Photon pathlength based self-calibrated pulse oximetry

Jingyi Wu; Jacqueline Gunther; Baptiste Jayet; Neil Ray; Stefan Andersson-Engels; Jana M. Kainerstorfer

doi:10.1117/12.2610077

2 March 2022 Photon pathlength based self-calibrated pulse oximetry

Jingyi Wu, Jacqueline Gunther, Baptiste Jayet, Neil Ray, Stefan Andersson-Engels, Jana M. Kainerstorfer

Proceedings Volume PC11959, Dynamics and Fluctuations in Biomedical Photonics XIX; PC119590G (2022) https://doi.org/10.1117/12.2610077
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

In pulse oximetry, arterial oxygen saturation (SpO2) is calculated from near-infrared spectroscopy (NIRS) data using the modified Beer-Lambert Law. Tissue homogeneity is assumed, and the photon mean pathlength (〈L〉) needs to be known or calibrated for. We aim to develop a transabdominal fetal pulse oximeter, where SpO2 = 40-70% and the homogeneity assumption and experimental calibration cannot be applied. Our approach relies on spectral fitting of normalized 〈L〉 from NIRS measurements with analytical description of 〈L〉. Data from simulations and human subjects are presented. Our preliminary results show that the self-calibrated algorithm can accurately extract SpO2 changes in homogenous tissue.

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Citation Download Citation

Jingyi Wu, Jacqueline Gunther, Baptiste Jayet, Neil Ray, Stefan Andersson-Engels, and Jana M. Kainerstorfer "Photon pathlength based self-calibrated pulse oximetry", Proc. SPIE PC11959, Dynamics and Fluctuations in Biomedical Photonics XIX, PC119590G (2 March 2022); https://doi.org/10.1117/12.2610077

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KEYWORDS

Calibration

Oximetry

Near infrared spectroscopy

Tissues

Data modeling

Fetus

Photon transport

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