Internet of Things based multiple disease monitoring and health improvement system

  • AbdulAziz AbdulGhaffar
  • Saud Mohammad Mostafa
  • Ammar Alsaleh
  • Tarek SheltamiEmail author
  • Elhadi M. Shakshuki
Original Research


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.


Internet of Things (IoT) Healthcare Disease monitoring Hypertension Glaucoma Chronic obstructive pulmonary disease (COPD) 



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.


  1. 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 37:570–574CrossRefGoogle Scholar
  2. 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
  3. Burden of COPD (2011) Accessed 15 Apr 2018
  4. Chronic Obstructive Pulmonary Disease (COPD) (2016) Accessed 15 Apr 2018
  5. Cisco Packet Tracer Simulator Tool. Accessed 15 Apr 2018
  6. 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 9:897–917CrossRefGoogle Scholar
  7. 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 109:327–334CrossRefGoogle Scholar
  8. 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 1:105–141CrossRefGoogle Scholar
  9. 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 34:35–45CrossRefGoogle Scholar
  10. High Eye Pressure and Glaucoma. Accessed 15 Apr 2018
  11. 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 1–5Google Scholar
  12. Li C, Hu X, Zhang L (2017) The IoT-based heart disease monitoring system for pervasive healthcare service. Procedia Comput Sci 122:2328–2334CrossRefGoogle Scholar
  13. 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 133–157Google Scholar
  14. New ACC/AHA High Blood Pressure Guidelines Lower Definition of Hypertension (2017) Accessed 15 Apr 2018
  15. 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, 2017Google Scholar
  16. Ocular Hypertension. Accessed 15 Apr 2018
  17. Odriscoll BR, Howard LS, Earis J, Mak V (2017) BTS guideline for oxygen use in adults in healthcare and emergency settings. Thorax 72:Ii1–Ii90CrossRefGoogle Scholar
  18. Pulse & SpO2. Accessed 15 Apr 2018
  19. Raised Blood Pressure (2015). Accessed 15 Apr 2018
  20. 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 9:919–930CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • AbdulAziz AbdulGhaffar
    • 1
  • Saud Mohammad Mostafa
    • 1
  • Ammar Alsaleh
    • 1
  • Tarek Sheltami
    • 1
    Email author
  • Elhadi M. Shakshuki
    • 2
  1. 1.Computer Engineering DepartmentKing Fahd University of Petroleum and MineralsDhahranSaudi Arabia
  2. 2.Jodrey School of Computer ScienceAcadia UniversityWolfvilleCanada

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