Skip to main content
SpringerLink
Log in
Book cover

Applications in Ubiquitous Computing pp 3–12Cite as

The Pivotal Role of Internet of Things and Ubiquitous Computing in Healthcare

  • Chapter
  • First Online:

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Abstract

Quality healthcare is based on the speed as well as the accuracy and supporting many people with huge range of devices which are connected with Internet of Things (IoT), since providing healthcare to every person plays a major role in developing a country. In order to implement intelligent patient care, medical data must be converted into meaningful insights with the help of IoT and ubiquitous computing. Healthcare became technically advanced with IoT and ubiquitous computing by leveraging devices like connected sensors as well as wearable devices that patients can use to send and receive information for real-time monitoring by doctors. This chapter presents the importance of deploying the Internet of Things and ubiquitous computing for enhancing healthcare.

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   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   54.99
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

Learn about institutional subscriptions

References

  1. Xu, B., Xu, L. D., Cai, H., Xie, C., Hu, J., & Bu, F. (2014, May). Ubiquitous data accessing method in IoT-based information system for emergency medical services. IEEE Transactions Industrial Informatics, 10(2), 1578–1586.

    Article  Google Scholar 

  2. Olaronke, I., & Oluwaseun, O. (2016, Dec). Big data in healthcare: Prospects, challenges and resolutions. Proceedings of the Future Technologies Conference (FTC), 1152–1157.

    Google Scholar 

  3. Zhou, J., Cao, Z., Dong, X., & Vasilakos, A. V. (Jan. 2017). Security and privacy for cloud-based IoT: Challenges. IEEE Communications Magazine, 55(1), 26–33.

    Article  Google Scholar 

  4. Symptoms of Parkinson’s. (2017). [online] Available: https://shakeitup.org.au/understanding-parkinsons/symptoms-of-parkinsons/

  5. Ženko, J., Kos, M., & Kramberger, I. (2016, May). Pulse rate variability and blood oxidation content identification using miniature wearable wrist device. Proceedings of the International Conference on Systems, Signals and Image Processing (IWSSIP), 1–4.

    Google Scholar 

  6. HSM-Tri. (2017). [online] Available: https://buy.garmin.com/en-AU/AU/p/136403

  7. H7 Heart Rate Sensor. (2017). [online] Available: https://www.polar.com/au-en/products/accessories/H7_heart_rate_sensor

  8. FitBit PurePulse. (2017). [online] Available: https://www.fitbit.com/au/purepulse

  9. Lee, H., Ko, H., Jeong, C., & Lee, J. (2017, Feb). Wearable photoplethysmographic sensor based on different LED light intensities. IEEE Sensors Journal, 17(3), 587–588.

    Google Scholar 

  10. Shu, Y., Li, C., Wang, Z., Mi, W., Li, Y., & Ren, T.-L. (2015). A pressure sensing system for heart rate monitoring with polymer-based pressure sensors and an anti-interference post processing circuit. Sensors, 15(2), 3224–3235.

    Article  Google Scholar 

  11. Wang, D., Zhang, D., & Lu, G. (2015, Jul). A novel multichannel wrist pulse system with different sensor arrays. IEEE Transactions on Instrumentation and Measurement, 64(7), 2020–2034.

    Article  Google Scholar 

  12. Wang, D., Zhang, D., & Lu, G. (2016, Mar). An optimal pulse system design by multichannel sensors fusion. IEEE Journal of Biomedical and Health Informatics, 20(2), 450–459.

    Article  Google Scholar 

  13. Zuo, W., Wang, P., & Zhang, D. (2016, Jan). Comparison of three different types of wrist pulse signals by their physical meanings and diagnosis performance. IEEE Journal of Biomedical and Health Informatics, 20(1), 119–127.

    Article  Google Scholar 

  14. An, Y.-J., Kim, B.-H., Yun, G.-H., Kim, S.-W., Hong, S.-B., & Yook, J.-G. (2016, Apr). Flexible non-constrained RF wrist pulse detection sensor based on array resonators. IEEE Transactions on Biomedical Circuits and Systems, 10(2), 300–308.

    Article  Google Scholar 

  15. Milici, S., Lorenzo, J., Lázaro, A., Villarino, R., & Girbau, D. (2017, Mar). Wireless breathing sensor based on wearable modulated frequency selective surface. IEEE Sensors Journal, 17(5), 1285–1292.

    Article  Google Scholar 

  16. Varon, C., Caicedo, A., Testelmans, D., Buyse, B., & van Huffel, S. (2015, Sept). A novel algorithm for the automatic detection of sleep apnea from single-lead ECG. IEEE Transactions on Biomedical Engineering, 62(9), 2269–2278.

    Article  Google Scholar 

  17. Oletic, D., & Bilas, V. (2016, Dec). Energy-efficient respiratory sounds sensing for personal mobile asthma monitoring. IEEE Sensors Journal, 16(23), 8295–8303.

    Google Scholar 

  18. Yang, X., et al. (2015, Feb). Textile fiber optic microbend sensor used for heartbeat and respiration monitoring. IEEE Sensors Journal, 15(2), 757–761.

    Article  Google Scholar 

  19. Min, S. D., Yun, Y., & Shin, H. (2014, Sept). Simplified structural textile respiration sensor based on capacitive pressure sensing method. IEEE Sensors Journal, 14(9), 3245–3251.

    Article  Google Scholar 

  20. Mahbub, I., et al. (2017, Mar). A low-power wireless piezoelectric sensor-based respiration monitoring system realized in CMOS process. IEEE Sensors Journal, 17(6), 1858–1864.

    Article  Google Scholar 

  21. Atalay, O., Kennon, W. R., & Demirok, E. (2015, Jan). Weft-knitted strain sensor for monitoring respiratory rate and its electro-mechanical modeling. IEEE Sensors Journal, 15(1), 110–122.

    Article  Google Scholar 

  22. Aqueveque, P., Gutiérrez, C., Rodríguez, F. S., Pino, E. J., Morales, A., & Wiechmann, E. P. (2017, May/Jun). Monitoring physiological variables of mining workers at high altitude. IEEE Transactions on Industry Applications, 53(3), 2628–2634.

    Article  Google Scholar 

  23. Narczyk, P., Siwiec, K., & Pleskacz, W. A. (2016, Apr). Precision human body temperature measurement based on thermistor sensor. Proceedings of the 2016 IEEE 19th International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS) (pp. 1–5).

    Google Scholar 

  24. Nakamura, T., et al. (2016, Feb). Development of flexible and wide-range polymer-based temperature sensor for human bodies. Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (pp. 485–488).

    Google Scholar 

  25. Gope, P., & Hwang, T. (2016). BSN-care: A secure IoT-based modern healthcare system using body sensor network. IEEE Sensors Journal, 16(5), 1368–1376.

    Article  Google Scholar 

  26. Yeh, K. H. (2016). A secure IoT-based healthcare system with body sensor networks. IEEE Access, 4, 10288–10299.

    Article  Google Scholar 

  27. Kern, S. E., & Jaron, D. (2003, Jan-Feb). Healthcare technology, economics and policy: An evolving balance. IEEE Engineering in Medicine and Biology Magazine, 22, 16–19.

    Article  Google Scholar 

  28. Wells PNT. (2003, Jan–Feb). Can technology truly reduce healthcare costs. IEEE Engineering in Medicine and Biology Magazine, 22, 20–25.

    Article  Google Scholar 

  29. Suresh, A. (2017). Heart disease prediction system using ANN, RBF and CBR. International Journal of Pure and Applied Mathematics, (IJPAM), 117(21), 199–216. ISSN: 1311-8080, E-ISSN: 1314-3395.

    Google Scholar 

  30. Yuan, B., & Herbert, J. (2012). Fuzzy CARA – A fuzzy-based context reasoning system for pervasive healthcare. Procedia Computer Science (ANT), 10, 357–365.

    Article  Google Scholar 

  31. Sun, H. M. (2014). Online smoothness with dropping partial data based on advanced video coding stream. Multimedia Tools and Applications, 69, 1021. https://doi.org/10.1007/s11042-012-1141-x.

    Article  Google Scholar 

  32. Suresh, A., Kumar, R., & Varatharajan, R. (2018). Health care data analysis using evolutionary algorithm. The Journal of Supercomputing. https://doi.org/10.1007/s11227-018-2302-0.

  33. Vijayalakshmi, K., Uma, S., Bhuvanya, R., & Suresh, A. (2018, Feb). A demand for wearable devices in health care. International Journal of Engineering and Technology, 7(1.7), 01–04. https://doi.org/10.14419/ijet.v7i1.7.9377. ISSN: 2227-524X.

  34. Udendhran, R. (2017, Mar 22–23). A hybrid approach to enhance data security in cloud storage. ICC’17 Proceedings of the Second International Conference on Internet of things and Cloud Computing at Cambridge University, UK. ISBN: 978-1-4503-4774-7. https://doi.org/10.1145/3018896.3025138.

  35. Suresh, A., Udendhran, R., Balamurgan, M., et al. (2019). A novel internet of things framework integrated with real time monitoring for intelligent healthcare environment. Springer-Journal of Medical System, 43, –165. https://doi.org/10.1007/s10916-019-1302-9.

  36. Suresh, A., Udendhran, R., & Balamurgan, M. (2019). Hybridized neural network and decision tree based classifier for prognostic decision making in breast cancers. Springer - Journal of Soft Computing. https://doi.org/10.1007/s00500-019-04066-4.

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Bharathidasan University, Trichy, India

    R. Udendhran & G. Yamini

Authors
  1. R. Udendhran
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. G. Yamini
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, I K Gujral Punjab Technical University, Kapurthala, Punjab, India

    Raman Kumar

  2. Inst Politécnico de Viana do Castelo, Viana do Castelo, Portugal

    Sara Paiva

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Udendhran, R., Yamini, G. (2021). The Pivotal Role of Internet of Things and Ubiquitous Computing in Healthcare. In: Kumar, R., Paiva, S. (eds) Applications in Ubiquitous Computing. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-35280-6_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-35280-6_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-35279-0

  • Online ISBN: 978-3-030-35280-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation