J-BHI publishes original papers describing recent advances in the field of biomedical and health informatics where information and communication technologies intersect with health, healthcare, life sciences and biomedicine.
Marco Altini received the M.Sc. degree in engineering and computer science from the University of Bologna, Bologna, Italy, in 2010. He is currently working toward the Ph.D. degree with the Technical University of Eindhoven, Eindhoven, The Netherlands. His current research interests include machine-learning techniques for the development and implementation of activity recognition, energy expenditure, and cardiorespiratory fitness estimation algorithms based on acceleration and physiological signals acquired using wearable sensors.
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 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