2017
DOI: 10.1364/boe.8.003714
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In-silico and in-vitro investigation of a photonic monitor for intestinal perfusion and oxygenation

Abstract: Abstract:The quantification of visceral organ oxygenation after trauma-related systemic hypovolemia and shock is critical to enable effective resuscitation. In this work, a photoplethysmography-based (PPG) sensor was specifically designed for probing the perfusion and oxygenation condition of intestinal tissue with the ultimate goal to monitor patients post trauma to guide resuscitation. Through Monte Carlo modeling, suitable optofluidic phantoms were determined, the wavelength and separation distance for the … Show more

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Cited by 1 publication
(4 citation statements)
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“…The sensor boards utilized were modified ADPD103Z boards from Analog Devices. 26 As mentioned above, conventional optical perfusion and oxygenation measurements utilize long visible and NIR wavelengths, which enable increased penetration depth for dense tissues. For the thin intestinal tissues, the photon penetration is too deep at these long wavelengths, resulting in high background signals and motion artifact.…”
Section: Optical Perfusion and Oxygenation Monitorsmentioning
confidence: 99%
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“…The sensor boards utilized were modified ADPD103Z boards from Analog Devices. 26 As mentioned above, conventional optical perfusion and oxygenation measurements utilize long visible and NIR wavelengths, which enable increased penetration depth for dense tissues. For the thin intestinal tissues, the photon penetration is too deep at these long wavelengths, resulting in high background signals and motion artifact.…”
Section: Optical Perfusion and Oxygenation Monitorsmentioning
confidence: 99%
“…The decrease in nonpulsatile signal intensity for the red signal results from the decrease in blood velocity, reducing both the alignment of the orientation of the red blood cells that increase reflected light as well as the expansion of the vessels. The effects seen with wavelength in vivo were also validated using the previously described optofluidic phantom 26 by altering the scattering properties of the blood phantom used. Comparing the blood phantom to the same phantom with the addition of aluminum oxide particles with an increasing flow rate yielded the signals in Fig.…”
Section: Perfusionmentioning
confidence: 99%
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