TY - JOUR
T1 - Validation of a Semi-Classical Signal Analysis method for stroke volume variation assessment
T2 - A comparison with the PiCCO technique
AU - Laleg-Kirati, Taous Meriem
AU - Médigue, Claire
AU - Papelier, Yves
AU - Cottin, François
AU - Van De Louw, Andry
PY - 2010/12
Y1 - 2010/12
N2 - 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).
AB - 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).
KW - Arterial blood pressure
KW - First systolic invariant
KW - PiCCO
KW - Semi-classical signal analysis
KW - Stroke volume variations
UR - http://www.scopus.com/inward/record.url?scp=78651384382&partnerID=8YFLogxK
U2 - 10.1007/s10439-010-0118-z
DO - 10.1007/s10439-010-0118-z
M3 - Article
C2 - 20614241
AN - SCOPUS:78651384382
SN - 0090-6964
VL - 38
SP - 3618
EP - 3629
JO - Annals of Biomedical Engineering
JF - Annals of Biomedical Engineering
IS - 12
ER -