Skip to main content
SpringerLink
Log in

Intelligent Healthcare Solutions

  • Chapter
  • First Online:
Internet of Things (IoT)

Abstract

IoT technology has been present for more than a decade but has shown rapid growth in recent years, a process catalysed by advancements in sensors, smartphone technology and application software. The impact of IoT in healthcare sector has been so huge that it has paved way to a new frontier, Internet of Medical Things (IOMT). IOMT aims at achieving an intelligent and collaborative model capable of independent and isolated work with minimum security risks. Rapid advancements in sensing technologies, data processing techniques and end user applications helped establish IoT as an effective and adaptive technology in PHS.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
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

  • Alam, M., & Sethi, S. (2013). Security risks & migration strategy for cloudsourcing: A government perspective. International Journal of Engineering and Innovative Technology, 2(7), 205–209.

    Google Scholar 

  • Alam, M., Shakil, K. A., Javed, M. S., Ansari, M., & Ambreen. (2014). Detect and filter traffic attack through cloud trace back and neural network. In The 2014 international conference of Data Mining and Knowledge Engineering, Imperial College, London, 2–4 July, 2014.

    Google Scholar 

  • Ali Khattak, H., Ruta, M., & Di Sciascio, E. (2014). CoAP-based healthcare sensors network: A survey. In Proceedings of 2014 11th international Bhurban conference on Applied Sciences & Technology (IBCAST) Islamabad, Pakistan, 14th–18th January, 2014.

    Google Scholar 

  • Baker, S., Xiang, W., & Atkinson, I. (2017). Internet of things for smart healthcare: Technologies, challenges, and opportunities. IEEE Open Access, 5, 26521–26544.

    Article  Google Scholar 

  • Baños, R. M., Cebolla, A., Botella, C., García-palacios, A., & Oliver, E. (2011). Improving childhood obesity treatment using new technologies: The ETIOBE system. Clinical Practice and Epidemiology in Mental Health, 7, 62–66.

    Article  Google Scholar 

  • Baronti, P., Pillai, P., Chook, V. W. C., Chessa, S., Alberto, G., & Fun Hu, Y. (2007). Wireless sensor networks: A survey on the state of the art and the 802.15.4 and ZigBee standards. Elsevier, Computer Communications, 30, 1655–1695.

    Article  Google Scholar 

  • Bashir, A., Doja, M. N., Alam, M., & Malhotra, S. (2013). Security issues analysis for cloud computing. International Journal of Computer Science and Information Security, 11(9), 117–125.

    Google Scholar 

  • Chiang, M., & Zhang, T. (2016). Fog and IoT: An overview of research opportunities. IEEE Internet of Things Journal, 3(6), 854–864.

    Article  Google Scholar 

  • Da Xu, L., He, W., & Li, S. (2014). Internet of things in industries: A survey. IEEE Transactions on Industrial Informatics, 10, 2233–2243.

    Article  Google Scholar 

  • Haghi, M., Thurow, K., & Stoll, R. (2017). Wearable devices in medical internet of things: Scientific research and commercially available devices. The Korean Society of Medical Informatics, (1), 4–15.

    Google Scholar 

  • Jabarullah, B. M., Saxena, S., Kennedy Babu, C. N., & Alam, M. (2012). Hybrid approach of face recognition. Cyber Times International Journal of Technology & Management, 6(1), 6–12.

    Google Scholar 

  • Kamaleswaran, R., Akbilgic, O., Hallman, M. A., West, A. N., Davis, R. L., & Shah, S. H. (2018). Applying artificial intelligence to identify physiomarkers predicting severe sepsis in the PICU. Pediatric Clinical Care Medicine, 19(10), 1.

    Google Scholar 

  • Kaur, A., & Alam, M. (2013). Role of knowledge engineering in the development of a hybrid knowledge based medical information system for atrial fibrillation. American Journal of Industrial and Business Management, 3(1), 36–41.

    Article  Google Scholar 

  • Khan, I., Naqvi, S. K., & Alam, M. (2015). Data model for big data in cloud environment. In Computing for sustainable global development (INDIACom), 2015 2nd international conference, New Delhi, 11–13 March 2015.

    Google Scholar 

  • Khan, S., Shakil, K. A., & Alam, M. (2017). Cloud based big data analytics: A survey of current research and future directions. Springer, Big Data Analytics.

    Google Scholar 

  • Kim, S. (2015). Nested game-based computation offloading scheme for mobile cloud IoT systems. EURASIP Journal on Wire-less Communications and Networking, 1, 1–11.

    Google Scholar 

  • Kodali, R. K., Swamy, G., & Lakshmi, B. (2015, December). An implementation of IoT for healthcare. In IEEE Recent Advances in Intelligent Computational Systems (RAICS) 10–12 December 2015.

    Google Scholar 

  • Po, Y., Stankevicius, D., Marozas, V., Deng, Z. k., Lukosevicius, A., Dong, F., Liu, E., & Dali, X. (2016). Lifelogging data validation model for internet of things enabled personalized healthcare. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 48, 50–64.

    Google Scholar 

  • Qi, J., Po, Y., Min, G., Amft, O., Dong, F., & Xu e, L. (2017). Advanced internet of things for personalised healthcare systems: A survey. Elsevier. Pervasive and Mobile Computing, 41, 132–149.

    Article  Google Scholar 

  • Raza, K., & Alam, M. (2016). Recurrent neural network based hybrid model for reconstructing gene regulatory network. Elsevier, Computational Biology and Chemistry, 64, 322–334.

    Article  Google Scholar 

  • Riazul Islam, S. M., Kwak, D., Kabir, M. H., Hossain, M., & Kwak, K.-S. (2015). The internet of things for health care: A comprehensive survey. IEEE Access, 3, 678–708.

    Article  Google Scholar 

  • Samie, F., Bauer, L., & Henkel, J. (2015). An approximate compressor for wearable biomedical healthcare monitoring systems. In Proceedings of the 10th international conference on Hardware/Software Codesign and System Synthesis, Amsterdam, The Netherlands, October 04–09, 2015.

    Google Scholar 

  • Samie, F., Bauer, L., & Henkel, J. (2016). IoT technologies for embedded computing: A Survey. In IEEE international conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), Pittsburg, PA.

    Google Scholar 

  • Saxena, S., Alam, M., & Jabarullah, B. M. (2018). DS-HM model with DCT-HW features for face recognition. International Journal of Scientific Research in Computer Science Applications and Management Studies, 7(5).

    Google Scholar 

  • Sepsis https://en.wikipedia.org/wiki/Sepsis

    Google Scholar 

  • Shakil, K. A., & Alam, M. (2014). Data management in cloud based environment using k-median clustering technique. IJCA Proceedings on 4th International IT Summit Confluence 2013- The Next Generation Information Technology Summit Confluence, 2013(3), 8–13. Jan-14.

    Google Scholar 

  • Shakil, K. A., & Alam, M. (2017). Cloud computing in bioinformatics and big data analytics: Current status and future research. Springer, Big Data Analytics.

    Google Scholar 

  • Varshney, U. (2005). Pervasive healthcare: Applications, challenges and wireless solutions. Communications of the Association for Information Systems, 16(3), 57–72.

    Google Scholar 

  • Zachariah, T., Klugman, N., Campbell, B., et al. (2015). The internet of things has a gateway problem. In Proceedings of the 16th international Workshop on Mobile Computing Systems and Applications, Santa Fe, New Mexico, USA, February 12–13, 2015.

    Google Scholar 

  • Zhang, B., Mor, N., Kolb, J., et al. (2015). The cloud is not enough: Saving iot from the cloud. In Proceedings of the 7th USENIX conference on hot topics in cloud computing, Santa Clara, CA, July 06–07, 2015.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Engineering, Faculty of Engineering and Technology, New Delhi, India

    Salman Basheer Ahmed

  2. Pusa Institute of Technology, New Delhi, India

    B. M. Jabarullah

Authors
  1. Salman Basheer Ahmed
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. B. M. Jabarullah
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science, Jamia Millia Islamia, New Delhi, India

    Mansaf Alam

  2. College of Computer & Information Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

    Kashish Ara Shakil

  3. Department of Computer Science, Jamia Millia Islamia, New Delhi, India

    Samiya Khan

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Ahmed, S.B., Jabarullah, B.M. (2020). Intelligent Healthcare Solutions. In: Alam, M., Shakil, K., Khan, S. (eds) Internet of Things (IoT). Springer, Cham. https://doi.org/10.1007/978-3-030-37468-6_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-37468-6_20

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37467-9

  • Online ISBN: 978-3-030-37468-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation