Steady State Detection for the Context Aware Evaluation of Vital Signs

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Standard

Steady State Detection for the Context Aware Evaluation of Vital Signs. / Busch, Björn-Helge; Welge, Ralph.
Wohnen – Pflege – Teilhabe: Besser leben durch Technik - 7. AAL-Kongress mit Ausstellung 21.-22. Januar 2014 in Berlin, Tagungsbeiträge. VDE Verlag GmbH, 2014.

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Harvard

Busch, B-H & Welge, R 2014, Steady State Detection for the Context Aware Evaluation of Vital Signs. in Wohnen – Pflege – Teilhabe: Besser leben durch Technik - 7. AAL-Kongress mit Ausstellung 21.-22. Januar 2014 in Berlin, Tagungsbeiträge. VDE Verlag GmbH, 7. Kongress und Ausstellung zu Alltagsunterstützenden Assistenzlösungen / Active Assisted Living - AAL 2014, Berlin, Germany, 21.01.14.

APA

Busch, B.-H., & Welge, R. (2014). Steady State Detection for the Context Aware Evaluation of Vital Signs. In Wohnen – Pflege – Teilhabe: Besser leben durch Technik - 7. AAL-Kongress mit Ausstellung 21.-22. Januar 2014 in Berlin, Tagungsbeiträge VDE Verlag GmbH.

Vancouver

Busch BH, Welge R. Steady State Detection for the Context Aware Evaluation of Vital Signs. In Wohnen – Pflege – Teilhabe: Besser leben durch Technik - 7. AAL-Kongress mit Ausstellung 21.-22. Januar 2014 in Berlin, Tagungsbeiträge. VDE Verlag GmbH. 2014

Bibtex

@inbook{9cd027181c90436a978a2e77aaadbf0d,
title = "Steady State Detection for the Context Aware Evaluation of Vital Signs",
abstract = "In the context of Ambient Assisted Living, the measurement and analysis of vital signs in the context of executed activities take a key role in knowledge processing. Regarding the typical attributes of time series covering health and metabolism parameters like respiratory rate, heart beat or other dynamic values, this article proposes an iterative multi stage approach for data handling in accordance to the Knowledge Discovery in Databases - KDD approach. In order to increase the significance of the raw data by preprocessing, procedures for the treatment of missing values, artifacts, outliers and the removal of noise components have been implemented. The consecutive step of feature extraction, the identification of segments, steady states and transients in the vital sign series which are directly linked to certain activities or activity transitions, closes the proposed data analysis process. Finally, experiments including real measurements with the subsequent discussion of the measurement results provide an outlook to the capabilities of our approach and grant information about open issues and the steps in research.",
keywords = "Informatics, Engineering",
author = "Bj{\"o}rn-Helge Busch and Ralph Welge",
note = "CD-ROM; 7. Kongress und Ausstellung zu Alltagsunterst{\"u}tzenden Assistenzl{\"o}sungen / Active Assisted Living - AAL 2014 ; Conference date: 21-01-2014 Through 21-01-2014",
year = "2014",
language = "English",
isbn = "978-3-8007-3574-7",
booktitle = "Wohnen – Pflege – Teilhabe",
publisher = "VDE Verlag GmbH",
address = "Germany",

}

RIS

TY - CHAP

T1 - Steady State Detection for the Context Aware Evaluation of Vital Signs

AU - Busch, Björn-Helge

AU - Welge, Ralph

N1 - Conference code: 7

PY - 2014

Y1 - 2014

N2 - In the context of Ambient Assisted Living, the measurement and analysis of vital signs in the context of executed activities take a key role in knowledge processing. Regarding the typical attributes of time series covering health and metabolism parameters like respiratory rate, heart beat or other dynamic values, this article proposes an iterative multi stage approach for data handling in accordance to the Knowledge Discovery in Databases - KDD approach. In order to increase the significance of the raw data by preprocessing, procedures for the treatment of missing values, artifacts, outliers and the removal of noise components have been implemented. The consecutive step of feature extraction, the identification of segments, steady states and transients in the vital sign series which are directly linked to certain activities or activity transitions, closes the proposed data analysis process. Finally, experiments including real measurements with the subsequent discussion of the measurement results provide an outlook to the capabilities of our approach and grant information about open issues and the steps in research.

AB - In the context of Ambient Assisted Living, the measurement and analysis of vital signs in the context of executed activities take a key role in knowledge processing. Regarding the typical attributes of time series covering health and metabolism parameters like respiratory rate, heart beat or other dynamic values, this article proposes an iterative multi stage approach for data handling in accordance to the Knowledge Discovery in Databases - KDD approach. In order to increase the significance of the raw data by preprocessing, procedures for the treatment of missing values, artifacts, outliers and the removal of noise components have been implemented. The consecutive step of feature extraction, the identification of segments, steady states and transients in the vital sign series which are directly linked to certain activities or activity transitions, closes the proposed data analysis process. Finally, experiments including real measurements with the subsequent discussion of the measurement results provide an outlook to the capabilities of our approach and grant information about open issues and the steps in research.

KW - Informatics

KW - Engineering

UR - https://www.vde-verlag.de/proceedings-de/453574094.html

M3 - Article in conference proceedings

SN - 978-3-8007-3574-7

BT - Wohnen – Pflege – Teilhabe

PB - VDE Verlag GmbH

T2 - 7. Kongress und Ausstellung zu Alltagsunterstützenden Assistenzlösungen / Active Assisted Living - AAL 2014

Y2 - 21 January 2014 through 21 January 2014

ER -