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[Simulation Study on the Influence of Sampling Delay on the Accuracy of Energy Metabolism Measurement].
Zhang, Anqi; Chen, Yanyan; Wang, Yuan; Fang, Wei; Sun, Yining; Ma, Zuchang; Yang, Xianjun.
Affiliation
  • Zhang A; Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei, 230031.
  • Chen Y; University of Science and Technology of China, Hefei, 230026.
  • Wang Y; Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei, 230031.
  • Fang W; Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei, 230031.
  • Sun Y; Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei, 230031.
  • Ma Z; University of Science and Technology of China, Hefei, 230026.
  • Yang X; Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei, 230031.
Zhongguo Yi Liao Qi Xie Za Zhi ; 46(4): 382-387, 2022 Jul 30.
Article in Zh | MEDLINE | ID: mdl-35929151
Indirect energy metabolism measurement is the gold standard for providing nutritional support for critical illness. The accuracy of the measurement data directly affects the outcome of the disease. In order to study the influence of sampling delay on the accuracy of energy metabolism measurement under mechanical ventilation, the Matlab/Simulink platform and respiratory electrical model were used for simulation and quantitative analysis. The results show that the error of indirect energy metabolism measurement increases with the increase of sampling delay, the error of sampling delay in mechanical ventilation mode is larger than that of spontaneous breathing, and the error of sampling delay in PCV mode of mechanical ventilation is larger than that in VCV mode. Therefore, there should be different sampling delay compensation strategies under severe mechanical ventilation and its different control modes.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Respiration, Artificial / Critical Illness Limits: Humans Language: Zh Journal: Zhongguo Yi Liao Qi Xie Za Zhi Year: 2022 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Respiration, Artificial / Critical Illness Limits: Humans Language: Zh Journal: Zhongguo Yi Liao Qi Xie Za Zhi Year: 2022 Type: Article