ArticleEntropy (Basel, Switzerland)2021
Influence of Ectopic Beats on Heart Rate Variability Analysis.
Article in Entropy (Basel, Switzerland), 2021. 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.
- Dynamic prediction of paroxysmal atrial fibrillation onset using longitudinal sample entropy in joint models.BMC medical research methodology · 2026Article
- An OMOP Common Data Model pipeline for electrocardiography dataset integration by standardizing signal metadata and heart rate variability features.Frontiers in bioinformatics · 2026Article
- A focus on the assessment of the autonomic function using heart rate variability.Global cardiology science & practice · 2025Review
- How to properly evaluate cardiac vagal tone in oncology studies: a state-of-the-art review.Journal of the National Cancer Center · 2024Review
- Impact of QRS misclassifications on heart-rate-variability parameters (results from the CARLA cohort study).PloS one · 2024Article
- Signal Quality Analysis for Long-Term ECG Monitoring Using a Health Patch in Cardiac Patients.Sensors (Basel, Switzerland) · 2023Article
- A two-step pre-processing tool to remove Gaussian and ectopic noise for heart rate variability analysis.Scientific reports · 2022Article
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4 authors.
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Abstract
The analysis of heart rate variability (HRV) plays a dominant role in the study of physiological signal variability. HRV reflects the information of the adjustment of sympathetic and parasympathetic nerves on the cardiovascular system and, thus, is widely used to evaluate the functional status of the cardiovascular system. Ectopic beats may affect the analysis of HRV. However, the quantitative relationship between the burden of ectopic beats and HRV indices, including entropy measures, has not yet been investigated in depth. In this work, we analyzed the effects of different numbers of ectopic beats on several widely accepted HRV parameters in time-domain (SDNN), frequency-domain (LF/HF), as well as non-linear features (SampEn and Pt-SampEn (physical threshold-based SampEn)). The results showed that all four indices were influenced by ectopic beats, and the degree of influence was roughly increased with the increase of the number of ectopic beats. Ectopic beats had the greatest impact on the frequency domain index LF/HF, whereas the Pt-SampEn was minimally accepted by ectopic beats. These results also indicated that, compared with the other three indices, Pt-SampEn had better robustness for ectopic beats.
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