Methods for Predicting Atrial Fibrillation (AFIB) Occurrences Using a Wearable Device

A wearable computing device comprising:

• one or more sensors configured to obtain biometric data of a user wearing the wearable computing device;
• and
• one or more computing devices configured to:
• determine the user has experienced an initial cardiac arrhythmia event;
• obtain biometric data indicative of a cardiac rhythm of the user for an observation period in response to determining the user has experienced the initial cardiac arrhythmia event;
• determine one or more temporal patterns of cardiac arrhythmia events of the user during the observation period;
• and
• generate a prediction for a future cardiac arrhythmia event based, at least in part, on the one or more temporal patterns of cardiac arrhythmia events of the user during the observation period.

A non-transitory computer-readable medium storing instructions that, when executed by one or more processors of a computing device, cause the one or more processors to perform operations, the operations comprising:

• determining, via the computing device, a user wearing a wearable computing device has experienced an initial cardiac arrhythmia event based, at least in part, on biometric data obtained from one or more biometric sensors of the wearable computing device;
• responsive to determining the user has experienced the initial cardiac arrhythmia event, obtaining, via the computing device, biometric data indicative of a cardiac rhythm of the user for an observation period;
• determining, via the one or more computing devices, one or more temporal patterns of cardiac arrhythmia events of the user during the observation period;
• and
• generating, via the computing device, a prediction for at least one future cardiac arrhythmia event based, at least in part, on the one or more temporal patterns of cardiac arrhythmia events of the user during the observation period.