How often do you see ECG reports that misdiagnose Atrial Fibrillation?

With the CAM Patch’s atrial signal clarity and rhythm specificity, it’s able to distinguish atrial fibrillation from rhythms that mimic it.^1,2

Differentiate AF from a host of other arrhythmias that mimic AF

Get the full picture with a clear signal and high-fidelity ECG data. Instead of relying on QRS rate variability alone, the CAM Patch’s unique P-wave morphology discernment, in conjunction with the 40-minute R-R plot, better clarifies when a patient is or is not in AF.¹

Mid-line of the R-R plot represents the near-field ECG view.
The R-R plot is a 40-minute view with 20 minutes pre-ECG and 20 minutes post-ECG

How do you accurately evaluate AF burden?

Confidently quantifying AF burden is complex. The CAM Report provides clear P-waves, a clean signal, and a third view of the ECG (R-R plot) to definitively identify AF over other atrial arrhythmias, minimizing false positives that contribute to misclassifications in AF burden. The AI algorithm captures AF burden with precision, providing 99.79% positive predictivity helping physicians better understand and manage AF in their patients.^1,2,4

How confident are you in AF diagnosis and burden?

P-wave centric engineering and R-R plots for enhanced rhythm diagnosis

Beat detection technology with a low noise floor, high sensitivity, advanced signal processing, and continuous recording.^1,2
Near, medium, and far-field views of electrocardiographic activity provide a detailed diurnal overview of the patient’s heart rate and heart rhythm. Unique rhythm-specific curation of our P-wave centric database allows a high AF sensitivity and specificity in our AI technology, thereby identifying AF and AF burden more accurately.^2-4

Learn about the science behind 99.79% positive predictivity

Request a Demo

Schedule a demo to learn about the CAM Patch solution and how it may help your practice today.

The Carnation Ambulatory Monitor is intended for ambulatory collection of ECG data. Rx Only. For safe and proper use of the products mentioned herein, please refer to the Instructions for Use.

Reference

Rho R., et al. “Comparison of 2 Ambulatory Patch ECG Monitors: The Benefit of the P-Wave and Signal Clarity.” American Heart Journal, Volume 203, September 2018.
Paris D., et al. “Atrial Signal Clarity Is Critical If Artificial Intelligence (AI) Is To Be Used To Distinguish Atrial Fibrillation (AF) From Rhythms That Mimic AF.” Poster Presented Online. 2020.
Smith WM., et al. “Comparison of diagnostic value using a small, single channel, P-wave centric sternal ECG monitoring patch with a standard 3-lead Holter system over 24 hours.” American Heart Journal. March 2017.
Rho R., et al. “Incidence of classic atrial flutter in outpatients with paroxysmal atrial fibrillation as identified with a new P-wave centric ECG monitor: implications for the AF ablation.” Journal of Interventional Cardiac Electrophysiology, 2017.

US-FLC199-220039 (v4.0) 02/2025

How often do you see ECG reports that misdiagnose Atrial Fibrillation?

Differentiate AF from a host of other arrhythmias that mimic AF

How do you accurately evaluate AF burden?

How confident are you in AF diagnosis and burden?

P-wave centric engineering and R-R plots for enhanced rhythm diagnosis

Request a Demo

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