Dynamic Modeling of Renal Blood Flow in Dahl Hypertensive and Normotensive Rats

Torben Knudsen; H. Elmer; Morten Knudsen; N.H. Holstein-Rathlou; Jakob Stoustrup

doi:10.1109/TBME.2004.826593

Dynamic Modeling of Renal Blood Flow in Dahl Hypertensive and Normotensive Rats

Torben Knudsen, H. Elmer, Morten Knudsen, N.H. Holstein-Rathlou, Jakob Stoustrup

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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Abstract

A method is proposed in this paper which allows characterisation 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 extimated 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.
Udgivelsesdato: MAY

Originalsprog	Dansk
Tidsskrift	IEEE Transactions on Biomedical Engineering
Vol/bind	51
Udgave nummer	5
Sider (fra-til)	689-697
ISSN	0018-9294
DOI	https://doi.org/10.1109/TBME.2004.826593
Status	Udgivet - 2004

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10.1109/TBME.2004.826593

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title = "Dynamic Modeling of Renal Blood Flow in Dahl Hypertensive and Normotensive Rats",

abstract = "A method is proposed in this paper which allows characterisation 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 extimated 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. Udgivelsesdato: MAY",

author = "Torben Knudsen and H. Elmer and Morten Knudsen and N.H. Holstein-Rathlou and Jakob Stoustrup",

year = "2004",

doi = "10.1109/TBME.2004.826593",

language = "Dansk",

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T1 - Dynamic Modeling of Renal Blood Flow in Dahl Hypertensive and Normotensive Rats

AU - Knudsen, Torben

AU - Elmer, H.

AU - Knudsen, Morten

AU - Holstein-Rathlou, N.H.

AU - Stoustrup, Jakob

PY - 2004

Y1 - 2004

N2 - A method is proposed in this paper which allows characterisation 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 extimated 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. Udgivelsesdato: MAY

AB - A method is proposed in this paper which allows characterisation 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 extimated 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. Udgivelsesdato: MAY

U2 - 10.1109/TBME.2004.826593

DO - 10.1109/TBME.2004.826593

M3 - Tidsskriftartikel

SN - 0018-9294

VL - 51

SP - 689

EP - 697

JO - IEEE Transactions on Biomedical Engineering

JF - IEEE Transactions on Biomedical Engineering

IS - 5

ER -