MURAL - Maynooth University Research Archive Library



    A system identification approach to baroreflex sensitivity estimation


    McLoone, Violeta I. and Ringwood, John (2012) A system identification approach to baroreflex sensitivity estimation. Proceedings of the Irish Signals and Systems Conference.

    [img]
    Preview
    Download (418kB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    The body contains a bewildering array of regulatory systems which maintain homeostasis. There is considerable difficulty in isolating a single control loop for analysis, due to the interactions with other systems/loops. One important such regulatory loop is the baroreflex, and baroreflex sensitivity is a characteristic open-loop parameter which can help us to assess the health of the baroreflex. A diverse range of methods have been proposed to determine baroreflex sensitivity from experimental data. Unfortunately, there appears to be little consistency of result among the different methods and some explanation can be found in the nature of the problem: In most cases, an attempt is being made to determine open-loop measures from a system operating in closed-loop, subject to poor excitation. In this paper we propose a strict procedure, based on a rigourous mathematical framework, from which reliable estimates of baroreflex sensitivity can be obtained. A comparison with other methods for baroreflex sensitivity estimation, using the EuroBaVar data set, is performed.

    Item Type: Article
    Keywords: Baroreflex sensitivity; system identification;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 6866
    Depositing User: Professor John Ringwood
    Date Deposited: 19 Jan 2016 16:47
    Journal or Publication Title: Proceedings of the Irish Signals and Systems Conference
    Publisher: ISSC
    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