Model based analysis of the effects of respiration signal parameters on heart rate variability
Author
Yıldız, M.
Özbay, Y.
İder, Yusuf Ziya
Date
2006Source Title
Proceedings of the 14th Signal Processing and Communications Applications, IEEE 2006
Publisher
IEEE
Volume
2006
Language
Turkish
Type
Conference PaperItem Usage Stats
171
views
views
211
downloads
downloads
Abstract
In this study, Ursino and Magosso model that includes respiration effect on cardiovascular system is implemented using Matlab. The simulations are performed to investigate the effects of respiration rate, tidal volume and expiration-inspiration time ratio on Heart Rate Variability (HRV) signals. Power Spectral Density (PSD) of HRV signals that are obtained from model simulation was determined by Periodogram and Yule-Walker methods. There is not a significant difference between the PSDs, obtained by the two methods. The simulation results that are obtained by changing respiration rate and tidal volume, are consistent with previous experimental studies reported in the literature. However the model does not include a mechanism that accounts for the effect on HRV of the rate of change of lung volume. This is conjectured to be the reason for why model results and experimental observations are not in complete conformity when the effect of inspiration-expiration time ratio on HRV is studied.
Keywords
Heart Rate Variability (HRV) signalsModel based analysis
Cardiology
Computer simulation
Mathematical models
Parameter estimation
Power spectral density
Respiratory mechanics