Steady State Detection for the Context Aware Evaluation of Vital Signs
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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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/works › Article in conference proceedings › Research › peer-review
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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 -