MURAL - Maynooth University Research Archive Library



    A 5-component model for salt-induced hypertension


    McLoone, Violeta I. and Ringwood, John and Van Vliet, Bruce (2009) A 5-component model for salt-induced hypertension. 7th IFAC Symposium on Modelling and Control in Biomedical Systems, ISBN: 978-3-902661-49-4. pp. 175-180.

    [img] Download (550kB)


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    Salt-induced hypertension has been widely studied in rats, monkeys, chimpanzees and humans. Until recently, the multiple phases of this blood pressure increase to high salt intake had not been closely studied. This work builds upon a recent study, which developed a grey-box multicomponent model of salt-induced hypertension in the Dahl-S rat. The previous 3-component model has been extended here to include additional model dynamics to improve the model fit and add new important elements to the model response. The model was optimised using numerical techniques with experimental data from 4 different protocols with Dahl-S and hybrid rats. Results show a marked improvement over the previous model and confirm the merit of the 5-component model structure.

    Item Type: Article
    Keywords: hypertension; mathematical model; salt intake; multiple components; Dahl-S;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 2128
    Depositing User: Professor John Ringwood
    Date Deposited: 22 Sep 2010 15:36
    Journal or Publication Title: 7th IFAC Symposium on Modelling and Control in Biomedical Systems, ISBN: 978-3-902661-49-4
    Publisher: International Federation of Automatic Control
    Refereed: Yes
    URI:
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads