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Personal and Ubiquitous Computing

, Volume 15, Issue 8, pp 871–885 | Cite as

Supporting the transition from hospital to home for premature infants using integrated mobile computing and sensor support

  • Gillian R. HayesEmail author
  • Donald J. Patterson
  • Mohan Singh
  • Dana Gravem
  • Julia Rich
  • Dan Cooper
Original Article

Abstract

This paper reports on the requirements for, design of, and preliminary evaluation of a novel pervasive healthcare system for supporting the care of premature infants as they transition from hospital to home. In support of this system, we report the results of gesture sensing in a clinical setting and of interviews and focus groups with caregivers and clinicians who are involved in the postnatal transition to the home. From these results, we developed prototype systems for monitoring and tracking observations of behavioral and health-related data in the home, including a mobile phone-based capture and access system for caregivers, a sensing platform, and an activity recognition algorithm for automatically documenting infant movement. We describe the results of preliminary trials of both systems with an emphasis on the synergistic importance of bridging this transition. The results of these trials indicate that clinically relevant monitoring can be accomplished in the home, but there is still more to do to integrate these approaches into a comprehensive monitoring system for this population.

Keywords

Capture and access Activity recognition Premature infants 

Notes

Acknowledgments

We are grateful to the nurses and staff of the UCI Neonatal Intensive Care Unit for their efforts in this work. We thank Karen Cheng and Khai Truong for frequent discussions about this research that informed our thinking. We thank David Nguyen for his support in the development of the original FitBaby prototype and Pai Chou and Chongjing Chen for their support in the collection of the accelerometer data. We thank the LUCI laboratory and the ICTS at UCI for institutional support. This work was supported by a Collaborative Research Initiation Award (CRIA), an NSF CAREER Award #0846063, an award from Science Foundation Ireland, and an award from Robert Wood Johnson Foundation pioneer portfolio as part of Project HealthDesign. The Institute for Clinical and Translational Science at UCI, supported by a GCRC and then CTSA award, also provided resources for this work. All work with human subjects was approved by the University of California, Irvine Institutional Review Board under protocols HS# 2008-6380 and HS# 2008-6312.

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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  • Gillian R. Hayes
    • 1
    Email author
  • Donald J. Patterson
    • 1
  • Mohan Singh
    • 2
  • Dana Gravem
    • 3
  • Julia Rich
    • 3
  • Dan Cooper
    • 3
  1. 1.Department of Informatics, Donald Bren School of Information and Computer SciencesUniversity of California, IrvineIrvineUSA
  2. 2.School of Computer Science and InformaticsUniversity College DublinDublinIreland
  3. 3.Institute for Clinical and Translational ScienceUniversity of California, IrvineIrvineUSA

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