Multivariate parametric model for the identification of diastolic pressure and pulse pressure components.

Federico Aletti, Giuseppe Baselli, Tito Bassani, Daniela Lucini, Massimo Pagani

Research output: Contribution to journalArticlepeer-review

Abstract

Arterial pressure variability is a relatively unexplored topic among the various and detailed studies of cardiovascular variability. A deeper analysis of components and contributions carried by diastolic and pulse pressure may provide a unique insight on the potential systemic effects due to vasomotor activity and response at the level of microcirculation, whose dynamics are either driven by neural and vascular modulations. The aim of the present work is to develop a multivariate parametric model for the identification of the main components of diastolic and pulse pressure in order to investigate all the potential correlations between systemic arterial pressure variability and peripheral sources of oscillations and to analyze their interactions with the most known mechanisms of cardiovascular regulation.

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

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