Pulse Pressure Variation Estimation Based on Rank-Order Filters

M. Aboy, J. McNames, T. Thong, C. R. Phillips, M. S. Ellenby, B. Goldstern

Research output: Contribution to journalConference articlepeer-review


We describe a methodology to estimate the pulse pressure variation ΔPp index from the arterial blood pressure (ABP) signal alone. This eliminates the need for simultaneously acquiring and monitoring airway pressure. The technique uses nonlinear rank-order filters to demodulate the respiratory component modulating the ABP signal. Furthermore, we present a simple mathematical model that can be used to generate synthetic arterial pressure signals with similar time, frequency, and variability characteristics to real ABP signals. Preliminary results on synthetic ABP suggest that rank-based estimation of ΔPp may be as accurate as the current methods, which require simultaneous ABP and airway pressure acquisition and monitoring.

Original languageEnglish (US)
Pages (from-to)2435-2438
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
StatePublished - 2003
EventA New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico
Duration: Sep 17 2003Sep 21 2003


  • Cardiac index (CI)
  • Fluid responsiveness
  • Positive end-expiratory pressure (PEEP)
  • Pulse pressure (PP)
  • Pulse pressure variation (ΔPp)
  • Rank-order filters
  • Respiratory changes in systolic pressure
  • Volume expansion (VE)

ASJC Scopus subject areas

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


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