Validation of a Semi-Classical Signal Analysis Method for Stroke Volume Variation Assessment: A Comparison with the PiCCO Technique

被引：18

作者：

Laleg-Kirati, Taous-Meriem ^{[1
]}

Medigue, Claire ^{[2
]}

Papelier, Yves ^{[3
]}

Cottin, Francois ^{[4
]}

Van de Louw, Andry ^{[5
]}

机构：

[1] Univ Pau & Pays Adour, UFR Sci, INRIA Bordeaux Sud Ouest, F-64013 Pau, France

[2] INRIA Rocquencourt, F-78153 Le Chesnay, France

[3] Hop Antoine Beclere, EA EFM 3544, F-92141 Clamart, France

[4] INSERM 902, Unite Biol Integrat Adapatat Exercice, Genopole, EA 3872, F-91000 Evry, France

[5] Ctr Hosp Sud Francilien, Intens Care Unit, F-91014 Evry, France

来源：

ANNALS OF BIOMEDICAL ENGINEERING | 2010年 / 38卷 / 12期

关键词：

Stroke volume variations; Semi-classical signal analysis; First systolic invariant; PiCCO; Arterial blood pressure; PULSE-CONTOUR METHOD; CRITICALLY-ILL PATIENT; PRESSURE WAVE-FORM; CARDIAC-OUTPUT; AORTIC PRESSURE; SEPARATION; MODEL; FLOW; THERMODILUTION; RESERVOIR;

D O I：

10.1007/s10439-010-0118-z

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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 +/- A 0.01 SEM at the two tests).

引用

页码：3618 / 3629

页数：12

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