Clinical relevance of heart rate variability

تغییرپذیری 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...

تغییرپذیری 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...

Heart rate variability and clinical cardiology.

A 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...

Heart rate contribution to the clinical value of heart rate variability.

Copyright © Polskie Towarzystwo Kardiologiczne higher fluctuations of R-R intervals for the slow average HR than for the fast one. Moreover, the fluctuations of R-R intervals for fast HR may not be as high as for slow HR because the R-R intervals should have become negative (Fig. 1) [13–15, 17–20]. Due to these facts, standard HRV analysis may be mathematically biased, particularly if patients ...