• Conf Proc IEEE Eng Med Biol Soc · Jan 2009

    Pulse pressure variation estimation using a sequential Monte Carlo method.

    • Sunghan Kim, Mateo Aboy, and James McNames.
    • Biomedical Signal Processing Laboratory at Portland State University, Oregon, USA. sunghan@pdx.edu
    • Conf Proc IEEE Eng Med Biol Soc. 2009 Jan 1; 2009: 5713-6.

    AbstractWe describe a novel automatic algorithm to continuously estimate the pulse pressure variation (PPV) index from arterial blood pressure (ABP) signals. The algorithm utilizes our recently developed sequential Monte Carlo method (SMCM) based on a maximum A-Posterior adaptive marginalized particle filter (MAM-PF). The PPV index is one of most specific and sensitive dynamic indicators of fluid responsiveness in mechanically ventilated patients. We report the assessment results of the proposed algorithm on real ABP signals.

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