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, Andry Van De Louw

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

This 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).

Original languageEnglish (US)
Pages (from-to)3618-3629
Number of pages12
JournalAnnals of Biomedical Engineering
Volume38
Issue number12
DOIs
StatePublished - Jan 1 2010

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

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