Literature DB >> 8044922

Heart rate variability as a prognostic tool in cardiology. A contribution to the problem from a theoretical point of view.

M Moser1, M Lehofer, A Sedminek, M Lux, H G Zapotoczky, T Kenner, A Noordergraaf.   

Abstract

BACKGROUND: Recent clinical studies have proposed standard deviation of heart rate as a diagnostic tool for the outcome of cardiac infarction. Mathematical analysis of heart rate variability shows that heart rate is influenced by different frequency components derived from different parts of the autonomous nervous system. In the experimental part of this study, we investigated the possibility of calculating a variable describing the parasympathetic branch of the autonomous nervous system exclusively. METHODS AND
RESULTS: In 60 healthy volunteers, heart rate was measured to 1 millisecond during two different conditions: 5 minutes of rest, and 5 minutes of intermittent handgrip dynamometry; the latter is known to increase sympathetic arousal selectively. Heart rate was found to be lower at rest (65.9 +/- 9.7 beats per minute) than during dynamometry (72.8 +/- 10.4 beats per minute, P < .001). Respiratory sinus arrhythmia (RSA) calculated from the mean absolute differences between successive heart beats showed no significant change (3.01 +/- 1.62 beats per minute at rest versus 2.97 +/- 1.30 beats per minute during dynamometry). In contrast, standard deviation increased from 5.19 +/- 1.98 to 9.22 +/- 3.56 beats per minute (P < .001).
CONCLUSIONS: It can be concluded from these data as well as from other plots presented in this article that RSA is a measure of the parasympathetic vagal tone, whereas standard deviation is increased by both sympathetic and parasympathetic arousal. Clinical evidence and data from physiological experiments are presented to show that a selective measure of vagal tone like RSA may offer advantages over standard deviation as a prognostic tool in cardiology.

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Year:  1994        PMID: 8044922     DOI: 10.1161/01.cir.90.2.1078

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  22 in total

1.  Very low frequency variability in arterial blood pressure and blood volume pulse.

Authors:  M Nitzan; A Babchenko; B Khanokh
Journal:  Med Biol Eng Comput       Date:  1999-01       Impact factor: 2.602

2.  Influence of thoracic sympathectomy on cardiac induced oscillations in tissue blood volume.

Authors:  M Nitzan; A Babchenko; D Shemesh; J Alberton
Journal:  Med Biol Eng Comput       Date:  2001-09       Impact factor: 2.602

3.  Sympathetically induced spontaneous fluctuations of the photoplethysmographic signal.

Authors:  B Khanokh; Y Slovik; D Landau; M Nitzan
Journal:  Med Biol Eng Comput       Date:  2004-01       Impact factor: 2.602

4.  Short-term effects of pulsed electromagnetic fields after physical exercise are dependent on autonomic tone before exposure.

Authors:  V Grote; H Lackner; C Kelz; M Trapp; F Aichinger; H Puff; M Moser
Journal:  Eur J Appl Physiol       Date:  2007-08-03       Impact factor: 3.078

5.  Vegetative function diagnosis for early detection of lead intoxication.

Authors:  E Pfister; I Böckelmann; T Ferl
Journal:  Int Arch Occup Environ Health       Date:  1996       Impact factor: 3.015

6.  Patient-Specific Classification of ICU Sedation Levels From Heart Rate Variability.

Authors:  Sunil B Nagaraj; Siddharth Biswal; Emily J Boyle; David W Zhou; Lauren M McClain; Ednan K Bajwa; Sadeq A Quraishi; Oluwaseun Akeju; Riccardo Barbieri; Patrick L Purdon; M Brandon Westover
Journal:  Crit Care Med       Date:  2017-07       Impact factor: 7.598

Review 7.  Heart rate variability indices for very short-term (30 beat) analysis. Part 1: survey and toolbox.

Authors:  Anne-Louise Smith; Harry Owen; Karen J Reynolds
Journal:  J Clin Monit Comput       Date:  2013-05-15       Impact factor: 2.502

8.  Correlation between the motility of the proximal antrum and the high-frequency power of heart rate variability in freely moving rats.

Authors:  Alissa L Meister; Yanyan Jiang; Kim K Doheny; R Alberto Travagli
Journal:  Neurogastroenterol Motil       Date:  2019-05-22       Impact factor: 3.598

9.  Dynamical disentanglement in an analysis of oscillatory systems: an application to respiratory sinus arrhythmia.

Authors:  M Rosenblum; M Frühwirth; M Moser; A Pikovsky
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2019-10-28       Impact factor: 4.226

10.  Cardiorespiratory phase-coupling is reduced in patients with obstructive sleep apnea.

Authors:  Muammar M Kabir; Hany Dimitri; Prashanthan Sanders; Ral Antic; Eugene Nalivaiko; Derek Abbott; Mathias Baumert
Journal:  PLoS One       Date:  2010-05-13       Impact factor: 3.240

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