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

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

doi:10.23996/fjhw.69152

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

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

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

27 Lataukset (Pure)

Abstrakti

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.

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 tieteellisessä aikakauslehdessä
Tapahtuma	21. Sosiaali- ja terveydenhuollon tietotekniikan ja tiedonhallinnan tutkimuspäivät: Sote kohtaa digitalisaation – haasteet ja mahdollisuudet - Paviljonki, Jyväskylä, Suomi Kesto: 21 toukok. 2018 → 21 toukok. 2018 https://www.stty.org/tutkimuspaivat

Julkaisufoorumi-taso

Jufo-taso 1

!!ASJC Scopus subject areas

Health Informatics
Pediatrics, Perinatology, and Child Health

Pääsy asiakirjaan

10.23996/fjhw.69152Lisenssi: CC BY

69152-Article Text-92366-1-10-20180520
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. http://creativecommons.org/licenses/by-nc-nd/4.0/
Final published version, 378 KBLisenssi: CC BY

http://urn.fi/URN:NBN:fi:tty-201806212016Lisenssi: CC BY

1 Jäsenyys seurassa tai verkostossa
1 Nimitetty asiantuntija- tai luottamustehtävä akateemisessa yhteisössä

Sosiaali- ja terveydenhuollon tietojenkäsittely-yhdistys (Ulkoinen yksikkö)
Värri, A. (Member)
2018 → …
Aktiviteetti: Jäsenyys seurassa tai verkostossa
Sosiaali- ja terveydenhuollon tietojenkäsittely-yhdistys (Ulkoinen yksikkö)
Värri, A. (Member)
2018 → …
Aktiviteetti: Nimitetty asiantuntija- tai luottamustehtävä akateemisessa yhteisössä

Tiedosto

Siteeraa tätä

@article{909cd3cd0b3c445b9ed7c1af8201e9f2,

title = "The Digi-NewB project for preterm infant sepsis risk and maturity analysis",

abstract = "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.",

keywords = "decision support systems, artificial intelligence, preterm infant, sepsis risk, Health informatics",

author = "Alpo V{\"a}rri and Antti Kallonen and Elina Helander and \{Ledesma Figueroa\}, Andres and Patrick Pladys",

year = "2018",

doi = "10.23996/fjhw.69152",

language = "English",

volume = "10",

pages = "330--333",

journal = "Finnish Journal of eHealth and eWelfare",

issn = "1798-0798",

publisher = "Sosiaali- ja terveydenhuollon tietojenk{\"a}sittely-yhdistys ry",

number = "2-3",

note = "21. Sosiaali- ja terveydenhuollon tietotekniikan ja tiedonhallinnan tutkimusp{\"a}iv{\"a}t : Sote kohtaa digitalisaation – haasteet ja mahdollisuudet, SoTeTiTe-2018 ; Conference date: 21-05-2018 Through 21-05-2018",

url = "https://www.stty.org/tutkimuspaivat",

}

TY - JOUR

T1 - The Digi-NewB project for preterm infant sepsis risk and maturity analysis

AU - Värri, Alpo

AU - Kallonen, Antti

AU - Helander, Elina

AU - Ledesma Figueroa, Andres

AU - Pladys, Patrick

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - decision support systems

KW - artificial intelligence

KW - preterm infant

KW - sepsis risk

KW - Health informatics

U2 - 10.23996/fjhw.69152

DO - 10.23996/fjhw.69152

M3 - Article

SN - 1798-0798

VL - 10

SP - 330

EP - 333

JO - Finnish Journal of eHealth and eWelfare

JF - Finnish Journal of eHealth and eWelfare

IS - 2-3

T2 - 21. Sosiaali- ja terveydenhuollon tietotekniikan ja tiedonhallinnan tutkimuspäivät

Y2 - 21 May 2018 through 21 May 2018

ER -

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

Abstrakti

Julkaisufoorumi-taso

!!ASJC Scopus subject areas

Pääsy asiakirjaan

Sormenjälki

Aktiviteetit

Sosiaali- ja terveydenhuollon tietojenkäsittely-yhdistys (Ulkoinen yksikkö)

Sosiaali- ja terveydenhuollon tietojenkäsittely-yhdistys (Ulkoinen yksikkö)

Siteeraa tätä