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Article Dans Une Revue Biomedical Signal Processing and Control Année : 2015

Artifact rejection and cycle detection in immature breathing: Application to the early detection of neonatal sepsis

Résumé

This paper proposes a new framework to obtain quality respiratory variability signals from the raw breathing recorded in neonatal intensive care units (NICUs). It combines three consecutive blocks: an automatic rejection of artifacts, implemented by a logistic regression classifier, a two-step filtering process, and the identification of respiratory cycles, imple-mented by a peak detection algorithm. By means of a gold standard built from a preterm infants database, the performances of the first and third blocks have been evaluated. While the former obtains a 86% of specificity and sensitivity, the latter attains a respective 97%. The interest of our proposal in the clinical domain is illustrated by a promising application to detect promptly and non-invasively the presence of neonatal sepsis in the NICU.
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Dates et versions

hal-01082989 , version 1 (14-11-2014)

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X Navarro, F Porée, A Beuchée, G Carrault. Artifact rejection and cycle detection in immature breathing: Application to the early detection of neonatal sepsis. Biomedical Signal Processing and Control, 2015, 16, pp.9 - 16. ⟨10.1016/j.bspc.2014.10.007⟩. ⟨hal-01082989⟩
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