Sample entropy analysis of noisy atrial electrograms during atrial fibrillation
type: Item
instance of: scholarly article
title: Sample entropy analysis of noisy atrial electrograms during atrial fibrillation
zbMATH Open document ID: 1411.92156
DOI: 10.1155/2018/1874651
author: Eva María Cirugeda-Roldán
author: Antonio Molina Picó
author: Daniel Novák
author: David Cuesta-Frau
author: Vaclav Kremen
published in: Computational \& Mathematical Methods in Medicine
publication date: 2019-03-27T00:00:00Z
review text: Summary: Most cardiac arrhythmias can be classified as atrial flutter, focal atrial tachycardia, or atrial fibrillation. They have been usually treated using drugs, but catheter ablation has proven more effective. This is an invasive method devised to destroy the heart tissue that disturbs correct heart rhythm. In order to accurately localise the focus of this disturbance, the acquisition and processing of atrial electrograms form the usual mapping technique. They can be single potentials, double potentials, or complex fractionated atrial electrogram (CFAE) potentials, and last ones are the most effective targets for ablation. The electrophysiological substrate is then localised by a suitable signal processing method. Sample entropy is a statistic scarcely applied to electrograms but can arguably become a powerful tool to analyse these time series, supported by its results in other similar biomedical applications. However, the lack of an analysis of its dependence on the perturbations usually found in electrogram data, such as missing samples or spikes, is even more marked. This paper applied SampEn to the segmentation between non-CFAE and CFAE records and assessed its class segmentation power loss at different levels of these perturbations. The results confirmed that SampEn was able to significantly distinguish between non-CFAE and CFAE records, even under very unfavourable conditions, such as 50\% of missing data or 10\% of spikes.
Mathematics Subject Classification ID: 92C55
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 7043193
zbMATH Keywords: atrial fibrillation
zbMATH Keywords: noisy atrial electrograms
zbMATH Keywords: sample entropy
Wikidata QID: Q55669346
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2018/1874651
OpenAlex ID: W2807770382
cites work: Wilcoxon-Mann-Whitney or t-test? On assumptions for hypothesis tests and multiple interpretations of decision rules
cites work: Sample Entropy Statistics and Testing for Order in Complex Physiological Signals
description: scientific article; zbMATH DE number 7043193