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

doi:10.1117/12.585306

7 March 2005 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

Author Affiliations +

Proceedings Volume 5702, Optical Diagnostics and Sensing V; (2005) https://doi.org/10.1117/12.585306
Event: SPIE BiOS, 2005, San Jose, CA, United States

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.

Citation Download Citation

Bennett Ibey, Hariharan Subramanian, Nance Ericson, Weijian Xu, Mark Wilson, and Gerard L. Cote "Processing of pulse oximeter signals using adaptive filtering and autocorrelation to isolate perfusion and oxygenation components", Proc. SPIE 5702, Optical Diagnostics and Sensing V, (7 March 2005); https://doi.org/10.1117/12.585306

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available