Bart Vanrumste received a MSc in electrical engineering and MSc in biomedical engineering both from Ghent University in 1994 and 1998, respectively. In 2001 he received a Ph.D. in engineering from the same institute entitled ‘EEG Dipole Source Analysis in a Realistic Head Model’. He worked as a post-doctoral fellow from 2001 until 2003 at the electrical & computer engineering department of the University Of Canterbury, New Zealand. From 2003 until 2005 he was post-doctoral fellow at the department of electrical engineering (ESAT) in the STADIUS division at KU Leuven. In 2005 he was appointed professor in the engineering technology department at the ‘Katholieke Hogeschool Kempen’ in Geel and the ‘Katholieke Hogeschool Limburg. Both institutions are now integrated in the faculty of engineering technology of KU Leuven. Bart Vanrumste currently teaches courses in digital signal processing, digital image processing and machine learning. He is member of the eMedia research lab at Group T, member of the ESAT-STADIUS division and principle investigator of imec. His research interests are decision support in healthcare in general and ICT applications in active assisted living in particular. His current research activities focus among other on multimodal sensor integration for monitoring of older persons and patients with chronic diseases. He is senior member of IEEE engineering in medicine and biology and member of the international society for bioelectromagnetism.