Skip to main content
SpringerLink
Log in

Applications of Internet of Things in Medical Area

  • Chapter
  • First Online:
Internet of Things for Healthcare Technologies

Part of the book series: Studies in Big Data ((SBD,volume 73))

  • 647 Accesses

Abstract

In present-day, Internet of Things (IoT) has turned out to be industry-rationalist jargon to portray how innovation is presently being inserted in various fields and markets including healthcare and developing the manner by which commerce is led. The IoT has developed the manner in which interdisciplinary fields right now are associated with and will keep on streamlining the procedures engaged with forefront healthcare work. IoT in healthcare encourages ordinary yet significant assignments to improve patient results and furthermore takes a portion of the weight off of health professionals. Assignments like remote patient checking, treatment progress perception, and the lodging of immunizations are on the whole capacities of therapeutic gadgets with coordinated IoT. The current chapter describes applications of IoT in medical sector related developed systems.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. https://dzone.com/articles/iot-in-healthcare-use-cases-trends-advantages-and. Last accessed on 31st Dec, 2019.

  2. Rath, M., & Pattanayak, B. (2019). Technological improvement in modern medical sector applications using IoT and proposal of novel medical sector approach. International Journal of Human Rights in Medical sector, Emerald Group Publishing, 12(2), 148–162.

    Google Scholar 

  3. Lomotey, R. K., Pry, J., & Sriramoju, S. (2017). Wearable IoT data stream traceability in a distributed health information system. Pervasive and Mobile Computing, 40, 692–707. ISSN 1574-1192.

    Google Scholar 

  4. Qiu, H. J. F., Ho, I. W. H., Tse, C. K., & Xie, Y. (2015). A methodology for studying 802.11p VANET broadcasting performance with practical vehicle distribution. IEEE Transactions on Vehicular Technology, 64(10), 4756–4769.

    Article  Google Scholar 

  5. Sun, E., Zhang, X., & Li, Z. (2012). The Internet of Things (IOT) and cloud computing (CC) based tailings dam monitoring and pre-alarm system in mines. Safety Science, 50, 811–815.

    Article  Google Scholar 

  6. Farahani, B., Firouzi, F., Chang, V., Badaroglu, M., Constant, N., & Mankodiya, K. (2018). Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare. Future Generation Computer Systems, 78(Part 2), 659–676. ISSN 0167-739X.

    Google Scholar 

  7. Hossain, M., Riazul Islam, S. M., Ali, F., Kwak, K.-S., & Hasan, R. (2017). An Internet of Things-based health prescription assistant and its security system design. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2017.11.020. Available online 2 December 2017. ISSN 0167-739X.

  8. Harbouche, A., Djedi, N., Erradi, M., Ben-Othman, J., & Kobbane, A. (2017). Model driven flexible design of a wireless body sensor network for health monitoring. Computer Networks, 129(Part 2), 548–571. https://doi.org/10.1016/j.comnet.2017.06.014. ISSN 1389-1286. http://www.sciencedirect.com/science/article/pii/S138912861730258X.

  9. Adame, T., Bel, A., Carreras, A., Melià-Seguí, J., Oliver, M., & Pous, R. (2018). CUIDATS: An RFID–WSN hybrid monitoring system for smart medical sector environments. Future Generation Computer Systems, 78(Part 2), 602–615. ISSN 0167-739X.

    Google Scholar 

  10. Lloret, J., Parra, L., Taha, M., & Tomás, J. (2017). An architecture and protocol for smart continuous eHealth monitoring using 5G. Computer Networks, 129(Part 2), 340–351. https://doi.org/10.1016/j.comnet.2017.05.018. ISSN 1389-1286.

  11. Kyriazakos, S., Valentini, V., Cesario, A., & Zachariae, R. (2017). FORECAST—A cloud-based personalized intelligent virtual coaching platform for the well-being of cancer patients. Clinical and Translational Radiation Oncology. ISSN 2405-6308.

    Google Scholar 

  12. Olayinka, O., Kekeh, M., Sheth-Chandra, M., & Akpinar-Elci, M. (2017). Big data knowledge in global health education. Annals of Global Health. ISSN 2214-9996.

    Google Scholar 

  13. Knoppers, B. M., & Thorogood, A. M. (2017). Ethics and Big Data in health. Current Opinion in Systems Biology, 4, 53–57. https://doi.org/10.1016/j.coisb.2017.07.001. ISSN 2452-3100.

  14. Pramanik, M. I., Lau, R. Y. K., Demirkan, H., & Azad, M. A. K. (2017). Smart health: Big data enabled health paradigm within smart cities. Expert Systems with Applications, 87, 370–383. https://doi.org/10.1016/j.eswa.2017.06.027. ISSN 0957-4174.

  15. Wang, Y., Kung, L. A., Wang, W. Y. C., & Cegielski, C. G. (2017). An integrated big data analytics-enabled transformation model: Application to medical sector. Information & Management. https://doi.org/10.1016/j.im.2017.04.001. ISSN 0378-7206.

  16. Carney, T. J., & Kong, A. Y. (2017). Leveraging health informatics to foster a smart systems response to health disparities and health equity challenges. Journal of Biomedical Informatics, 68, 184–189. ISSN 1532-0464.

    Google Scholar 

  17. Hussain, A., Wenbi, R., da Silva, A. L., Nadher, M., & Mudhish, M. (2015). Health and emergency-care platform for the elderly and disabled people in the Smart City. Journal of Systems and Software, 110, 253–263. ISSN 0164-1212.

    Google Scholar 

  18. Finlay, D. (2016). Chapter Seven—Connected health approaches to wound monitoring. In J. Davis, A. McLister, J. Cundell & D. Finlay (Eds.), Smart bandage technologies (pp. 229–244). Cambridge: Academic. ISBN 9780128037621.

    Google Scholar 

  19. Rogers, W. A., & Mitzner, T. L. (2017). Envisioning the future for older adults: Autonomy, health, well-being, and social connectedness with technology support. Futures, 87, 133–139. https://doi.org/10.1016/j.futures.2016.07.002. ISSN 0016-3287.

  20. Jeste, D. V., Blazer, D. G., Buckwalter, K. C., Keri-Leigh, K. C., Fishman, L., Gwyther, L. P., et al. (2016). Age-friendly communities initiative: Public health approach to promoting successful aging. The American Journal of Geriatric Psychiatry, 24(12), 1158–1170. https://doi.org/10.1016/j.jagp.2016.07.021. ISSN 1064-7481.

  21. Shamim Hossain, M., Rahman, M. A., & Muhammad, G. (2017). Towards energy-aware cloud-oriented cyber-physical therapy system. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2017.08.045. ISSN 0167-739X.

  22. Au, M. H., Yuen, T. H., Liu, J. K., Susilo, W., Huang, X., Xiang, Y., et al. (2017). A general framework for secure sharing of personal health records in cloud system. Journal of Computer and System Sciences, 90, 46–62. ISSN 0022-0000.

    Google Scholar 

  23. Neethirajan, S., Tuteja, S. K., Huang, S.-T., & Kelton, D. (2017). Recent advancement in biosensors technology for animal and livestock health management. Biosensors and Bioelectronics, 98, 398–407. ISSN 0956-5663.

    Google Scholar 

  24. Archenaa, J., & Mary Anita, E. A. (2015). A survey of big data analytics in healthcare and government. Procedia Computer Science, 50, 408–413. https://doi.org/10.1016/j.procs.2015.04.021. ISSN 1877-0509.

  25. Khalifa, M., & Zabani, I. (2016). Utilizing health analytics in improving the performance of healthcare services: A case study on a tertiary care hospital. Journal of Infection and Public Health, 9(6), 757–765. ISSN 1876-0341.

    Google Scholar 

  26. Fotopoulou, E., et al. (2016). Linked data analytics in interdisciplinary studies: The health impact of air pollution in urban areas. IEEE Access, 4, 149–164.

    Article  Google Scholar 

  27. Lepeule, J., Laden, F., Dockery, D., & Schwartz, J. (2012). Chronic exposure to fine particles and mortality: An extended follow-up of the Harvard six cities study from 1974 to 2009. Environmental Health Perspectives, 120(7), 965–970.

    Article  Google Scholar 

  28. Samoli, E. (2014). Which specific causes of death are associated with short term exposure to fine and coarse particles in Southern Europe? Results from the MED-PARTICLES project. Environment International, 67, 54–61.

    Article  Google Scholar 

  29. Kiesewetter, G., Schoepp, W., Heyes, C., & Amann, M. (2015). Modelling PM2.5 impact indicators in Europe: Health effects and legal compliance. Environmental Modelling & Software, 74, 201–211.

    Google Scholar 

  30. Vippalapalli, V., & Ananthula, S. (2016). Internet of things (IoT) based smart medical sector system. In 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), Paralakhemundi, pp. 1229–1233.

    Google Scholar 

  31. Satheesh, S. R., Sangeetha, D., & Vaidehi, V. (2013). EPSSHIC-enabling privacy and security of smart medical sector system in cloud. In 2013 International Conference on Recent Trends in Information Technology (ICRTIT), Chennai, pp. 79–83.

    Google Scholar 

  32. Wu, H.-T., & Horng, G.-J. (2017). Establishing an intelligent transportation system with a network security mechanism in an internet of vehicle environment. IEEE Access, 2169–3536 (c) 2017 IEEE. Translations and content mining, https://doi.org/10.1109/access.2017.2752420.

  33. https://www.asianhhm.com/information-technology/smart-health. Last Accessed on 10th Dec, 2017.

  34. Shah, T., et al. (2016). Remote medical sector cyber-physical system: Quality of service (QoS) challenges and opportunities. IET Cyber-Physical Systems: Theory & Applications, 1(1), 40–48. https://doi.org/10.1049/iet-cps.2016.0023.

  35. Patel, P., Intizar Ali, M., & Sheth, A. (2017, September/October). On using the intelligent edge for IoT analytics. IEEE Intelligent Systems, 32(5), 64–69.

    Google Scholar 

  36. Scarfò, A. (2018). Chapter 3—The cyber security challenges in the IoT era. In M. Ficco & F. Palmieri (Eds.), Security and resilience in intelligent data-centric systems and communication networks. Intelligent data-centric systems (pp. 53–76). Academic. ISBN 9780128113738.

    Google Scholar 

  37. Chakraborty C. (2019). Mobile Health (m-Health) for tele-wound monitoring. IGI: Mobile Health Applications for Quality Healthcare Delivery (Ch. 5, pp. 98–116).

    Google Scholar 

  38. Chakraborty, C., Gupta, B., & Ghosh, S. K. (2013). A review on telemedicine-based WBAN framework for patient monitoring. International Journal of Telemedicine and e-Health, 19(8), 619–626.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Management (Information Technology), Birla Global University, Bhubaneswar, Odisha, India

    Mamata Rath

Authors
  1. Mamata Rath
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mamata Rath .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, Ranchi, India

    Chinmay Chakraborty

  2. Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore

    Amit Banerjee

  3. Department of Electrical Engineering, Indian Institute of Technology Patna, Patna, India

    Maheshkumar H. Kolekar

  4. Department of Computer Information Systems, Faculty of Information and Communication Technology, University of Malta, Msida, Malta

    Lalit Garg

  5. Faculty of Software and Information Science, Iwate Prefectural University, Takizawa, Japan

    Basabi Chakraborty

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Rath, M. (2021). Applications of Internet of Things in Medical Area. In: Chakraborty, C., Banerjee, A., Kolekar, M., Garg, L., Chakraborty, B. (eds) Internet of Things for Healthcare Technologies. Studies in Big Data, vol 73. Springer, Singapore. https://doi.org/10.1007/978-981-15-4112-4_13

Download citation

Publish with us

Policies and ethics

Search

Navigation