Why the study?
Do computer algorithms accurately detect atrial fibrillation from chronic pacing leads in dogs?
Population
Dogs with implanted chronic atrial and ventricular leads, recorded in sinus rhythm and induced atrial…
Comparison
Three signal processing methods for detecting… vs Sinus rhythm
Design
Preclinical
Follow-up
up to 55 days following implantation
Key result
Three signal processing algorithms effectively detected atrial fibrillation from chronic pacing leads in dogs, with spectral analysis yielding 100% sensitivity and 95% specificity.
Authors
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May support algorithm development from pacing leads; leaves open human translation.
Do computer algorithms accurately detect atrial fibrillation from chronic pacing leads in dogs?
Computer algorithms using amplitude distribution or rate determination can perfectly separate atrial fibrillation from sinus rhythm in chronic pacing leads in a canine model.
Jenkins et al. (1988) studied Atrial fibrillation. Three detection algorithms (rate, amplitude distribution, frequency spectral analysis) was evaluated on Performance in detection of atrial fibrillation. Three signal processing algorithms effectively detected atrial fibrillation from chronic pacing leads in dogs, with spectral analysis yielding 100% sensitivity and 95% specificity.