Parameters Analysis of Sample Entropy, Permutation Entropy and Permutation Ratio Entropy for RR Interval Time Series
作者：
Highlights：
• A novel variant of information entropy named permutation ratio entropy (PRE) was employed to identify three typical ECG RR interval series.
• The PRE is more correctly reflect data mutation than other entropy methods i.e. sample entropy (SmpE) and permutation entropy (PE).
• The PRE can more correctly yield higher entropy values for the normal sinus rhythm (NSR) RR interval series than that for the congestive heart failure (CHF) and arrhythmia (ARR) RR interval series.
• The PRE can more correctly identify three RR interval series (i.e., NSR, CHF and ARR) than SmpE and PE
• Determining proper parameters of three entropy methods (i.e., SmpE, PE and PRE) for discerning NSR, CHF and ARR RR interval series.
摘要
•A novel variant of information entropy named permutation ratio entropy (PRE) was employed to identify three typical ECG RR interval series.•The PRE is more correctly reflect data mutation than other entropy methods i.e. sample entropy (SmpE) and permutation entropy (PE).•The PRE can more correctly yield higher entropy values for the normal sinus rhythm (NSR) RR interval series than that for the congestive heart failure (CHF) and arrhythmia (ARR) RR interval series.•The PRE can more correctly identify three RR interval series (i.e., NSR, CHF and ARR) than SmpE and PE•Determining proper parameters of three entropy methods (i.e., SmpE, PE and PRE) for discerning NSR, CHF and ARR RR interval series.
论文关键词：Permutation ratio entropy,ECG RR interval,Logistic mapping,Complexity
论文评审过程：Received 30 December 2019, Revised 13 April 2020, Accepted 24 April 2020, Available online 22 May 2020, Version of Record 22 May 2020.
论文官网地址：https://doi.org/10.1016/j.ipm.2020.102283
