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

journal contribution
posted on 2023-05-18, 07:10 authored by Sadeghi Fathabadi, O, Timothy GaleTimothy Gale, Kai LimKai Lim, Brian SalmonBrian Salmon, Wheeler, K, Jan OlivierJan Olivier, Peter DargavillePeter Dargaville
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.

History

Publication title

Physiological Measurement

Volume

35

Issue

7

Pagination

1425-1437

ISSN

0967-3334

Department/School

School of Engineering

Publisher

Iop Publishing Ltd

Place of publication

Dirac House, Temple Back, Bristol, England, Bs1 6Be

Rights statement

Copyright 2014 Institute of Physics and Engineering in Medicine

Repository Status

  • Restricted

Socio-economic Objectives

Clinical health not elsewhere classified

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