Why the study?
Does sample entropy of lead II ECG signals differ between patients with chronic atrial fibrillation and subjects without arrhythmia?
Observational (n=49)
Does sample entropy of lead II ECG signals differ between patients with chronic atrial fibrillation and subjects without arrhythmia?
The study explores the application of sample entropy to ECG signals for evaluating the complexity and regularity of chronic atrial fibrillation.
May support sample entropy for AF complexity assessment; leaves open diagnostic utility pending validation.
Background Atrial 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. Methods ECG 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.
No takes yet. Share an insight, caveat, or question.
Horie et al. (2018) conducted an observational in Atrial fibrillation (n=49). Sample entropy (SampEn) of ECG signals vs. Subjects without arrhythmia was evaluated on Sample entropy (SampEn) values.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: