BIOMEDICAL DATA PROCESSING: Challenges in newborn brain protection

by Sabine Van Huffel

KU Leuven, Dept of Electrical Engineering-ESAT, Stadius Center for Dynamical Systems, Signal Processing and Data Analytics, 3001 Leuven, Belgium



After a general brief introduction of the BIOMED research group including the research topics under study, several key problems encountered in newborn brain protection in the Neonatal Intensive Care Unit (NICU) are highlighted each of which influences the mental development of the newborn. In particular, we will focus on


1. Monitoring abnormality of background Electro-EncephaloGraphy (EEG)

2. Automating seizure detection

3. Quantifying sleep-wake cycling stages from preterm to term 

4. Assessing preterm brain maturation using neural growth charts

5. Effects of perinatal stress  on EEG-based brain dysmaturity


Each key problem will be introduced including the main algorithms based on advanced signal processing and machine (deep) learning, together with the associated challenges before using these in clinical practice.  This research strongly benefits from a long-term collaboration with the Neonatal Intensive Care Unit of UZ Leuven, led by professor Gunnar Naulaers.

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Sabine Van Huffel

Full Professor of Biomedical Engineering at the Department of Electrical

Engineering (ESAT) of the KU Leuven (period: 2002-2020) and Programme Director of the Master of Science in Biomedical Engineering KU Leuven (period: 2016-2020). Since October 1, 2020, she is Professor Emerita with duties. She received a Master degree in Computer Science Engineering, a postgraduate in Biomedical Engineering and a Ph.D. degree in Electrical Engineering from the KU Leuven, in 1981, 1985 and 1987, respectively. She was a guest professor at Stanford University (USA) in 2000 and at Uppsala University (Sweden) in 2002. She is IEEE, SIAM and EAMBES founding fellow and member of the Royal Flemish Academy of Belgium for Sciences and the Arts. In April 2013 she received an honorary doctorate from Eindhoven University of Technology (NL), together with an appointment as a Distinguished professor since 2014. 

She has built up a large biomedical data processing research group (>30 people), renowned for their expertise in numerical (multi)linear algebra, biosignal processing, machine learning & AI, as well as the development of numerical algorithms and software, and their applications in biomedical multimodal- and multichannel processing for improving medical diagnostics. Her expertise techniques comprise EEG-fMRI, multiparametric MRI, ECG and EEG with focus on epilepsy and neonatal monitoring. She is ERC grant holder (advanced grant 339804 BIOTENSORS 2014-2019). 

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Uhrzeit: 6.Mai.2021 04:00 PM Amsterdam, Berlin, Rom, Stockholm, Wien
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Kiel University
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