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Open AccessArticle

Empirical Mode Decomposition as a Novel Approach to Study Heart Rate Variability in Congestive Heart Failure Assessment

1
Department of Biomedical Engineering, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou 511436, China
2
School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China
*
Author to whom correspondence should be addressed.
Entropy 2019, 21(12), 1169; https://doi.org/10.3390/e21121169
Received: 24 October 2019 / Revised: 21 November 2019 / Accepted: 22 November 2019 / Published: 29 November 2019
Congestive heart failure (CHF) is a cardiovascular disease related to autonomic nervous system (ANS) dysfunction and fragmented patterns. There is a growing demand for assessing CHF accurately. In this work, 24-h RR interval signals (the time elapsed between two successive R waves of the QRS signal on the electrocardiogram) of 98 subjects (54 healthy and 44 CHF subjects) were analyzed. Empirical mode decomposition (EMD) was chosen to decompose RR interval signals into four intrinsic mode functions (IMFs). Then transfer entropy (TE) was employed to study the information transaction among four IMFs. Compared with the normal group, significant decrease in TE (*→1; information transferring from other IMFs to IMF1, p < 0.001) and TE (3→*; information transferring from IMF3 to other IMFs, p < 0.05) was observed. Moreover, the combination of TE (*→1), TE (3→*) and LF/HF reached the highest CHF screening accuracy (85.7%) in IBM SPSS Statistics discriminant analysis, while LF/HF only achieved 79.6%. This novel method and indices could serve as a new way to assessing CHF and studying the interaction of the physiological phenomena. Simulation examples and transfer entropy applications are provided to demonstrate the effectiveness of the proposed EMD decomposition method in assessing CHF. View Full-Text
Keywords: autonomic nervous system (ANS); congestive heart failure (CHF); empirical mode decomposition (EMD); heart rate variability (HRV); transfer entropy (TE) autonomic nervous system (ANS); congestive heart failure (CHF); empirical mode decomposition (EMD); heart rate variability (HRV); transfer entropy (TE)
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Chen, M.; He, A.; Feng, K.; Liu, G.; Wang, Q. Empirical Mode Decomposition as a Novel Approach to Study Heart Rate Variability in Congestive Heart Failure Assessment. Entropy 2019, 21, 1169.

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