NON-INVASIVE BLOOD OXYGEN SATURATION MONITORING (SpO2) USING TRANSMITTANCE FOR PULSE OXIMETER

2019 ◽  
Vol 31 (06) ◽  
pp. 1950043
Author(s):  
Anupama Sarkar ◽  
Vineet Sinha ◽  
Sadhana A. Mandlik ◽  
J. Kathirvelan

Measuring oxygen saturation of blood (SpO2) clinically plays a vital role in patient’s health monitoring. In fact, monitoring oxygen level is necessary for people having respiratory problems (pulmonary hypertension) and in other critical conditions. The primary motivation of this work is to develop a low cost computer-based oxygen saturation monitoring system using an embedded system along with lab windows CVI platform. The process of calculating the level of oxygen saturation in the blood using non-invasive method is also called as pulse oximetry, which consists of LED and photo detectors, using MSP430FG4618 microcontroller. The MSP430 employed in designing the microcontroller firmware program for digitization and transmission of the data from sensor to the computer. NI-based Lab windows/CVI Platform was developed as a part of this project to receive, plot, save data and determine the accuracy of SpO2 value. In this proposed system, we have achieved the maximum accuracy of 99.49% which is better than the previously developed methods. The proposed system is also designed with the low cost and low power consuming modules.

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7752
Author(s):  
Jose M. Celaya-Padilla ◽  
Jonathan S. Romero-González ◽  
Carlos E. Galvan-Tejada ◽  
Jorge I. Galvan-Tejada ◽  
Huizilopoztli Luna-García ◽  
...  

Worldwide, motor vehicle accidents are one of the leading causes of death, with alcohol-related accidents playing a significant role, particularly in child death. Aiming to aid in the prevention of this type of accidents, a novel non-invasive method capable of detecting the presence of alcohol inside a motor vehicle is presented. The proposed methodology uses a series of low-cost alcohol MQ3 sensors located inside the vehicle, whose signals are stored, standardized, time-adjusted, and transformed into 5 s window samples. Statistical features are extracted from each sample and a feature selection strategy is carried out using a genetic algorithm, and a forward selection and backwards elimination methodology. The four features derived from this process were used to construct an SVM classification model that detects presence of alcohol. The experiments yielded 7200 samples, 80% of which were used to train the model. The rest were used to evaluate the performance of the model, which obtained an area under the ROC curve of 0.98 and a sensitivity of 0.979. These results suggest that the proposed methodology can be used to detect the presence of alcohol and enforce prevention actions.


Circulation ◽  
2019 ◽  
Vol 140 (Suppl_2) ◽  
Author(s):  
Shinji Shigematsu ◽  
Tomohiko Sakai ◽  
Tadahiko Shiozaki ◽  
Mitsuo Ohnishi ◽  
Ryosuke Takegawa ◽  
...  

Introduction: The simplified monitoring of regional cerebral oxygen saturation (rSO 2 ) is a non-invasive method of measuring cerebral perfusion, but continuous changes in the cerebral rSO 2 values among OHCA patients in the pre-hospital settings have not been sufficiently investigated. Our objective is to investigate the association between the change in rSO 2 pattern and patient outcome. Methods: We recently developed a very small portable rSO 2 monitoring system that can be used in the pre-hospital setting. The system can monitor cerebral rSO 2 immediately after attachment; monitoring is performed continuously during CPR. The system was used from June 2013 to May 2019 in Osaka City, Japan.The primary outcome measure was neurologically intact survival at 1 month. Results: We collected the continuous changes in the cerebral rSO 2 values of 87 OHCA patients during CPR by EMS personnel. The analyses of the continuous changes in the rSO 2 values of the 79 cases in which the rSO 2 value was measured before ROSC revealed two patterns of changes in the cerebral rSO 2 values. In type 1 (increasing rSO 2 type; n=38), the measured rSO 2 gradually increased during CPR or after ROSC. There were 3 patients of neurologically intact survival in type 1. In type 2 (non-increasing rSO 2 type; n=41), the measured rSO 2 did not increase during CPR. There was no patient of neurologically intact survival in type 2. We found an instructive phenomenon in the changes of the cerebral rSO 2 values. Measured rSO 2 dropped after confirmation of ROSC, which suggests that re-arrest had occurred during monitoring. Conclusion: We measured the continuous changes in cerebral rSO 2 values among 87 patients with OHCA in the pre-hospital setting and found 2 patterns and an instructive phenomenon in the continuous changes in rSO 2 values. Increasing type rSO 2 during CPR appeared to be associated with neurologically intact survival at 1 month.


Pulse oximetry 328 When employed correctly, pulse oximetry is a rapid non-invasive method of assessing one of the key components of tissue oxygen delivery: the oxygen saturation of haemoglobin (SaO2). • Based on the laws of light absorbance and optical density (Lambert's law and Beer's law), i.e. the principle that deoxygenated and oxygenated hemoglobin absorb light at different wavelengths....


2020 ◽  
Vol 10 (11) ◽  
pp. 3757
Author(s):  
Júlio César da Silva ◽  
Thyago Leite de Vasconcelos Lima ◽  
José Anselmo de Lucena Júnior ◽  
Gabriela Jordão Lyra ◽  
Filipe Vidal Souto ◽  
...  

Induction motors (IMs) are present in practically all production processes and account for two-thirds of the energy consumption in industrial settings. Therefore, monitoring them is essential to prevent accidents, optimize production, and increase energy efficiency. Monitoring methods found in the literature require a certain level of invasiveness, causing some applications to be unfeasible. In the present study, a new completely non-invasive method implemented in an embedded system performs the embedded processing of the sound signal emitted by an in-service IM to estimate speed, torque, and efficiency. Motor speed is estimated from the analysis in the frequency domain using the Fourier Transform. Torque and efficiency are estimated from the speed and motor nameplate information. To perform the tests and validate the proposed method/system, a workbench with a controllable torque was used. The workbench was also equipped to allow the results to be compared with the airgap torque method. The results indicate a high accuracy for the nominal load (error of approximately 1%) in the measurement of the efficiency and torque, and a mean relative error of 0.2% for the speed.


2019 ◽  
Vol 8 (3) ◽  
pp. 2064-2066

In the current paper we have described the design, testing and result data of a low cost heart beat measuring device. The proposed model works on the properties of optics. Our model is non-invasive in nature and able to measure heart rate of any individual during different physical activities. We have also developed a better algorithm for measuring heart beat rate at a fixed interval of 5 seconds. The heart beat is counted by a specific microcontroller that displays the heart rate data on an LCD continuously. We have also measured the heart beat rate of an individual running on the trademill at variable speed and compared the result with our model.


2021 ◽  
Vol 27 (1) ◽  
Author(s):  
José Javier Reyes-Lagos ◽  
Eric Alonso Abarca-Castro

AbstractPreeclampsia is a pregnancy-specific condition which gets detected through hypertension and excessive protein excretion in urine. While preeclampsia used to be regarded as a self-limiting maternal condition which resolved with the delivery of the placenta, it is nowadays considered a complex and multifactorial disease that affects the offspring. Unfortunately, the etiology and pathophysiology of this multifaceted disorder remain elusive. Recent findings have confirmed that an altered maternal autonomic function may play a vital role in developing preeclampsia in conjunction with an imbalanced maternal immune system. Additionally, further evidence supports the crucial role of an exacerbated immune response driven by a non-infectious trigger during preeclampsia. Therefore, as a sterile inflammation, the elucidation of the neuroinflammatory mechanisms of preeclampsia warrants obtaining relevant knowledge suitable for translational clinical applications.Heart rate variability (HRV) is an affordable and non-invasive method for indirectly assessing the autonomic nervous system and the cholinergic anti-inflammatory pathway (CAP). Notably, the nonlinear analysis of HRV offers novel indexes to explore the neuroimmune interactions in diverse preclinical and clinical settings of inflammation. Given that the dynamics of HRV is nonlinear in health, we hypothesized that a neuroinflammatory condition in preeclampsia might be associated with changes in nonlinear features of maternal and fetal HRV. Thus, the present review aims to present evidence of the potential changes in maternal-fetal HRV associated with neuroinflammatory modifications in preeclamptic women. We considered that there is still a need for assessing the nonlinear features of maternal and fetal HRV as complementary biomarkers of inflammation in this population in future studies, being a potential route for translational clinical applications.


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