A novel algorithm to estimate the pulse pressure variation index ΔPP

Mateo Aboy, James McNames, Tran Thong, Charles R. Phillips, Miles S. Ellenby, Brahm Goldstein

Research output: Contribution to journalArticle

50 Scopus citations

Abstract

We designed a new methodology to estimate the pulse pressure variation index (ΔPP) in arterial blood pressure (ABP). The method uses automatic detection P-algorithms, kernel smoothing, and rank-order filters to continuously estimate ΔPP. The technique can be used to estimate to ΔPP from ABP alone, eliminating the need for simultaneously acquiring airway pressure.

Original languageEnglish (US)
Pages (from-to)2198-2203
Number of pages6
JournalIEEE Transactions on Biomedical Engineering
Volume51
Issue number12
DOIs
StatePublished - Dec 1 2004

Keywords

  • Cardiac index (CI)
  • Fluid responsive pressure variation (ΔPP)
  • Respiratory changes in systolic pressure
  • Volume expansion (VE)

ASJC Scopus subject areas

  • Biomedical Engineering

Fingerprint Dive into the research topics of 'A novel algorithm to estimate the pulse pressure variation index ΔPP'. Together they form a unique fingerprint.

  • Cite this