Exploration of the Factors of Blood Oxygen Saturation Measurement Mode based on Regression Analysis

Yawen Huang

《Frontiers in Economics and Management》 2卷8期 (2021/08) Pp. 26-32

https://doi.org/10.6981/FEM.202108_2(8).0005

摘要

Blood oxygen saturation is one of the most important parameters of human physiology. Non-invasive, real-time and continuous monitoring of blood oxygen saturation is of clinical importance. Currently, the more conventional monitoring method is pulse oximetry, but the ability to directly calculate oxygen saturation using a specific model has always been an issue. Based on certain assumptions, this paper first establishes a multiple linear regression model, uses least squares estimation to solve the unknown coefficients of the multiple linear regression equation, and obtains a significant linear relationship between smoking status and age and blood oxygen saturation, while gender, body mass index and blood There is no significant correlation between oxygen saturation, and qualitative and quantitative analysis are combined again, and stepwise regression is used to analyze the degree of influence of various factors on blood oxygen saturation. Finally, it is found that blood oxygen saturation is significantly negatively correlated with age. The method of goodness of fit validates the model.

關鍵字

Blood Oxygen Saturation ； Multiple Linear Regression ； Least Square Estimation ； Stepwise Regression

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