Title :
Predictable time structure of cardiovascular characteristics in human pregnancy
Author :
Ayala, D.E. ; Hermida, R.C. ; Mojón, A. ; Iglesias, M. ; Halberg, F.
Author_Institution :
ETSI Telecomunicacion, Vigo Univ., Spain
Abstract :
A predictable time structure is here quantified by least-squares fitting and polynomial regression in parameters of blood pressure automatically monitored throughout pregnancy in 156 healthy women as well as in 79 women with gestational hypertension or preeclampsia. The results suggest new endpoints to be used for an early identification of gestational hypertension or even preeclampsia
Keywords :
cardiology; blood pressure parameters; cardiovascular characteristics; gestational hypertension; healthy women; human pregnancy; least-squares fitting; polynomial regression; predictable time structure; preeclampsia; Biomedical monitoring; Blood pressure; Cardiology; Chronobiology; Heart rate; Hypertension; Particle measurements; Polynomials; Pregnancy; Regression analysis;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.415371
