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Open AccessArticle

Source–Detector Spectral Pairing-Related Inaccuracies in Pulse Oximetry: Evaluation of the Wavelength Shift

by 1,2,*,†, 1,2 and 3,*,†
1
Department of Computer and Electrical Engineering, Université Laval, 1065 Avenue de la Médecine, Quebec, QC G1V 0A6, Canada
2
CERVO Research Center, Quebec, QC G1J 2G3, Canada
3
Sorbonne Université, CNRS, LIP6, F-75005 Paris, France
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Sensors 2020, 20(11), 3302; https://doi.org/10.3390/s20113302
Received: 5 May 2020 / Revised: 4 June 2020 / Accepted: 5 June 2020 / Published: 10 June 2020
(This article belongs to the Special Issue Wearable Biomedical Sensors 2020)
Pulse oximetry enables oxygen saturation estimation ( S p O 2) non-invasively in real time with few components and modest processing power. With the advent of affordable development kits dedicated to the monitoring of biosignals, capabilities once reserved to hospitals and high-end research laboratories are becoming accessible for rapid prototyping. While one may think that medical-grade equipment differs greatly in quality, surprisingly, we found that the performance requirements are not widely different from available consumer-grade components, especially regarding the photodetection module in pulse oximetry. This study investigates how the use of candidate light sources and photodetectors for the development of a custom S p O 2 monitoring system can lead to inaccuracies when using the standard computational model for oxygen saturation without calibration. Following the optical characterization of selected light sources, we compare the extracted parameters to the key features in their respective datasheet. We then quantify the wavelength shift caused by spectral pairing of light sources in association with photodetectors. Finally, using the widely used approximation, we report the resulting absolute error in S p O 2 estimation and show that it can lead up to 8% of the critical 90–100% saturation window. View Full-Text
Keywords: pulse oximetry; wearable sensors; spectrum distribution; wavelength shift; sensor shift; calibration; Beer–Lambert Law; LED pulse oximetry; wearable sensors; spectrum distribution; wavelength shift; sensor shift; calibration; Beer–Lambert Law; LED
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MDPI and ACS Style

Tsiakaka, O.; Gosselin, B.; Feruglio, S. Source–Detector Spectral Pairing-Related Inaccuracies in Pulse Oximetry: Evaluation of the Wavelength Shift. Sensors 2020, 20, 3302. https://doi.org/10.3390/s20113302

AMA Style

Tsiakaka O, Gosselin B, Feruglio S. Source–Detector Spectral Pairing-Related Inaccuracies in Pulse Oximetry: Evaluation of the Wavelength Shift. Sensors. 2020; 20(11):3302. https://doi.org/10.3390/s20113302

Chicago/Turabian Style

Tsiakaka, Olivier; Gosselin, Benoit; Feruglio, Sylvain. 2020. "Source–Detector Spectral Pairing-Related Inaccuracies in Pulse Oximetry: Evaluation of the Wavelength Shift" Sensors 20, no. 11: 3302. https://doi.org/10.3390/s20113302

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