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International Conference on Information and Software Technologies

ICIST 2017: Information and Software Technologies pp 190–202Cite as

TIROL: The Extensible Interconnectivity Layer for mHealth Applications

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 756))

Abstract

The prevalence of various chronic conditions is on the rise. Periodic screenings and a persistent therapy are necessary in order to aid the patients. Increasing medical costs and overburdened physicians are the consequences. A telemedical self-management of the illness is considered as the answer to this problem. For this purpose mHealth applications, i.e., the synergy of common smartphones and medical metering devices, are vitally needed. However, poor device interoperability due to heterogeneous connectivity methods hamper the usage of such applications. For this very reason, we introduce the concept for an exTensible InteRcOnnectivity Layer (TIROL) to deal with the interconnectivity issues of mHealth applications. Furthermore, we present a prototypical implementation for TIROL to demonstrate the benefits of our approach.

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Notes

  1. 1.

    See www.beurer.com/web/us/products/pulseoximeter/pulse_oximeter/PO-80.

  2. 2.

    See www.ihealthlabs.com/wireless-scales/wireless-body-analysis-scale.

  3. 3.

    Let a be the number of application and d the number of devices.

  4. 4.

    Let h be the number of health domains and m the number of device models.

  5. 5.

    The quality of a Resource is defined respecting a given criterion, e.g., accuracy.

References

  1. Chan, M., et al.: Smart wearable systems: current status and future challenges. Artif. Intell. Med. 56(3), 137–156 (2012)

    Article  Google Scholar 

  2. Continua: H.811 Personal Health Devices Interface Design Guidelines. Specification, Personal Connected Health Alliance (2016)

    Google Scholar 

  3. Fang, B., et al.: BodyScan: Enabling radio-based sensing on wearable devices for contactless activity and vital sign monitoring. In: MobiSys 2016 (2016)

    Google Scholar 

  4. Gupta, N.: Inside Bluetooth Low Energy. Artech House Publishers, Boston (2013)

    Google Scholar 

  5. Hester, J., et al.: Amulet: an energy-efficient, multi-application wearable platform. In: SenSys 2016 (2016)

    Google Scholar 

  6. Hughes, R.D., et al.: Health Device Profile. Specification, Bluetooth SIG (2012)

    Google Scholar 

  7. IEEE: ISO/IEC/IEEE Health informatics-Personal health device communication-Part 20601. IEEE Standard ISO/IEEE 11073–20601:2014 (2014)

    Google Scholar 

  8. Kouris, I., Koutsouris, D.: Identifying risky environments for COPD patients using smartphones and internet of things objects. Int. J. Comput. Intell. Stud. 3(1), 1–17 (2014)

    Article  Google Scholar 

  9. Lorincz, K., et al.: Mercury: a wearable sensor network platform for high-fidelity motion analysis. In: SenSys 2009 (2009)

    Google Scholar 

  10. Mare, S., et al.: Hide-n-Sense: preserving privacy efficiently in wireless mHealth. Mobile Netw. Appl. 19(3), 331–344 (2014)

    Article  Google Scholar 

  11. Masaud-Wahaishi, A., Ghenniwa, H.: Privacy based information brokering for cooperative distributed e-Health systems. J. Emerg. Technol. Web Intell. 1(2), 161–171 (2009)

    Google Scholar 

  12. Mishra, S.M.: Wearable Android: Android Wear and Google FIT App Development. Wiley Online Library (2015)

    Google Scholar 

  13. Murnane, E.L., et al.: Mobile health apps: adoption, adherence, and abandonment. In: UbiComp/ISWC 2015 (2015)

    Google Scholar 

  14. O’Donoghue, J., Herbert, J.: Data management within mHealth environments: patient sensors, mobile devices, and databases. J. Data Inf. Qual. 4(1), 5:1–5:20 (2012)

    MathSciNet  Google Scholar 

  15. Otto, C., et al.: System architecture of a wireless body area sensor network for ubiquitous health monitoring. J. Mobile Multimed. 1(4), 307–326 (2005)

    Google Scholar 

  16. Siewiorek, D.: Generation smartphone. IEEE Spectr. 49(9), 54–58 (2012)

    Article  Google Scholar 

  17. Silva, B.M., et al.: Mobile-health: a review of current state in 2015. J. Biomed. Inform. 56, 265–272 (2015)

    Article  Google Scholar 

  18. Soceanu, A., et al.: Towards interoperability of eHealth system networked components. In: CSCS 2013 (2013)

    Google Scholar 

  19. Sorber, J., et al.: An amulet for trustworthy wearable mHealth. In: HotMobile 2012 (2012)

    Google Scholar 

  20. Stach, C., Mitschang, B.: Privacy management for mobile platforms - a review of concepts and approaches. In: MDM 2013 (2013)

    Google Scholar 

  21. Stach, C., Mitschang, B.: Design and implementation of the privacy management platform. In: MDM 2014 (2014)

    Google Scholar 

  22. Stach, C., Mitschang, B.: The secure data container: an approach to harmonize data sharing with information security. In: MDM 2016 (2016)

    Google Scholar 

  23. Stollmann: Terminal I/O Profile. Client implementation guide. Stollmann Entwicklungs- und Vertriebs-GmbH (2015)

    Google Scholar 

  24. de Toledo, P., et al.: Telemedicine experience for chronic care in COPD. IEEE Trans. Inf Technol. Biomed. 10(3), 567–573 (2006)

    Article  MathSciNet  Google Scholar 

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Author information

Authors and Affiliations

  1. Institute for Parallel and Distributed Systems, University of Stuttgart, Universitätstraße 38, 70569, Stuttgart, Germany

    Christoph Stach, Frank Steimle & Ana Cristina Franco da Silva

Authors
  1. Christoph Stach
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  2. Frank Steimle
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  3. Ana Cristina Franco da Silva
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Corresponding author

Correspondence to Christoph Stach .

Editor information

Editors and Affiliations

  1. Kaunas University of Technology, Kaunas, Lithuania

    Robertas Damaševičius

  2. Kaunas University of Technology, Kaunas, Lithuania

    Vilma Mikašytė

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Stach, C., Steimle, F., Franco da Silva, A.C. (2017). TIROL: The Extensible Interconnectivity Layer for mHealth Applications. In: Damaševičius, R., Mikašytė, V. (eds) Information and Software Technologies. ICIST 2017. Communications in Computer and Information Science, vol 756. Springer, Cham. https://doi.org/10.1007/978-3-319-67642-5_16

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  • DOI: https://doi.org/10.1007/978-3-319-67642-5_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67641-8

  • Online ISBN: 978-3-319-67642-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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