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Assessment of validity and predictability of the FiO2–SpO2 transfer-function in preterm infants


Sadeghi Fathabadi, O and Gale, TJ and Lim, KL and Salmon, BP and Wheeler, K and Olivier, JC and Dargaville, PA, Assessment of validity and predictability of the FiO2-SpO2 transfer-function in preterm infants, Physiological Measurement, 35, (7) pp. 1425-1437. ISSN 0967-3334 (2014) [Refereed Article]

Copyright Statement

Copyright 2014 Institute of Physics and Engineering in Medicine

DOI: doi:10.1088/0967-3334/35/7/1425


In this paper an investigation of the gain, delay, and time-constant parameters of the transfer function describing the relation between fraction of inspired oxygen (FiO2) and oxygen saturation in the blood (SpO2) in preterm infants is presented. The parameters were estimated following FiO2 adjustments and goodness of fit was used to assess the validity of the model when using an assumed first-order transfer function. For responses identified to be first-order, the estimated parameters were then clustered to identify areas where they tended to be concentrated. Each group described an operating region of the transfer function; thus, predicting the right operating region could potentially assist a range-based robust inspired oxygen controller to provide more optimal control by adapting itself to different clusters. Accordingly, the samples were assigned labels based on their cluster associations and 14 features available at the time of each adjustment were used as inputs to an artificial neural network to classify the clustered samples. The validity study suggested that 37% of the adjustments were followed by first-order responses. Prediction studies on the first-order responses indicated that the clusters could be predicted with an average accuracy of 64% when the parameters were divided into two groups.

Item Details

Item Type:Refereed Article
Keywords:oximetry, oxygen inhalational therapy, clustering algorithms, artificial neural networks, data mining
Research Division:Engineering
Research Group:Biomedical engineering
Research Field:Biomedical engineering not elsewhere classified
Objective Division:Health
Objective Group:Clinical health
Objective Field:Clinical health not elsewhere classified
UTAS Author:Sadeghi Fathabadi, O (Mr Omid Sadeghi Fathabadi)
UTAS Author:Gale, TJ (Dr Timothy Gale)
UTAS Author:Lim, KL (Miss Kai Lim)
UTAS Author:Salmon, BP (Dr Brian Salmon)
UTAS Author:Wheeler, K (Dr Kevin Wheeler)
UTAS Author:Olivier, JC (Professor JC Olivier)
UTAS Author:Dargaville, PA (Professor Peter Dargaville)
ID Code:98237
Year Published:2014
Web of Science® Times Cited:7
Deposited By:Engineering
Deposited On:2015-02-06
Last Modified:2017-11-03

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