Validation of a semi-classical signal analysis method for stroke volume variation assessment: a comparison with the PiCCO technique.
cross_sectional · Level IV
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- Record sourced from PubMed, PMID 20614241.
- Also identified by DOI 10.1007/s10439-010-0118-z.
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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).
Medical subject headings
- Stroke Volume