Call for Paper - September 2022 Edition
IJCA solicits original research papers for the September 2022 Edition. Last date of manuscript submission is August 22, 2022. Read More

A Proposed Model for Monitoring Students Health based on Internet of Things

Print
PDF
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2019
Authors:
Doaa M. A. Hawa, Abeer M. H. Saad, Manal S. A. Elbelkasy
10.5120/ijca2019918584

Doaa M A Hawa, Abeer M H Saad and Manal S A Elbelkasy. A Proposed Model for Monitoring Students Health based on Internet of Things. International Journal of Computer Applications 181(46):8-12, March 2019. BibTeX

@article{10.5120/ijca2019918584,
	author = {Doaa M. A. Hawa and Abeer M. H. Saad and Manal S. A. Elbelkasy},
	title = {A Proposed Model for Monitoring Students Health based on Internet of Things},
	journal = {International Journal of Computer Applications},
	issue_date = {March 2019},
	volume = {181},
	number = {46},
	month = {Mar},
	year = {2019},
	issn = {0975-8887},
	pages = {8-12},
	numpages = {5},
	url = {http://www.ijcaonline.org/archives/volume181/number46/30427-2019918584},
	doi = {10.5120/ijca2019918584},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Among the wide and impressive range of applications enabled by Internet technology, IOT remains smart and interactive health care systems that are especially important for gathering rich information about our mental and physical health. The sensors in IOT are used either on the body or in the surrounding environment, by integrating mobile technology into IOT-based health care systems; the interactive care system can be transformed into a preventive and effective health system. In this context, the IOT-based health care system calculates the severity of the student's illness by predicting the potential disease by extracting and deriving health measurements collected from medical devices and other IOT devices. In order to effectively analyze student health care data, a smart health care system was designed for students. In our case study, a set of data and characteristics for each case of disease were included. This data is further analyzed to verify the image of the model, using different classification algorithms and then calculating the results based on accuracy, sensitivity, privacy and response time. Moreover, the proposed methodology effective in decision-making by providing sensitive information to the time-based care or specialist doctor on time. Finally, the system presents the results of the diagnosis to the list of data again to make a centralized feedback and an update and use later.

References

  1. Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future generation computer systems, 29(7), 1645-1660.
  2. Vermesan, O., & Friess, P. (Eds.). (2013). Internet of things: converging technologies for smart environments and integrated ecosystems. River Publishers.
  3. Verma, Prabal, Sandeep K. Sood, and Sheetal Kalra. "Cloud-centric IoT based student healthcare monitoring framework." Journal of Ambient Intelligence and Humanized Computing 9, no. 5 (2018): 1293-1309.
  4. Chiuchisan, I., Costin, H. N., & Geman, O. (2014, October). Adopting the internet of things technologies in health care systems. In Electrical and Power Engineering (EPE), 2014 International Conference and Exposition on (pp. 532-535). IEEE.
  5. Stankovic, J. A. (2014). Research directions for the internet of things. IEEE Internet of Things Journal, 1(1), 3-9.
  6. Patel, S., Park, H., Bonato, P., Chan, L., & Rodgers, M. (2012). A review of wearable sensors and systems with application in rehabilitation. Journal of neuroengineering and rehabilitation, 9(1), 21.
  7. Fazio, M., Celesti, A., Puliafito, A., & Villari, M. (2015). Big data storage in the cloud for smart environment monitoring. Procedia Computer Science, 52, 500-506.‏
  8. Xu, B., Da Xu, L., Cai, H., Xie, C., Hu, J., & Bu, F. (2014). Ubiquitous data accessing method in IoT-based information system for emergency medical services. IEEE Trans. Industrial Informatics, 10(2), 1578-1586.‏
  9. Silva, B. M., Rodrigues, J. J., de la Torre Díez, I., López-Coronado, M., & Saleem, K. (2015). Mobile-health: A review of current state in 2015. Journal of biomedical informatics, 56, 265-272.
  10. Zaslavsky, A., Perera, C., & Georgakopoulos, D. (2013). Sensing as a service and big data. arXiv preprint arXiv:1301.0159.
  11. Bui, N., & Zorzi, M. (2011, October). Health care applications: a solution based on the internet of things. In Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies (p. 131). ACM.
  12. Jovanov, E., & Milenkovic, A. (2011). Body area networks for ubiquitous healthcare applications: opportunities and challenges. Journal of medical systems, 35(5), 1245-1254.‏
  13. Islam, S. R., Kwak, D., Kabir, M. H., Hossain, M., & Kwak, K. S. (2015). The internet of things for health care: a comprehensive survey. IEEE Access, 3, 678-708.
  14. Gomez, J., Oviedo, B., & Zhuma, E. (2016). Patient monitoring system based on internet of things. Procedia Computer Science, 83, 90-97.
  15. Hassanalieragh, M., Page, A., Soyata, T., Sharma, G., Aktas, M., Mateos, G., ... & Andreescu, S. (2015, June). Health monitoring and management using Internet-of-Things (IoT) sensing with cloud-based processing: Opportunities and challenges. In 2015 IEEE International Conference on Services Computing (pp. 285-292). IEEE.
  16. Laplante, P. A., & Laplante, N. (2016). The internet of things in healthcare: Potential applications and challenges. IT Professional, (3), 2-4.
  17. Dimitrov, D. V. (2016). Medical internet of things and big data in healthcare. Healthcare informatics research, 22(3), 156-163.
  18. Bimschas, D., Hellbrück, H., Mietz, R., Pfisterer, D., Römer, K., & Teubler, T. (2010, November). Middleware for smart gateways connecting sensornets to the internet. In Proceedings of the 5th International Workshop on Middleware Tools, Services and Run-Time Support for Sensor Networks(pp. 8-14). ACM.
  19. Rahmani, A. M., Thanigaivelan, N. K., Gia, T. N., Granados, J., Negash, B., Liljeberg, P., & Tenhunen, H. (2015, January). 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 (pp. 826-834). IEEE.

Keywords

(IOT) Internet of things; Health care; Cloud computing.