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Showing 1 to 7 of 7 for “"RR intervals"”.

  1. QT-interval adaptation to changes in autonomic balance

    … (HRV). HRV studies the variability of the RR intervals in the ECG; these intervals are modulated by the autonomic influence on the periodicity of the the heart's pacemaker, the sino-atrial node. The autonomic influence at this level is dominated by the parasympathetic nervous system. In …

    mit Repository record for QT-interval adaptation to changes in autonomic balance (opens in a new tab)

  2. Quantification of regularity in RR-interval time series using approximate entropy, sample entropy, and multi-scale entropy

    … the ability of these measures to distinguish the RR-interval time series of normal subjects (NSR) from subjects with congestive heart failure (CHF). The study was conducted on the RR-interval data of 44 NSR subjects and 18 CHF subjects. In addition to this, entropy measures of three apparently …

    njit Repository record for Quantification of regularity in RR-interval time series using approximate entropy, sample entropy, and multi-scale entropy (opens in a new tab)

  3. Effect of Moderate Versus High-Intensity Interval Exercise Training on Heart Rate Variability Parameters in Inactive Latin-American Adults: A Randomised Clinical Trial

    … SDNN, standard deviation of normal-to-normal intervals; rMSSD, Root mean square successive difference of RR intervals and frequency domain: HFLn, high-frequency spectral power; LF, low-frequency spectral power and HF/LF ratio) were measured at baseline and 12 weeks thereafter. The SDNN changes …

    rosario Repository record for Effect of Moderate Versus High-Intensity Interval Exercise Training on Heart Rate Variability Parameters in Inactive Latin-American Adults: A Randomised Clinical Trial (opens in a new tab)

  4. Machine learning classifiers for critical cardiac conditions

    … one of the leading causes of death in Canada. Current methods of diagnosing cardiac conditions require a manual and visual analysis of ECG and heart rate (RR interval) data. In this thesis, novel features and machine learning classifiers are developed for automating the detection of Congestive …

    uoit Repository record for Machine learning classifiers for critical cardiac conditions (opens in a new tab)

  5. A Normal-Mixture Model with Random-Effects for RR-Interval Data

    … al., 2002). For each of the tasks, a series of RR-intervals was collected during baseline, preparation, and delivery periods. Information about their age and gender were also available. The random-effects mixture model presented in this dissertation treats the subjects as random and models age, …

    vcu Repository record for A Normal-Mixture Model with Random-Effects for RR-Interval Data (opens in a new tab)

  6. The Reproducibility of Short verses Long-Duration Heart Rate Variability Methods and Relations to Aerobic Fitness in Normal Adults

    … measuring variations in electrocardiographic R-R intervals between cardiac cycles. HRV was first used to associate decreases in autonomic nervous system (ANS) control with an increased risk of mortality in coronary heart disease and in the diagnosis of diabetes (1). Current clinical research …

    vt Repository record for The Reproducibility of Short verses Long-Duration Heart Rate Variability Methods and Relations to Aerobic Fitness in Normal Adults (opens in a new tab)

  7. Měření HRV a posouzení vlivu zátěže

    Práce se zabývá vlivem zátěže na variabilitu srdeční frekvence, popisem mechanismů, ovlivnění změn tepu, reakcí na zátěž. Je zde zpracován přehled metod, používaných pro hodnocení variability srdeční frekvence. V další části jsou zpracována získaná data a je popsána navržená metoda pomocí …

    brno-tech Repository record for Měření HRV a posouzení vlivu zátěže (opens in a new tab)