Similarity Changes Analysis for Heart Rate Fluctuation Regularity as a New Screening Method for Congestive Heart Failure.

Zeming Liu,Keming Wei,Bin Liu,Tian Chen,Guanzheng Liu

doi:10.3390/e23121669

Zeming Liu, Keming Wei + Show 3 more

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https://doi.org/10.3390/e23121669

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Journal: Entropy	Publication Date: Dec 11, 2021
Citations: 5	License type: CC BY 4.0

Affiliation: Sun Yat-sen University, Huazhong Agricultural University

Abstract

Congestive heart failure (CHF) is a chronic cardiovascular condition associated with dysfunction of the autonomic nervous system (ANS). Heart rate variability (HRV) has been widely used to assess ANS. This paper proposes a new HRV analysis method, which uses information-based similarity (IBS) transformation and fuzzy approximate entropy (fApEn) algorithm to obtain the fApEn_IBS index, which is used to observe the complexity of autonomic fluctuations in CHF within 24 h. We used 98 ECG records (54 health records and 44 CHF records) from the PhysioNet database. The fApEn_IBS index was statistically significant between the control and CHF groups (p < 0.001). Compared with the classical indices low-to-high frequency power ratio (LF/HF) and IBS, the fApEn_IBS index further utilizes the changes in the rhythm of heart rate (HR) fluctuations between RR intervals to fully extract relevant information between adjacent time intervals and significantly improves the performance of CHF screening. The CHF classification accuracy of fApEn_IBS was 84.69%, higher than LF/HF (77.55%) and IBS (83.67%). Moreover, the combination of IBS, fApEn_IBS, and LF/HF reached the highest CHF screening accuracy (98.98%) with the random forest (RF) classifier, indicating that the IBS and LF/HF had good complementarity. Therefore, fApEn_IBS effusively reflects the complexity of autonomic nerves in CHF and is a valuable CHF assessment tool.

Highlights

Accepted: 30 November 2021Congestive heart failure (CHF) is a clinical condition with inadequate ventricle filling or manifestation of inadequate myocardial contraction, caused by changes in cardiac structure and function [1]
A previous study has reported that 5-min series is the standard time interval for heart rate variability (HRV) studies [36], but considering that RR-interval signals (RRI) could be keenly aware of heart rate changes, the 1-min segment has good real-time performance
As a method to measure the similarity between symbolic sequences, informationbased similarity (IBS) had been used effectively to quantify the correlation between interbeat interval time series [18,40]

Summary

Introduction

Congestive heart failure (CHF) is a clinical condition with inadequate ventricle filling or manifestation of inadequate myocardial contraction (myocardial failure), caused by changes in cardiac structure and function [1]. It has been identified as a major public health concern and extensively studied within the past two decades. There are about 3 million patients in the United States, nearly 1.5% of the adult population suffering from CHF [2]. The amount of CHF patients is rapidly growing because of the population aging and the increase of survival after myocardial infarction [3].

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