Data-driven modelling of pelvic floor muscles dynamics

Steffi Knorn, Damiano Varagnolo, Ernesto Oliver-Chiva, Reinhilde Melles, Marieke Dewitte

Research output: Contribution to journalSpecial issueAcademicpeer-review


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.
Original languageEnglish
Pages (from-to)321-326
Number of pages6
Issue number27
Publication statusPublished - Dec 2018
Event10th IFAC Symposium on Biological and Medical Systems - São Paulo, Brazil
Duration: 3 Sept 20185 Sept 2018
Conference number: BMS 2018


  • black box
  • female sexual dysfunction
  • nonlinear models
  • system identification

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