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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

التفاصيل البيبلوغرافية
العنوان: 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
المؤلفون: Vlasta Bari, Andrea Marchi, Beatrice De Maria, Giulia Girardengo, Alfred L. George, Paul A. Brink, Sergio Cerutti, Lia Crotti, Peter J. Schwartz, Alberto Porta
المصدر: Entropy, Vol 16, Iss 9, Pp 4839-4854 (2014)
بيانات النشر: MDPI AG, 2014.
سنة النشر: 2014
المجموعة: LCC:Science
LCC:Astrophysics
LCC:Physics
مصطلحات موضوعية: heart rate variability, LQT1, EMD, sample entropy, KCNQ1-A341V mutation, beta-blocker therapy, autonomic nervous system, cardiovascular control, Science, Astrophysics, QB460-466, Physics, QC1-999
الوصف: 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 these overwhelming influences on entropy-based complexity. The low-pass filtering approach is based on the computation of the fastest intrinsic mode function via empirical mode decomposition (EMD) and its subtraction from the original variability. Sample entropy was exploited to estimate complexity. The procedure was applied to heart period (HP) and QT (interval from Q-wave onset to T-wave end) variability derived from 24-hour Holter recordings in 14 non-mutation carriers (NMCs) and 34 mutation carriers (MCs) subdivided into 11 asymptomatic MCs (AMCs) and 23 symptomatic MCs (SMCs). All individuals belonged to the same family developing long QT syndrome type 1 (LQT1) via KCNQ1-A341V mutation. We found that complexity indexes computed over EMD-filtered QT variability differentiated AMCs from NMCs and detected the effect of beta-blocker therapy, while complexity indexes calculated over EMD-filtered HP variability separated AMCs from SMCs. The EMD-based filtering method enhanced features of the cardiovascular control that otherwise would have remained hidden by the dominant presence of noise and/or fast physiological variations, thus improving classification in LQT1.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1099-4300
Relation: http://www.mdpi.com/1099-4300/16/9/4839; https://doaj.org/toc/1099-4300
DOI: 10.3390/e16094839
URL الوصول: https://doaj.org/article/20bda9fe96f944d795b717aad00a9904
رقم الأكسشن: edsdoj.20bda9fe96f944d795b717aad00a9904
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:10994300
DOI:10.3390/e16094839