Objectif 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. Champ scientifique natural sciencesbiological scienceszoologymammalogyprimatologynatural sciencesbiological sciencesneurobiologynatural sciencescomputer and information sciencesdata scienceengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processingmedical and health sciencesclinical medicinecritical care medicine Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Thème(s) MSCA-IF-2014-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF) Appel à propositions H2020-MSCA-IF-2014 Voir d’autres projets de cet appel Régime de financement MSCA-IF-EF-ST - Standard EF Coordinateur HELSINGIN YLIOPISTO Contribution nette de l'UE € 191 325,60 Adresse YLIOPISTONKATU 3 00014 Helsingin Yliopisto Finlande Voir sur la carte Région Manner-Suomi Helsinki-Uusimaa Helsinki-Uusimaa Type d’activité Higher or Secondary Education Establishments Liens Contacter l’organisation Opens in new window Site web Opens in new window Participation aux programmes de R&I de l'UE Opens in new window Réseau de collaboration HORIZON Opens in new window Coût total € 191 325,60
