Skip to main content

Advertisement

Springer Nature Link
Log in

Internet of Things based multiple disease monitoring and health improvement system

  • Original Research
  • Published:
Journal of Ambient Intelligence and Humanized Computing Aims and scope Submit manuscript

Abstract

Internet of Things (IoT), the state-of-the-art technology, has recently started to enhance different industries and services. One of the few that are impacted by this technology are medicine and healthcare industries. The application of IoT in healthcare, in particular, is a major field attracting many researchers nowadays. The aim of this paper is to propose an IoT based system for monitoring multiple diseases using Cisco packet tracer tool. The achieve this aim, the system is divided into two parts. The first part deals with data collection and processing from sensors and microcontrollers. The second part deals with offered services such as disease diagnosis, medicine administration, and emergency responses. To demonstrate the feasibility of the proposed system, three diseases are consider including hypertension, glaucoma, and chronic obstructive pulmonary disease. It is also possible to incorporate other diseases.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  • Ammari MA, Sultana K, Yunus F, Ghobain MA, Halwan SA (2016) A cross-sectional observational study to assess inhaler technique in Saudi hospitalized patients with asthma and chronic obstructive pulmonary disease. Saudi Med J 37:570–574

    Article  Google Scholar 

  • Barkana Y, Dorairaj S, Tham RE et al (2015) Global prevalence of glaucoma and projections of glaucoma burden through 2040: a systematic review and meta-analysis. Ophthalmology 2014 121:2081–2090 (Ophthalmology 122)

    Google Scholar 

  • Burden of COPD (2011) http://www.who.int/respiratory/copd/burden/en/. Accessed 15 Apr 2018

  • Chronic Obstructive Pulmonary Disease (COPD) (2016) http://www.who.int/en/news-room/fact-sheets/detail/chronic-obstructive-pulmonary-disease-(copd). Accessed 15 Apr 2018

  • Cisco Packet Tracer Simulator Tool. https://www.netacad.com/courses/packet-tracer. Accessed 15 Apr 2018

  • de Arriba-Pérez F, Caeiro-Rodríguez M, Santos-Gago JM (2018) How do you sleep? Using off the shelf wrist wearables to estimate sleep quality, sleepiness level, chronotype and sleep regularity indicators. J Ambient Intell Hum Comput 9:897–917

    Article  Google Scholar 

  • Gia TN, Ali M, Dhaou IB, Rahmani AM, Westerlund T, Liljeberg P, Tenhunen H (2017) IoT-based continuous glucose monitoring system: a feasibility study. Procedia Comput Sci 109:327–334

    Article  Google Scholar 

  • Global Strategy for the Diagnosis (2004) Management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary updated 2003. COPD J Chronic Obstr Pulm Dis 1:105–141

    Article  Google Scholar 

  • Gupta R, Gupta B, Kshitij A, Bala A (2014) Glaucoma research: a scientometric study of Indian publications output, 2002–11. DESIDOC J Libr Inf Technol 34:35–45

    Article  Google Scholar 

  • High Eye Pressure and Glaucoma. http://www.glaucoma.org/gleams/high-eye-pressure-and-glaucoma.php. Accessed 15 Apr 2018

  • Lakkis SI, Elshakankiri M (2017) IoT based emergency and operational services in medical care systems. In: Internet of things business models, users, and networks. IEEE, pp 1–5

  • Li C, Hu X, Zhang L (2017) The IoT-based heart disease monitoring system for pervasive healthcare service. Procedia Comput Sci 122:2328–2334

    Article  Google Scholar 

  • Manogaran G, Thota C, Lopez D, Vijayakumar V, Abbas KM, Sundarsekar R (2017) Big data knowledge system in healthcare studies in big data. In: Internet of things and big data technologies for next generation healthcare, pp 133–157

  • New ACC/AHA High Blood Pressure Guidelines Lower Definition of Hypertension (2017) http://www.acc.org/latest-in-cardiology/articles/2017/11/08/11/47/mon-5pm-bp-guideline-aha-2017. Accessed 15 Apr 2018

  • Neyja M, Mumtaz S, Huq KM, Busari SA, Rodriguez J, Zhou Z (2017) An IoT-based E-health monitoring system using ECG signal. In: GLOBECOM 2017–2017 IEEE global communications conference, 2017

  • Ocular Hypertension. https://www.webmd.com/eye-health/occular-hypertension#1. Accessed 15 Apr 2018

  • Odriscoll BR, Howard LS, Earis J, Mak V (2017) BTS guideline for oxygen use in adults in healthcare and emergency settings. Thorax 72:Ii1–Ii90

    Article  Google Scholar 

  • Pulse & SpO2. http://www.realfirstaid.co.uk/pulse/. Accessed 15 Apr 2018

  • Raised Blood Pressure (2015). http://www.who.int/gho/ncd/risk_factors/blood_pressure_prevalence_text/en/. Accessed 15 Apr 2018

  • Wu F, Xu L, Kumari S, Li X, Das AK, Shen J (2018) A lightweight and anonymous RFID tag authentication protocol with cloud assistance for e-healthcare applications. J Ambient Intell Hum Comput 9:919–930

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to acknowledge the support provided by Acadia University and the NSERC Discovery Grant of Canada for this work. The authors also like to thank King Fahd University of Petroleum and Minerals for their support.

Author information

Authors and Affiliations

  1. Computer Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia

    AbdulAziz AbdulGhaffar, Saud Mohammad Mostafa, Ammar Alsaleh & Tarek Sheltami

  2. Jodrey School of Computer Science, Acadia University, Wolfville, NS, B4P 2R6, Canada

    Elhadi M. Shakshuki

Authors
  1. AbdulAziz AbdulGhaffar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Saud Mohammad Mostafa
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ammar Alsaleh
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Tarek Sheltami
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Elhadi M. Shakshuki
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tarek Sheltami.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

AbdulGhaffar, A., Mostafa, S.M., Alsaleh, A. et al. Internet of Things based multiple disease monitoring and health improvement system. J Ambient Intell Human Comput 11, 1021–1029 (2020). https://doi.org/10.1007/s12652-019-01204-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12652-019-01204-6

Keywords