Date of this Version
Radoslav Ivanov, Nikolay Atanasov, James Weimer, Miroslav Pajic, Allan F. Simpao, Mohamed A. Rehman, George Pappas, and Insup Lee, "Estimation of Blood Oxygen Content Using Context-Aware Filtering", 7th International Conference on Cyber-Physical Systems (ICCPS 2016) . April 2016.
In this paper we address the problem of estimating the blood oxygen concentration in children during surgery.Currently, the oxygen content can only be measured through invasive means such as drawing blood from the patient. In this work, we attempt to perform estimation by only using other non-invasive measurements (e.g., fraction of oxygen in inspired air, volume of inspired air) collected during surgery. Although models mapping these measurements to blood oxygen content contain multiple parameters that vary widely across patients, the non-invasive measurements can be used to provide binary information about whether the oxygen concentration is rising or dropping. This information can then be incorporated in a context-aware filter that is used to combine regular continuous measurements with discrete detection events in order to improve estimation. We evaluate the filter using real-patient data collected over the last decade at the Children’s Hospital of Philadelphia and show that it is a promising approach for the estimation of unobservable physiological variables.
CPS Medical, CPS Security
7th International Conference on Cyber-Physical Systems (ICCPS 2016)
© Ivanov 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution.
Date Posted: 06 April 2016
This document has been peer reviewed.