Early Edema Detection Based on the Examination of Multidimensional Ultra-Wide band Data

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Authors

This article aims to propose a novel approach for unobtrusive vital sign acquisition based on contactless measurements in the context of Ambient Assisted Living-AAL. We focus on the utilization of baseband Ultra-Wide Band (UWB)-Sensors for distinctive preprocessing by using refractive index and dielectric constant (or complex permittivity) of multidimensional materials, complex permittivity of body tissues and feature-extraction methods for the recognition of vital signs hidden within multidimensional reflection datasets. The method of calculating the refractive index and dielectric constant of multidimensional material is based on sampling the deflection and the loss of electromagnetic waves in the experimented multilayer material. After a brief description of the application context, coherent user demands and the importance of robust data acquisition as a precondition for the achievement of prediagnosis functionality, physical fundamentals and the applied principles of spatial and temporal data mining are described. Preliminary experiments prove relevance of the proposed solutions and prepare final tests in a real world scenario.
Translated title of the contributionFrüherkennung von Ödemen auf Basis mehrdimensionaler UWB-Reflexionsmuster
Original languageEnglish
Title of host publicationApplied Computing 2012 : Proceedings of the IADIS International Conference Applied computing
EditorsHans Weghorn, Pedro Isaías
Number of pages8
PublisherIADIS Press
Publication date19.10.2012
Pages107-114
ISBN (print)978-989-8533-14-2
Publication statusPublished - 19.10.2012
EventIADIS International Conference on Applied Computing 2012 - Madrid, Spain
Duration: 19.10.201221.10.2012
Conference number: 9
http://www.iadisportal.org/digital-library/iadis-international-conference-applied-computing-ac

    Research areas

  • Engineering - Ultra-Wideband Sensing, Intelligence System, Sensor Network, Self Organisation System, Ontology Engineering Process
  • Health sciences - Ambient Assisted Living, Detection of Health Parameters

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