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Comparative Study
Validation of a semi-classical signal analysis method for stroke volume variation assessment: a comparison with the PiCCO technique.
- Taous-Meriem Laleg-Kirati, Claire Médigue, Yves Papelier, François Cottin, and Andry Van de Louw.
- INRIA Bordeaux Sud-Ouest, UFR Sciences, Université de Pau et des Pays de l'Adour, France. Taous-Meriem.Laleg@inria.fr
- Ann Biomed Eng. 2010 Dec 1;38(12):3618-29.
AbstractThis study proposes a Semi-Classical Signal Analysis (SCSA) method for stroke volume (SV) variations assessment from arterial blood pressure measurements. One of the SCSA parameters, the first systolic invariant (INVS₁), has been shown to be linearly related to SV. To technically validate this approach, the comparison between INVS₁ and SV measured with the currently used PiCCO technique was performed during a 15-min recording in 20 mechanically ventilated patients in intensive care. A strong correlation was estimated by linear regression and cross-correlation analysis (mean coefficient = 0.90 ± 0.01 SEM at the two tests).
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