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

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Yksityiskohdat

Alkuperäiskieli	Englanti
Sivut	330-333
Sivumäärä	4
Julkaisu	Finnish Journal of eHealth and eWelfare
Vuosikerta	10
Numero	2-3
DOI - pysyväislinkit	https://doi.org/10.23996/fjhw.69152
Tila	Julkaistu - 2018
OKM-julkaisutyyppi	A1 Alkuperäisartikkeli
Tapahtuma	21. Sosiaali- ja terveydenhuollon tietotekniikan ja tiedonhallinnan tutkimuspäivät: Sote kohtaa digitalisaation – haasteet ja mahdollisuudet - Paviljonki, Jyväskylä, Suomi Kesto: 21 toukokuuta 2018 → 21 toukokuuta 2018 https://www.stty.org/tutkimuspaivat

Tiivistelmä

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.

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