Open AccessResearch on oxygen saturation based on statistical analyses
Author(s) -
Rui Tang,
Lei Zhang,
Jingjing Zeng,
Lu Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1861/1/012003
Subject(s) - standard deviation , statistics , hurst exponent , regression analysis , stepwise regression , oxygen saturation , saturation (graph theory) , linear regression , mathematics , statistical analysis , demography , oxygen , chemistry , organic chemistry , combinatorics , sociology
We propose indicators to measure blood oxygen saturation: 1. Mean, which reflects the central tendency of blood oxygen saturation; 2. Standard deviation, which reflects the dispersion of SpO 2 ; 3. Hurst exponent, which indicates whether the time series is continuous or anti-continuous. Participants with nearly the same physiological characteristics except age are selected from all participants, and they are divided into female and male groups for visual analysis. We speculate that the SpO 2 series model had a certain relationship with age. Subsequently, the quantitative method is used to conduct a stepwise regression analysis by using age, BMI, gender and smoking. Finally, we find that the mean of SpO 2 is related to age.