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.
Julius Hannink received his B.Sc. and M.Sc. degrees in physics in 2011 and 2014 from the University of Göttingen, Germany. Currently he is a Ph.D. candidate at the Digital Sports Group, Pattern Recognition Laboratory, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany. His work focusses on individualized, sensor-based therapy monitoring and mobility impairment analysis in neurodegenerative diseases. His research interests include wearable computing, biomedical signal analysis and machine learning for healthcare applications.
JBHI, Featured ArticlesMobile Stride Length Estimation with Deep Convolutional Neural Networks
Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Jens Barth, Samuel Schülein, Karl-Günter Gaßmann, Jochen Klucken, Bjoern M. Eskofier
Accurate estimation of spatial gait characteristics is critical to assess motor impairments resulting from neurological or musculoskeletal disease. Currently, however, methodological constraints limit clinical applicability of state-of-the-art double integration approaches to gait patterns with a clear zero-velocity phase. We describe... Read more
Posted on 28 FEB 2018