Remove Atrial Flutter Remove Electrocardiogram Remove Technology
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HeartBeam Presents Positive Results on its Artificial Intelligence Capabilities for Detecting Arrhythmias

DAIC

In the study, HeartBeam AI with VCG demonstrated a 28% improvement over single-lead ECG in the detection of atrial flutter cases (sensitivity of 91.0% for single-lead ECG) without sacrificing the ability to identify those individuals without atrial flutter (specificity of 98.7% for VCG vs. 71.2% for VCG vs. 96.9%

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MP-470548-004 PERFORMANCE AND INTEROPERABILITY OF A VECTORCARDIOGRAM DEEP LEARNING ALGORITHM TO DETECT ATRIAL FLUTTER COMPARED TO ELECTROCARDIOGRAM ANALYSIS BY ELECTROPHYSIOLOGISTS

HeartRhythm

The representation of ECG vectors in X, Y, and Z axes in a vectorcardiogram (VCG) has shown diagnostic promise beyond single lead ECG (SL) analysis, with implications for novel ECG acquisition technologies. It is unclear how deep learning applied to VCG compares to physicians (EPs) for atrial flutter (AFL) detection.

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Cardiomatics guide: Analyzing arrhythmias made easy

Cardiomatics

In a world where technology reigns supreme, one of the most profound tools in medicine remains the irreplaceable electrocardiogram (ECG). As technology advances, so too does our ability to capture the heart’s rhythm with greater precision. AFIB/AFL – atrial fibrillation or atrial flutter episodes.