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Dataset Information

Visualizing and Quantifying Irregular Heart Rate Irregularities to Identify Atrial Fibrillation Events.


ABSTRACT:

Background

Screening the general public for atrial fibrillation (AF) may enable early detection and timely intervention, which could potentially decrease the incidence of stroke. Existing screening methods require professional monitoring and involve high costs. AF is characterized by an irregular irregularity of the cardiac rhythm, which may be detectable using an index quantifying and visualizing this type of irregularity, motivating wide screening programs and promoting the research of AF patient subgroups and clinical impact of AF burden.

Methods

We calculated variability, normality and mean of the difference between consecutive RR interval series (denoted as modified entropy scale-MESC) to quantify irregular irregularities. Based on the variability and normality indices

SUBMITTER: Keidar N 

PROVIDER: S-EPMC7930338 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature