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      • Department of Electrical and Electronics Engineering
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      Model based analysis of the effects of respiration signal parameters on heart rate variability

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      Author
      Yıldız, M.
      Özbay, Y.
      İder, Yusuf Ziya
      Date
      2006
      Source Title
      Proceedings of the 14th Signal Processing and Communications Applications, IEEE 2006
      Publisher
      IEEE
      Volume
      2006
      Language
      Turkish
      Type
      Conference Paper
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      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) signals
      Model based analysis
      Cardiology
      Computer simulation
      Mathematical models
      Parameter estimation
      Power spectral density
      Respiratory mechanics
      Permalink
      http://hdl.handle.net/11693/27215
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/SIU.2006.1659717
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      • Department of Electrical and Electronics Engineering 3597
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