Blood oxygen saturation determined by transmission spectrophotometry of hemolyzed blood samples

Use of the Lambert-Beer Transmission Law determines blood oxygen saturation of hemolyzed blood samples. This simplified method is based on the difference in optical absorption properties of hemoglobin and oxyhemoglobin

Pulse oximetry of body cavities and organs

The focus of this paper will be in the development and in vivo applications of new custom made photoplethysmographic (PPG) and pulse oximetry optical and fiber optic sensors and instrumentation in an effort to investigate their suitability in the estimation of blood oxygen saturation and their contribution in the assessment of organ/tissue perfusion and viability. The paper describes the development of optical and fiber optic PPG and blood oxygen saturation (SpO2) sensors and covers examples of application areas including real-time PPG monitoring from body cavities (esophagus) and solid or hollow organs (bowel, liver, stomach, brain, etc). The clinical studies presented successfully demonstrated the feasibility in acquiring PPGs and estimating blood oxygen saturation values from a variety of organs and tissues. The technological developments and the measurements presented in this work pave the way in a new era of pulse oximetry where direct and continuous monitoring of blood oxygen saturation of internal organs and tissues could be made possible

Sistem Pemantau Detak Jantung dan Saturasi Oksigen dalam Darah (SpO2) Berbasis IoT

Heart rate and blood oxygen saturation (SpO2) are the two main parameters needed to determine the condition of a patient being treated in the intensive care unit (ICU) at a hospital. These two parameters must not be left unattended from monitoring because they can be fatal for the patient.This study aims to create an IoT-based heart rate monitoring and blood oxygen saturation (SpO2) application so that it can be accessed online in real time anytime and anywhere. The observation process is in the form of analog signal changes which are processed with fast fourier transform arithmetic as digital signal processing. The final process of processing displays the measured heart rate and blood oxygen saturation (SpO2).Based on the trial results, the use of the thingspeak platform can work well. Parameters of heart rate and blood oxygen saturation (SpO2) can be accessed online in real time anytime and anywhere so as to assist medical personnel in monitoring patients in hospitals

Multiple Linear Regression Model of Blood Oxygen Saturation

We used standardized regression analysis to analyze the influence of age and recent smoking status on blood oxygen saturation. We found that blood oxygen saturation was negatively correlated with age and recent smoking status, but whether smoking had a greater influence on blood oxygen saturation than age. In order to further explore whether age and recent smoking status could jointly affect oxygen saturation of blood, we used k-means clustering algorithm and took age as the control variable to conduct clustering analysis. Is obtained by polynomial fitting, and then the blood oxygen saturation under all ages about age, smoking status of recent expression of partial derivatives of recent smoking status, get the following conclusion: smoking is oxygen desaturation, and compared with the young, the elderly smoking more effect on the blood oxygen saturation degree, are more likely to suffer from cardiovascular disease.When the regression results were tested for significance, the significance of all variables was investigated, and it was found that only age and current smoking status were significant for oxygen saturation, while BMI and gender showed no difference from zero in T test, indicating that oxygen saturation was not affected by BMI and gender. Then, taking oxygen saturation as the dependent variable and age and current smoking status as independent variables, the spline interpolation method with the best fitting effect was found, and its expression was given in the text

Blood Oxygen Saturation Analysis Model Based on Multiple Normalized Regression

Several factors that may have an impact on the saturation of the oxygen saturation, respectively, are age, BMI, gender, and current smoking conditions. For the blood oxygen saturation of 36 patients collected, the data preprocessing, the abnormal data were removed, and the blood oxygen saturation was the dependent variable, with the BMI, age, gender, the current smoking condition is the independent variable, and the stata is normalized. In the case of significant sexual testing of variables, the discovery of the current smoking condition was significant for the oxygen saturation of the blood oxygen, while the bmi and gender in the t test were not different from zero, indicating that the blood oxygen saturation was affected by the BMI, and the influence of gender could be ignored, and the effect of age and current smoking condition on the oxygen saturation was mainly considered