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A Personalized and Context-Aware Mobile Assistance System for Cardiovascular Prevention and Rehabilitation

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Ambient Assisted Living

Part of the book series: Advanced Technologies and Societal Change ((ATSC))

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Abstract

Existing approaches for personalized regulation and adaptation of physical activity for cardiovascular disease prevention and rehabilitation are often based on one quantitative parameter, usually heart rate. Other influence factors such as time of day, nutritional condition, outside temperature, exhaustion level are ignored and greatly impede an optimal personalization. In the following an innovative mobile assistance system is presented uses electrocardiogram (ECG) records as parameter for personalization (an electrocardiogram is proven to be better parameter for personalization). Moreover a “connected pedelec”, i.e. a bicycles equipped with an auxiliary motor which only assists when the cyclist pedals, is used a exercise machine. Thus, for the first time automated regulation and personalized adaptation based on ECG records are made mobile. In addition, a holistic approach is applied which also considers other parameters for the assistance during the exercise but also for the assistance before and after the exercise. As a result a more holistic approach for personalized regulation and adaptation of physical activity and individualized assistance and motivation is provided before and after exercise.

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Author information

Authors and Affiliations

  1. Institut für Wirtschaftsinformatik im Deutschen Forschungszentrum für Künstliche Intelligenz, Saarbrücken, Germany

    Alexandra Theobalt, Dirk Werth & Peter Loos

  2. Zentrum für Gesundheit der Deutschen Sporthochschule, Köln, Germany

    Boris Feodoroff

Authors
  1. Alexandra Theobalt
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  2. Boris Feodoroff
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  3. Dirk Werth
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  4. Peter Loos
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Corresponding author

Correspondence to Alexandra Theobalt .

Editor information

Editors and Affiliations

  1. Fraunhofer Institute for Computer Graphics Research, Darmstadt, Germany

    Reiner Wichert

  2. VDE-Verbandsgeschäftsstelle, Verband der Elektrotechnik Elektronik Informationstechnik e.V., Frankfurt am Main, Germany

    Helmut Klausing

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Theobalt, A., Feodoroff, B., Werth, D., Loos, P. (2014). A Personalized and Context-Aware Mobile Assistance System for Cardiovascular Prevention and Rehabilitation. In: Wichert, R., Klausing, H. (eds) Ambient Assisted Living. Advanced Technologies and Societal Change. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37988-8_11

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  • DOI: https://doi.org/10.1007/978-3-642-37988-8_11

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37987-1

  • Online ISBN: 978-3-642-37988-8

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