Data-driven modelling of pelvic floor muscles dynamicsShow others and affiliations
2018 (English)In: IFAC-PapersOnLine, E-ISSN 2405-8963, Vol. 51, no 27, p. 321-326Article in journal (Refereed) Published
Abstract [en]
This paper proposes individualized, dynamical and data-driven models that describe pelvic floor muscle responses in women that use vaginal dilation. Specifically, the models describe how the volume of an inflatable balloon inserted at the vaginal introitus dynamically affects the aggregated pressure exerted by the pelvic floor muscles of the person. The paper inspects the approximation capabilities of different model structures, such as Hammerstein-Wiener and NARX, for this specific application, and finds the specific model structures and orders that best describe the recorded measurement data. Hence, although the current dataset is drawn from a sample of healthy volunteers, this paper is an initial step towards better understanding women’s responses to vaginal dilation and facilitating individualised medical vaginal dilation treatment.
Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 51, no 27, p. 321-326
Keywords [en]
female sexual dysfunction, black box, nonlinear models, system identification
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-72983DOI: 10.1016/j.ifacol.2018.11.621Scopus ID: 2-s2.0-85057644487OAI: oai:DiVA.org:ltu-72983DiVA, id: diva2:1290895
Note
Konferensartikel i tidskrift
2019-02-212019-02-212022-09-15Bibliographically approved