文章基本信息

标题：Data-driven modelling of pelvic floor muscles dynamics
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作者：Steffi Knorn ; Damiano Varagnolo ; Ernesto Oliver-Chiva 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：27
页码：321-326
DOI：10.1016/j.ifacol.2018.11.621
语种：English
出版社：Elsevier
摘要：AbstractThis 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.
关键词：Keywordsfemale sexual dysfunctionblack boxnonlinear modelssystem identification