Author : Barjinder Singh Saini 1
Date of Publication :20th June 2016
Abstract: In this paper, the coupling between heart rate variability (HRV) and systolic blood pressure variability is analyzed using a non-linear measure called phase synchronization index (PSI). 20 healthy subjects alongwith 20 post myocardial patients undergong postural stress were used for analysis. The results were validated on standard EuroBaVar dataset. Results demonstrate that i) for healthy subjects PSI in the low frequency (LF) range i.e. (0.04-0.15) Hz is greater than PSI in the high frequency (HF) range i.e. (0.151-0.4) Hz in the lying position. ii) LF-PSI is less than HF-PSI in the standing position ii) for post AMI patients, LFPSI is greater than HF-PSI irrespective of the change in posture. In conclusion, it is found that there is a coupling between HRV and SBPV that varies in the LF and HF regions. This coupling changes with a change in the posture from lying to standing due to change in the autonomous drive occurring due to predominance of vagal over the sympathetic drive. This change is suppressed in the post AMI patients due to possible inactivity of the Baroreflex control
Reference :
-
- E. N. Bruce, Biomedical Signal Processing and Signal Modeling. New York: John Wiley and Sons, 2001.
- Rangayyan, Biomedical Signal Analysis: A Case-Study Approach. New York: IEEE Press, 2002.
- J. B. Bassingthwaighte, H. J. Chizeck, and L. E. Atlas, “Strategies and tactics in multiscale modeling of cell-toorgan systems,” Proceedings of the IEEE, vol. 94, no. 4, pp. 819–831, 2006.
- S. Cerutti, D. Hoyer, and A. Voss, “Multiscale, multiorgan and multivariate complexity analyses of cardio-vascular regulation,” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 367, pp. 1337–1358, 2009.
- K. K. Deepak, and A. Jaryal, “Clinical implications of heart rate variability,” Proceedings of Theme meeting on Advanced Applications of Physiological Variability (AAPV), India, pp. 73-82, 2010
- A. Bahraminasab, D. Kenwright, A Stefanovska, and P.V.E. McClintock, “Phase coupling in the cardiorespiratory interaction,” IET Systems Biology, vol. 2, no.1, pp. 48-54, 2008.
- K. Kotani, K. Takamasu, Y. Ashkenazy, H.E. Stanley, and Y. Yamamoto, “Model for cardiorespiratory synchronization in humans,” Physical Review E: Statistical, Nonlinear and Soft Matter Physics, vol. 65, no. 5, pp. 1-9, 2002
- D. Singh, K. Vinod, S. C. Saxena, and K. K. Deepak, “Spectral evaluation of aging effects on blood pressure and heart rate variations in healthy subjects,” Journal of Medical Engineering and Technology (UK), vol. 30(3), pp. 145-150, 2006.
- D. Laude, J. Elghozi, A. Girard, E. Bellard, M. Bouhaddi, P. Castiglioni, C. Cerutti, A. Cividjian, M. Di Rienzo, J. O. Fortrat, B. Janssen, J. M. Karemaker, G. Lefthériotis, G. Parati, P. B. Persson, A. Porta, L. Quintin, J. Regnard, H. Rüdiger, and H. M. Stauss, “Comparison of various techniques used to estimate spontaneous baroreflex sensitivity (the EuroBaVar study),” American Journal of Physiology, Regulatory, Integrative and Comparative Physiology, vol. 286, pp. R226-R231, 2004.
- B. E. Westerhof, J. Gisolf, W. J. Stok, K. H. Wesseling, and J. M. Karemaker, “Time-domain cross-correlation baroreflex sensitivity: Performance on the EuroBaVar data set,” Journal of Hypertension, vol. 22, pp.1371– 1380, 2004.