Data-driven models of pelvic floor muscles dynamics subject to psychological and physiological stimuli

• Published in: IFAC Journal of Systems and Control Vol. 8; p. 100044
• Main Authors: Knorn, Steffi, Varagnolo, Damiano, Melles, Reinhilde, Dewitte, Marieke
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 30.06.2019
• Subjects: Black box; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling; Female sexual dysfunction; Nonlinear models; System identification; Female sexual dysfunction; Black box; Nonlinear models; System identification

This 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 psychologica...