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Automated control of inspired oxygen for preterm infants: What we have and what we need

journal contribution
posted on 2023-05-19, 03:07 authored by Sadeghi Fathabadi, O, Timothy GaleTimothy Gale, Jan OlivierJan Olivier, Peter DargavillePeter Dargaville
This review provides the first comprehensive technically focused image of algorithms developed for automation of inspired oxygen control in preterm infants. The paper has three main parts; the first provides an overview of the existing algorithms, the second presents the major design challenges of automation and the third proposes directions for future research and development of improved controllers. In the first section, the algorithms are classified in four categories, namely rule-based, proportional-integral-derivative, adaptive, and robust. The second section discusses variability in oxygenation, technologic shortcomings of infant monitoring and safety considerations as the three major challenges for designing automated controllers. The paper finally proceeds to suggest some future directions for improving automated oxygen control in the preterm infant. It suggests that based on the nature of the physiological system, an optimal algorithm must be capable of making continuous adjustments and it should be adaptive, including to alterations in severity of lung dysfunction and position on the oxygen saturation curve. It is also suggested that future controllers must utilise additional inputs for tasks such as oximeter signal validation and real-time prediction of hypoxic events.

History

Publication title

Biomedical Signal Processing and Control

Volume

28

Pagination

9-18

ISSN

1746-8094

Department/School

School of Engineering

Publisher

Elsevier BV

Place of publication

Netherlands

Rights statement

© 2016 Elsevier

Repository Status

  • Restricted

Socio-economic Objectives

Neonatal and child health

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