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

Entropy ◽  
2021 ◽  
Vol 23 (12) ◽  
pp. 1669
Author(s):  
Zeming Liu ◽  
Tian Chen ◽  
Keming Wei ◽  
Guanzheng Liu ◽  
Bin Liu
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
Congestive Heart Failure ◽  
Assessment Tool ◽  
Screening Method ◽  
Approximate Entropy ◽  
Relevant Information ◽  
Autonomic Nerves ◽  
Rate Fluctuation ◽  
Screening Accuracy

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.

USING DIFFERENT ENTROPIES TO ANALYZE THE HEART RATE VARIABILITY OF CONGESTIVE HEART FAILURE PATIENTS

2011 ◽  
Vol 23 (04) ◽  
pp. 253-260 ◽  
Author(s):  
Ren-Guey Lee ◽  
Chun-Chieh Hsiao ◽  
Chieh-Yi Kao
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
Congestive Heart Failure ◽  
Heart Rate Variability ◽  
Analysis Of Variance ◽  
Human Body ◽  
Approximate Entropy ◽  
Young Group ◽  
Multiscale Entropy ◽  
Heart Failure Patients

The purpose of this paper is to show the influence of congestive heart failure (CHF) on heart by using different entropies to apply on the group of patients with CHF and normal group. Three different entropies are used: approximate entropy (ApEn), multiscale entropy (MSE), and base-scale entropy (BsEn). We use these three entropies to measure the complexity of the heart rate variability (HRV) and also use analysis of variance (ANOVA) to analyze the result of entropies to discuss the feasibility of recognizing CHF patients by utilizing entropies. With the analysis results of different entropies, the influence of CHF on heart has also been clearly demonstrated. The results on the approximate entropy show that the normal young group has a higher approximate entropy value while the CHF group has a lower value. This can be explained as a healthy, strong heart that can change its heart rate freely to adapt the change of the environment or the needs of the human body, therefore the HRV will be more complex. From the ANOVA results of approximate entropy, it can be observed that the F value is larger than 1, but is still small. In other words, the approximate entropy can be used to distinguish the three groups, the effect is, however, not good. It is hard to recognize a CHF patient by using approximate entropy.

scholarly journals AGE-BASED ANALYSIS OF HEART RATE VARIABILITY (HRV) FOR PATIENTS WITH CONGESTIVE HEART FAILURE

Fractals ◽  
2021 ◽  
pp. 2150135
Author(s):  
HAMIDREZA NAMAZI ◽  
DUMITRU BALEANU ◽  
ONDREJ KREJCAR
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
Congestive Heart Failure ◽  
Heart Rate Variability ◽  
Fractal Dimension ◽  
Age Groups ◽  
Approximate Entropy ◽  
Sample Entropy ◽  
Heart Activity ◽  
Complexity Measures

It is known that heart activity changes during aging. In this paper, we evaluated alterations of heart activity from the complexity point of view. We analyzed the variations of heart rate of patients with congestive heart failure that are categorized into four different age groups, namely 30–39, 50–59, 60–69, and 70–79 years old. For this purpose, we employed three complexity measures that include fractal dimension, sample entropy, and approximate entropy. The results showed that the trend of increment of subjects’ age is reflected in the trend of increment of the complexity of heart rate variability (HRV) since the values of fractal dimension, approximate entropy, and sample entropy increase as subjects get older. The analysis of the complexity of other physiological signals can be further considered to investigate the variations of activity of other organs due to aging.

Correlation and stability of heart rate and ventricular ectopy variability in patients with congestive heart failure

2001 ◽  
Vol 88 (2) ◽  
pp. 175-179 ◽  
Author(s):  
Maria I. Anastasiou-Nana ◽  
Labros A. Karagounis ◽  
John Kanakakis ◽  
Nikolaos E. Kouvelas ◽  
Anastasios Geramoutsos ◽  
...  
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
Congestive Heart Failure ◽  
Ventricular Ectopy

Application of empirical mode decomposition (EMD) for automated identification of congestive heart failure using heart rate signals

2016 ◽  
Vol 28 (10) ◽  
pp. 3073-3094 ◽  
Author(s):  
U. Rajendra Acharya ◽  
Hamido Fujita ◽  
Vidya K. Sudarshan ◽  
Shu Lih Oh ◽  
Adam Muhammad ◽  
...  
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
Congestive Heart Failure ◽  
Empirical Mode Decomposition ◽  
Automated Identification ◽  
Mode Decomposition

scholarly journals A10-3 Heart rate variability and heart rate early changes induced by ventricular pacing in advances congestive heart failure

EP Europace ◽  
2003 ◽  
Vol 4 (Supplement_2) ◽  
pp. B15-B15
Author(s):  
F. Giraldi ◽  
M. Kloss ◽  
C. Fantoni ◽  
F. Regolip ◽  
H. Klein ◽  
...  
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
Congestive Heart Failure ◽  
Heart Rate Variability ◽  
Ventricular Pacing

Ivabradine for Uncontrolled Sinus Tachycardia in Thyrotoxic Cardiomyopathy – Case Report

2021 ◽  
Vol 21 ◽  
Author(s):  
Amit Frenkel ◽  
Yoav Bichovsky ◽  
Natan Arotsker ◽  
Limor Besser ◽  
Ben-Zion Joshua ◽  
...  
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
Congestive Heart Failure ◽  
Sinus Tachycardia ◽  
Beta Blockers ◽  
Selective Inhibitor ◽  
Thyroid Storm ◽  
Case Presentation ◽  
Control Heart ◽  
Control Heart Rate

Background: Beta blockers, mainly propranalol, are usually administered to control heart rate in patients with thyrotoxicosis, especially when congestive heart failure presents. However, when thyrotoxicosis is not controlled, heart rate may be difficult to control even with maximal doses of propranolol. This presentation alerts physicians to the possibility of using ivabradine, a selective inhibitor of the sinoatrial pacemaker, for the control of heart rate. Case presentation: We present a 37-year-old woman with thyrotoxicosis and congestive heart failure whose heart rate was not controlled with a maximal dose of beta blockers during a thyroid storm. The addition of ivabradine, a selective inhibitor of the sinoatrial pacemaker, controlled her heart rate within 48 hours. Conclusion: Ivabradine should be considered in patients with thyrotoxicosis, including those with heart failure, in whom beta blockers are insufficient to control heart rate

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