Abstract
In this paper we investigate the influence of vagal blockage on heart rate variability complexity measures. Nine conscious rats are injected with methyl-scopolamine brobide (50 μg/kg s.c.). We analyze 10 minute segments of beat-to-beat intervals before and after injection by standard time and frequency domain methods, compression entropy, sample entropy, Poincaré plot, detrended fluctuation analysis and symbolic dynamics. All parameter domains show changes in heart rate variability after vagal blockade, indicating a decrease in heart rate complexity. In conclusion, vagal modulation plays an important role in the generation of heart complexity in rats or, in other words, heart rate complexity measures are sensitive to vagal heart rate modulation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kleiger RE, Miller JP, Bigger JT et al. (1987) Decreased heart rate variability and its association with increased mortality after acute myocardial infarction. Am J Cardiol 59:256–262
Vinik AI, Maser RE, Mitchel BD et al. (2003) Diabetic autonomic neuropathy. Diabetes Care 26:1553–1579
Baumert M, Brechtel L, Lock J et al (2006) Heart Rate Variability, Blood Pressure Variability, and Baroreflex Sensitivity in Overtrained Athletes. Clin J Sport Med 16:412–417
Lake DE, Richman JS, Griffin MP et al. (2002) Sample entropy analysis of neonatal heart rate variability. Am J Physiol Regul Inter Comp Physiol 283:R789-R797
Task Force of the European Society for Cardiology and the North American Society of Pacing and Electrophysiology (1996) Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. 17:354–381
Voss A, Kurths J, Kleiner HJ et al. (1996) The application of methods of nonlinear dynamics for the improved and predictive recognition of patients threatened by sudden cardiac death. 31:419–433
Peng CK, Havlin S, Stanley HE et al (1996) Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. Chaos 5:82–87
Baumert M, Baier V, Haueisen J et al. (2004) Forecasting of Life Threatening Arrhythmias Using the Compression Entropy of Heart Rate. Methods Inf Med 43:202–206
Brennan M, Palaniswami M, Kamen P (2001) Do existing measures of Poincaré plot geometry reflect nonlinear features of heart rate variability? IEEE Trans Biomed Eng 48:1342–1347
Ziv J, Lempel A (1977) A universal algorithm for sequential data compression. IEEE Trans Inf Theory 23:337–343
Baumert M, Brechtel LM, Lock J et al. (2006) Scaling graphs of heart rate time series in athletes demonstrating the VLF, LF and HF regions. Physiol Meas 27:N35-N39
Japundzic N, Grichois ML, Zitoun P et al. (1991) Spectral analysis of blood pressure and heart rate in conscious rats: effects of autonomic blockers. J Auton Nerv Syst 30:91–100
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Baumert, M., Nalivaiko, E., Abbott, D. (2007). Effects of vagal blockade on the complexity of heart rate variability in rats. In: Jarm, T., Kramar, P., Zupanic, A. (eds) 11th Mediterranean Conference on Medical and Biomedical Engineering and Computing 2007. IFMBE Proceedings, vol 16. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73044-6_8
Download citation
DOI: https://doi.org/10.1007/978-3-540-73044-6_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73043-9
Online ISBN: 978-3-540-73044-6
eBook Packages: EngineeringEngineering (R0)