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Nonlinear Modeling of the Dynamic Effects of Arterial Pressure and CO2 Variations on Cerebral Blood Flow in Healthy Humans.
- Source :
- IEEE Transactions on Biomedical Engineering; Nov2004, Vol. 51 Issue 11, p1932-1943, 12p
- Publication Year :
- 2004
-
Abstract
- The effect of spontaneous beat-to-beat mean arterial blood pressure fluctuations and breath-to-breath end-tidal CO<subscript>2</subscript> fluctuations on beat-to-beat cerebral blood flow velocity variations is studied using the Laguerre-Volterra network methodology for multiple-input nonlinear systems. The observations made from experimental measurements from ten healthy human subjects reveal that, whereas pressure fluctuations explain most of the high-frequency blood flow velocity variations (above 0.04 Hz), end-tidal CO<subscript>2</subscript> fluctuations as well as nonlinear interactions between pressure and CO<subscript>2</subscript> have a considerable effect in the lower frequencies (below 0.04 Hz). They also indicate that cerebral autoregulation is strongly nonlinear and dynamic (frequency-dependent). Nonlinearities are mainly active in the low-frequency range (below 0.04 Hz) and are more prominent in the dynamics of the end-tidal CO<subscript>2</subscript>-blood flow velocity relationship. Significant nonstationarities are also revealed by the obtained models, with greater variability evident for the effects of CO<subscript>2</subscript> on blood flow velocity dynamics. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00189294
- Volume :
- 51
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Biomedical Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 14889648
- Full Text :
- https://doi.org/10.1109/TBME.2004.834272