Skip to main content

Multi-agent Architecture for Visual Intelligent Remote Healthcare Monitoring System

  • Conference paper
  • First Online:
Hybrid Intelligent Systems (HIS 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 420))

Included in the following conference series:

Abstract

The growing numbers of elderly and dependent people leads to utilize Remote Healthcare Monitoring Systems (RHMS). RHMS are decision support systems where data collected from vital signs and home environmental sensors need to be analyzed using data mining techniques. Visualization allows gain insight into these data and the extracted knowledge. The aim of this paper is to introduce a visual intelligent RHMS. To design such real-time, complex and distributed system we propose to employ the Multi-Agent coordination technology. The proposed approach is illustrated and evaluated to assess the developed RHMS ability to improve the monitoring performance.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Barley, M., Kasabov, N.: Intelligent Agents And Multi-Agent Systems, 6th Pacific Rim International Workshop On Multi-Agent. Springer, Berlin (2005)

    Google Scholar 

  2. Choi, J., Park, J.W., Chung, J., Min, B.G.: An intelligent remote monitoring system for artificial heart. IEEE Trans. Inf Technol. Biomed. 9(4), 564–573 (2005)

    Article  Google Scholar 

  3. Mladenic, D., Lavrac, N., Bohanec, M., Moyle, S.: Data mining and Decision Support: Integration and Collaboration, p. 304. Springer-Verlag New York Inc., New York (2012)

    Google Scholar 

  4. Ltifi, H., Ben Ayed, M., Trabelsi, G., Alimi, A.M.: Using perspective wall to visualize medical data in the intensive care unit. IEEE 12th International Conference on Data Mining Workshops, IEEE Computer Society, pp. 72–78. Brussels, Belgium (2012)

    Google Scholar 

  5. Ltifi, H., Ben Mohamed, E., Ben Ayed, M.: Interactive visual KDD based temporal decision support system. Inf. Vis. 14(1), 1–20 (2015)

    Google Scholar 

  6. Daassi, C.: Interaction techniques with space time data. Ph.D. thesis in Computer Science from Joseph-Fourier University of Grenoble, France (2003)

    Google Scholar 

  7. Purbey, S., Mukherjee, K., Bhar, C.: Performance measurement system for healthcare processes. Int. J. Prod. Perform. Manage. 56(3), 241–251 (2007)

    Article  Google Scholar 

  8. Iamsumang, C., Mosleh, A., Modarres, M.: Hybrid DBN monitoring and anomaly detection algorithms for on-line SHM. IEEE 2015 Annual Reliability and Maintainability Symposium (RAMS), pp. 1–7, Palm Harbor, FL (2015)

    Google Scholar 

  9. Ltifi, H., Lepreux, S., Ben Ayed, M., Alimi, M.A.: Survey of Information Visualization Techniques for Exploitation in KDD, the 7th AICCSA-2009, Morocco, pp. 218–225 (2009)

    Google Scholar 

  10. Jennings, N.: On agent-based software engineering. Artif. Intell. 117(2), 277–296 (2000)

    Article  MATH  Google Scholar 

  11. Ltifi, H., Trabelsi, G., Ben Ayed, M., Alimi, A.M.: Dynamic decision support system based on bayesian networks, application to fight against the nosocomial infections. IJARAI 1(1), 22–29 (2012)

    Google Scholar 

  12. Ltifi, H., Kolski, C., Ben Ayed, M., Alimi, M.A.: Human-centered design approach for developing dynamic decision support system based on knowledge discovery in databases. J. Decis. Syst. 22(2), 69–96 (2013)

    Google Scholar 

  13. Plaisant, C., Mushlin, R., Snyder, A., et al.: Lifelines: using visualisation to enhance navigation and analysis of patient records. Proceedings of AMIA ‘98, pp. 76–80 (1998)

    Google Scholar 

  14. Palmius, J.: Criteria for measuring and comparing information systems. The 30th Information Systems Research Seminar in Scandinavia IRIS, pp. 1–15 (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Afef Ben Jemmaa .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Jemmaa, A.B., Ltifi, H., Ayed, M.B. (2016). Multi-agent Architecture for Visual Intelligent Remote Healthcare Monitoring System. In: Abraham, A., Han, S., Al-Sharhan, S., Liu, H. (eds) Hybrid Intelligent Systems. HIS 2016. Advances in Intelligent Systems and Computing, vol 420. Springer, Cham. https://doi.org/10.1007/978-3-319-27221-4_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-27221-4_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27220-7

  • Online ISBN: 978-3-319-27221-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics