title: Low-order parametric system identification for intrapartum uterine pressure-fetal heart rate interaction.
abstract: For uterine pressure-fetal heart rate data collected during labour and delivery, we first identify the impulse response function (IRF) by least squares. We then use singular value decomposition of this noisy least-squares estimate and an order-reduction search to obtain an improved order estimate compared to that based on the standard minimum-description length (MDL). This ;cleaner' IRF is succinctly parameterized by fitting it with a second-order dynamic model. Using standard hypothesis tests, the model coefficients show statistically significant differences between normal and pathological cases.
authors.affiliation: Biomedical Engineering Department, McGill University, Montreal, Quebec, Canada. philip.warrick@mcgill.ca
authors.forename: Philip A
authors.initials: PA
authors.lastname: Warrick
authors.forename: Robert E
authors.initials: RE
authors.lastname: Kearney
authors.forename: Doina
authors.initials: D
authors.lastname: Precup
authors.forename: Emily F
authors.initials: EF
authors.lastname: Hamilton
mesh_terms: D005260:Female; D006340:Heart Rate, Fetal / Q000502:physiology*; D006801:Humans; D011247:Pregnancy; D011312:Pressure; D018709:Statistics, Nonparametric; D014599:Uterus / Q000502:physiology*