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, which took place over several years, used biometric insights from the Garmin Vivosport series to collect data on metrics like heart rate, sleep, and activity levels. This data was combined with self-reported information on emotional state and environmental data from a mobile app.

By feeding this combined dataset into a machine learning model, the researchers were able to predict the likelihood of a participant having a panic attack in the following week with surprisingly high accuracy.

The research went beyond just prediction, providing valuable insights into the potential of wearable devices in mental health monitoring.

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

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Wareable Wareable — 2025-10-16

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