Literature DB >> 18048891

The light-tissue interaction of pulse oximetry.

Paul D Mannheimer1.   

Abstract

The underlying science of pulse oximetry is based on a simple manipulation of the Lambert-Beer law, which describes the attenuation of light traveling through a mixture of absorbers. Signals from detected red and infrared light that has traveled through blood-perfused tissues are used to estimate the underlying arterial hemoglobin oxygen saturation. However, light scatters in tissue and influences some of the simplifications made in determining this relationship. Under most clinical circumstances, the empirical process that manufacturers use to calibrate the system during its design readily accommodates this and results in accurate readings. The same tissue light scattering properties allow sensors to be configured for use on opposing or adjacent surfaces, provided that the placement sites offer sufficient signal strength and are absent factors known to influence accuracy. In this paper I review the light-tissue interaction in pulse oximetry and describe some of the assumptions made and their implications. Certain deviations from the nominal conditions, whether clinical in nature or misuse of the product, can affect system performance. Consequently, users should be cautious in modifying sensors and/or using them on tissue sites not intended by the manufacturer (off-label use). While perhaps helpful for obtaining pulsatile signals or extending the lifetime of a sensor, some practices can disrupt the optical integrity of the measurement and negatively impact the oxygen saturation reading accuracy.

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Year:  2007        PMID: 18048891     DOI: 10.1213/01.ane.0000269522.84942.54

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  34 in total

1.  Study of Artifact-Resistive Technology Based on a Novel Dual Photoplethysmography Method for Wearable Pulse Rate Monitors.

Authors:  Congcong Zhou; Jingjie Feng; Jun Hu; Xuesong Ye
Journal:  J Med Syst       Date:  2015-12-08       Impact factor: 4.460

2.  Detection of cardiovascular risk from a photoplethysmographic signal using a matching pursuit algorithm.

Authors:  Dirk Sommermeyer; Ding Zou; Joachim H Ficker; Winfried Randerath; Christoph Fischer; Thomas Penzel; Bernd Sanner; Jan Hedner; Ludger Grote
Journal:  Med Biol Eng Comput       Date:  2015-11-04       Impact factor: 2.602

3.  Performance assessment of an opto-fluidic phantom mimicking porcine liver parenchyma.

Authors:  Tony J Akl; Travis J King; Ruiqi Long; Michael J McShane; M Nance Ericson; Mark A Wilson; Gerard L Coté
Journal:  J Biomed Opt       Date:  2012-07       Impact factor: 3.170

4.  Respiratory variations in the photoplethysmographic waveform amplitude depend on type of pulse oximetry device.

Authors:  Lars Øivind Høiseth; Ingrid Elise Hoff; Ove Andreas Hagen; Knut Arvid Kirkebøen; Svein Aslak Landsverk
Journal:  J Clin Monit Comput       Date:  2015-06-12       Impact factor: 2.502

Review 5.  Is pulse oximetry an essential tool or just another distraction? The role of the pulse oximeter in modern anesthesia care.

Authors:  Amit Shah; Kirk H Shelley
Journal:  J Clin Monit Comput       Date:  2013-01-12       Impact factor: 2.502

6.  Optical oximetry of volume-oscillating vascular compartments: contributions from oscillatory blood flow.

Authors:  Jana M Kainerstorfer; Angelo Sassaroli; Sergio Fantini
Journal:  J Biomed Opt       Date:  2016-10       Impact factor: 3.170

7.  Esophageal pulse oximetry is more accurate and detects hypoxemia earlier than conventional pulse oximetry during general anesthesia.

Authors:  Guo Chen; Zhaoqiong Zhu; Jin Liu; Wei Wei
Journal:  Front Med       Date:  2012-10-02       Impact factor: 4.592

8.  In-silico and in-vitro investigation of a photonic monitor for intestinal perfusion and oxygenation.

Authors:  Mitchell B Robinson; Ryan J Butcher; Mark A Wilson; M Nance Ericson; Gerard L Coté
Journal:  Biomed Opt Express       Date:  2017-07-19       Impact factor: 3.732

9.  A comparison of response time to desaturation between tracheal oximetry and peripheral oximetry.

Authors:  Li Wang; Wei Wei; Ming Gong; Ling Mu
Journal:  J Clin Monit Comput       Date:  2010-03-12       Impact factor: 2.502

10.  Dynamic and static contributions of the cerebrovasculature to the resting-state BOLD signal.

Authors:  Sungho Tak; Danny J J Wang; Jonathan R Polimeni; Lirong Yan; J Jean Chen
Journal:  Neuroimage       Date:  2013-10-04       Impact factor: 6.556

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