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An overview of body sensor networks in enabling pervasive healthcare and assistive environments

Published:23 June 2010Publication History

ABSTRACT

The use of sensor networks for healthcare, well-being, and working in extreme environments has long roots in the engineering sector in medicine and biology community. With the growing needs in ubiquitous communications and recent advances in very-low-power wireless technologies, there has been considerable interest in the development and application of wireless networks around humans. With the maturity of wireless sensor networks, body area networks (BANs), and wireless BANs (WBANs), recent efforts in promoting the concept of body sensor networks (BSNs) aim to move beyond sensor connectivity to adopt a system-level approach to address issues related to biosensor design, interfacing, and embodiment, as well as ultra low-power processing / communication, power scavenging, autonomic sensing, data mining, inferencing, and integrated wireless sensor microsystems. As a result, the system architecture based on WBAN and BSN is becoming a widely accepted method of organization for ambulatory and ubiquitous monitoring systems. This review paper presents an up-to-date report of the current research and enabling applications and addresses some of the challenges and implementation issues.

References

  1. E. Jovanov, J. Price, D. Raskovic, K. Kavi, T. Martin, and R. Adhami, "Wireless personal area networks in telemedical environment" in Proc. 3rd IEEE EMBS Inf. Technol. Appl. Biomed.--Workshop Int. Telemed. Inf. Soc. (ITAB ITIS 2000), Arlington, VA, Nov. 2000, pp. 22--27.Google ScholarGoogle Scholar
  2. T. G. Zimmerman, "Personal Area Networks: Near-field intrabody communication," IBM Syst. J., vol. 35, no. 3--4, pp. 609--617, 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. B. Heile, I. Gifford, and T. Siep, "The IEEE P802.15 working group for wireless personal area networks," IEEE Netw., vol. 13, no. 4, pp. 4--5, Jul. 1999.Google ScholarGoogle Scholar
  4. K. van Dam, S. Pitchers, and M. Barnard, "From PAN to BAN: Why body area networks," presented at the Wireless World Res. Forum 2, Helsinki, Finland, May 10--11, 2001.Google ScholarGoogle Scholar
  5. R. Schmidt, T. Norgall, J. Morsdorf, J. Bernhard, and T. von der Grun, "Body area network BAN-a key infrastructure element for patient-centered medical applications," Biomed. Tech. (Berl.), vol. 47, pp. 365--368, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  6. A. Van Halteren, R. Bults, K. Wac, N. Dokovsky, G. Koprinkov, I. Widya, D. Konstantas, V. Jones, and R. Herzog, "Wireless body area networks for healthcare: The Mobi-Health project," in Wearable e-Health Systems for Personalised Health Management: State of the Art and Future Challenges, vol. 108, Amster., The Netherland: IOS Press, 2004.Google ScholarGoogle Scholar
  7. R. S. H. Istepanian, E. Jovanov, and Y. T. Zhang, "Guest editorial introduction to the special section on M-health: Beyond seamless mobility and global wireless health-care connectivity," IEEE Trans. Inf. Technol. Biomed., vol. 8, no. 4, pp. 405--414, Dec. 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. G. Z. Yang, Body Sensor Networks. London, U.K.: Springer-Verlag, 2006.Google ScholarGoogle Scholar
  9. D. Panescu, "Implantable neurostimulation devices," IEEE Eng. Med. Biol. Mag., vol. 27, no. 5, pp. 100--113, Sep.--Oct. 2008.Google ScholarGoogle ScholarCross RefCross Ref
  10. C. C. Y. Poon, Y. T. Zhang, and S. D. Bao, "A novel biometrics method to secure wireless body area sensor networks for telemedicine and m-Health," IEEE Commun. Mag., vol. 44, no. 4, pp. 73--81, Apr. 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. C. H. Chan, C. C. Y. Poon, R. C. S. Wong, and Y. T. Zhang, "A hybrid body sensor network for continuous and long-term measurement of arterial blood pressure," in Proc. 4th IEEE-EMBS Int. Summer School Symp. Med. Devices Biosens., Cambridge, U.K., Aug. 19--22, 2007, pp. 121--123.Google ScholarGoogle Scholar
  12. P. J. Xu, H. Zhang, and X. M. Tao, "Textile-Structured Electrodes for Electrocardiogram", Textile Progress, vol.40, no. 4, Dec. 2008, pp. 183--213.Google ScholarGoogle ScholarCross RefCross Ref
  13. P. S. Hall and Y. Hao, Antennas and Propagation for Body-Centric Wireless Communications, Artech House, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. J. A. Ruiz and S. Shimamoto, "Novel Communication Services Based on Human Body and Environment Interaction: Applications inside Trains and Applications for Handicapped People", Proc. IEEE WCNC 2006, Las Vegas, NV, 2006.Google ScholarGoogle ScholarCross RefCross Ref
  15. K. Takizawa, T. Aoyagi, and R. Kohno, "Channel Modeling and Performance Evaluation of UWB-based Wireless Body Area Networks", Proc. IEEE ICC 2009, Dresden, Ger., 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. R. Istepanian, S. Laxminarayan, and C. S. Pattichis, M-Health: Emerging Mobile Health Systems, Springer, 2005.Google ScholarGoogle Scholar
  17. V. Shnayder et al., "Sensor Networks for Medical Care", Harvard Univ. tech. rep. TR-08-05, Apr. 2005.Google ScholarGoogle Scholar
  18. T. Gao et al., "The Advanced Health and Disaster Aid Network: A Lightweight Wireless Medical System for Triage", IEEE Trans. Biomedical Circuits and Sys., vol. 1, no. 3, Sept. 2007, pp. 203--16.Google ScholarGoogle ScholarCross RefCross Ref
  19. M. C. Munshiet al., "Wireless ECG Plaster for Body Sensor Network", Proc. 5th Int'l. Wksp. Wearable and Implantable Body Sensor Net., Hong Kong, China, 2008.Google ScholarGoogle Scholar
  20. A. Wong, D. McDonagh, O. Omeni, C. Nunn, M. Silveira, and A. Burdett, "Sensium: An ultra-low-power wireless body sensor network platform: Design & application challenges," Proc. 31th Int. Conf. IEEE Eng. Med. Biol. Soc., Minneapolis, MN, Sep. 2--6, 2009, pp. 6576--6579.Google ScholarGoogle ScholarCross RefCross Ref
  21. J. Kwong, Y. K. Ramadass, N. Verma, and A. P. Chandrakasan, "A 65 nm sub-Vt microcontroller with integrated SRAM and switched capacitor DC--DC converter," IEEE J. Solid State Circuits, vol. 44, no. 1, pp. 115--126, Jan. 2009.Google ScholarGoogle ScholarCross RefCross Ref
  22. V. Leonov, B. Gyselinckx, C. Van Hoof, T. Torfs, F. Yazicioglu, R. J. M. Vullers, and P. Fiorini, "Wearable self-powered wireless devices with thermoelectric energy scavengers," in Proc. Conf. Smart Syst. Integr., Barcelona, Spain, Apr. 9--10, 2008, pp. 217--224.Google ScholarGoogle Scholar
  23. M. J. Cooney, V. Svoboda, C. Lau, G. Martina, and S. D. Minteer, "Enzyme catalysed biofuel cells," Energy Environ. Sci., vol. 1, pp. 320--337, 2008.Google ScholarGoogle ScholarCross RefCross Ref
  24. R. Paradiso, G. Loriga, and N. Taccini, "A wearable health care system based on knitted integrated sensors," IEEE Trans. Inf. Tech. Bio., vol. 9, no. 3, pp. 337--344, Sep. 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. J. Yoo, L. Yan, S. Lee, H. Kim, and H. J. Yoo, "A wearable ECG acquisition system with compact planar-fashionable circuit board based shirt," IEEE Trans. On Inf. Tech. in Bio-medicine, Vol. 13, No. 6, November 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. M. S. Wegmueller, A. Kuhn, J. Froehlich, M. Oberle, N. Felber, N. Kuster, and W. Fichtner, "An attempt to model the human body as a communication channel," IEEE Trans. Biomed. Eng., vol. 54, no. 10, pp. 1851--1857, Oct. 2007.Google ScholarGoogle ScholarCross RefCross Ref
  27. E. Reusens, W. Joseph, B. Latre, B. Braem, G. Vermeeren, L. Martens, I. Moerman, and C. Blondia, "Characterization of on-body communication channel and energy efficient topology design for wireless body area networks," IEEE Trans. On Inf. Tech. in Biomed., Vol. 13, No. 6, November 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Y. T. Zhang, C. C. Y. Poon, and E. MacPherson, "Editorial note on health informatics," IEEE Trans. Inf. Technol. Bio-med., vol. 13, no. 3, pp. 281--283, May 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. G. Roessler, T. Laube, C. Brockmann, T. Kirschkamp, B. Mazinani, M. Goertz, C. Koch, I. Krisch, B. Sellhaus, H. K. Trieu, J. Weis, N. Bornfeld, H. Rothgen, A. Messner, W. Mokwa, and P. Walter, "Implantation and explanation of a wireless epiretinal retina implant device: Observations during the EPIRET3 prospective clinical trial," Invest. Ophthalmol. Vis. Sci., vol. 50, no. 6, pp. 3003--3008, Jun. 2009.Google ScholarGoogle ScholarCross RefCross Ref
  30. A. Milenkovic, C. Otto, and E. Jovanov, "Wireless Sensor Networks for Personal Health Monitoring: Issues and an Implementation", Comp. Commun., vol. 29, no. 13--14, Aug. 2006, pp. 2521--33. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. J. A. Ruiz and S. Shimamoto, "Novel Communication Services Based on Human Body and Environment Interaction: Applications inside Trains and Applications for Handicapped People", Proc. IEEE WCNC 2006, Las Vegas, NV, 2006.Google ScholarGoogle ScholarCross RefCross Ref
  32. S. Pentland, "Healthwear: Medical Technology Becomes Wearable", Computer, vol. 37, no. 5, May 2004, pp.42--49. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. I. Jantunen et al., "Smart Sensor Architecture for Mobile-Terminal-Centric Ambient Intelligence", Sensors and Actuators A: Physical, vol. 142, no.1, Mar. 2004, pp. 352--60.Google ScholarGoogle ScholarCross RefCross Ref
  34. E. Farella et al., "Interfacing Human and Computer with Wireless Body Area Sensor Networks: The WiMoCA Solution", Mult Tools App., vol. 38, no. 3, July 2008, pp. 337--63. Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. S. Patel, K. Lorincz, R. Hughes, N. Huggins, J. Growdon, D. Standaert, M. Akay, J. Dy, M. Welsh, and P. Bonato, "Monitoring motor fluctuations in patients with Parkinson's disease using wearable sensors," IEEE Trans. On Inf. Tech. in Bio-medicine, Vol. 13, No. 6, November 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. M. A. Estudillo-Valderrama, L. M. Roa, J. Reina-Tosina, and D. Naranjo- Hernandez, "Design and implementation of a distributed fall detection system," IEEE Trans. On Inf. Tech. in Biomedicine, Vol. 13, No. 6, November 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. S. Vogel, M. Hulsbusch, T. Hennig, V. Blazek, and S. Leonhardt, "IN-EAR vital signs monitoring using a novel microoptic reflective sensor," IEEE Trans. On Inf. Tech. in Bio-medicine, Vol. 13, No. 6, November 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. J. Boyle, N. Bidargaddi, A. Sarela, and M. Karunanithi, "Automatic detection of respiration rate from ambulatory single lead ECG," IEEE Trans. On Inf. Tech. in Biomedi-cine, Vol. 13, No. 6, November 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  39. D. Raskovic and D. Giessel, "Dynamic voltage and frequency scaling for on-demand performance and availability of biomedical embedded systems," IEEE Trans. On Inf. Tech. in Biomedicine, Vol. 13, No. 6, November 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. T. Tamura, "A wearable airbag to prevent fall injuries," IEEE Trans. On Inf. Tech. in Bio, Vol. 13, No. 6, November 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. S. J. Marinkovic, E. M. Popovici, C. Spagnol, S. Faul, and W. P. Marnane, "Energy-efficient low duty cycle MAC protocol for wireless body area networks," IEEE Trans. On Inf. Tech. in Biomedicine, Vol. 13, No. 6, November 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  42. C. C. Tan, H. Wang, S. Zhong, and Q. Li, "IBE-lite: A lightweight identity based cryptography for body sensor networks," IEEE Trans. On Inf. Tech. in Biomedicine, Vol. 13, No. 6, November 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  43. Y. P. Zhang, L. Bin, and C. Qi, "Characterization of On-Human-Body UWB Radio Propagation Channel", Microwave Optical Tech. Lett., vol. 49, no. 6, pp.1365--71.Google ScholarGoogle ScholarCross RefCross Ref
  44. J.-Y. Yu, W.-C. Liao, and C.-Y. Lee, "A MT-CDMA based Wireless Body Area Network for Ubiquitous Healthcare Monitoring", Proc. BioCAS 2006, Nov. 2006, pp.98--101.Google ScholarGoogle Scholar
  45. A. Kurs et al., "Wireless Power Transfer via Strongly Coupled Magnetic Resonances", Science, vol. 317, no. 5834, July 2007, pp. 83--86.Google ScholarGoogle ScholarCross RefCross Ref
  46. S. Warren and E. Jovanov, "The Need for Rules of Engagement Applied to Wireless Body Area Networks", Proc. IEEE CCNC 2006, Las Vegas, NV, 2006.Google ScholarGoogle ScholarCross RefCross Ref
  47. Charalampos Doukas, Ilias Maglogiannis, "Advanced Classification and Rules-Based Evaluation of Motion, Visual and Biosignal Data for Patient Fall Incident Detection", to be published in Artificial Intelligence Techniques for Pervasive Computing, International Journal on AI Tools (IJAIT), World Scientific Press.Google ScholarGoogle Scholar
  48. C. Doukas, I. Maglogiannis, A. Rouskas, and A. Pneumatikakis, "Emergency Incidents Detection in Assisted Living Environments Utilizing Sound and Visual Perceptual Components", in Proc. of PETRAE 2009 conf., Corfu, Greece. Google ScholarGoogle ScholarDigital LibraryDigital Library
  49. Charalampos Doukas, Lampros Athanasiou, Kostantinos Fakos, Ilias Maglogiannis, "Advanced Sound and Distress Speech Expression Classification for Human Status Awareness in Assistive Environments", The Journal on Information Technology in Healthcare, 2009, 7 (2), pp. 111--117.Google ScholarGoogle Scholar
  50. Charalampos Doukas and Ilias Maglogiannis, "Intelligent Pervasive Healthcare Systems", in Advanced Computational Intelligence Paradigms in Healthcare -- 3 Series: Studies in Computational Intelligence, Springer Eds. Vol. 107, 2008, pp. 95--115, Hardcover, ISBN: 978-3-540-77661-1Google ScholarGoogle ScholarCross RefCross Ref
  51. N. S. Samaras, C. Chaikalis and G. Siafakas, "Healthcare oriented smart house for elderly or disabled people: A case study", Chapter in book entitled: "Wireless Technologies for Ambient Assisted Living and Health Care: Systems and Applications", Editors: Dr A. Lazakidou, Dr K. Siassiakos and Dr K. Ioannou, IGI Global Publishers, USA (to be published in 2010).Google ScholarGoogle Scholar

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    • Published in

      cover image ACM Other conferences
      PETRA '10: Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
      June 2010
      452 pages
      ISBN:9781450300711
      DOI:10.1145/1839294

      Copyright © 2010 ACM

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      Publication History

      • Published: 23 June 2010

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