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Modeling Opportunities in mHealth Cyber-Physical Systems

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Mobile Health

Abstract

Cyber-physical systems, with their focus on creating closed-loop systems, have transformed a wide range of areas (e.g., flight systems, industrial plants, robotics, etc.). However, even after a century of health research we still lack dynamic computational models of human health and its interactions with the environment, let alone a full closed-loop cyber-physical system. A major hurdle to developing cyber-physical systems in the medical and health fields has been the lack of high-resolution data on changes in both outcomes and predictive variables in the natural environment. There are many public and private initiatives addressing these measurement issues and the health research community is witnessing rapid progress in this area. Consequently, there is an emerging opportunity to develop cyber-physical systems for mobile health (mHealth). This chapter describes research challenges in developing cyber-physical system models to build effective and safe mHealth interventions. Doing so involves significant advances in modeling of health, biology, and behavior and their interactions with the environment and response of humans to the mHealth interventions.

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Acknowledgments

This chapter summarizes some of the research agenda that emerged at the National Workshop on Computational Challenges in Future Mobile Health (mHealth) Systems and Applications, sponsored by the National Science Foundation (NSF) under its award number IIS-1446409. Any opinions, findings, and conclusion or recommendations expressed in this chapter are those of the authors and do not necessarily reflect the view of the NSF.

Author information

Authors and Affiliations

  1. National Science Foundation, Arlington, VA, USA

    Wendy Nilsen

  2. The Ohio State University, Columbus, OH, USA

    Emre Ertin

  3. Arizona State University, Tempe, AZ, USA

    Eric B. Hekler

  4. Department of Computer Science, University of Memphis, Memphis, TN, USA

    Santosh Kumar

  5. University of Pennsylvania, Philadelphia, PA, USA

    Insup Lee & Rahul Mangharam

  6. Northeastern University, Boston, MA, USA

    Misha Pavel

  7. College of Computing, Georgia Institute of Technology, Atlanta, GA, USA

    James M. Rehg

  8. National Institutes of Health, Bethesda, MD, USA

    William Riley

  9. Control Systems Engineering Laboratory, School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ, USA

    Daniel E. Rivera

  10. University of Southern California, Los Angeles, CA, USA

    Donna Spruijt-Metz

Authors
  1. Wendy Nilsen
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  2. Emre Ertin
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  3. Eric B. Hekler
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  4. Santosh Kumar
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  5. Insup Lee
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  6. Rahul Mangharam
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  7. Misha Pavel
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  8. James M. Rehg
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  9. William Riley
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  10. Daniel E. Rivera
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  11. Donna Spruijt-Metz
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Corresponding author

Correspondence to Wendy Nilsen .

Editor information

Editors and Affiliations

  1. College of Computing, Georgia Institute of Technology, Atlanta, Georgia, USA

    James M. Rehg

  2. Department of Statistics, University of Michigan, Ann Arbor, Michigan, USA

    Susan A. Murphy

  3. Department of Computer Science, University of Memphis, Memphis, Tennessee, USA

    Santosh Kumar

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Nilsen, W. et al. (2017). Modeling Opportunities in mHealth Cyber-Physical Systems. In: Rehg, J., Murphy, S., Kumar, S. (eds) Mobile Health. Springer, Cham. https://doi.org/10.1007/978-3-319-51394-2_23

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  • DOI: https://doi.org/10.1007/978-3-319-51394-2_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51393-5

  • Online ISBN: 978-3-319-51394-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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