Automated analysis of neonatal EEG and decision support in the intensive care unit, including seizure detection and EEG background analysis. Online web platform for familiarizing learners with seizure patterns
Impact
Developing automated EEG analysis algorithms for research and for improving patient care. Future applications include decision support for selection of candidates with hypoxic ischaemic encephalopathy for therapeutic hypothermia. Also developing hardware, graphic user interface etc., to ultimately develop a stand alone device for noninvasive neonatal brain monitoring in the NICU
Student Experience
Presently, there is no role for McMaster Medical students in this research project, as analysis of neonatal EEG is a sub-specialized area. However, if there is interest from a student to be involved long-term (1-2 years) with a goal of learning more about neonatal EEG, we will be happy to accommodate them.
Countries
Belgium, Netherlands
Impact
Research, Education, Global Partnerships
Institutional Partner(s)
Erasmus MC, University Medical Center, Rotterdam, Katholieke Universitieit Leuven, Belgium, Gent University, Belgium
Community Partner(s)
Industry Partner(s)
Key Outcomes
Publications, Patents, Spin-offs
Sponsorship
Foreign
Sponsorship Details
Flemish (Belgian) government grant IWT (since 2013)
