Time-variant partial directed coherence in analysis of the cardiovascular system. A methodological study.
Time-variant partial directed coherence (tvPDC) is used for the first time in a multivariate analysis of heart rate variability (HRV), respiratory movements (RMs) and (systolic) arterial blood pressure. It is shown that respiration-related HRV components which also occur at other frequencies besides the RM frequency (= respiratory sinus arrhythmia, RSA) can be identified. These additional components are known to be an effect of the 'half-the-mean-heart-rate-dilemma' ('cardiac aliasing' CA). These CA components may contaminate the entire frequency range of HRV and can lead to misinterpretation of the RSA analysis. TvPDC analysis of simulated and clinical data (full-term neonates and sedated patients) reveals these contamination effects and, in addition, the respiration-related CA components can be separated from the RSA component and the Traube-Hering-Mayer wave. It can be concluded that tvPDC can be beneficially applied to avoid misinterpretations in HRV analyses as well as to quantify partial correlative interaction properties between RM and RSA.
Bernstein Group for Computational Neuroscience Jena, Institute of Medical Statistics, Computer Sciences and Documentation, Jena, Germany. Thomas.Milde@mti.uni-jena.de
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Milde
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Schwab
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Walther
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Eiselt
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Schelenz
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Voss
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Witte
D001146:Arrhythmia, Sinus / Q000175:diagnosis* / Q000503:physiopathology*; D001794:Blood Pressure; D002319:Cardiovascular System / Q000503:physiopathology*; D003198:Computer Simulation; D004562:Electrocardiography / Q000379:methods; D006339:Heart Rate; D006801:Humans; D007231:Infant, Newborn; D008955:Models, Cardiovascular; D015999:Multivariate Analysis; D015656:Respiratory Mechanics