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Updated: May 9, 2026
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
High intensity, multimodality and incoherence: grand challenges in the analysis of data for health-enabling
Martin Kohlmann1, Matthias Gietzelt, Michael Marschollek
1Peter L. Reichertz Institute for Medical Informatics, University of Braunschweig -Institute of Technology and Hannover Medical School, Germany.
Abstract:
When working with health-enabling technologies, researchers all over the world usually have to analyze highly intensive, multimodal and incoherent data. We explain that there is a lack of systematization within the set of methods of analysis suitable for these data. As a first step towards a methodology in this context, we present the Systematic Nomenclature for Contexts, Analysis Methods and Problems in Health-Enabling Technologies (SNOCAP-HET).