Key result
A computer algorithm using an index of irregularity cutoff ≥7.5% discriminated atrial fibrillation from atrial flutter with 100% sensitivity and 95% specificity.
Why the study?
Does a computer algorithm analyzing bipolar endocardial signals accurately discriminate between normal sinus rhythm, atrial flutter, and atrial fibrillation in patients undergoing electrophysiologic study?
Population
28 patients undergoing electrophysiologic study with sustained atrial flutter or atrial fibrillation and…
Design
Cross-sectional
Authors
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May support automated AF/AFL discrimination in devices; hypothesis-generating pending prospective validation.
Observational (n=28)
Does a computer algorithm analyzing bipolar endocardial signals accurately discriminate between normal sinus rhythm, atrial flutter, and atrial fibrillation in patients undergoing electrophysiologic study?
A novel computer algorithm using bipolar endocardial signals can accurately discriminate between sinus rhythm, atrial flutter, and atrial fibrillation, potentially enabling automated differential therapy in implantable devices.
Jung et al. (1998) conducted an observational in Atrial flutter and atrial fibrillation (n=28). Computer algorithm analyzing bipolar endocardial signals was evaluated on Discrimination of normal sinus rhythm, atrial flutter, and atrial fibrillation. A computer algorithm using an index of irregularity cutoff ≥7.5% discriminated atrial fibrillation from atrial flutter with 100% sensitivity and 95% specificity.
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