Literature DB >> 23920741

High intensity, multimodality and incoherence: grand challenges in the analysis of data for health-enabling technologies.

Martin Kohlmann1, Matthias Gietzelt, Michael Marschollek, Bianying Song, Klaus-Hendrik Wolf, Reinhold Haux.   

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).

Mesh:

Year:  2013        PMID: 23920741

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  1 in total

1.  What Does Big Data Mean for Wearable Sensor Systems? Contribution of the IMIA Wearable Sensors in Healthcare WG.

Authors:  S J Redmond; N H Lovell; G Z Yang; A Horsch; P Lukowicz; L Murrugarra; M Marschollek
Journal:  Yearb Med Inform       Date:  2014-08-15
  1 in total

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