Heart rate variability: are there complex patterns?
نویسندگان
چکیده
منابع مشابه
Heart rate variability: are there complex patterns?
Common wisdom dictates that the variability in biological systems contributes to their adaptability in the face of uncertainty in the environment, and that it is only the lifeless that do not express at least some form of variability. In fact, rhythmic oscillations at various time-scales, ranging from minutes to days, are ubiquitous in biological systems (Rapp, 1987). Thus, in biological scienc...
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...
متن کاملCircadian Patterns of Heart Rate Turbulence, Heart Rate Variability and Their Relationship
BACKGROUND Heart rate variability (HRV) is an established tool for studying cardiac autonomic activity over time, while heart rate turbulence (HRT) is a recent method used to assess autonomic dysfunction. However, there are different autonomic tones at different times of a day. This study aimed to examine the effect of circadian change of autonomic tone on heart rate turbulence and variability,...
متن کاملA Novel Fuzzy Based Method for Heart Rate Variability Prediction
Abstract In this paper, a novel technique based on fuzzy method is presented for chaotic nonlinear time series prediction. Fuzzy approach with the gradient learning algorithm and methods constitutes the main components of this method. This learning process in this method is similar to conventional gradient descent learning process, except that the input patterns and parameters are stored in mem...
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ژورنال
عنوان ژورنال: Frontiers in Physiology
سال: 2013
ISSN: 1664-042X
DOI: 10.3389/fphys.2013.00165