ArticleYonago acta medica2018
Sample Entropy in Electrocardiogram During Atrial Fibrillation.
Article in Yonago acta medica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Utility of nonlinear analysis of heart rate variability in early detection of metabolic syndrome.Frontiers in physiology · 2025Article
- Comparison of Information Criteria for Detection of Useful Signals in Noisy Environments.Sensors (Basel, Switzerland) · 2023Article
- Ischemic Stroke Risk Assessment by Multiscale Entropy Analysis of Heart Rate Variability in Patients with Persistent Atrial Fibrillation.Entropy (Basel, Switzerland) · 2021Article
- Optimal Classification of Atrial Fibrillation and Congestive Heart Failure Using Machine Learning.Frontiers in physiology · 2021Article
- [Recent advances in external cardiac defibrillation techniques].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020Review
- Effects of Tau and Sampling Frequency on the Regularity Analysis of ECG and EEG Signals Using ApEn and SampEn Entropy Estimators.Entropy (Basel, Switzerland) · 2020Article
- Wavelet leader multifractal analysis of heart rate variability in atrial fibrillation.Journal of electrocardiologyArticle
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAtrial fibrillation (AF) is an arrhythmia commonly encountered in clinical practice. There is a high risk of thromboembolism in patients with AF. Nonlinear analyses such as electroencephalogram (EEG), electrocardiogram (ECG), and respiratory movement have been used to quantify biological signals, and sample entropy (SampEn) has been employed as a statistical measure to evaluate complex systems. In this study, we examined the values of SampEn in ECG signals for patients with and without AF to measure the regularity and complexity.
methodsECG signals of lead II were recorded from 34 subjects without arrhythmia and 15 patients with chronic AF in a supine position. The ECG signals were converted into time-series data and SampEn was calculated.
resultsThe SampEn values for the group without arrhythmia were 0.252 ± 0.114 [time lag (τ) = 1] and 0.533 ± 0.163 (τ = 5), and those for the chronic AF group were 0.392 ± 0.158 (τ = 1) and 0.759 ± 0.246 (τ = 5). The values of SampEn were significantly higher in the group with chronic AF than in the group without arrhythmia (
conclusionThe values of SampEn from ECG for chronic AF patients were higher than for subjects without arrhythmia, suggesting greater complexity for the time-series from chronic AF patients. SampEn is considered a new index for evaluating complex systems in ECG.
Indexed as
Identifiers
29599622PMC5871726What OpenQuestion holds
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