Processing of pulse oximeter signals using adaptive filtering and autocorrelation to isolate perfusion and oxygenation components

Bennett Ibey*, Hariharan Subramanian, Nance Ericson, Weijian Xu, Mark Wilson, Gerard L. Cote

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

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.

Original languageEnglish (US)
Article number08
Pages (from-to)54-60
Number of pages7
JournalProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume5702
DOIs
StatePublished - 2005
EventOptical Diagnostics and Sensing V - San Jose, CA, United States
Duration: Jan 25 2005Jan 26 2005

Keywords

  • Adaptive filtering
  • Autocorrelation
  • Organ transplant
  • Perfusion
  • Pulse oximeter

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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