scholarly journals Automatic Oxygen Delivery System for Premature Babies

2010 ◽  
Vol 4 (2) ◽  
Author(s):  
Thao P. Do ◽  
Lindsey J. Eubank ◽  
Devin S. Coulter ◽  
John M. Freihaut ◽  
Carlos E. Guevara ◽  
...  

When an infant is born prematurely, there are a number of health risks. Among these are underdeveloped lungs, which can lead to abnormal gas exchange of oxygen or hypoxemia. Hypoxemia is treated through oxygen therapy, which involves the delivery of supplemental oxygen to the patient but there are risks associated with this method. Risks include retinopathy, which can cause eye damage when oxygen concentration is too high, and brain damage, when the concentration is too low [1]. Supplemental oxygen concentration must be controlled rigorously. Currently healthcare staff monitors infants’ blood oxygen saturation level using a pulse oximeter. They manually adjust the oxygen concentration using an air-oxygen blender. Inconsistent manual adjustments can produce excessive fluctuations and cause the actual oxygen saturation level to deviate from the target value. Precision and accuracy are compromised. This project develops an automatic oxygen delivery system that regulates the supplemental oxygen concentration to obtain a target blood oxygen saturation level. A microprocessor uses a LABVIEW® program to analyze pulse oximeter and analyzer readings and control electronic valves in a redesigned air-oxygen blender. A user panel receives a target saturation level, displays patient data, and signals alarms when necessary. The prototype construction and testing began February 2010.

Author(s):  
Shruti Kiran Daddikar ◽  
Roshani Ade

the purpose of this paper is an approach to recognize oxygen level in people’s blood. Our method uses SPO2 sensor (Blood oxygen saturation level) and msp432. By using SPO2 sensor to sense oxygen level in the blood and Beer’s Lambert Laws to get oxygen level value and that oxygen level value display in LCD. The proposed method require less no of hardware so it reduced the production cost.


2021 ◽  
Vol 2 (1) ◽  
pp. 38-43
Author(s):  
Abdullajon Komilov ◽  
◽  
Madinabonu Sultonova ◽  
Durdona Orifjonova

Today, the COVID-19 pandemic is one of the most pressing problems facing humanity. Therefore, reducing the population's level of infection with this virus is one of our government's main tasks.Therefore, it is necessary to isolate patients with chronic diseases as much as possible. Clients are more likely to be infected with caronavirus due to their age and the presence of underlying medical conditions.Limiting direct contact between such patients and observing healthcare professionals significantly reduces the patient's chances of contracting caronavirus.The article proposes a device design that allows for remote automatic monitoring of patients' condition being treated at home by an observing medical professional.With the proposed device's help, the patient's blood oxygen saturation level is automatically and remotely controlled. The device is built on an Arduino board.The use of the device greatly reduces the likelihood of contracting caronavirus in patients receiving home treatment.This could be one of the most important decisions in maintaining the health of the population today.


2021 ◽  
Vol 11 (4) ◽  
pp. 55-61
Author(s):  
Rajesh Prabhakar Gaikwad ◽  
Akshaya Bhupesh Banodkar ◽  
Vaibhavi Pandurang Nandgaonkar

Background: Outbreak of novel corona virus has led World Health Organization (WHO) to come up with healthcare guidelines which includes wearing of N95 mask. The aim of this study was to evaluate whether blood oxygen saturation level is affected by wearing of N95 mask for the duration of 4 hours. Materials and Methods: A total of 90 exam going students were included in this study, who were instructed to wear N95 mask. Blood oxygen saturation level (SpO2) was checked both before and after wearing of N95 mask for a period of 4 hours. Results: It was observed that, before wearing N95 mask at 9 am, SpO2 values were 96.64±0.196 while at 1 pm after removing N95 mask, the saturation values were 95.68±0.235 (p=0.000) among all the students. There was a statistically highly significant difference seen for the values between the time intervals (p<0.01) with higher values at 9 am and lesser at 1pm. On comparing the SpO2 levels among males and females, a statistically nonsignificant difference was seen. Thus, reduction in blood oxygen saturation level can be a major parameter to evaluate the respiratory consequences of N95 mask. Conclusion: Various adverse effects of N95 mask were quoted in literature but respiratory consequences due to reduction in blood oxygen saturation level can be harmful. Thus, to avoid such consequences, precautionary measures are advised to be taken. Key words: N95 mask, SpO2, Blood oxygen saturation, COVID-19.


2020 ◽  
Author(s):  
Hai Hu ◽  
Weili Kong ◽  
Ni Yao ◽  
Yanru Qiu ◽  
Hailing Gu ◽  
...  

Abstract Background: Severe coronavirus disease 2019 (COVID-19) is associated with high mortality, whereas mild cases generally have a good prognosis. Therefore, the rapid assessment and timely classification of patients with COVID-19-related pneumonia are very important. However, no scoring system has been designated for the rapid assessment and prognosis of patients with COVID-19. Such a system is urgently needed. Objective: To explore the factors affecting mortality in patients with COVID-19 and to verify if the predictive value of the three rapid scoring scales [the Modified Early Warning Score (MEWS), Rapid Acute Physiology Score (RAPS) and Rapid Emergency Medicine Score (REMS)] that are commonly used in emergency departments can also be used for the prognostication of COVID-19 patients. Methods: The study included adult patients diagnosed with COVID-19 in Wuhan, China from February 7 to March 7, 2020. Kaplan–Meier and Cox survival analyses were performed to identify the risk factors associated with COVID-19-related death. C-index analysis was used to evaluate the abilities of the three scoring scales and their combined score to predict the prognosis of COVID-19 patients. Results: Older age, decreased lymphocyte count, increased respiration frequency, and low blood oxygen saturation level were identified as independent risk factors for mortality among patients with COVID-19. The Cox regression analysis demonstrated that MEWS, RAPS, and REMS had a statistically significant ability to predict mortality in COVID-19 patients (P < 0.05). Stats the C-index of MEWS, RAPS, REMS, and the combined score resulted 0.7,0.66, 0.82, and 0.83 respectively. Conclusion: Patients with an old age, increased respiration frequency, low blood oxygen saturation level, and decreased lymphocyte count are at a high risk of COVID-19-related mortality. Moreover, our analysis revealed that the REMS had a better prognostic ability than the MEWS and RAPS when applied to COVID-19 patients. Our findings suggest that the REMS can be used as a rapid scoring tool for the early assessment of COVID-19 severity.


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