Importance of Electronics in Health Monitoring System

Authors(2) :-Pratik Nasre, Dinesh V. Rojatkar

This paper illustrates the design and implementation of an e-health monitoring networked system. The architecture for this system is based on smart devices and wireless sensor networks for real time analysis of various parameters of patients. This system is aimed at developing a set of modules which can facilitate the diagnosis for the doctors through tele-monitoring of patients. It also facilitates continuous investigation of the patient for emergencies looked over by attendees and caregivers. A set of medical and environmental sensors are used to monitor the health as well as the surrounding of the patient. This sensor data is then relayed to the server using a smart device or a base station in close proximity. The doctors and caregivers monitor the patient in real time through the data received through the server. The medical history of each patient including medications and medical reports are stored on cloud for easy access and processing for logistics and prognosis of future complications. The architecture is so designed for monitoring a unitary patient privately at home as well as multiple patients in hospitals and public health care units. Use of smartphones to relay data over internet reduces the total cost of the system. We have also considered the privacy and security aspects of the system keeping the provision for selective authority for patients and their relatives to access the cloud storage as well as the possible threats to the system. We have also introduced a novel set of value added services through this paper which include Real Time Health Advice and Action (ReTiHA) and Parent monitoring for people with their family living abroad. Keywords—e-health monitoring; wireless sensor networks; smart devices; remote health advice.

Authors and Affiliations

Pratik Nasre
Department of Electronics & Telecommunication, Government College of Engineering, Chandrapur, Maharashtra, India
Dinesh V. Rojatkar
Department of Electronics & Telecommunication, Government College of Engineering, Chandrapur, Maharashtra, India

Internet of Things, Defense and Public Safety, Smart City, Health Monitoring System, Industry.

  1. Akoka,J., Berti-Equille, L., Boucelma, O., Bouzeghoub, M., Comyn-Wattiau, I., Cosquer, M., Goasdoué-Thion, V., Kedad, Z., Nugier, S., Peralta, V. and Cher, S. 2007. A framework for quality evaluation in data integration systems.
  2. Anzbock, R. and Dustdar, S. 2005.Modeling and implementing medical web services. Data and Knowledge Engineering, 55(2):203-236.
  3. Baker, A., Lafata, J.E., Ward, R.E., Whitehouse, F., and Dinive, G. 2001. A web-based diabetes care management support system. Joint Commission Journal on Quality Improvement, 27(4):179-190.
  4. Berti-Equille, L. 2004. Un état de l’art sur la qualité des données. ISI - Ingénierie des Systèmes d'Information, 5(9):117-143.
  5. Blobel, B., Pharow, P., Nerlich, M. 2008. Ehealth: Combining health telematics, telemedicine, biomedical engineering and bioinformatics to the edge global experts summit textbook (1st ed.). Technical report, Amsterdam, The Netherlands.
  6. Bouzeghoub, M. and Kedad, Z. 2002. Quality in data warehousing. Technical report, Kluwer Academic Publisher.
  7. Dravis, F. 2004. Data quality strategy: A step-by-step approach. In Proc. Of the 9th International Conference on Information Quality. Boston: Massachusetts Institute of Technology.
  8. Green, M. and Bowie, M.J. 2005. Lab manual to accompany essentials of health information management. Principles and practices. Technical report, Clifton Park.
  9. Hanada, E., Tsumoto, S., and Kobayashi, S. 2010. A Ubiquitous environment through wireless voice/data communication and a fully computerized hospital information system in a university hospital. E-Health. IFIP Advances in Information and Communication Technology, pages 160-168.
  10. Iakovidis, I., Healy, J.C., and Wilson, P. 2004. E-health: current situation and examples of implemented and beneficial e-health applications. Technical report, Amsterdam, Nls.
  11. Mitchell. J. 1999. From telehealth to e-health: The unstoppable rise of e-health. Technical report, Common Wealth Department of Communications, Information Technology and the Arts (DOCITA).
  12. Jablonski, S., Lay, R., Meiler, C., F arber, M., Volz, B., Dornstauder, S., Gotz, M., and Muller, S. 2007. Integrated process and data management for healthcare applications. IJHISI, International Journal of Healthcare Information Systems and Informatics, 2(4):1-21.
  13. Kerr, K., Norris, T., and Stockdale, R. 2007. Data quality information and decision making: A healthcare case study. In Proc. Of the 18th Australasian Conference on Information Systems. Massey University.
  14. Klein, A. and Lehner, W. 2009. Representing data quality in sensor data streaming environments. Journal of Data and Information Quality, 1(2):10:1-10:28.
  15. Latifi, R. 2008. Current principles and practices of telemedicine and e-health. Studies in Health Technology and Informatics, 131:296.
  16. Long, J. and Seko, C.E. 2002. A new method for database data quality evaluation at the Canadian institute for health information. In Proc. Of the 7th International Conference on Information Quality. Boston Massachusetts Institute of Technology.
  17. Maheu, M. Whitten, P., and Allen, A. 2001. E-health, telehealth, and telemedicine: A guide to start-up and success. Technical report, San Francisco, USA.
  18. Naumann, F. 2000. Assessment methods for information quality criteria. In Proc. Of the MIT Conf. on Information Quality (IQS00). ACM Press.
  19. Pipino, L., Lee, Y.W., and Wang, R. 2002. Data quality assessment. Communications of the ACM, 4(45).
  20. Pringle, M., Wilson, T., and Grol, R. 2002. Measuring ‘goodness’ in individuals and healthcare systems. British Medical Journal, 325:704-707, 2002.
  21. Redman, T. 2001. Data quality: the field guide. Technical report, Boston.
  22. Shankaranarayan, G. Ziad, M., and Wang, R.Y. 2003. Managing data quality in dynamic decision environments: an information product approach. Journal of Data Management, 14(4):14-32.
  23. Shaw, P. 2009. Quality and performance improvement in healthcare: A tool for programmed learning. Technical report, AHIMA.
  24. Strong, D. Lee, Y.W., and Wang, R. 1997. Data quality in context. Communications of the ACM, 40:103-110.
  25. Varshney, U. 2007. Pervasive healthcare and wireless health monitoring. Mob. Netw. Appl., 12(2):113-127.
  26. Wang, R., Lee, Y.W., Pipino, L.L., and Strong, D.M. 1998. Manage your information as a product. Sloan Management review, pages 95-105.
  27. Wang, R. and Strong, D. 1996. Beyond accuracy: What data quality means to data consumers? Journal on Management Information Systems. Wyatt, J., Sullivan, F. 2005. What is health information? Technical report, BMJ 331:568.

Publication Details

Published in : Volume 3 | Issue 6 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 638-642
Manuscript Number : IJSRSET1736165
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Pratik Nasre, Dinesh V. Rojatkar, " Importance of Electronics in Health Monitoring System, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 6, pp.638-642, September-October-2017.
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