• DocumentCode
    2378073
  • 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
  • fYear
    1994
  • fDate
    1994
  • Firstpage
    1158
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/IEMBS.1994.415371
  • Filename
    415371