Does a wearable heart rate monitor and machine learning algorithm accurately detect Atrial Fibrillation?
Wearable heart rate monitors paired with machine learning algorithms can detect atrial fibrillation with high accuracy, enabling potential continuous screening.
An inexpensive wearable heart rate monitor and machine learning algorithm can be used to detect AF with very high accuracy and has the capability to transmit ECG data which could be used to confirm AF. It could potentially be used for intermittent screening or continuously for prolonged periods to detect paroxysmal AF. Further work could lead to cost-effective and accurate estimation of AF burden and improved risk stratification in AF.
Lown et al. (2020) studied this question.
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