Your privacy, your choice

We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media.

By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection.

See our privacy policy for more information on the use of your personal data.

for further information and to change your choices.
Skip to main content
SpringerLink
Log in
Book cover
Book cover

Cognitive Computing for Big Data Systems Over IoT pp 263–288Cite as

Applications of IoT in Healthcare

Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT,volume 14 )

Abstract

Internet of Things or IoT is an ecosystem of different physical objects provided with unique identifiers embedded with electronics, software, sensors and network connectivity which enables these objects to collect and exchange data without human intervention. The different technologies comprising IoT are Wireless sensor network , Cloud Computing, Micro-electromechanical systems (MEMS), Semantic technologies and future Internet. This concept makes it possible for the devices to be connected all the time everywhere, so it can also be referred to as Internet of Everything. Health care or Healthcare is the improvement of health in human beings by diagnosis, treatment and prevention of diseases, injury, and accidents, physical and mental impairments. It helps in the general physical, mental health and well being of people around the world. It comprises all the work done by Health professional in improving the primary care, secondary care and tertiary care of public. This chapter focuses on how the capabilities of Internet of things (IoT) can be leveraged in providing better Healthcare. In this chapter, various applications of IoT in healthcare as well as the challenges in the implementation are highlighted.

Keywords

This is a preview of subscription content, 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   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Learn about institutional subscriptions

References

  1. Almadania, B., Bin-Yahyaa, M., Shakshukib, E.M.: E-AMBULANCE: real-time integration platform for heterogeneous medical telemetry system. Proc. Comput. Sci. 63, 400–407 (2015)

    Article  Google Scholar 

  2. Abd Rahman, N.A., Abidin, Z.M.Z., Vasudavan, H.: Malaysia Hospital Asset Tracking System using RFID Technology (MHATS). eHealth Symposium 2013

    Google Scholar 

  3. Acampora, G., et al.: A survey on ambient intelligence in health care. Proc. IEEE

    Google Scholar 

  4. Poncholi, H.: Mobile device for health care monitoring system using wireless body sensor network. Int. J. Electron. Commun. Comput. Eng. 3(4) (2012). ISSN (Online): 2249-071X. ISSN (Print): 2278-4209

    Google Scholar 

  5. Abo-Zahhad, M., Ahmed, S.M., Elnahas, O.: A wireless emergency telemedicine system for patients monitoring and diagnosis. Int. J. Telemed. Appl. 2014, Article ID 380787, 11 pp. (2014). http://dx.doi.org/10.1155/2014/380787

  6. http://news.mit.edu/2009/blood-pressure-tt0408

  7. Gotadki, S., Mohan, R., Attarwala, M., Gajare, M.P.: Intelligent ambulance, Int. J. Eng. Tech. Res. (IJETR) 2(4) (2014). ISSN: 2321-0869

    Google Scholar 

  8. Hassanalieragh, M., et al.: 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

    Google Scholar 

  9. Kuzela, C.: Smart Drugs: Where IoT Meets Healthcare, A Market Snapshot, 30 June 2015

    Google Scholar 

  10. Niewolny, D.: How the Internet of Things is revolutionizing healthcare. White Paper

    Google Scholar 

  11. Hsu, P.: Using RFID technology to reduce medication errors, 7 June 2015

    Google Scholar 

  12. Buchan, G.: Real Time Location Services and Asset Management GBS Solution Representative. IBM Corporation (2009)

    Google Scholar 

  13. http://www.oatsystems.com/content-library/library_content/5-Myths-RTLS-RFID-Healthcare_OATSystems.pdf

  14. Aggarwal, C., Abdelzaher, T.: Social sensing. In: Managing and Mining Sensor Data. Springer (2013)

    Google Scholar 

  15. Moturu, S.T., et al.: Using social sensing to understand the links between sleep, mood, and sociability. In: Proceedings of IEEE International Conference on Social Computing (SocialCom 2011), Cambridge, MA, Sept 2011

    Google Scholar 

  16. Man, L.C.K., Na, C.M., Kit, N.C.: IoT-based asset management system for health-care-related industries. Int. J. Eng. Bus. Manage. (2015). https://doi.org/10.5772/61821

  17. Nibbelink, S.: Hospitals meet security challenges with integrated security and facility solutions. White Paper, Jan 2012

    Google Scholar 

  18. Lorenzi, N.: Advanced access-control systems for health facilities. http://www.hfmmagazine.com/display/HFM-news. Accessed 01 June 2016

  19. WHO Medical Device Technical Series, Medical Equipment Maintenance Programme Overview (2011)

    Google Scholar 

  20. Wollenhaupt, G.: IoT Slashes Downtime with Predictive Maintenance. http://www.ptc.com/product-lifecycle-report/iot-slashes-downtime-with-predictive-maintenance. Accessed 04 Mar 2016

  21. Jara, A.J., Ladid, L., Skarmeta, A.: The internet of everything through IPv6: an analysis of challenges, solutions and opportunities. J. Wirel. Mobile Netw. Ubiquit. Comput. Dependable Appl. 4(3), 97–118

    Google Scholar 

  22. Kulkar, A., et al.: Healthcare applications of the Internet of Things: a review. Int. J. Comput. Sci. Inf. Technol. (IJCSIT) 5(5), 6229–6232 (2014)

    Google Scholar 

  23. Chen, Y., Argentinis, J.D.E., Weber, G.: IBM Watson: how cognitive computing can be applied to big data challenges in life sciences research. Sci. Direct Clin. Ther. 38(4), 688–701 (2016)

    Google Scholar 

  24. Xiao, X., Chen, C., Sangaiah, A.K., Hu, G., Ye, R., Jiang, Y.: CenLocShare: a centralized privacy-preserving location-sharing system for mobile online social networks. Future Gener. Comput. Syst. (2017). https://doi.org/10.1016/j.future.2017.01.035

    Google Scholar 

  25. Akyildiz, I.F., Georgia Inst. of Technol., Atlanta, GA, USA, Su, W., Sankarasubramaniam, Y., Cayirci, E.: A survey on sensor networks. Commun. Mag. IEEE 40(8), 102–114 (2002)

    Google Scholar 

  26. Guicheng, S., Liu, B.: The visions, technologies, applications and security issues of Internet of Things. In: 2011 International Conference on E-Business and E-Government (ICEE). IEEE (2011)

    Google Scholar 

  27. Qiu, T., Zhang, Y., Qiao, D., Zhang, X., Wymore, M.L., Sangaiah, A.K.: A robust time synchronization scheme for industrial Internet of Things. IEEE Trans. Ind. Inf. (2017). https://doi.org/10.1109/TII.2017.2738842

    Google Scholar 

  28. Rohankar, R., Katti, C.P., Kumar, S.: Comparison of energy efficient data collection techniques in wireless sensor network. In: 3rd International Conference on Recent Trends in Computing 2015 (ICRTC-2015)

    Google Scholar 

  29. Rhee, S., Seetharam, D., Liu, S.: Techniques for Minimizing Power Consumption in Low Data-Rate Wireless Sensor Networks

    Google Scholar 

  30. Sharma, G.: Chatbots Mag. (2016)

    Google Scholar 

  31. Haziyev, S., Milovanov, Y.: Cognitive Computing: How to Transform Digital Systems to The Next Level of Intelligence, 11 Jan 2017

    Google Scholar 

  32. Schatsky, D., Ronanki, R., Petrov, P.: IBM Watson, cognitive technologies for health plans using artificial intelligence to meet new market demands, 27 Mar 2015

    Google Scholar 

  33. Matthews, S.: What is cognitive IoT? IBM big data and analytics Hub, 24 Mar 2016

    Google Scholar 

  34. Schatsky, D., Muraskin, C., Gurumurthy, R.: Cognitive technologies, the real business opportunities. Deliotte Review (2015)

    Google Scholar 

  35. Rick Francis, M.D.: Cognitive Computing in Healthcare: Current Capabilities and Future Directions, 14 Sept 2015

    Google Scholar 

  36. Samulowitz, H., Reddy, C., Sabharwal, A.: Cognitive Automation of Data Science (2014)

    Google Scholar 

  37. Davenport, T.H.: cognitive Computing in Healthcare: Early Adopters of IBM’s Watson, 08 Dec 2015

    Google Scholar 

  38. Rohaidi, N.: Asian Sci. Mag. https://www.asianscientist.com/2016/08/topnews/ibm-watson-rare-leukemia-university-tokyo-artificial-intelligence/

  39. Debnath, A., Singaravelu, P., Verma, S.: Privacy in wireless sensor networks using ring signature. In: 2014 Production and Hosting by Elsevier B.V. on behalf of King Saud University. http://dx.doi.org/10.1016/j.jksuci.2013.12.006

  40. Chelli, K.: Security issues in wireless sensor networks: attacks and countermeasures. In: Proceedings of the World Congress on Engineering, vol. I (2015)

    Google Scholar 

  41. Garcia-Alfaro, J., et al.: Data Trustworthiness—Approaches and Research Challenges, pp. 17–25. Springer International Publishing Switzerland (2015). https://doi.org/10.1007/978-3-319-17016-9_2

  42. Bhor, S.: Predictive Analytics in Healthcare. http://blog.harbinger-systems.com/2015/12/predictive-analytics-in-healthcare/. Accessed Dec 2015

  43. Amarasingham, R., et al.: Implementing electronic health care predictive analytics: considerations and challenges. Health Aff. (2014). https://doi.org/10.1377/hlthaff.2014.0352

    Google Scholar 

  44. Patel, S., et al.: A review of wearable sensors and systems with application in rehabilitation. J. Neuro Eng. Rehabil. 9, 21 (2012). https://doi.org/10.1186/1743-0003-9-21

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Hindustan University, Chennai, India

    Prabha Susy Mathew & Anitha S. Pillai

  2. Coventry University, Coventry, UK

    Vasile Palade

Authors
  1. Prabha Susy Mathew
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Anitha S. Pillai
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Vasile Palade
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Prabha Susy Mathew .

Editor information

Editors and Affiliations

  1. School of Computing Science and Engineering, VIT University, Vellore, Tamil Nadu, India

    Arun Kumar Sangaiah

  2. School of Computing Science and Engineering, VIT University, Vellore, Tamil Nadu, India

    Arunkumar Thangavelu

  3. Department of Computer Science and Engineering, National Institute of Technology, Surathkal, Mangalore, Karnataka, India

    Venkatesan Meenakshi Sundaram

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Mathew, P.S., Pillai, A.S., Palade, V. (2018). Applications of IoT in Healthcare. In: Sangaiah, A., Thangavelu, A., Meenakshi Sundaram, V. (eds) Cognitive Computing for Big Data Systems Over IoT. Lecture Notes on Data Engineering and Communications Technologies, vol 14 . Springer, Cham. https://doi.org/10.1007/978-3-319-70688-7_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-70688-7_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70687-0

  • Online ISBN: 978-3-319-70688-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics