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1
Fifty dogs with confirmed atrial fibrillation underwent 24-hour Holter monitoring to assess non-linear RR interval metrics.
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2
Ten non-linear RR metrics were evaluated, including CVRR, SD1, SD2, and multiscale entropy, to analyze heart rate variability.
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3
Metrics were categorized into rate-coupled and rate-independent classes, with significant correlations observed in the rate-coupled group.
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4
All dogs exhibited a negative Jensen gap, indicating variability in heart rate that may affect rate-control classification.
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5
The study suggests incorporating rate-independent metrics alongside meanHR for better assessment of atrial fibrillation in dogs and humans.
