Relationships between chronic hyperinsulinemia, heart rate variability.
نویسندگان
چکیده
منابع مشابه
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...
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 کاملRelationship between heart rate variability and hypercholesterolaemia.
A statistically significant correlation between chronic (tonic) distress (expressed by long-term depression of heart rate variability-HRV) and the increase of the serum lipid level was found in the experimental group (39 clinically healthy subjects with hypercholesterolaemia; 16 women and 23 men; mean age 42.4 +/- 2.45 years). A statistically significant relationship was found also between the ...
متن کاملVariable effects of physical training of heart rate variability, heart rate recovery, and heart rate turbulence in chronic heart failure.
BACKGROUND Heart rate variability (HRV), heart rate turbulence (HRT), and heart rate recovery (HRR), indices that reflect autonomic nervous system (ANS) activity, are outcome predictors in patients with chronic heart failure (CHF). It is not clear, however, whether they reflect the same components of ANS activity. No study has examined the effects of physical training (PT) training on HRV, HRT,...
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: American Journal of Hypertension
سال: 1999
ISSN: 0895-7061
DOI: 10.1016/s0895-7061(99)80240-4