Validation of a semi-classical signal analysis method for stroke volume variation assessment: a comparison with the PiCCO technique.
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).
Laleg-Kirati
Taous-Meriem
TM
INRIA Bordeaux Sud-Ouest, UFR Sciences, Université de Pau et des Pays de l'Adour, France. Taous-Meriem.Laleg@inria.fr
Médigue
Claire
C
Papelier
Yves
Y
Cottin
François
F
Van de Louw
Andry
A
D000704:Analysis of Variance; D001698:Biomedical Engineering; D001794:Blood Pressure / Q000502:physiology; D002302:Cardiac Output / Q000502:physiology; D006801:Humans; D016014:Linear Models; D008955:Models, Cardiovascular; D011446:Prospective Studies; D012121:Respiration, Artificial; D012815:Signal Processing, Computer-Assisted; D013318:Stroke Volume / Q000502:physiology*; D013599:Systole; D013815:Thermodilution