Article

Context aware body area networks for telemedicine

Authors:

J. PeuscherAuthors Info & Claims

PCM'07: Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing

Pages 590 - 599

Published: 11 December 2007 Publication History

Abstract

A Body Area Network (BAN) is a body worn system which provides the user with a set of mobile services. A BAN incorporates a set of devices (eg. mp3 player, video camera, speakers, microphone, head-up display, positioning device, sensors, actuators). A BAN service platform for mobile healthcare and several health BANs targetting different clinical applications have been developed at the University of Twente. Each specialization of the BAN is equipped with a certain set of devices and associated application components, as appropriate to the clinical application. Different kinds of clinical data may be captured, transmitted and displayed, including text, numeric values, images and multiple biosignal streams. Timely processing and transmission of such multimedia clinical data in a distributed mobile environment requires smart strategies. Here we present one approach to designing smart distributed applications to deal with multimedia BAN data; namely the context awareness approach developed in the FREEBAND AWARENESS project.

References

[1]

Rasid, M.F.A., Woodward, B.: Bluetooth telemedicine Processor for multichannel biomedical signal transmission via mobile cellular networks. IEEE Transactions on Information Technology in Biomedicine 9, 35 (2005).

[2]

Rodriguez, J., Goni, A., et al.: Real-Time Classification of ECGs on a PDA. IEEE Transactions on Information Technology in Biomedicine 9, 23-34 (2005).

[3]

Yuan-Hsiang, L., Jan, I.C., et al.: A wireless PDA-based physiological monitoring system for patient transport. IEEE Transactions on Information Technology in Biomedicine 8, 439 (2004).

[4]

Hung, K., Yuan-Ting, Z.: Implementation of a WAP-based telemedicine system for patient monitoring. IEEE Transactions on Information Technology in Biomedicine 7, 101 (2003).

[5]

Jones, V.M., Bults, R.G.A., et al.: Healthcare PANs: Personal Area Networks for trauma care and home care. In: WPMC. presented at Fourth International Symposium on Wireless Personal Multimedia Communications, Aalborg, Denmark (2001).

[6]

MobiHealth, MobiHealth project webpage, http://www.mobihealth.org/

[7]

Freeband AWARENESS project, http://www.freeband.nl/project.cfm?id=494&language=en

[8]

eTen HealthService 24 project, http://www.healthservice24.com

[9]

Methods for ambulatory monitoring of activity and personalized feedback in chronic pain patients, Awareness deliverables (2006).

[10]

Voerman, G.E., Fleuren, J.F.M, et al.: Long-term monitoring of biosignals in spasticity and other motor disorders: A systematic review, Awareness deliverables (2006).

[11]

Tönis, T., Hermens, H.J., et al.: Context aware algorithm for discriminating stress and physical activity versus epilepsy, AWARENESS deliverables (2006).

[12]

Panigrahi, D., Panigrahi, T D., et al.: Battery life estimation of mobile embedded systems. In: Presented at 14th International Conference on VLSI Design (2001).

[13]

van Sinderen, M.J., van Halteren, A.T., et al.: Supporting context-aware mobile applications: an infrastructure approach. Communications Magazine, IEEE 44, 96 (2006).

[14]

Dockhorn Costa, P., Pires, L., et al.: Controlling Services in a Mobile Context-Aware Infrastructure. In: CAPS 2006. Second Workshop on Context Awareness for Proactive Systems, Kassel, Germany (2006).

[15]

Hesselman, C., Tokmakoff, A., et al.: Discovery and Composition of Services for Context-Aware Systems. In: EuroSSC 2006, Enschede, the Netherlands (2006).

[16]

Broens, T., Quartel, D., et al.: Towards a Context Binding Transparency. In: presented at 13th EUNICE Open European Summer School, Enschede, the Netherlands (2007).

[17]

Huis in't Veld, M.H.A., Ordelman, S.C.M.A., et al.: Context aware algorithm for epileptic seizure detection, Awareness deliverables (2005).

[18]

Bokhari, S.H.: Partitioning problems in parallel, pipelined, and distributed computing. IEEE Transactions on Computers 37, 48-57 (1988).

[19]

Nicol, D.M., O'Hallaron, D.R.: Improved Algorithms for Mapping Pipelined and Parallel Computations. IEEE Transactions on Computers 40, 295-306 (1991).

[20]

Ashraf Iqbal, M., Bokhari, S.H.: Efficient algorithms for a class of partitioning problems. IEEE Transactions on Parallel and Distributed Systems 6, 170 (1995).

[21]

Woeginger, G.J.: Assigning chain-like tasks to a chain-like network. In: Presented at Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms (2001).

[22]

Christofides, N.: Graph theory: An algorithmic approach. Academic Press, London (1975).

Cited By

Avancha SBaxi AKotz D(2012)Privacy in mobile technology for personal healthcareACM Computing Surveys10.1145/2379776.237977945:1(1-54)Online publication date: 7-Dec-2012
https://dl.acm.org/doi/10.1145/2379776.2379779
Pawar PJones Vvan Beijnum BHermens H(2012)A framework for the comparison of mobile patient monitoring systemsJournal of Biomedical Informatics10.1016/j.jbi.2012.02.00745:3(544-556)Online publication date: 1-Jun-2012
https://dl.acm.org/doi/10.1016/j.jbi.2012.02.007
Alemdar HErsoy C(2010)Wireless sensor networks for healthcareComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2010.05.00354:15(2688-2710)Online publication date: 1-Oct-2010
https://dl.acm.org/doi/10.1016/j.comnet.2010.05.003

Context aware body area networks for telemedicine
1. Applied computing
  1. Life and medical sciences
  2. Operations research
2. Networks
  1. Network types

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Information & Contributors

Information

Published In

cover image Guide Proceedings

PCM'07: Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing

December 2007

831 pages

ISBN:3540772545

Editors:
Horace H.-S. Ip
City University of Hong Kong, Department of Computer Science, Kowloon Tong, Hong Kong
,
Howard Leung
City University of Hong Kong, Department of Computer Science, Kowloon Tong, Hong Kong
,
Oscar C. Au
Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong
,
Ming-Ting Sun
University of Washington, Seattle, WA
,
Wei-Ying Ma
Microsoft Research Asia, Beijing, China
,
Shi-Min Hu
Tsinghua University, Department of Computer Science and Technology, Beijing, China

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 11 December 2007

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Cited By

Avancha SBaxi AKotz D(2012)Privacy in mobile technology for personal healthcareACM Computing Surveys10.1145/2379776.237977945:1(1-54)Online publication date: 7-Dec-2012
https://dl.acm.org/doi/10.1145/2379776.2379779
Pawar PJones Vvan Beijnum BHermens H(2012)A framework for the comparison of mobile patient monitoring systemsJournal of Biomedical Informatics10.1016/j.jbi.2012.02.00745:3(544-556)Online publication date: 1-Jun-2012
https://dl.acm.org/doi/10.1016/j.jbi.2012.02.007
Alemdar HErsoy C(2010)Wireless sensor networks for healthcareComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2010.05.00354:15(2688-2710)Online publication date: 1-Oct-2010
https://dl.acm.org/doi/10.1016/j.comnet.2010.05.003

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