ArticleFrontiers in physiology2019
Renyi Distribution Entropy Analysis of Short-Term Heart Rate Variability Signals and Its Application in Coronary Artery Disease Detection.
Article in Frontiers in physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Association of Inflammatory and Cardiovascular Proteomics Biomarkers With Indices of Heart Rate Variability in the General Population: KORA S4/FF4 Study.Journal of the American Heart Association · 2025Article
- Modified multiscale Renyi distribution entropy for short-term heart rate variability analysis.BMC medical informatics and decision making · 2024Article
- Omecamtiv Mecarbil in the treatment of heart failure: the past, the present, and the future.Frontiers in cardiovascular medicine · 2024Review
- Heart Rate Variability as a Surrogate Marker of Severe Chronic Coronary Syndrome in Patients with Obstructive Sleep Apnea.Diagnostics (Basel, Switzerland) · 2023Article
- Heart rate dynamics in the prediction of coronary artery disease and myocardial infarction using artificial neural network and support vector machine.Journal of applied biomedicine · 2022Article
- A Modified Multivariable Complexity Measure Algorithm and Its Application for Identifying Mental Arithmetic Task.Entropy (Basel, Switzerland) · 2021Article
- Resting Heartbeat Complexity Predicts All-Cause and Cardiorespiratory Mortality in Middle- to Older-Aged Adults From the UK Biobank.Journal of the American Heart Association · 2021Article
- A Smart Service Platform for Cost Efficient Cardiac Health Monitoring.International journal of environmental research and public health · 2020Review
- Spectral Analysis and Mutual Information Estimation of Left and Right Intracardiac Electrograms during Ventricular Fibrillation.Sensors (Basel, Switzerland) · 2020Article
- Early Detection of Sudden Cardiac Death by Using Ensemble Empirical Mode Decomposition-Based Entropy and Classical Linear Features From Heart Rate Variability Signals.Frontiers in physiology · 2020Article
- MIRKB: a myocardial infarction risk knowledge base.Database : the journal of biological databases and curation · 2019Article
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7 authors.
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Abstract
Coronary artery disease (CAD) is a life-threatening condition that, unless treated at an early stage, can lead to congestive heart failure, ischemic heart disease, and myocardial infarction. Early detection of diagnostic features underlying electrocardiography signals is crucial for the identification and treatment of CAD. In the present work, we proposed novel entropy called Renyi Distribution Entropy (RdisEn) for the analysis of short-term heart rate variability (HRV) signals and the detection of CAD. Our simulation experiment with synthetic, physiological, and pathological signals demonstrated that RdisEn could distinguish effectively among different subject groups. Compared to the values of sample entropy or approximation entropy, the RdisEn value was less affected by the parameter choice, and it remained stable even in short-term HRV. We have developed a combined CAD detection scheme with RdisEn and wavelet packet decomposition (WPD): (1) Normal and CAD HRV beats obtained were divided into two equal parts. (2) Feature acquisition: RdisEn and WPD-based statistical features were calculated from one part of HRV beats, and student's
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