International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

MENU
International Journal of Computer Networks and Applications (IJCNA)

International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

Wireless Sensor Network-Based Health Monitoring System for the Elderly and Disabled

Author NameAuthor Details

Gurkan Tuna, Resul Das , Ayse Tuna

Gurkan Tuna[1]

Resul Das [2]

Ayse Tuna[3]

[1]Department of Computer Programming, Trakya University, Edirne, Turkey.

[2]Department of Software Engineering, Firat University, Elazig, Turkey.

[3]School of Foreign Languages, Trakya University, Edirne, Turkey.

Cite this Article

DOI: -

Pages : 247 - 253

 Download PDF

10450

Views

Abstract

Even if the elderly and disabled need the assistance of their families, parents, and healthcare providers, they prefer to live in their homes instead of assisted-living centers. Therefore, their health and activities must be remotely monitored so that in case of an urgent unexpected situation, immediate help can be provided. In this respect, this paper proposes a wireless sensor network-based health monitoring system for the elderly and disabled, and focuses on its development steps. The proposed system is composed of low-cost off-the-shelf components and enables the monitoring of important health parameters of the elderly and disabled. Since it is a wireless and portable health monitoring solution, it can be a valuable remote monitoring tool for health care service providers by reducing the cost of their services. It can be combined with data mining solutions and/or machine learning techniques to offer novel features such as pattern extraction and behavior analysis.

Index Terms

Wireless sensor network

health monitoring

the elderly

the disabled

intelligent monitoring

Reference

  1. 1.
    Istepanian, R. S. H., Jovanov, E. and Zhang, Y. T. (2004). “Introduction to the Special Section on M-Health: Beyond Seamless Mobility and Global Wireless Health-Care Connectivity,” IEEE Transactions on Information Technology in Biomedicine. 8(4), 405-414.
  2. 2.
    Das, R., Tuna, G., (2015), “Machine-to-Machine Communications for Smart Homes”, International Journal of Computer Networks and Applications (IJCNA), EverScience Publications, 2 (4), 196-202.
  3. 3.
    Tuna, A., Das, R., and Tuna, G. “Integrated Smart Home Services and Smart Wearable Technology for the Disabled and Elderly,” (2015). In Proceedings of 4th International Conference on Data Management Technologies and Applications, ISBN 978-989-758-103-8, pp. 173-177, 2015. DOI: 10.5220/0005552001730177
  4. 4.
    Moutacalli, M. T., Marmen, V., Bouzouane, A. and Bouchard, B. (2013). “Activity Pattern Mining using Temporal Relationships in a Smart Home”, IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE), 83-87.
  5. 5.
    Jovanov, E., Lords, A., Raskovic, D., Cox, P., Adhami, R. and Andrasik, F., (2003). “Stress monitoring using a distributed wireless intelligent sensor system”, IEEE Engineering in Medicine and Biology Magazine, 22(3), 49-55.
  6. 6.
    Son, Y. –S., Jo, J., Park, J. –H. and Pulkkinen, T. (2013). “Diabetic Patient Care using Home User Activity Recognition”, ICTC 2013, 191-196.
  7. 7.
    Alemdar, H. and Ersoy, C., (2010). “Wireless sensor networks for healthcare: A survey”, Computer Networks, 54(10), 2688-2710.
  8. 8.
    Akyildiz, I. F., Su, W., Sankarasubramaniam, Y. and Cayirci, E., (2002). “Wireless sensor networks: a survey”, Computer Networks, 38, 393-422.
  9. 9.
    Buratti, C. and Verdone, R., (2009). “Performance analysis of IEEE 802.15.4 non beacon-enabled mode”, IEEE Transactions on Vehicular Technology, 58(7), 3480-3493.
  10. 10.
    Zhu, C., Zheng, C. and Han, G., (2012). “A survey on coverage and connectivity issues in wireless sensor networks”, Journal of Network and Computer Applications, 35, 619-632.
  11. 11.
    Francesco, M. D., Anastasi, G., Conti, M., Das, S. K. and Neri, V., (2011). “Reliability and energy-efficiency in IEEE 802.15.4/ZigBee sensor networks: an adaptive and cross-layer approach”, IEEE Journal on Selected Areas in Communications, 29(8), 1508-1524.
  12. 12.
    Internet: Arduino 2015, what is Arduino, http://www.arduino.cc/ [Accessed 15 March 15]
  13. 13.
    Internet: Cooking Hacks 2015 e-Health Sensor Platform V2.0 for Arduino and Raspberry Pi [Biometric / Medical Applications], http://www.cooking-hacks.com/documentation/tutorials /ehealth-biometric-sensor-platform-arduino-raspberry-pi-medical [Accessed 15 March 15]
  14. 14.
    Buyukpatpat, H., Das, R., (2015). “Akıllı Ev Sistemleri”, Fırat Üniversitesi, Teknoloji Fak., Yazilim Muhendisliği, Bitirme Projesi.
  15. 15.
    Internet: Digi 2015 XBee / XBee-PRO ZB (S2B) Modules, http://www.digi.com/support/productdetail?pid=4549&type=documentation [Accessed 15 March 15]
  16. 16.
    Internet: Atmel 2015 Atmel Studio 6, http://www.atmel.com/microsite /atmel_studio6/ [Accessed 15 March 15]
  17. 17.
    Internet: Realterm 2015 Realterm: Serial Terminal, http://realterm.sourceforge.net/ [Accessed 15 March 15]
  18. 18.
    Internet: MathWorks 2015 MATLAB, http://www.mathworks.com/products/matlab/ [Accessed 15 March 15]
  19. 19.
    Madou, M. J., (2002), “Fundamentals of Microfabrication: The Science of Miniaturization”, (Second Edition), Bosa Roca: CRC Press.
  20. 20.
    Madou, M. J., (2011). “From MEMS to Bio-MEMS and Bio-NEMS: Manufacturing Techniques and Applications (Fundamentals of Microfabrication and Nanotechnology)”, Bosa Roca: CRC Press.
  21. 21.
    Nguyen, C. T.-C., (2006) MEMS Technologies and Devices for Single-Chip RF Front-Ends. Journal of Microelectronics and Electronic Packaging: October 2006, Vol. 3, No. 4, pp. 160-168. DOI: 10.4071/1551-4897-3.4.160.
  22. 22.
    Nabki, F., Dusatko, T. A. and El-Gamal, M. N., (2008). “Frequency tunable silicon carbide resonators for MEMS above IC”, IEEE Custom Integrated Circuits Conference, 185-188.
  23. 23.
    Enz,C. C. and Kaiser,A.(Eds). (2013). “MEMS-based Circuits and Systems for Wireless Communication”, Springer, New York.
SCOPUS
SCImago Journal & Country Rank

Announcements

Archives

Downloads

Contact Us

Dr.M. Milton Joe
EverScience Publications,
Nagercoil, Tamilnadu,India

Talk to Us

+91 9442777224

Email Us

editor@ijcna.org

info@ijcna.org

info@everscience.org

Quick Links

Follow Us

Copyright © 2023; EverScience Publications

Designed & Maintained By Shiro Software Solutions