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Atrial fibrillation is not just about detection. It is about about how much occurs.

AF burden measures how much time a patient spends in atrial fibrillation during a given monitoring period. Unlike traditional AF diagnosis — which simply confirms whether AF is present — AF burden provides a quantitative view of the condition. Growing scientific evidence suggests that the amount of AF may influence clinical outcomes and treatment decisions. With longer ECG monitoring and advanced AI analysis, clinicians can now measure AF burden more precisely and gain deeper insight into atrial fibrillation.

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Quantify atrial fibrillation

Move beyond simple AF detection. AF burden measures the percentage of time a patient spends in AF, providing a more complete picture of arrhythmia activity.

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Longer monitoring, better Insights

Reliable AF burden estimation requires multi-day ECG monitoring. Longer recordings reveal the true extent of atrial fibrillation.

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AI precision by Cardiomatics

Cardiomatics AI automatically detects AF episodes and accurately quantifies AF burden from long-term ECG recordings, supporting reliable and scalable analysis.

Resources
Atrial fibrillation burden in clinical practice, research, and technology development: a clinical consensus statement of the European Society of Cardiology Council on Stroke and the European Heart Rhythm Association EP Europace
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Assessment of the atrial fibrillation burden in Holter electrocardiogram recordings using artificial intelligence Cardiovascular Digital Health Journal
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Impact of ambulatory ECG monitoring duration on precision of AI-based AF burden estimation European Heart Journal - Digital Health
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AF burden: a key metric in AF management Cardiomatics Blog
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How to calculate AF burden? Cardiomatics Blog
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Measure AF burden with precision.