Early Edema Detection Based on the Examination of Multidimensional Ultra-Wide band Data
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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Applied Computing 2012: Proceedings of the IADIS International Conference Applied computing. Hrsg. / Hans Weghorn; Pedro Isaías. IADIS Press, 2012. S. 107-114.
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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TY - CHAP
T1 - Early Edema Detection Based on the Examination of Multidimensional Ultra-Wide band Data
AU - Nguendon, Hervé
AU - Busch, Björn-Helge
AU - Welge, Ralph
N1 - Conference code: 9
PY - 2012/10/19
Y1 - 2012/10/19
N2 - 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.
AB - 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.
KW - Engineering
KW - Ultra-Wideband Sensing
KW - Intelligence System
KW - Sensor Network
KW - Self Organisation System
KW - Ontology Engineering Process
KW - Health sciences
KW - Ambient Assisted Living
KW - Detection of Health Parameters
UR - http://www.iadisportal.org/ac-2012-proceedings
UR - http://www.iadisportal.org/digital-library/early-edema-detection-based-on-the-examination-of-multidimensional-ultra-wide-band-data
M3 - Article in conference proceedings
SN - 978-989-8533-14-2
SP - 107
EP - 114
BT - Applied Computing 2012
A2 - Weghorn, Hans
A2 - Isaías, Pedro
PB - IADIS Press
T2 - IADIS International Conference on Applied Computing 2012
Y2 - 19 October 2012 through 21 October 2012
ER -