The Cloud-Based Health Tracking and Monitoring System with AWS

Authors

  • Vaishnavi Raosaheb Thoke  Department of Computer Science & Engineering, P. R. Pote (Patil) College of Engineering & Management, Amravati-444605, Maharashtra, India
  • Prof. Prachi V. Kale  Professor, Department of Computer Science & Engineering, P. R. Pote (Patil) College of Engineering & Management, Amravati-444605, Maharashtra, India

Keywords:

Cloud Computing, Smart Healthcare, E-health, multi-key search, AWS, DES3

Abstract

Medical care has a basic situation in living souls particularly for the individuals who have some medical conditions and need a down to earth answer for a superior life. As of late, there is a quick ascent in e-wellbeing advances, for example, Electronic Health Records (EHRs) and some crisis location and reaction strategies for that used AWS cloud for storing and retrieving managing records. One of the advances that can deal with a portion of the difficulties of shrewd medical care as far as security, sharing, files for avoid data leakages and illegal access help of encryption and description algorithm addition security are digital signature. The motivation behind this article is to feature the estimation of inescapable processing, particularly cloud-based frameworks in medical services area. We survey the importance and chances of AWS Services in inescapable medical services.

References

  1. Susmit Paul, Asmita Sharma, "Concept of Wireless Sensor AD-HOC Network Focusing on Mobile Computing," ISTP Journal of Research in Electrical and Electronics Engineering (ISTP-JREEE) 1st International Conference on Research in Science, Engineering & Management (IOCRSEM 2014), 2014, pp. 137-147.
  2. Amit Kumar, Dr. Yunfei Liu, Dr. Jyotsna Sengupta, Divya." Evolution of Mobile Wireless Communication Networks: 1G to 4G," International Journal of Electronics & Communication Technology, 2010, pp.68-72. Doi: 0910/101/124.
  3. Zimmerman, James B., "Mobile Computing: Characteristics, Business benefits, and the mobile framework,"University of Maryland European Division-Bowie State 10, 1999.
  4. N. D. Lane, E. Miluzzo, H. Lu, D. Peebles, and A. T. Campbell, "A survey of mobile phone sensing'' IEEE Commun. Mag., vol. 48, no. 9, pp. 140_150, Sep. 2010.
  5. P. Mell and T. Grance, "The NIST Definition of Cloud Computing" Recommendations of the National Institute of Standards and Technology (Technical Report No. Gaithersburg, MD, USA: NIST, 2011.
  6. Copeland, Marshall, Julian Soh, Anthony Puca, Mike Manning, and David Gollob. "Microsoft azure and cloud computing." In Microsoft Azure, pp. 3-26. Apress, Berkeley, CA, 2015.
  7. Bahwaireth, Khadijah, and Lo'ai Tawalbeh. "Cooperative models in cloud and mobile cloud computing." InTelecommunications (ICT), 2016 23rd International Conference on, pp. 1-4. IEEE, 2016.
  8. Lo'ai, A. Tawalbeh, Waseem Bakhader, Rashid Mehmood, and Houbing Song. "Cloudlet-based mobile cloud computing for healthcare 2016 IEEE, pp. 1-6. IEEE, 2016.
  9. Tawalbeh, Lo'ai, Norah Alassaf, Waseem Bakheder, and Alaa Tawalbeh. "Resilience Mobile Cloud Computing: Features, Applications and Challenges." In e-Learning (econf), 2015 Fifth International Conference on, pp. 280-284. IEEE, 2015.
  10. Qi, Han, and Abdullah Gani, "Research on mobile cloud computing: Review, trend and perspectives," Digital Information and Communication Technology and it's Applications (DICTAP) 2012 Second International Conference on, Bangkok, 2012, pp. 195-202.
  11. L. A. Tawalbeh, N. Darwazeh, R. Al-Qassas, F. Dosari, “ A Secure Cloud Computing Model based on Data Classification”. In the Int. Workshop on Mobile Cloud Computing Systems, Management, and Security (MCSMS-2015). Procedia Computer Science, Vol.52, pp 1153– 1158, UK. June 2015.
  12. Lo'ai, A. Tawalbeh, and Waseem Bakhader. "A mobile cloud system for different useful applications." In Future Internet of Things and Cloud Workshops (FiCloudW), IEEE International Conference on, pp. 295-298. IEEE, 2016.
  13. A. Zaslavsky, C. Perera, and D. Georgakopoulos. (2013). ``Sensing as a service and big data.'' [Online]. Available: https://arxiv.org/abs/1301.0159 <Last accessed 18/6/2017>
  14. M. Chen, S. Mao, and Y. Liu, "Big data: A survey,'' Mobile Netw. Appl., vol. 19, no. 2, pp. 171_209, Apr. 2014.
  15. L. A. Tawalbeh, W. Bakheder, and H. Song, ``A mobile cloud computing model using the cloudlet scheme for big data applications,'' in Proc. IEEE 1st Int. Conf. Connected Health, Appl., Syst. Eng. Technol. (CHASE), Jun. 2016, pp. 73_77.
  16. D. Fluckinger, “Pulse Strategic insight for health IT leaders,” TechTarget Inc, 2014.
  17. M. Aminian, “A Hospital Healthcare Monitoring System Using Wireless Sensor Networks,” J. Health Med. Inform., vol. 04, no. 02, 2013.
  18. C. Doukas, T. Pliakas, & I. Maglogiannis "Mobile healthcare information management utilizing Cloud Computing and Android OS". In Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE (pp. 1037-1040). IEEE.
  19. F. Muheidat, Lo'ai Tawalbeh, and H. Tyrer. “Context-Aware, Accurate, and Real Time Fall Detection System for Elderly People”. In the proceedings of the 12th IEEE International Conference on Semantic Computing, Jan 31st 2018,Laguna Hills, CA,USA
  20. Zhang, Rui, and Ling Liu. "Security models and requirements for healthcare application clouds." In Cloud Computing (CLOUD), 2010 IEEE 3rd International Conf. on, pp. 268-275. IEEE, 2010.
  21. Hoang, Doan B., and Lingfeng Chen. "Mobile cloud for assistive healthcare (MoCAsH)." In Services Computing Conference (APSCC), 2010 IEEE Asia-Pacific, pp. 325-332. IEEE, 2010.
  22. L. A. Tawalbeh, R. Mehmood, E. Benkhelifa, and H. Song. "Mobile Cloud Computing Model and Big Data Analysis for Healthcare Applications." IEEE Access Journal., Vol 4, pp 6171-6180, Sept 2016.
  23. T. Soyata, R. Muraleedharan, C. Funai, M. Kwon, and W. Heinzelman, “Cloud-Vision: Real-time face recognition using a mobile-cloudlet cloud acceleration architecture,” in 2012 IEEE Symposium on Computers and Communications (ISCC), 2012, pp. 59–66.
  24. Y. Jararweh, L. Tawalbeh, F. Ababneh, and F. Dosari, “Resource Efficient Mobile Computing Using Cloudlet Infrastructure,” in 2013 IEEE Ninth International Conference on Mobile Ad-hoc and Sensor Networks (MSN), 2013, pp. 373–377.
  25. F. Macias and G. Thomas, “Cloud Computing Advantages in the Public Sector: How Today’s Government, Education, and Healthcare Organizations Are Benefiting from Cloud Computing Environments,” Cisco Systems, Inc., White Paper, 2011.
  26. Y. Jararweh, L. Tawalbeh, F. Ababneh, A. Khreishah, and F. Dosari, “Scalable Cloudlet-based Mobile Computing Model,” Procedia Comp. Sci.,(34), pp. 434–441, 2014
  27. C. O. Rolim, , F. L. Koch, C. B. Westphall, J. Werner, A. Fracalossi , & G. S. Salvador. (2010, February). A cloud computing solution for patient's data collection in health care institutions. In eHealth, Telemedicine, and Social Medicine, 2010. ETELEMED'10. Second International Conference on (pp. 95-99). IEEE.
  28. A. Soomro and R. Schmitt, “A framework for mobile healthcare applications over heterogeneous networks,” in 2011 13th IEEE International Conference on e-Health Networking Applications and Services (Healthcom), 2011, pp. 70–73.
  29. Bahwaireth, Khadijah, and Lo'ai Tawalbeh. "Cooperative models in cloud and mobile cloud computing." In Telecommunications (ICT), 2016 23rd International Conference on, pp. 1-4. IEEE, 2016.
  30. King Faisal Specialist Hospital and Research Center. [Online].<Last Accessed: 1/8/2018> Available: http://www.kfshrc.edu.sa
  31. N. Saquib, and at al. , “Chronic disease prevalence among elderly Saudi men,” International Journal of Health Sciences, vol. 11, no. 5, pp. 11–16, 2017.
  32. Z. A. Memish and at.al, “Obesity and associated factors – kingdom of saudi arabia, 2013,” Preventing Chronic Disease, vol. 11, p. E174, Oct. 2014.
  33. M. N. Koukias, and D. K. Lymberopoulos, Biomedical Engineering. Available from: InTech, 2009, ch. Requirements and Solutions for Advanced Telemedicine Applications, pp. 645–658.
  34. Alesanco and J. Garcà a, “Clinical assessment of wireless ECG transmission in real-time cardiac telemonitoring,” IEEE Transactions on Information Technology in Biomedicine, vol. 14, no. 5, pp. 1144–1152, Sept 2010.
  35. Sensor and data transmission needs and technologies for patient monitoring in the operating room and intensive care unit,” in 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, Jan 2005, pp. 5182– 5185.
  36. K. Kumar and Y. H. Lu, “Cloud computing for mobile users: Can offloading computation save energy?” Computer, vol. 43, no. 4, pp. 51–56, April 2010.
  37. T. Muhammed and R. A. Shaikh, “An analysis of fault detection strategiesin wireless sensor networks,” Journal of Network and Computer Applications, vol. 78, pp. 267 – 287, Jan. 2017.
  38. J. Sametinger, J. Rozenblit, R. Lysecky, and P. Ott, “Security challenges for medical devices,” Commun. ACM, vol. 58, no. 4, pp. 74–82, March, 2015.

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Published

2021-04-15

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Section

Research Articles

How to Cite

[1]
Vaishnavi Raosaheb Thoke, Prof. Prachi V. Kale "The Cloud-Based Health Tracking and Monitoring System with AWS" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 9, Issue 4, pp.87-94, March-April-2021.