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

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Standard

Early Edema Detection Based on the Examination of Multidimensional Ultra-Wide band Data. / Nguendon, Hervé; Busch, Björn-Helge; Welge, Ralph.
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 SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Harvard

Nguendon, H, Busch, B-H & Welge, R 2012, Early Edema Detection Based on the Examination of Multidimensional Ultra-Wide band Data. in H Weghorn & P Isaías (Hrsg.), Applied Computing 2012: Proceedings of the IADIS International Conference Applied computing. IADIS Press, S. 107-114, IADIS International Conference on Applied Computing 2012, Madrid, Spanien, 19.10.12. <http://www.iadisportal.org/digital-library/mdownload/early-edema-detection-based-on-the-examination-of-multidimensional-ultra-wide-band-data>

APA

Vancouver

Nguendon H, Busch BH, Welge R. Early Edema Detection Based on the Examination of Multidimensional Ultra-Wide band Data. in Weghorn H, Isaías P, Hrsg., Applied Computing 2012: Proceedings of the IADIS International Conference Applied computing. IADIS Press. 2012. S. 107-114

Bibtex

@inbook{9d689a98a3ed46df9f64cae9a1c62aba,
title = "Early Edema Detection Based on the Examination of Multidimensional Ultra-Wide band Data",
abstract = "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.",
keywords = "Engineering, Ultra-Wideband Sensing, Intelligence System, Sensor Network, Self Organisation System, Ontology Engineering Process, Health sciences, Ambient Assisted Living, Detection of Health Parameters",
author = "Herv{\'e} Nguendon and Bj{\"o}rn-Helge Busch and Ralph Welge",
year = "2012",
month = oct,
day = "19",
language = "English",
isbn = "978-989-8533-14-2",
pages = "107--114",
editor = "Hans Weghorn and Pedro Isa{\'i}as",
booktitle = "Applied Computing 2012",
publisher = "IADIS Press",
note = "IADIS International Conference on Applied Computing 2012, IADIS 2012 ; Conference date: 19-10-2012 Through 21-10-2012",
url = "http://www.iadisportal.org/digital-library/iadis-international-conference-applied-computing-ac",

}

RIS

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 -