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An ANN based SpO2 Measurement for Clinical Management Systems

Publication Type : Conference Paper

Publisher : Energy Procedia

Source : Energy Procedia, Elsevier Ltd, Volume 117, p.393-400 (2017)

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Keywords : Blood, Clinical management systems, Computation theory, Computer aided engineering, Fuzzy logic, light emitting diodes, Modern medicine, Neural networks, Noninvasive medical procedures, Oximeters, oxygen saturation, Oxygenated hemoglobin, Power control, Pulse oximeters, Red led lights, SpO2, Transmission characteristics

Campus : Bengaluru

School : School of Engineering

Department : Electronics and Communication

Year : 2017

Abstract : Pulse oximeters are ubiquitous in modern medicine to noninvasively measure the percentage of oxygenated hemoglobin in a patient's blood. Pulse oximeters are well adapted, simpler and quite easy to measure. In this paper, An ANN based model using LabVIEW is proposed to measure and estimate the SpO2 present in the blood. Infra red (IR) and red LED lights are passed through the fingers and the ratio of transmission characteristics (R value) is calculated through LabVIEW system. Based on the R value the oxygen saturation SPO2 is calculated. This study is done through aNETka, which is an ANN work system designed in LabVIEW. Finally the result is compared with both fuzzy logic and linear regression based methods. The proposed method shows that ANN can be efficiently used in clinical management systems and also proved its consistency and accuracy. © 2017 The Authors. Published by Elsevier Ltd.

Cite this Research Publication : G. P. Gupta, Nair, R. R., and Jeyanthi R., “An ANN based SpO2 Measurement for Clinical Management Systems”, in Energy Procedia, 2017, vol. 117, pp. 393-400.

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