Skip to main content
SpringerLink
Log in

A Survey on Internet of Things in Telehealth

  • Conference paper
  • First Online:
Complex, Intelligent and Software Intensive Systems (CISIS 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 278))

Included in the following conference series:

Abstract

With the recent development in the field of Information and Communication Technology, there are many different ways to deliver health services remotely. Over the last few years there has been a vital change in providing medical consultation to patients, video chatting is proved to be one of the most essential ways of Telemedicine or Telehealth. This remote way of providing consultation is ensuring provision of medical facility to people who reside countryside, who used to travel long distances in order to get regular health check-ups. The main goal of improvising telehealth in day-to-day practice is to enhance end user’s experience, increase the efficiency as well as quality of medical services provided to common people. Nowadays, telehealth can be considered as a strong alternative over the traditional methods. With the increase in outreach to people, these health services have become fast paced and completely digitized. Such services are even more useful for people with a disability or aged people suffering from chronic diseases.

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 219.99
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

Institutional subscriptions

References

  1. Oracle. https://www.oracle.com/au/internet-of-things/what-is-iot.html (2020)

  2. Tuckson, R.V., Edmunds, M., Hodgkins, M.L.: TeleHealth. N. Engl. J. Med. 377(16), 1585–1592 (2017)

    Article  Google Scholar 

  3. Joseph, S., Ferlin Shahila, D., Patnaik, S.: IoT based remote health care monitoring. In: 2019 International Conference on Advances in Computing, Communication and Control (ICAC3) (2020)

    Google Scholar 

  4. Ozkan, H., Ozhan, O., Karadana, Y.: A portable wearable Tele-ECG monitoring system. IEEE Trans. Instrum. Meas. 69, 173–182 (2020)

    Article  Google Scholar 

  5. Piwek, L., Ellis, D.A., Andrews, S., Joinson, A.: The rise of consumer health wearables: promises and barriers. PLoS Med. 13(2), e1001953 (2016)

    Article  Google Scholar 

  6. Ledger, D., McCaffrey, D.: Inside Wearables - How the Science of Human Behaviour Change Offers the Secret to Long-term Engagement. Endeavour Partners, Cambridge, MA, USA (2014)

    Google Scholar 

  7. QS: https://quantifiedself.com/about/what-is-quantified-self/ (2020)

  8. Wolf, J.A., et al.: Diagnostic inaccuracy of smartphone applications for melanoma detection. JAMA Dermatol. 149(4), 422–426 (2013)

    Article  Google Scholar 

  9. Chiuchisan, I., Geman, O., Hagan, M.: Wearable sensors in intelligent clothing for human activity monitoring. In: 2019 International Conference on Sensing and Instrumentation in IoT Era (ISSI), (2019)

    Google Scholar 

  10. Pirbhulal, S., Pombo, N.: Towards machine learning enabled security framework for IoT-based healthcare. In: 13th International Conference on Sensing Technology (ICST), (2020)

    Google Scholar 

  11. Anon.: The Department of Health. https://www1.health.gov.au/internet/main/publishing.nsf/Content/ehealth-nbntelehealth-pilots (2020)

  12. Direct, S.: https://www.sciencedirect.com/topics/neuroscience/wearable-sensor (2020)

  13. Abdoli, S., Hajati, F.: Offline signature verification using geodesic derivative pattern. In: 22nd Iranian Conference on Electrical Engineering (ICEE), pp. 1018–1023. Tehran (2014)

    Google Scholar 

  14. Barzamini, R., Hajati, F., Gheisari, S., Motamadinejad, M.B.: Short term load forecasting using multi-layer perception and fuzzy inference systems for Islamic countries. J. Appl. Sci. 12(1), 40–47 (2012)

    Article  Google Scholar 

  15. Shojaiee, F., Hajati, F.: Local composition derivative pattern for palmprint recognition. In: 22nd Iranian Conference on Electrical Engineering (ICEE), pp. 965–970. Tehran (2014)

    Google Scholar 

  16. Hajati, F., Raie, A., Gao, Y.: Pose-invariant 2.5 D face recognition using geodesic texture warping. In: 11th International Conference on Control Automation Robotics and Vision, pp. 1837–1841. Singapore (2010).

    Google Scholar 

  17. Ayatollahi, F., Raie, A., Hajati, F.: Expression-invariant face recognition using depth and intensity dual-tree complex wavelet transform features. J. Electron. Imaging 24(2), 23–31 (2015)

    Article  Google Scholar 

  18. Pakazad, S.K., Faez, K., Hajati, F.: Face detection based on central geometrical moments of face components. In: IEEE International Conference on Systems, Man and Cybernetics (SMC 2006). Taiwan (2006)

    Google Scholar 

  19. Hajati, F., Cheraghian, A., Gheisari, S., Gao, Mian, A.S.: Surface geodesic pattern for 3D deformable texture matching. Pattern Recogn. 62, 21–32 (2017)

    Article  Google Scholar 

  20. Abdoli, S., Hajati, F.: Offline signature verification using geodesic derivative pattern. In: 22nd Iranian Conference on Electrical Engineering (ICEE), pp. 1018–1023. Tehran (2014)

    Google Scholar 

  21. Hajati, F., Faez, K., Pakazad, S.K.: An efficient method for face localization and recognition in color images. In: IEEE International Conference on Systems, Man and Cybernetics (SMC 2006). Taiwan (2006)

    Google Scholar 

  22. Hajati, F., Raie, A., Gao, Y.: Pose-invariant multimodal (2d + 3d) face recognition using geodesic distance map. J. Am. Sci. 7(10), 583–590 (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Engineering and Science, Victoria University Sydney, Sydney, Australia

    Komal Marwah & Farshid Hajati

Authors
  1. Komal Marwah
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Farshid Hajati
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Farshid Hajati .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Information Security Engineering, Soonchunhyang University, Asan, Korea (Republic of)

    Kangbin Yim

  3. Faculty of Bussiness Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Marwah, K., Hajati, F. (2021). A Survey on Internet of Things in Telehealth. In: Barolli, L., Yim, K., Enokido, T. (eds) Complex, Intelligent and Software Intensive Systems. CISIS 2021. Lecture Notes in Networks and Systems, vol 278. Springer, Cham. https://doi.org/10.1007/978-3-030-79725-6_23

Download citation

Publish with us

Policies and ethics

Search

Navigation