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Analyzing Environmental Conditions and Vital Signs to Increase Healthy Living

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Mobile Networks for Biometric Data Analysis

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 392))

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Abstract

Present demographic change and a growing population of elderly people leads to new medical needs. Meeting these with state of the art technology is as a consequence a rapidly growing market. So this work is aimed at taking modern concepts of mobile and sensor technology and putting them in a medical context. By measuring a user’s vital signs on sensors which are processed on a Android smartphone, the target system is able to determine the current health state of the user and to visualize gathered information. The system also includes a weather forecasting functionality, which alerts the user on possibly dangerous future meteorological events. All information are collected centrally and distributed to users based on their location. Further, the system can correlate the client-side measurement of vital signs with a server-side weather history. This enables personalized forecasting for each user individually. Finally, a portable and affordable application was developed that continuously monitors the health status by many vital sensors, all united on a common smartphone.

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Author information

Authors and Affiliations

  1. HTWG Konstanz, Brauneggerstr 55, 78462, Konstanz, Germany

    Ralf Seepold, Christoph Dermati, Artur Kostka, Lars Pfeil, Ralf Lange, Matthias Hermann & Benedikt Martinez

Authors
  1. Ralf Seepold
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  2. Christoph Dermati
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  3. Artur Kostka
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  4. Lars Pfeil
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  5. Ralf Lange
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  6. Matthias Hermann
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  7. Benedikt Martinez
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Corresponding author

Correspondence to Ralf Seepold .

Editor information

Editors and Affiliations

  1. DIBET, Università Politecnica delle Marche Dipt di Ingegneria Biomed, Elettronica e, Ancona, Italy

    Massimo Conti

  2. Informatics, Reutlingen University, Reutlingen, Germany

    Natividad Martínez Madrid

  3. Computer Science / Ubiquitous Computing Lab, HTWG Konstanz, Konstanz, Germany

    Ralf Seepold

  4. Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche, Ancona, Italy

    Simone Orcioni

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Seepold, R. et al. (2016). Analyzing Environmental Conditions and Vital Signs to Increase Healthy Living. In: Conti, M., Martínez Madrid, N., Seepold, R., Orcioni, S. (eds) Mobile Networks for Biometric Data Analysis. Lecture Notes in Electrical Engineering, vol 392. Springer, Cham. https://doi.org/10.1007/978-3-319-39700-9_3

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  • DOI: https://doi.org/10.1007/978-3-319-39700-9_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39698-9

  • Online ISBN: 978-3-319-39700-9

  • eBook Packages: EngineeringEngineering (R0)

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