Ontology type: schema:ScholarlyArticle
2010-12
AUTHORSTaous-Meriem Laleg-Kirati, Claire Médigue, Yves Papelier, François Cottin, Andry Van de Louw
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). More... »
PAGES3618-3629
http://scigraph.springernature.com/pub.10.1007/s10439-010-0118-z
DOIhttp://dx.doi.org/10.1007/s10439-010-0118-z
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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/20614241
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