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An analyzer for preterm EEG

Total Cost €


EC-Contrib. €






Project "APE" data sheet

The following table provides information about the project.


Organization address
postcode: 14

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Finland [FI]
 Project website
 Total cost 191˙325 €
 EC max contribution 191˙325 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2015
 Duration (year-month-day) from 2015-09-01   to  2017-11-01


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Compromised early brain development leads to lifelong disabilities, which have a heavy impact on the child, families, as well as society as a whole. Advances in clinical care have led to an increasing number of babies surviving extreme prematurity. The global challenge is to avoid early brain injuries by optimizing neurological care during the early days of neonatal intensive care. This aim necessitates the use of constant, cot-side brain monitoring using the electroencephalograph (EEG), which faces formidable logistic challenges due to the need for large scale data analysis by EEG experts. The only imaginable solution for dealing with the vast amount of EEG information is to automate EEG analysis. This action proposes the development of an original, automated, cot-side Analyser for Preterm EEG (APE). This algorithm will be based on the combination of state of the art biomedical signal processing techniques and recent advances in basic developmental neuroscience. An accurate cot side EEG analyser has strong clinical potential for improving early brain care, leading to lifelong improvements in affected individuals as well as unprecedented opportunities to benchmark new brain interventions. The project will significantly develop the applicant’s career by adding new domains of human neurophysiology and basic neuroscience, bio-signal analysis, as well as conduct of international research projects to his skillset. His secondment to a well-established Finnish SME in the field, MegaEMG, will provide insight into the development of medical devices, commercialization, and regularity environment. The technology developed in this project is translatable into medical devices, providing an opportunity to enhance Europe’s status as a market leader in brain monitoring devices, as well as University of Helsinki’s standing as a centre of excellence for neonatal neurophysiology.


year authors and title journal last update
List of publications.
2017 N. J. Stevenson, L. Oberdorfer, N. Koolen, J. M. O’Toole, T. Werther, K. Klebermass-Schrehof, S. Vanhatalo
Functional maturation in preterm infants measured by serial recording of cortical activity
published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-017-13537-3
Scientific Reports 7/1 2019-06-13
2017 Ninah Koolen, Lisa Oberdorfer, Zsofia Rona, Vito Giordano, Tobias Werther, Katrin Klebermass-Schrehof, Nathan Stevenson, Sampsa Vanhatalo
Automated classification of neonatal sleep states using EEG
published pages: , ISSN: 1388-2457, DOI: 10.1016/j.clinph.2017.02.025
Clinical Neurophysiology 2019-06-13
2017 Nathan J Stevenson, Leena Lauronen, Sampsa Vanhatalo
The effect of reducing EEG electrode number on the visual interpretation of the human expert for neonatal seizure detection
published pages: , ISSN: 1388-2457, DOI: 10.1016/j.clinph.2017.10.031
Clinical Neurophysiology 2019-06-13
2017 Eero Ahtola, Susanna Stjerna, Nathan Stevenson, Sampsa Vanhatalo
Use of eye tracking improves the detection of evoked responses to complex visual stimuli during EEG in infants
published pages: 81-90, ISSN: 2467-981X, DOI: 10.1016/j.cnp.2017.03.002
Clinical Neurophysiology Practice 2 2019-06-13
2016 Nathan J. Stevenson, Geraldine B. Boylan, Lena Hellström-Westas, Sampsa Vanhatalo
Treatment Trials for Neonatal Seizures: The Effect of Design on Sample Size
published pages: e0165693, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0165693
PLOS ONE 11/11 2019-06-13

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The information about "APE" are provided by the European Opendata Portal: CORDIS opendata.

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