Signal processing and classification for identification of clinically important parameters during neonatal resuscitation

Jarle Urdal, Kjersti Engan, Trygve Eftestol, Hussein Kidanto, Ladislaus Blacy Yarrot, Joar Eilevstjonn, Hege Ersdal

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Neonatal mortality is a global challenge. One million newborns die each year within their first 24 hours as a result of complications during labour and birth asphyxia. Most of these deaths happen in low resource settings. However, basic resuscitation at birth can increase newborn survival. Identification of initial factors and simple therapeutic strategies determinant for neonatal outcome can aid health care workers provide the best follow-up during resuscitation. In this work, the initial condition of the newborn, the treatment given, and early heart rate response from manual bag mask ventilation are parameterized. The features are investigated in a machine learning framework to identify which features are determinant for the different outcomes. Using a selection of the defined features, an identification rate of 89% for newborns in the normal group, and an identification rate of 74% for episodes ending in death was found. This points to the direction of identifying the important factors of newborn survival.

Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages547-552
Number of pages6
ISBN (Electronic)9781509055593
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event5th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2017 - Kuching, Sarawak, Malaysia
Duration: 12 Sept 201714 Sept 2017

Publication series

NameProceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2017

Conference

Conference5th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2017
Country/TerritoryMalaysia
CityKuching, Sarawak
Period12/09/1714/09/17

Fingerprint

Dive into the research topics of 'Signal processing and classification for identification of clinically important parameters during neonatal resuscitation'. Together they form a unique fingerprint.

Cite this