Evaluation of neural cardiovascular control through dynamic analysis of 24 hour blood pressure and heart rate

Gianfranco Parati, Paolo Castiglioni, Stefano Omboni, Marco Di Rienzo, Antonio Pedotti, Giuseppe Mancia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Beat-to-beat computer analysis of 24-h blood pressure and heart rate variability has shown that: (1) central neural influences are among the major determinants of the changes in blood pressure and heart rate over the 24 h; (2) blood pressure and heart rate variabilities are influenced by arterial baroreceptor reflexes; and (3) Neural influences on the cardiovascular system are among the determinants of the rhythmic components of blood pressure and heart rate fluctuations whose frequency ranges between 0.035 and 0.35 Hz. The analysis was performed through a global assessment of blood pressure variability, as provided by the standard deviation of the mean blood pressure value, and through the identification of different components of variability phenomena. The latter include both transient changes and rhythmic oscillations which are known to occur over a 24-h time period.

Original languageEnglish
Title of host publicationProceedings of the Annual Conference on Engineering in Medicine and Biology
PublisherPubl by IEEE
Pages698-699
Number of pages2
Editionpt 2
ISBN (Print)0879425598
Publication statusPublished - 1990
EventProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Philadelphia, PA, USA
Duration: Nov 1 1990Nov 4 1990

Other

OtherProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityPhiladelphia, PA, USA
Period11/1/9011/4/90

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ASJC Scopus subject areas

  • Bioengineering

Cite this

Parati, G., Castiglioni, P., Omboni, S., Di Rienzo, M., Pedotti, A., & Mancia, G. (1990). Evaluation of neural cardiovascular control through dynamic analysis of 24 hour blood pressure and heart rate. In Proceedings of the Annual Conference on Engineering in Medicine and Biology (pt 2 ed., pp. 698-699). Publ by IEEE.