ArticleBiomedical signal processing and control2020
A robust Fourier-based method to measure pulse pressure variability.
Article in Biomedical signal processing and control, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Association of Dynamic Arterial Elastance With Fluid Responsiveness in Critically Ill Children.Critical care explorations · 2025Observational
- Automated prediction of cardiorespiratory deterioration in patients with single-ventricle parallel circulation: A multicenter validation study.JTCVS open · 2023Article
- Novel Method of Calculating Pulse Pressure Variation to Predict Fluid Responsiveness to Transfusion in Very Low Birth Weight Infants.The Journal of pediatrics · 2021Article
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Authors and funding
6 authors.
Funding
Abstract
objectiveTo propose a new method to estimate pulse pressure variability (PPV) in the arterial blood pressure waveform.
methodsTraditional techniques of calculating PPV using peak finding have a fundamental flaw that prevents them from accurately resolving PPV for small tidal volumes, limiting the use of PPV to only mechanical ventilated patients. The improved method described here addresses this limitation using Fourier analysis of an oscillatory signal that exhibits a time-varying modulation of its amplitude. The analysis reveals a constraint on the spectral representation that must be satisfied for any oscillatory signal that exhibits a time-varying modulation of its amplitude. This intrinsic mathematical structure is taken advantage of in order to improve the robustness of the algorithm.
resultsThe applicability of the method is tested using synthetic data and 100 h of physiologic data collected from patients admitted to Texas Children's Hospital. SIGNIFICANCE AND
conclusionThe proposed method accurately recovers values of PPV at signal-to-noise ratios six times smaller than the traditional method. This is a significant advance for the potential use of PPV to recognize fluid responsiveness during low tidal volume ventilation or spontaneous breathing for which the signal-to-noise ratio is expected to be small.
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