Real-Time Monitoring and Detection of 'Heart Attack' Using Wireless Sensors and IoT

Authors

  • T. Geethalakshmi  Department of Computer Science, Pondicherry University, Puducherry, Tamil Nadu, India
  • T. Sivakumar  Department of Computer Science, Pondicherry University, Puducherry, Tamil Nadu, India

Keywords:

Internet of Things (IoT), GPS, Wearable Sensors, Real-time Monitoring

Abstract

Continuous growing interest in IoT applications particularly for a smart city setting has attracted many researchers. E-health applications in IoT networks are the newest area of interest in this research field.The medical urgent situation service is one of the most important need of the human being in case any type of the diseases or the attacks. An idea to get the action or the urgent situation service for the heart attacks by sensing and sending the required information to the nearby hospitals and the listed people using smart watches or smart phones and with the location using GPS. Real-time Heart Attack Mobile Detection Service through voice control and gesture control using smart watches. This aims to improve response time of emergency aid for heart attack patients. In this paper, we propose the capability to monitor the patient present at their workplace, home, hospital, and where ever the patient wishes to be. However the capability of the system brings in new complexity of locating and tracking the patient

References

  1. K W. Goh, J. Lavanya, Y. Kim, E. K. Tan, and C. B. Soh, “Apda based ECG beat detector for home cardiac care,” 27th Annual Conference Shanghai, IEEE. Engg. in Med And Biology, China, pp. 375-378, September 1-4, 2005.
  2. M Ghazal, S. Ali, F. Haneefa, and A. Sweleh, “Towards smart wearable real-time airport luggage tracking,” in 2016 International Conference on Industrial Informatics and Computer Systems (CIICS), March 2016, pp. 1–6.
  3. M Ghazal, R. Hamouda, and S. Ali, “An iot smart queue management system with real-time queue tracking,” in 2015 Fifth International Conference on e-Learning (econf), Oct 2015, pp. 257–262.
  4. A Black and T. Sahama, “ehealth-as-a-service (ehaas): The industrialisation of health informatics, a practical approach,” in e-Health Networking, Applications and Services (Healthcom), 2014 IEEE 16th International Conference on, Oct 2014, pp. 555–559.
  5. A-M. Rahmani, N. Thanigaivelan, T. N. Gia, J. Granados, B. Negash, P. Liljeberg, and H. Tenhunen, “Smart e-health gateway: Bringing intelligence to internet-of-things based ubiquitous healthcare systems,” in Consumer Communications and Networking Conference (CCNC), 2015 12th Annual IEEE, Jan 2015, pp. 826–834.
  6. M Hassanalieragh, A. Page, T. Soyata, G. Sharma, M. Aktas, G. Mateos, B. Kantarci, and S. Andreescu, “Health monitoring and management using internet-of-things (iot) sensing with cloud-based processing: Opportunities and challenges,” in Services Computing (SCC), 2015 IEEE International Conference on, June 2015, pp. 285–292.
  7. Z Qin, G. Denker, C. Giannelli, P. Bellavista, and N. Venkatasubramanian, “A software defined networking architecture for the internet-of-things,” in Network Operations and Management Symposium (NOMS), 2014 IEEE, May 2014, pp. 1–9.
  8. I Ku, Y. Lu, M. Gerla, F. Ongaro, R. L. Gomes, and E. Cerqueira, “Towards software-defined vanet: Architecture and services,” in Ad Hoc Networking Workshop (MED-HOCNET), 2014 13th Annual Mediterranean. IEEE, 2014, pp. 103–110.
  9. N Truong, G. M. Lee, and Y. Ghamri-Doudane, “Software defined networking-based vehicular adhoc network with fog computing,” in Integrated Network Management (IM), 2015 IFIP/IEEE International Symposium on, May 2015, pp. 1202– 1207.
  10. S. Nunna, A. Kousaridas, M. Ibrahim, M. Dillinger, C. Thuemmler, H. Feussner, and A. Schneider, “Enabling real-time context-aware collaboration through 5g and mobile edge computing,” in Information Technology - New Generations (ITNG), 2015 12th International Conference on, April 2015, pp. 601–605.
  11. V. Vassilakis, I. Moscholios, A. Bontozoglou, and M. Logothetis, “Mobility-aware qos assurance in software-defined radio access networks: An analytical study,” in Network Softwarization (NetSoft), 2015 1st IEEE Conference on, April 2015, pp. 1–6.
  12. H. Kim and N. Feamster, “Improving network management with software defined networking,” Communications Magazine, IEEE, vol. 51, no. 2, pp. 114–119, February 2013.
  13. M. Mendonca, K. Obraczka, and T. Turletti, “The case for software-defined networking in heterogeneous networked environments,” in Proceedings of the 2012 ACM Conference on CoNEXT Student Workshop, ser. CoNEXT Student ’12. New York, NY, USA: ACM, 2012, pp. 59–60. [Online]. Available: http://doi.acm.org/10.1145/2413247.2413283
  14. N. McKeown, T. Anderson, H. Balakrishnan, G. Parulkar, L. Peterson, J. Rexford, S. Shenker, and J. Turner, “Openflow: Enabling innovation in campus networks,” SIGCOMM Comput. Commun. Rev., vol. 38, no. 2, pp. 69–74, Mar. 2008. [Online]. Available: http://doi.acm.org/10.1145/1355734.1355746
  15. M. Gerla, E.-K. Lee, G. Pau, and U. Lee, “Internet of vehicles: From intelligent grid to autonomous cars and vehicular clouds,” in Internet of Things (WF-IoT), 2014 IEEE World Forum on, March 2014, pp. 241–246.
  16. F. Bonomi, R. Milito, J. Zhu, and S. Addepalli, “Fog computing and its role in the internet of things,” in Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing, ser. MCC ’12. New York, NY, USA: ACM, 2012, pp. 13–16.
  17. N. Fernando, S. W. Loke, and W. Rahayu, “Mobile cloud computing: A survey,” Future Generation Computer Systems, vol. 29, no. 1, pp. 84 – 106, 2013, including Special section: AIRCC-NetCoM 2009 and Special section: Clouds and Service-Oriented Architectures. [Online]. Available:http://www.sciencedirect.com/science/article/pii/S0167739X

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

Downloads

Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
T. Geethalakshmi, T. Sivakumar, " Real-Time Monitoring and Detection of 'Heart Attack' Using Wireless Sensors and IoT, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.1475-1480, March-April-2018.