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Medical cyber-physical systems

Medical cyber-physical systems

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In this chapter, we explain the background of medical cyber-physical systems (MCPSs) and discuss some recent promising directions. This is then followed by an overview of some of the issues investigated recently, and the kind of solutions and architectures that have been proposed, including related work with some technical discussions. Finally, there is a section on challenges and opportunities that describes some of the future issues that need to be addressed. Humans-in-the-loop MCPS are of particular interest: active input modes include digital pens, smartphones and automatic handwriting recognition for a direct digitisation of patient data. Passive input modes include sensors of the clinical environment and/or mobile smartphones. This combination of knowledge acquisition input sources (while using machine learning techniques) has not yet been explored in clinical environments and is of specific interest because it combines previously unconnected information sources for individualised treatments. Model-based developments and user-centred design have major roles to play in achieving this goal.

Chapter Contents:

  • 13.1 Introduction
  • 13.2 Background and related works
  • 13.2.1 Model-based developments
  • 13.2.2 Medical guidelines
  • 13.2.3 User-centred design
  • 13.3 Technical components
  • 13.3.1 Real-time dialogue server
  • 13.3.2 Mobile sensor architecture for continuous monitoring and care
  • 13.3.3 Data mining suite
  • 13.3.4 Semantic model for clinical information and patients
  • 13.4 Towards cognitive prostheses
  • 13.5 Challenges and opportunities
  • 13.5.1 Clinical data intelligence models
  • 13.5.2 Semantic patient models and intelligent access
  • 13.5.3 Towards integrated decision support
  • 13.6 Conclusion
  • Acknowledgments
  • References

Inspec keywords: learning (artificial intelligence); knowledge acquisition; medical computing; graphical user interfaces; mobile computing; handwriting recognition; user centred design; cyber-physical systems; smart phones

Other keywords: clinical environment sensors; medical cyber-physical systems; user-centred design; patient data digitisation; knowledge acquisition input sources; human-in-the-loop MCPS; model-based development; automatic handwriting recognition; active input modes; machine learning technique; digital pens; passive input modes; mobile smart phones

Subjects: Knowledge engineering techniques; Ergonomic aspects of computing; Graphical user interfaces; Biology and medical computing; Ubiquitous and pervasive computing

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