A Survey on Diagnosing Health by Using Iot-Wearables Patient Centric Care

  • Authors

    • Ms. S. Laxmi Sunaina
    • Mr. Ravula Arun Kumar
    • Gurrapu Roja
    2018-09-25
    https://doi.org/10.14419/ijet.v7i4.6.20437
  • E-Health, Internet of things, IOT monitoring system patient-centric care, Wearable IOT Sensors.

  • Abstract

    The expanded utilization of versatile innovations and gadgets in the zone of smart pure technology has caused the awesome effect on the world. Over 60-70% are over polluted with diseases and Expert specialists are progressivelychecked done and exploiting the advantages these advancements bring and achieve, in this way creating an optimal noteworthy change and in especially medicinal services in and out clinical settings of them. Similarly, incalculable standard clients are being part of serve from the upsides of I-Health (Versatile Health) applications of some E-Health (human services upheld of group ICT) to enhance, help the order and help their Smart I-Health. Applications to be that have had a notableshelter for these regulars, so natural disorder. The Internet-o- things is increasingly permitting to meet and incorporateIOT equipped to interface with the web and give some approx. data on the disorder of E-Health of patients to be motivated and give statisticsendlessly to specialists who help the disorder. Unmistakably endless infections, for example, diabetes,B-p, kidney, heart, and increased weight among others, are part of exceptional on the content planet monetary to and social level mandatory issue. The point to be of this Paperseems to build up a content design completely based on a meta-physics equipped for keeping checking the E-Health and exercise the max routine suggestions and also to patients with everlasting infections.

     

     

  • References

    1. Jorge Gómeza, Byron Oviedo, Emilio Zhumab,* "Patient Monitoring System Based on Internet of Things", The 7th International Conference on Ambient Systems, Networks and Technologies, Procedia Computer Science 83 ( 2016 ) 90 – 97

      [2] Chester. Altaf Hussian K. Guha, M. Rajani, J. Madhu Vineeth "Smart Health Care Monitoring using the Internet of Things and Android" International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) Volume 6, Issue 3, March 2017.

      [3]Alexandros Pantelopoulos and Nikolaos G. Bourbakis, Fellow, IEEE "A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis" IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART C: APPLICATIONS AND REVIEWS, VOL. 40, NO. 1, JANUARY 2010.

      [4] S. M. RIAZUL ISLAM1, (Member, IEEE), DAEHAN KWAK, MD. HUMAN KABIR1, MAHMUD HOSSAIN, AND KYUNG-SUP KWAK, "The Internet of Things for Health Care: A Comprehensive Survey" 2169-3536 2015 IEEE.

      [5]T. Baranidharan1, S. Abipriya2, C. Jeyakanthaselvan3,D. Suganya4, L. Venkataprakash5, "Health Monitoring using Internet of Things", IJSART - Volume 2 Issue 3 –MARCH 2016 ISSN [ONLINE]: 2395-1052

      [6] Rita Paradiso, Giannicola Loriga, and Nicola Tacchini, "A Wearable Health Care System Based on Knitted Integrated Sensors" IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 9, NO. 3, September 2005.

      [7] Melanie Swan *, "Emerging Patient-Driven Health Care Models: An Examination of Health Social Networks, Consumer Personalized Medicine and Quantified Self-Tracking" Int. J. Environ. Res. Public Health 2009.

      [8] Upkar Varshney, "Pervasive Healthcare and Wireless Health Monitoring", Mobile Netw Appl (2007) 12:113–127.

      [9] K. Natarajan, B. Prasath, P. Kokila "Smart Health Care System Using Internet of Things", Journal of Network Communications and Emerging Technologies (JNCET) Volume 6, Issue 3, March (2016).

      [10] Strollo, S. E., Caserotti, P., Ward, R. E., Glynn, N. W., Goodpaster, B. H., & Strotmeyer, E. S. A review of the relationship between leg power and selected chronic disease in older adults. The journal of nutrition, health & aging, 19(2), 240-248, 2015.

      [11] Gómez, J., Huete, J. F., Hoyos, O., Perez, L., & Grigori, D. Interaction System based on Internet of Things as Support for Education. Procedia Computer Science, 21, 132-139, 2013

      [12] National Intelligence Council. Disruptive Technologies Global Trends 2025. Six Technologies with Potential Impacts on US Interests Out to 2025. 2008. Available online: http://www.fas.org/irp/nic/disruptive.pdf (accessed on 19 November 2015).

      [13] 7. Feller G. Understanding the Three Basic Layers of the Internet of Things. Bankinter Foundation of Innovation. accessed September 2015.

      [14] C. Y. Yan, W. B. Kang, J. X. Wang, M. Q. Cui, X. Wang, C. Y. Foo, K. J. Chee, and P. S. Lee, "Stretchable and Wearable Electrochromic Devices," ACS Nano, vol. 8, pp. 316-322, Jan 2014.

      [15] C. Yu, Y. Zhang, D. Cheng, X. Li, Y. Huang, and J. A.Rogers, "All-Elastomeric, Strain-Responsive Thermochromic Color Indicators," Small, vol. 10, pp. 1266-1271, 2014.

      [16] W. Zeng, L. Shu, Q. Li, S. Chen, F. Wang, and X. M. Tao, "Fiber-Based Wearable Electronics: A Review of Materials, Fabrication, Devices, and Applications," Advanced Materials, Jun 18 2014.

      [17] S. Chaudhuri, H. Thompson, and G. Demiris, "Fall Detection Devices and Their Use With Older Adults: A Systematic Review," Journal of geriatric physical therapy, Jan 8 2014.

      [18] D. Son, J. Lee, S. Qiao, R. Ghaffari, J. Kim, J. E. Lee, C. Song, S. J. Kim, D. J. Lee, S. W. Jun, S. Yang, M. Park, J. Shin, K. Do, M. Lee, K. Kang, C. S. Hwang, N. Lu, T. Hyeon, and D. H. Kim, "Multifunctional wearable devices for diagnosis and therapy of movement disorders," Nature Nanotechnology, vol. 9, pp. 397-404, May 2014.

      [19] S. Xu, Y. Zhang, L. Jia, K. E. Mathewson, K. I. Jang, J. Kim, H. Fu, X. Huang, P. Chava, R. Wang, S. Bhole, L. Wang, Y. J. Na, Y. Guan, M. Flavin, Z. Han, Y. Huang, and J. A. Rogers, "Soft microfluidic assemblies of sensors, circuits, and radios for the skin," Science, vol. 344, pp. 70-4, Apr 4 2014.

  • Downloads

  • How to Cite

    S. Laxmi Sunaina, M., Ravula Arun Kumar, M., & Roja, G. (2018). A Survey on Diagnosing Health by Using Iot-Wearables Patient Centric Care. International Journal of Engineering & Technology, 7(4.6), 91-95. https://doi.org/10.14419/ijet.v7i4.6.20437

    Received date: 2018-09-29

    Accepted date: 2018-09-29

    Published date: 2018-09-25