Dynamic modeling of renal blood flow in Dahl hypertensive and normotensive rats.
Research output: Contribution to journal › Journal article › Research › peer-review
A method is proposed in this paper which allows characterization of renal autoregulatory dynamics and efficiency using quantitative mathematical methods. Based on data from rat experiments, where arterial blood pressure and renal blood flow are measured, a quantitative model for renal blood flow dynamics is constructed. The mathematical structure for the dynamics is chosen as a "grey-box model," i.e. the model structure is inspired from physiology, but the actual parameters is found by numerical methods. Based on a number of experiments, features are extracted from the estimated parameters, which describe myogenic responses and tubuloglomerular feedback responses separately. The method is applied to data from normo- and hypertensive Dahl rats, and a discriminator that separates data from normotensive Dahl R rats and hypertensive Dahl S rats is constructed.
Original language | English |
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Journal | IEEE Transactions on Biomedical Engineering |
Volume | 51 |
Issue number | 5 |
Pages (from-to) | 689-97 |
Number of pages | 8 |
ISSN | 0018-9294 |
DOIs | |
Publication status | Published - 2004 |
Bibliographical note
Keywords: Adaptation, Physiological; Animals; Blood Flow Velocity; Blood Pressure; Computer Simulation; Diagnosis, Computer-Assisted; Feedback; Hemostasis; Hypertension, Renal; Kidney; Male; Models, Cardiovascular; Rats; Rats, Inbred Dahl; Reference Values; Renal Artery; Renal Circulation; Reproducibility of Results; Sensitivity and Specificity
ID: 8420177