Central venous pressure;
Signal processing;
Empirical mode decomposition;
Statistical analysis;
value;
D O I:
暂无
中图分类号:
学科分类号:
摘要:
Central venous pressure (CVP) is an important clinical parameter for physicians but only the absolute CVP value is typically monitored in the intensive care unit (ICU). In this study, we propose a novel mathematical method to present and analyze CVP signals. A total of 44 suitable samples were chosen from a total of 65 collected in an ICU. Pre-processing of the samples included rate reduction and digital filtering. The statistical features of time and frequency domain, wavelet, and empirical mode decomposition of these signals were extracted. We found no significant difference among the CVP signals regarding sex, smoking, coronary disease, and respiration mode of the samples.
机构:
Univ Paris Saclay, Hop Antoine Beclere, AP HP, Serv Reanimat Polyvalente, 157 Rue Porte Trivaux, F-92141 Clamart, FranceUniv Paris Saclay, Hop Antoine Beclere, AP HP, Serv Reanimat Polyvalente, 157 Rue Porte Trivaux, F-92141 Clamart, France
Hamzaoui, Olfa
Teboul, Jean-Louis
论文数: 0引用数: 0
h-index: 0
机构:
Univ Paris Saclay, Hop Bicetre, AP HP, Serv Med Intens Reanimat,DMU CORREVE,FHU SEPSIS, Le Kremlin Bicetre, France
Hop Marie Lannelongue, INSERM UMR S999 LabEx LERMIT, F-92350 Le Plessis Robinson, FranceUniv Paris Saclay, Hop Antoine Beclere, AP HP, Serv Reanimat Polyvalente, 157 Rue Porte Trivaux, F-92141 Clamart, France