The Digi-NewB project for preterm infant sepsis risk and maturity analysis

Alpo Värri, Antti Kallonen, Elina Helander, Andres Ledesma Figueroa, Patrick Pladys

    Research output: Contribution to journalArticleScientificpeer-review

    18 Downloads (Pure)


    It is known from the literature that the careful analysis of the heart rate variability of a preterm infant can be used as a predictor of sepsis. The Digi-NewB project aims at collecting a database of at least 750 preterm infants including physiological signals, video and clinical observations. These data are used to design a decision support system for the early detection of sepsis and for the evaluation of the infant maturity. The preparation of the data for the exploratory analysis has turned out to be time-consuming. 190 infants have been recorded by March 2018 and of these, the R-R interval analysis of the ECG signals has been completed of 136 infants. The results of the project are still preliminary but seven heart rate variability parameters have been found to be different in preterm and full-term infants with a P value less than 0.01. The video analysis algorithm detecting the presence of personnel or relatives reached 96.8% of sensitivity and 95.1% of specificity.
    Original languageEnglish
    Pages (from-to)330-333
    Number of pages4
    JournalFinnish Journal of eHealth and eWelfare
    Issue number2-3
    Publication statusPublished - 2018
    Publication typeA1 Journal article-refereed
    Event21. Sosiaali- ja terveydenhuollon tietotekniikan ja tiedonhallinnan tutkimuspäivät: Sote kohtaa digitalisaation – haasteet ja mahdollisuudet - Paviljonki, Jyväskylä, Finland
    Duration: 21 May 201821 May 2018


    • decision support systems
    • artificial intelligence
    • preterm infant
    • sepsis risk
    • Health informatics

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Health Informatics
    • Pediatrics, Perinatology, and Child Health

    Fingerprint Dive into the research topics of 'The Digi-NewB project for preterm infant sepsis risk and maturity analysis'. Together they form a unique fingerprint.

    Cite this