025-10-16

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