Key result
Computer algorithms using atrial rate, power spectrum analysis, and amplitude probability density discriminated atrial fibrillation from regular atrial rhythms with high sensitivity and specificity.
Why the study?
Can computer algorithms analyzing intra-atrial electrograms accurately discriminate atrial fibrillation from regular atrial rhythms?
Population
27 intra-atrial electrogram recordings from patients
Design
Other
Authors
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May support automated detection algorithms in devices; leaves open prospective clinical validation.
Observational
Can computer algorithms analyzing intra-atrial electrograms accurately discriminate atrial fibrillation from regular atrial rhythms?
Computer algorithms analyzing intra-atrial electrograms can accurately discriminate atrial fibrillation from regular atrial rhythms, providing a foundation for automatic implantable anti-tachycardia devices.
Slocum et al. (1988) conducted an observational in Atrial fibrillation and regular atrial rhythms. Computer discrimination algorithms (atrial rate, power spectrum, amplitude probability density) was evaluated on Discrimination of atrial fibrillation from regular rhythms. Computer algorithms using atrial rate, power spectrum analysis, and amplitude probability density discriminated atrial fibrillation from regular atrial rhythms with high sensitivity and specificity.
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