In vivo cardiac phase response curve elucidates human respiratory heart rate variability
نویسندگان
چکیده
منابع مشابه
In vivo cardiac phase response curve elucidates human respiratory heart rate variability.
Recovering interaction of endogenous rhythms from observations is challenging, especially if a mathematical model explaining the behaviour of the system is unknown. The decisive information for successful reconstruction of the dynamics is the sensitivity of an oscillator to external influences, which is quantified by its phase response curve. Here we present a technique that allows the extracti...
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Heart failure is associated with autonomic imbalance, and this can be evaluated by a spectral analysis of heart rate variability. However, the time course of low-frequency (LF) and high-frequency (HF) heart rate variability changes, and their functional correlates during progression of the disease are not exactly known. Progressive heart failure was induced in 16 beagle dogs over a 7-wk period ...
متن کاملتغییرپذیری ضربان قلب Heart rate variability))
Abstract Many studies have been conducted on heart rate variability. Variability in the heart signal of two sequential beats is called heart rate variability (HRV). Short- and long- term variability reflects autonomic nervous system function, so that increased or decreased heart rate variability (HRV) is an indicator of human health. So, the analysis of these changes can predict sudden death...
متن کاملتغییرپذیری ضربان قلب Heart rate variability))
Abstract Many studies have been conducted on heart rate variability. Variability in the heart signal of two sequential beats is called heart rate variability (HRV). Short- and long- term variability reflects autonomic nervous system function, so that increased or decreased heart rate variability (HRV) is an indicator of human health. So, the analysis of these changes can predict sudden death...
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Respiratory Sinus Arrhythmia (RSA) induces cyclic variations, synchronous with respiration, in the RR interval series. Quantification of RSA is important for the correct separation between sympathetic and parasympathetic components of HRV and for the analysis of Autonomic Nervous System (ANS) activity. In this paper we propose a Wavelet packets subband decomposition algorithm for the extraction...
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ژورنال
عنوان ژورنال: Nature Communications
سال: 2013
ISSN: 2041-1723
DOI: 10.1038/ncomms3418