O'Toole, J. M.,Kenosi, M.,Finn, D.,Boylan, G. B.,Dempsey, E. M.

2016

August

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference

Features of cerebral oxygenation detects brain injury in premature infants

Validated

()

2016

3614

3617

Babies born prematurely can develop brain injury within days after birth. Early identification of high-risk infants enables appropriate clinical care to mitigate potential lifelong disabilities. Near infra-red spectroscopy is an established technology that can provide continuous measurements of cerebral oxygen saturation (rcSO2) over this critical period. We develop a feature set of the rcSO2 signal for the purpose of detecting brain injury. Our feature set contains amplitude, spectral, and fractal dimension features within 5 frequency bands. Features are combined in a support vector machine (SVM) and performance is assessed within a cross-validation procedure. Using a cohort of 47 infants of <;32 weeks of gestation, we find significant (p <; 0.05) features of amplitude in the frequency band 0.9-3.6 mHz and a fractal dimension measure in the frequency band 1.8-3.6 mHz. The SVM has an area-under the receiver operator characteristic (AUC) of 0.75 with sensitivity-specificity values of 67-77%. These moderate results highlight the potential for quantitative analysis of rcSO2 to detect brain injury and thus enable early identification of high-risk infants.

1557-170X (Print) 1557-17

http://www.ncbi.nlm.nih.gov/pubmed/28324991

10.1109/EMBC.2016.7591510