Low-Pass Filtering Approach via Empirical Mode Decomposition Improves Short-Scale Entropy-Based Complexity Estimation of QT Interval Variability in Long QT Syndrome Type 1 Patients

Low-Pass Filtering Approach via Empirical Mode Decomposition Improves Short-Scale Entropy-Based Complexity Estimation of QT Interval Variability in Long QT Syndrome Type 1 Patients

Entropy-based complexity of cardiovascular variability at short time scales is largely dependent on the noise and/or action of neural circuits operating at high frequencies. This study proposes a technique for canceling fast variations from cardiovascular variability, thus limiting the effect of the...

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Bibliographic Details
Main Authors: Vlasta Bari, Andrea Marchi, Beatrice De Maria, Giulia Girardengo, Alfred L. George, Paul A. Brink, Sergio Cerutti, Lia Crotti, Peter J. Schwartz, Alberto Porta
Format: Article
Language:English
Published: MDPI AG 2014-09-01
Series:Entropy
Subjects:
heart rate variability
LQT1
EMD
sample entropy
KCNQ1-A341V mutation
beta-blocker therapy
autonomic nervous system
cardiovascular control
Online Access:http://www.mdpi.com/1099-4300/16/9/4839

Internet

http://www.mdpi.com/1099-4300/16/9/4839

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