Julien Penders received the M.Sc. degree in systems engineering from University of Liege, Liege, Belgium, in 2004, and the M.Sc. degree in biomedical engineering from Boston University, Boston, MA, USA, in 2006. He is currently the Program Manager at the Holst Centre/IMEC, Eindhoven, The Netherlands, where he leads the activities on body area networks. He is responsible for the development of integrated wearable health monitoring systems, development of embedded algorithms and the evaluation of integrated prototypes in field studies. He has (co-) authored over 50 papers in the field of body area networks and autonomous wireless sensor networks and is the author of two book chapters on the topic. He serves on the Technical Committee on Information Technology for Health, on the Technical Program Committee for the Wireless Health conference, and is an Associate Editor for the IEEE Engineering in Medicine and Biology Society conference. Mr. Penders was a 2004/2005 Fellow of the Belgian American Educational Foundation.
JBHI, Featured ArticlesPersonalization of Energy Expenditure Estimation in Free Living Using Topic Models
We introduce an approach to personalize energy expenditure (EE) estimates in free living. First we use Topic Models (TM) to discover activity composites from recognized activity primitives and stay regions in daily living data. Subsequently, we determine activity composites that... Read more
Posted on 31 AUG 2015
JBHI, Featured ArticlesWearable, Wireless EEG Solutions in Daily Life Applications: What are we missing?
V. Mihajlović, B. Grundlehner, R. Vullers, J. Penders To take full advantage of noninvasive surface EEG recordings, EEG technology has to be advanced to a level that it can be used in daily life activities. Furthermore, users have to see it... Read more
Posted on 16 DEC 2014
JBHI, Featured ArticlesEstimating Energy Expenditure Using Body-Worn Accelerometers: a Comparison of Methods, Sensors Number and Positioning
M. Altini, J. Penders, R. Vullers and O. Amft Several methods to estimate Energy Expenditure (EE) using body-worn sensors exist, however quantifications of the differences in estimation error are missing. In this paper, we compare three prevalent EE estimation methods and... Read more
Posted on 16 DEC 2014