http://iet.metastore.ingenta.com
1887

Body area network for wireless patient monitoring

Body area network for wireless patient monitoring

For access to this article, please select a purchase option:

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Communications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Patient data monitoring is a key issue for health and disease management. The use of wireless sensors within a body area network (BAN) makes this task seamless and easy. A BAN system is presented, which allows the connectivity of a wide range of heterogeneous body sensors to a portable hub device that is connectable to external networks (IEEE 802.11, GPRS). This BAN is based on the use of Zigbee/IEEE 802.15.4 standard technology and off-the-shelf modules. It is currently being used at the European level for the detection and the prediction of the human physiological state in relation to wakefulness, fatigue, and stress applications in which users carrying out daily activities are monitored in an unobtrusive and comfortable way. Characterised by its low power consumption, low cost, and ability to connect a wide range of heterogeneous sensors, this system can substantially improve the performance of different services, especially those that are health related.

References

    1. 1)
      • E. Jovanov , O.A. Lords , D. Raskovic , P.G. Cox , R. Adhami , F. Andrasik . Stress monitoring using a distributed wireless intelligent sensor system. IEEE Eng. Med. Biol. Mag , 49 - 55
    2. 2)
      • Health Buddy, available at: http://www.healthhero.com/, accessed January 2007.
    3. 3)
      • Commission for Social Care Inspection (CSCI): ‘Time to care’ October 2006, available at: http://www.csci.org.uk/aboutp_csci/publications/time_to_care.aspx.
    4. 4)
      • V. Traver , E. Montón , J.L. Bayo , J.M. Garcia , J. Hernandez , S. Guillen . Multiagent home telecare platform for patients with cardiac diseases. Comput. Cardiol , 117 - 120
    5. 5)
      • D. Konstantas , A. van Halteren , R. Bults , K. Wac , I. Widya , N. Dokovsky , G. Koprinkov , V. Jones , R. Herzog . Mobile patient monitoring: the MobiHealth system. Stud. Health Technol. Inform. , 307 - 314
    6. 6)
      • Kyriacou, E., Voskarides, S., Istepanian, R.: `Wireless telemedicine systems: a brief overview', Proc. Healthcom 2002, June 2002, Nancy, France.
    7. 7)
      • R.S.H. Istepanian , E. Jovanov , Y.T. Zhang . Guest Editorial—Introduction to the special section on m-health: beyond seamless mobility and global wireless health-care connectivity. IEEE Trans. Inform. Technol. Biomed , 4 , 405 - 414
    8. 8)
      • Vitacca, M., Assoni, G., Pizzocaro, P., Guerra, A., Marchina, L., Scalvini, S., Glisenti, F., Spanevello, A., Bianchi, L., Barbano, L., Giordano, A., Balbi, B.: `A pilot study of nurse-led, home monitoring for patients with chronic respiratory failure and with mechanical ventilation assistance', Proc. 3rd Int. Conf. on Perspective Computing, 2005, London, UK.
    9. 9)
      • The ‘My Heart’ project, availabe at: http://www.hitech-projects.com/euprojects/myheart/, accessed January 2007.
    10. 10)
      • The ‘Sensation’ project, available at: http://www.sensation-eu.org/, accessed January 2007.
    11. 11)
      • W.M. Omar , B.A. Ahmad , A. Taleb-Bendiab . Grid overlay for remote e-health monitoring. Proc. IEEE Int. Conf. on Computer Systems and Applications , 826 - 833
    12. 12)
      • V. Hernández , I. Blanquer . The grid as a healthcare provision tool. Meth. Inform. Med , 2 , 144 - 148
    13. 13)
      • T. Norgall , R. Schmidt , T. von der Grün . Body area network—a key infrastructure element for patient-centered telemedicine. Stud. Health Tech. Inform. , 142 - 148
    14. 14)
    15. 15)
      • C. Bisdikian , P. Bhogwat , N. Golmie . Wireless personal area networks. IEEE Netw. , 5 , 10 - 11
    16. 16)
      • Y. Jianchu , R. Schmitz , S. Warren . A wearable point-of-care system for home use that incorporates plug-and-play and wireless standards. IEEE Trans. Inform. Tech. Biomed. , 3 , 363 - 371
    17. 17)
      • Konstantas, D., Van Halteren, A., Bults, R., Wac, K., Jones, V., Widya, I.: `MobiHealth: ambulant patient monitoring over public wireless networks', Proc. Mediterranean Conf. on Medical and Biological Engineering (MEDICON 2004), 31st July–5th August 2004, Island of Ischia, Naples, Italy, (Ghedimedia).
    18. 18)
      • Lo, B.P.L., Thiemjarus, S., King, R., Yang, G.-Z.: `Body sensor network—A wireless sensor platform for pervasive healthcare monitoring', Proc. 3rd Int. Conf. on Pervasive Computing Proceedings, May 2005, London, UK.
    19. 19)
      • D. Malan , T. Fulford-Jones , M. Welsh , S. Moulton . (2004) CodeBlue: An .
    20. 20)
      • Basuma Project, available at: http://www.basuma.de.
    21. 21)
      • `Part 15.4: Wireless medium access control (MAC) and physical layer (PHY) specifications for low-rate wireless personal area networks (LR-WPANs)', IEEE 802.15.4TM, .
    22. 22)
      • Zigbee Alliance, available at: http://www.zigbee.org., accessed January 2007.
    23. 23)
      • P. Kinney . (2003) ZigBee technology: Wireless control that simply works.
    24. 24)
      • E.H. Callaway . (2004) Wireless sensor networks: architectures and protocols.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com_20070046
Loading

Related content

content/journals/10.1049/iet-com_20070046
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address