Unobtrusive Detection of Respiratory Rate through UWB-Sensing for Applications of Ambient Assisted Living

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

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Unobtrusive Detection of Respiratory Rate through UWB-Sensing for Applications of Ambient Assisted Living. / Busch, Björn-Helge; Nguendon, Hervé; Welge, Ralph.
IADIS International Press: Applied Computing 2012. IADIS Press, 2012. S. 91-98.

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Harvard

Busch, B-H, Nguendon, H & Welge, R 2012, Unobtrusive Detection of Respiratory Rate through UWB-Sensing for Applications of Ambient Assisted Living. in IADIS International Press: Applied Computing 2012. IADIS Press, S. 91-98, IADIS International Conference on Applied Computing 2012, Madrid, Spanien, 19.10.12.

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Vancouver

Bibtex

@inbook{a2959276de5342829faf6e7ec4f0ddeb,
title = "Unobtrusive Detection of Respiratory Rate through UWB-Sensing for Applications of Ambient Assisted Living",
abstract = "This contribution deals with an innovative approach for non-stigmatizing and continuous acquisition of vital signs for applications in the context of Ambient Assisted Living – AAL. Utilizing UWB-sensor components, the aimed vital sign acquisition is based on a mixture of collaborative techniques of preprocessing, feature extraction and information fusion for the treatment of multidimensional reflection data sets from the UWB-sensor. After a brief introduction to the ap¬plication context including specific user demands, physical fundamentals of measurement and utilized electronics, the applied principles of spatial and temporal data mining are described. Hereafter, the implementation within an AAL-infra¬structure is explained and tested in a real world scenario resp. in our living lab mapping a typical residential of a senior citizen. Additionally, preliminary measurement campaigns prove accuracy and robustness of our approach and our further improvements according to certain limitations caused by sensor topology. Discussion and outlook close the article.",
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 = "Bj{\"o}rn-Helge Busch and Herv{\'e} Nguendon and Ralph Welge",
year = "2012",
month = oct,
day = "19",
language = "English",
isbn = "978-989-8533-14-2",
pages = "91--98",
booktitle = "IADIS International Press",
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 - Unobtrusive Detection of Respiratory Rate through UWB-Sensing for Applications of Ambient Assisted Living

AU - Busch, Björn-Helge

AU - Nguendon, Hervé

AU - Welge, Ralph

N1 - Conference code: 9

PY - 2012/10/19

Y1 - 2012/10/19

N2 - This contribution deals with an innovative approach for non-stigmatizing and continuous acquisition of vital signs for applications in the context of Ambient Assisted Living – AAL. Utilizing UWB-sensor components, the aimed vital sign acquisition is based on a mixture of collaborative techniques of preprocessing, feature extraction and information fusion for the treatment of multidimensional reflection data sets from the UWB-sensor. After a brief introduction to the ap¬plication context including specific user demands, physical fundamentals of measurement and utilized electronics, the applied principles of spatial and temporal data mining are described. Hereafter, the implementation within an AAL-infra¬structure is explained and tested in a real world scenario resp. in our living lab mapping a typical residential of a senior citizen. Additionally, preliminary measurement campaigns prove accuracy and robustness of our approach and our further improvements according to certain limitations caused by sensor topology. Discussion and outlook close the article.

AB - This contribution deals with an innovative approach for non-stigmatizing and continuous acquisition of vital signs for applications in the context of Ambient Assisted Living – AAL. Utilizing UWB-sensor components, the aimed vital sign acquisition is based on a mixture of collaborative techniques of preprocessing, feature extraction and information fusion for the treatment of multidimensional reflection data sets from the UWB-sensor. After a brief introduction to the ap¬plication context including specific user demands, physical fundamentals of measurement and utilized electronics, the applied principles of spatial and temporal data mining are described. Hereafter, the implementation within an AAL-infra¬structure is explained and tested in a real world scenario resp. in our living lab mapping a typical residential of a senior citizen. Additionally, preliminary measurement campaigns prove accuracy and robustness of our approach and our further improvements according to certain limitations caused by sensor topology. Discussion and outlook close the article.

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

M3 - Article in conference proceedings

SN - 978-989-8533-14-2

SP - 91

EP - 98

BT - IADIS International Press

PB - IADIS Press

T2 - IADIS International Conference on Applied Computing 2012

Y2 - 19 October 2012 through 21 October 2012

ER -