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2021 | OriginalPaper | Chapter

Comparison of Heart Rate Variability Analysis with Empirical Mode Decomposition and Fourier Transform

Authors : Javier Zelechower, Fernando Pose, Francisco Redelico, Marcelo Risk

Published in: Applied Informatics

Publisher: Springer International Publishing

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Abstract

The heart rate variability (HRV) analysis allows the study of the regulation mechanisms of the cardiovascular system, in both normal and pathological conditions, and the power spectral density analysis of the short-term HRV was adopted as a tool for the evaluation of the autonomic function. The Ensemble Empirical Mode Decomposition (EEMD) is an adaptive method generally used to analyze non-stationary signals from non-linear systems. In this work, the performance of the EEMD in the decomposition of the HRV signal in the main spectral components is studied, in a first instance to a synthesized series to calibrate the method and achieve confidence and then to a real HRV database. In conclusion, the results of this work propose the EEMD as useful method for analysis HRV data. The ability of decomposes the main spectral bands and the capability to deal with non-linear and non-stationary behaviors makes the EEMD a powerful method for tracking frequency changes and amplitude modulations in HRV signals generated by autonomic regulation.

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Metadata
Title
Comparison of Heart Rate Variability Analysis with Empirical Mode Decomposition and Fourier Transform
Authors
Javier Zelechower
Fernando Pose
Francisco Redelico
Marcelo Risk
Copyright Year
2021
Book
Applied Informatics

Print ISBN: 978-3-030-89653-9

Electronic ISBN: 978-3-030-89654-6

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-89654-6_20

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