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Cited by 710

The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.

Pulse oximetry: Understanding its basic principles facilitates appreciation of its limitations

Open access
Chan, Edward D., Chan, Michael M., Chan, Mallory M.·2013·Respiratory Medicine

Abstract

Pulse oximetry has revolutionized the ability to monitor oxygenation in a continuous, accurate, and non-invasive fashion. Despite its ubiquitous use, it is our impression and supported by studies that many providers do not know the basic principles behind its mechanism of function. This knowledge is important because it provides the conceptual basis of appreciating its limitations and recognizing when pulse oximeter readings may be erroneous. In this review, we discuss how pulse oximeters are able to distinguish oxygenated hemoglobin from deoxygenated hemoglobin and how they are able to recognize oxygen saturation only from the arterial compartment of blood. Based on these principles, we discuss the various conditions that can cause spurious readings and the mechanisms underlying them.

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Crossref · 10.1016/j.rmed.2013.02.004

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Metadata

Authors
Chan, E. D., Chan, M. M., & Chan, M. M.
Venue
Respiratory Medicine
Publisher
Elsevier BV
Published
2013-06
Volume
107
Issue
6
Pages
789-799
ISSN
0954-6111 (ISSN-L)
OpenAlex
W2071229756
Cited by
710
References
43
FWCI
6.38
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Pulse oximetry: Understanding its basic principles facilitates appreciation of its limitations. https://app.cochat.ai/papers/10.1016/j.rmed.2013.02.004
The paper
Chan, E. D., Chan, M. M., & Chan, M. M. (2013). Pulse oximetry: Understanding its basic principles facilitates appreciation of its limitations. Respiratory Medicine. https://doi.org/10.1016/j.rmed.2013.02.004

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.