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Model of Neonatal Infant Blood Oxygen Saturation

[+] Author Affiliations
Bradley Krone, Roger Fales

University of Missouri, Columbia, MO

Ramak Amjad

University of Missouri SOM, Columbia, MO

Paper No. DSCC2011-6182, pp. 509-516; 8 pages
  • ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control
  • ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, Volume 1
  • Arlington, Virginia, USA, October 31–November 2, 2011
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-5475-4
  • Copyright © 2011 by ASME


In this work, three different black box models were designed to model the blood oxygen saturation (SpO2 ) of a neonatal infant. The inputs into each of the models where fraction of inspired oxygen, heart rate, and respiratory rate. The three modeling types used were fuzzy logic, neural network, and a transfer function model. Each model was trained on a window of data. The models were tuned using a design of experiments and the optimum window size was found for each model. The models were tested to see how long the model adequately represents the future SpO2 . The best model was found to be the transfer function model which adequately modeled the future SpO2 for an average of 51.8 seconds.

Copyright © 2011 by ASME
Topics: Blood , Oxygen



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