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Parametric characteristics obtained by least-squares fitting and descriptive statistics of within-a-day variability in blood pressure and heart rate for 150 neonates are here used for classification according to a cardiovascular risk score by the use of an all-subsets variable selection technique for discriminant analysis, specifically designed for biomedical applications. Results provide a set of...
Predictable changes with several frequencies and trends are here quantified by least-squares fitting in blood pressure and heart rate automatically monitored throughout two consecutive pregnancies of a clinically healthy woman. This complex time-structure of blood pressure offers new endpoints as reference standards for an early identification of gestational hypertension or even pre-eclampsia.1
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