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Oxygen saturation measurements from green and orange illuminations of multi-wavelength optoelectronic patch sensors
journal contribution
posted on 2019-01-24, 10:48 authored by Samah Alharbi, Sijung HuSijung Hu, David Mulvaney, Laura BarrettLaura Barrett, Liangwen Yan, Panos Blanos, Yasmin Elsahar, Samuel Adema© 2019 by the authors. Licensee MDPI, Basel, Switzerland. Photoplethysmography (PPG) based pulse oximetry devices normally use red and infrared illuminations to obtain oxygen saturation (SpO2) readings. In addition, the presence of motion artefacts severely restricts the utility of pulse oximetry physiological measurements. In the current study, a combination of green and orange illuminations from a multi-wavelength optoelectronic patch sensor (mOEPS) was investigated in order to improve robustness to subjects’ movements in the extraction of SpO2 measurement. The experimental protocol with 31 healthy subjects was divided into two sub-protocols, and was designed to determine SpO2 measurement. The datasets for the first sub-protocol were collected from 15 subjects at rest, with the subjects free to move their hands. The datasets for the second sub-protocol with 16 subjects were collected during cycling and walking exercises. The results showed good agreement with SpO2 measurements (r = 0.98) in both sub-protocols. The outcomes promise a robust and cost-effective approach of physiological monitoring with the prospect of providing health monitoring that does not restrict user physical movements.
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- Sport, Exercise and Health Sciences
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Sensors (Switzerland)Volume
19Issue
1Citation
ALHARBI, S. ... et al., 2019. Oxygen saturation measurements from green and orange illuminations of multi-wavelength optoelectronic patch sensors. Sensors (Switzerland), 19(1): 118.Publisher
© The Authors. Published by MDPIVersion
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This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/ by/4.0/Publication date
2019Notes
This is an Open Access Article. It is published by MDPI under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/ISSN
1424-8220Publisher version
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- en
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