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Proceedings Paper

Processing of pulse oximeter signals using adaptive filtering and autocorrelation to isolate perfusion and oxygenation components
Author(s): Bennett Ibey; Hariharan Subramanian; Nance Ericson; Weijian Xu; Mark Wilson; Gerard L. Cote
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Paper Abstract

A blood perfusion and oxygenation sensor has been developed for in situ monitoring of transplanted organs. In processing in situ data, motion artifacts due to increased perfusion can create invalid oxygenation saturation values. In order to remove the unwanted artifacts from the pulsatile signal, adaptive filtering was employed using a third wavelength source centered at 810nm as a reference signal. The 810 nm source resides approximately at the isosbestic point in the hemoglobin absorption curve where the absorbance of light is nearly equal for oxygenated and deoxygenated hemoglobin. Using an autocorrelation based algorithm oxygenation saturation values can be obtained without the need for large sampling data sets allowing for near real-time processing. This technique has been shown to be more reliable than traditional techniques and proven to adequately improve the measurement of oxygenation values in varying perfusion states.

Paper Details

Date Published: 7 March 2005
PDF: 7 pages
Proc. SPIE 5702, Optical Diagnostics and Sensing V, (7 March 2005); doi: 10.1117/12.585306
Show Author Affiliations
Bennett Ibey, Texas A&M Univ. (United States)
Hariharan Subramanian, Texas A&M Univ. (United States)
Nance Ericson, Oak Ridge National Lab. (United States)
Weijian Xu, Univ. of Pittsburgh (United States)
Mark Wilson, Univ. of Pittsburgh (United States)
Gerard L. Cote, Texas A&M Univ. (United States)

Published in SPIE Proceedings Vol. 5702:
Optical Diagnostics and Sensing V
Alexander V. Priezzhev; Gerard L. Cote, Editor(s)

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