Automated prediction of deterioration of infants in paediatric intensive care using SpO2

B. Rajeswari Matam, Heather Duncan, David Lowe

Research output: Contribution to journalArticle

Abstract

Acute life-threatening events are mostly predictable in adults and children. Despite real-time monitoring these events still occur at a rate of 4%. This paper describes an automated prediction system based on the feature space embedding and time series forecasting methods of the SpO2 signal; a pulsatile signal synchronised with heart beat. We develop an age-independent index of abnormality that distinguishes patient-specific normal to abnormal physiology transitions. Two different methods were used to distinguish between normal and abnormal physiological trends based on SpO2 behaviour. The abnormality index derived by each method is compared against the current gold standard of clinical prediction of critical deterioration.

Original languageEnglish
Pages (from-to)341-356
Number of pages16
JournalInternational Journal of Biomedical Engineering and Technology
Volume13
Issue number4
DOIs
Publication statusPublished - 2013

Fingerprint Dive into the research topics of 'Automated prediction of deterioration of infants in paediatric intensive care using SpO<sub>2</sub>'. Together they form a unique fingerprint.

  • Cite this