Skip to main content
SpringerLink
Log in
Book cover

International Conference on Active Media Technology

AMT 2014: Active Media Technology pp 453–463Cite as

Multi-agent Solution for Adaptive Data Analysis in Sensor Networks at the Intelligent Hospital Ward

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8610))

Abstract

This paper introduces a multi-agent solution for remote monitoring based on wireless network of sensors that are used to collect and process medical data describing the current patient state. A multi-agent architecture is provided for a sensor network of medical devices, which is able to adaptively react to various events in real time. To implement this solution it is proposed to partially process the data by autonomous medical devices without transmitting it to the server and adapt the sampling intervals on the basis of the non-equidistant time series analysis. The solution is illustrated by simulation results and clinical deployment.

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Andreev, V., Glashchenko, A., Ivaschenko, A., Inozemtsev, S., Rzevski, G., Skobelev, P., Shveykin, P.: Magenta multi-agent systems for dynamic scheduling. In: Proceedings of the 1st International Conference on Agents and Artificial Intelligence (ICAART 2009), pp. 489–496 (2009)

    Google Scholar 

  2. Glaschenko, A., Ivaschenko, A., Rzevski, G., Skobelev, P.: Multi-agent real time scheduling system for taxi companies. In: Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), Budapest, Hungary, pp. 29–36 (2009)

    Google Scholar 

  3. Ivaschenko, A., Dmitriev, A., Cherepanov, A., Vaisblat, A., Kolsanov, A.: “Virtual Surgeon” training suite for laparoscopy, endovascular and open surgery simulation. In: Proceedings of the 27th European Simulation and Modeling Conference (ESM 2013), pp. 114–118. EUROSIS-ETI, Lancaster University (2013)

    Google Scholar 

  4. Prokhorov, S.: Applied analysis of random processes, Samara scientific center of RAS., 582 p. (2007), http://window.edu.ru/resource/665/58665/files/9_pasp.pdf

  5. Ivaschenko, A., Lednev, A.: Time-based regulation of auctions in P2P outsourcing. In: Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence (WI) and Intelligent Agent Technology (IAT), Atlanta, Georgia, USA, pp. 75–79 (2013)

    Google Scholar 

  6. Leitão, P.: Holonic rationale and self-organization on design of complex evolvable systems. In: Mařík, V., Strasser, T., Zoitl, A. (eds.) HoloMAS 2009. LNCS, vol. 5696, pp. 1–12. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  7. Kalina, P., Vokřínek, J., Mařík, V.: The art of negotiation: developing efficient agent-based algorithms for solving vehicle routing problem with time windows. In: Mařík, V., Lastra, J.L.M., Skobelev, P. (eds.) HoloMAS 2013. LNCS, vol. 8062, pp. 187–198. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  8. Gorodetskii, V.I.: Self-organization and multiagent systems: I. Models of multiagent self-organization. Journal of Computer and Systems Sciences International 51(2), 256–281 (2012)

    Article  MathSciNet  Google Scholar 

  9. Bergenti, F., Poggi, A.: Multi-agent systems for E-health: Recent projects and initiatives. In: 10th International Workshop on Objects and Agents (2009)

    Google Scholar 

  10. Reynolds, H.N., Rogove, H., Bander, J., McCambridge, M., Cowboy, E., Niemeier, M.: Telemedicine and e-Health 17(10), 773–783 (2011), doi:10.1089/tmj.2011.0045

    Google Scholar 

  11. Decision support systems (February 17, 2009), http://www.openclinical.org/dss.html

  12. Sahandi, R., Noroozi, S., Roushanbakhti, G., Heaslip, V., Liu, Y.: Wireless technology in the evolution of patient monitoring on general hospital wards. Journal of Medical Engineering and Technology 34(1), 51–63 (2010)

    Article  Google Scholar 

  13. Liu, Y., Sahandi, R.: ZigBee network for remote patient monitoring. In: IEEE 22nd International Symposium on Information, Communication and Automation Technologies, Sarajevo, Bosnia & Herzegovina, October 29-31, pp. 1–7 (2009)

    Google Scholar 

  14. Shnayder, V., Chen, B., Lorincz, K., Fulford-Jones, T.R.F., Welsh, M.: Sensor networks for medical care. Technical Report TR-08-05, Division of Engineering and Applied Sciences, Harvard University (2005), http://www.eecs.harvard.edu/mdw/proj/codeblue

  15. Aminian, M., Naji, H.R.: A hospital healthcare monitoring system using wireless sensor networks. J. Health Med. Inform. 4, 121 (2013), doi:10.4172/2157-7420.1000121

    Google Scholar 

  16. Schoder, D., Fischbach, K.: Peer-to-peer prospects. Communications of the ACM 46(2), 27–29 (2003)

    Article  Google Scholar 

  17. Minar, N.: Distributed systems topologies: Part 1 (2001), http://www.openp2p.com/pub/a/p2p/2001/12/14/topologies_one.html

  18. Weisstein, E.W.: Heaviside step function. From MathWorld – A Wolfram Web Resource (2013), http://mathworld.wolfram.com/HeavisideStepFunction.html

Download references

Author information

Authors and Affiliations

  1. Samara State Aerospace University, Samara, Russia

    Anton Ivaschenko

  2. Magenta Technology Development Center, Samara, Russia

    Anton Minaev

Authors
  1. Anton Ivaschenko
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Anton Minaev
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. University of Warsaw and Infobright Inc., Poland

    Dominik Ślȩzak

  2. Department of Computer Science, Loughborough University, Loughborough, U.K.

    Gerald Schaefer

  3. Computer Science Department, University of British Columbia, 2366 Main Mall, P.O. Box, Vancouver, B.C., Canada

    Son T. Vuong

  4. Department of Information & Communication Engineering, Inha University, Korea

    Yoo-Sung Kim

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Ivaschenko, A., Minaev, A. (2014). Multi-agent Solution for Adaptive Data Analysis in Sensor Networks at the Intelligent Hospital Ward. In: Ślȩzak, D., Schaefer, G., Vuong, S.T., Kim, YS. (eds) Active Media Technology. AMT 2014. Lecture Notes in Computer Science, vol 8610. Springer, Cham. https://doi.org/10.1007/978-3-319-09912-5_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-09912-5_38

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09911-8

  • Online ISBN: 978-3-319-09912-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation