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dc.contributor.authorKnorn, Steffi
dc.contributor.authorVaragnolo, Damiano
dc.contributor.authorDewitte, Marieke
dc.contributor.authorMelles, Reinhilde
dc.date.accessioned2020-02-04T12:20:17Z
dc.date.available2020-02-04T12:20:17Z
dc.date.created2020-01-19T15:30:40Z
dc.date.issued2019
dc.identifier.citationIFAC journal of systems and control. 2019, 8 (30), .nb_NO
dc.identifier.issn2468-6018
dc.identifier.urihttp://hdl.handle.net/11250/2639558
dc.description.abstractThis paper proposes individualized, dynamical and data-driven models to describe pelvic floor muscle responses in women undergoing vaginal dilation. Specifically, the models describe how the aggregated pressure exerted by the pelvic floor muscles of women change due to physiological and psychological stimuli. Specifically, women experienced inflation of a balloon at the vaginal introitus while watching different short movies such as with or without sexual content. 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. Moreover, the manuscript explores the trade-offs between individualization and averaging of models. More precisely it numerically assesses how models obtained by assuming that each individual has the same response can be used to simulate the responses of different patients. 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 sexual/nonsexual videos and facilitating individualized medical vaginal dilation treatment.nb_NO
dc.language.isoengnb_NO
dc.publisherInternational Federation of Automatic Control (IFAC)nb_NO
dc.titleData-driven models of pelvic floor muscles dynamics subject to psychological and physiological stimulinb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber11nb_NO
dc.source.volume8nb_NO
dc.source.journalIFAC journal of systems and controlnb_NO
dc.source.issue30nb_NO
dc.identifier.doi10.1016/j.ifacsc.2019.100044
dc.identifier.cristin1776763
dc.description.localcode© 2019 Elsevier Ltd. All rights reserved.nb_NO
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextpreprint


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