Sentence examples for extraction defects from inspiring English sources

This oxygen extraction defects might be related to severe microcirculatory disorders [23] and/or mitochondrial damage and/or impairment of cellular respiration [24] resulting in most of the cases in elevated ScvO2 or SvO2 values [21, 25].

Persistent tissue hypoperfusion with increased ScvO2 and O2 extraction defects might be related to microcirculatory and/or mitochondrial failure [ 19, 20].

This oxygen extraction defects might be related to severe microcirculatory disorders [ 23] and/or mitochondrial damage and/or impairment of cellular respiration [ 24] resulting in most of the cases in elevated ScvO2 or SvO2 values [ 21, 25].

Schemes for the wobbling noise recognition, signal indication extraction, defect signal classification, and the separation of mixed signals are proposed, and are applied to both signals measured in a SG mock-up and signals measured with short tube test-pieces in a laboratory environment.

Clinically this process is perceived as an oxygen extraction defect, a prominent feature of sepsis.

In these dogs treated with indomethacin plus NG-nitro-L-arginine methyl ester, the severity of the oxygen extraction defect was lower than that observed in the deoxycholate-treated dogs, suggesting that other mediators and/or mechanisms may be involved in microcirculatory control during hypoxia.

Our system mechanism mainly involves three processes: defect acquisition, feature extraction, and defect classification.

In this paper, the proposed comparison aims at highlighting the suitability of each considered excitation method with respect to the extraction of defects geometrical features.

Defect processing entails feature extraction and defect classification.

This paper reports a new method of MP equipped with an optimized dictionary through analyzing the interference between the reflection components embedded in a defect reflection signal in order to enable efficient extraction of defect information.

The proposed system is composed of five parts: projection-based pixel segmentation, normal pixel removal, feature extraction, target defect identification, and decision making.