Key result
A mean-squared error algorithm quantified atrial fibrillation organization at ~300 ms resolution and distinguished nonfibrillatory from fibrillatory rhythms (p<0.00001).
Why the study?
Does the MSE algorithm improve the quantification of organization during atrial fibrillation compared to previously published algorithms in a canine model?
Does the MSE algorithm improve the quantification of organization during atrial fibrillation compared to previously published algorithms in a canine model?
p-value: p=< .00001
A novel mean-squared error algorithm provides higher temporal resolution and sensitivity in quantifying atrial fibrillation organization compared to existing algorithms in a canine model.
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Higher-resolution AF organization quantification feasible in canines; leaves open human validation.
Sih et al. (1999) studied Atrial fibrillation. Mean-squared error (MSE) algorithm vs. Previously published algorithms was evaluated on Quantification of AF organization (distinguishing nonfibrillatory from fibrillatory rhythms) (p=< .00001). A mean-squared error algorithm quantified atrial fibrillation organization at ~300 ms resolution and distinguished nonfibrillatory from fibrillatory rhythms (p<0.00001).
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