Literature DB >> 14638312

Parametric description of cardiac vagal control.

Erez Pyetan1, Eran Toledo, Oren Zoran, Solange Akselrod.   

Abstract

Heart rate variability (HRV) indices that reflect the magnitude of respiratory sinus arrhythmia (RSA) are commonly applied as non-invasive measures of cardiac vagal control. Recently, however, serious doubts have been raised about the accuracy and validity of such assessments. To evaluate these methods, we derived a theoretical model for the dependence of mean heart rate and RSA on gradual vagal blockade by atropine, and compared its predictions to actual experimental results. The experiment involved the injection of nine consecutive intravenous bolus doses of atropine to eight young healthy male subjects. Seven-minute recordings of ECG and respiration were made for each atropine dose. The heart rate (HR) signal was derived from the ECG recording, and mean heart rate and the power of the high frequency peak of HRV (which measures the magnitude of RSA) were computed. The experimental data were fitted to the model's equations, and optimal values were obtained for the model's parameters. A tight agreement is observed between the theoretical fitted curves and the experimental data. The parameters that were computed from fitting the experimental data to the mean heart rate equation display a surprisingly small variance among the different subjects. The parameters that were computed from fitting the experimental data to the RSA equation, and the resulting shape of these fitted curves, explain many of the conflicting results previously published, and provide a new quantitative insight to cardiac vagal activity.

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Year:  2003        PMID: 14638312     DOI: 10.1016/j.autneu.2003.08.001

Source DB:  PubMed          Journal:  Auton Neurosci        ISSN: 1566-0702            Impact factor:   3.145


  5 in total

1.  Efficient and cost-effective estimation of the influence of respiratory variables on respiratory sinus arrhythmia.

Authors:  Victoria B Egizio; Michael Eddy; Matthew Robinson; J Richard Jennings
Journal:  Psychophysiology       Date:  2010-08-16       Impact factor: 4.016

2.  Deep breathing heart rate variability is associated with respiratory muscle weakness in patients with chronic obstructive pulmonary disease.

Authors:  Michel Silva Reis; Ross Arena; Ana Paula Deus; Rodrigo Polaquini Simões; Aparecida Maria Catai; Audrey Borghi-Silva
Journal:  Clinics (Sao Paulo)       Date:  2010-04       Impact factor: 2.365

3.  Stress recovery during exposure to nature sound and environmental noise.

Authors:  Jesper J Alvarsson; Stefan Wiens; Mats E Nilsson
Journal:  Int J Environ Res Public Health       Date:  2010-03-11       Impact factor: 3.390

4.  Structural correlation method for model reduction and practical estimation of patient specific parameters illustrated on heart rate regulation.

Authors:  Johnny T Ottesen; Jesper Mehlsen; Mette S Olufsen
Journal:  Math Biosci       Date:  2014-07-19       Impact factor: 2.144

Review 5.  Should heart rate variability be "corrected" for heart rate? Biological, quantitative, and interpretive considerations.

Authors:  Eco J C de Geus; Peter J Gianaros; Ryan C Brindle; J Richard Jennings; Gary G Berntson
Journal:  Psychophysiology       Date:  2018-10-25       Impact factor: 4.016

  5 in total

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