Cover
Vol. 18 No. 1 (2022)

Published: June 30, 2022

Pages: 9-20

Review Article

Review in IoT for Healthcare in Our Life

Bayadir A. Issa 1 Qabeela Q. Thabit 2
1Southern Technical University, Management Technical College-Basrah, Iraq
2Ministry of Education, Basrah Education Directorate, Basrah, Iraq
History
  • Received: October 16, 2021
  • Revised: November 6, 2021
  • Accepted: November 6, 2021
  • Available Online: November 6, 2021
DOI

https://doi.org/10.37917/ijeee.18.1.2

Abstract

Over the previous decade, significant research has been conducted in the field of healthcare services and their technological advancement. To be more precise, the Internet of Things (IoT) has demonstrated potential for connecting numerous medical devices, sensors, and healthcare professionals in order to deliver high-quality medical services in remote locations. This has resulted in an increase in patient safety, a decrease in healthcare expenses, an increase in the healthcare services' accessibility, and an increase in the industry's healthcare operational efficiency. This paper provides an overview of the possible healthcare uses of Internet of Things (IoT)-based technologies. The evolution of the HIoT application has been discussed in this article in terms of enabling technology, services of healthcare, and applications for resolving different healthcare challenges. Additionally, effort difficulties and drawbacks with the HIoT system are explored. In summary, this study provides a complete source of information on the many applications of HIoT together the purpose is to help future academics who are interested in working in the field and making advances gain knowledge into the issue.

Keywords

References

  1. Z. Ali, M. S. Hossain, G. Muhammad, and A. K. Sangaiah, “An intelligent healthcare system for detection and classification to discriminate vocal fold disorders,” Future Generation Computer Systems, vol. 85, pp. 19-28, 2018.
  2. G. Yang, L. Xie, M. Mantysalo et al., “A health-IoT platform based on the integration of intelligent packaging, unobtrusive bio-sensor, and intelligent medicine box,” IEEE Transactions on Industrial Informatics, vol. 10, no. 4, pp. 2180–2191, 2014.
  3. Y. Yan, “A home-based health information acquisition system,” Health Information Science and Systems, vol. 1, p. 12, 2013.
  4. M. Khan, K. Han, and S. Karthik, “Designing smart control systems based on internet of things and big data analytics,” Wireless Personal Communications, vol. 99, no. 4, pp. 1683–1697, 2018.
  5. P. J. Nachankar, “IOT in agriculture,” Decision Making, vol. 1, no. 3, 2018.
  6. V. G. Menon, “An IoT-enabled intelligent automobile system for smart cities,” Internet of @ings, p. 100213, 2020.
  7. E. Qin, “Cloud computing and the internet of things: technology innovation in automobile service,” in Proceedings of the International Conference on Human Interface and the Management of Information, pp. 173– 180, Las Vegas, NV, USA, July 2013.
  8. B. Alhasnawi, B. Jasim, B. Issa “Internet of Things (IoT) for Smart Precision Agriculture” Iraqi Journal for Electrical and Electronic Engineering, vol. 18, no. 8, p. 1- 11, 2020.
  9. P. S. Mathew, “Applications of IoT in healthcare,” in Cognitive Computing for Big Data Systems over IoT, pp. 263–288, Springer, Berlin, Germany, 2018.
  10. V. Jagadeeswari, “A study on medical Internet of things and Big Data in personalized healthcare system,” Health Information Science and Systems, vol. 6, p. 14, 2018.
  11. H. Peng, Y. Tian, J. Kurths, L. Li, Y. Yang, and D. Wang, “Secure and energy-efficient data transmission system based on chaotic compressive sensing in body-to- body networks,” IEEE Transactions on Biomedical Circuits and Systems, vol. 11, no. 3, pp. 558–573, 2017.
  12. A. Gatouillat, Y. Badr, B. Massot, and E. Sejdic, “Internet of medical things: a review of recent contributions dealing with cyber-physical systems in medicine,” IEEE Internet of @ings Journal, vol. 5, no. 5, pp. 3810–3822, 2018. Issa & Thabit | 19
  13. L. M. Dang, M. J. Piran, D. Han, K. Min, and H. Moon, “A survey on internet of things and cloud computing for healthcare,” Electronics, vol. 8, no. 7, p. 768, 2019.
  14. B. Oryema, “Design and implementation of an interoperable messaging system for IoT healthcare services,” in Proceedings of the 2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC), pp. 45–52, Las Vegas, NV, USA, January 2017.
  15. A. Ahad, M. Tahir, and K.-L. A. Yau, “5G-based smart healthcare network: architecture, taxonomy, challenges and future research directions,” IEEE Access, vol. 7, pp. 100747–100762, 2019.
  16. M. N. Birje and S. S. Hanji, “Internet of things based distributed healthcare systems: a review,” Journal of Data, Information and Management, vol. 2, 2020.
  17. K. T. Kadhim, “An overview of patient’s health status monitoring system based on internet of things (IoT),” Wireless Personal Communications, vol. 114, pp. 1–28, 2020.
  18. Y. Yuehong, “The internet of things in healthcare: an overview,” Journal of Industrial Information Integration, vol. 1, pp. 3–13, 2016.
  19. G. Shanmugasundaram and G. Sankarikaarguzhali, “An investigation on IoT healthcare analytics,” International Journal of Information Engineering and Electronic Business, vol. 9, no. 2, p. 11, 2017.
  20. J.-Y. Lee and R. A. Scholtz, “Ranging in a dense multipath environment using an UWB radio link,” IEEE Journal on Selected Areas in Communications, vol. 20, pp. 1677–1683, 2002.
  21. H. Aftab, K. Gilani, J. Lee, L. Nkenyereye, S. Jeong, and J. Song, “Analysis of identifiers in IoT platforms,” Digital Communications and Networks, vol. 6, no. 3, pp. 333-340, 2020.
  22. G. Cerruela Garc´ıa, I. Luque Ruiz, and M. G´omez- Nieto, “State of the art, trends and future of Bluetooth low energy, A. D. Dwivedi, L. Malina, P. Dzurenda, and G. Srivastava, “Optimized blockchain model for internet of things-based healthcare applications,” 2019 42nd Int. Conf. Telecommun. Signal Process. TSP 2019, pp. 135– 139, 2019, doi: 10.1109/TSP.2019.8769060.
  23. M. S. Hossain and G. Muhammad, “Cloud-assisted Industrial Internet of Things (IIOT) -Enabled framework for health monitoring,” Comput. Networks, vol. 101, pp. 192–202, 2016, doi: 10.1016/j.comnet.2016.01.009.
  24. A. Darwish, A. E. Hassanien, M. Elhoseny, A. K. Sangaiah, and K. Muhammad, “The impact of the hybrid platform of internet of things and cloud computing on healthcare systems: opportunities, challenges, and open problems,” J. Ambient Intell. Humaniz. Comput., vol. 10, no. 10, pp. 4151–4166, 2019, doi: 10.1007/s12652-017- 0659-1.
  25. H. Ahmadi, G. Arji, L. Shahmoradi, R. Safdari, M. Nilashi, and M. Alizadeh, The application of internet of things in healthcare: a systematic literature review and classification, vol. 18, no. 4. Springer Berlin Heidelberg, 2019.
  26. D. Pal, S. Funilkul, N. Charoenkitkarn, and P. Kanthamanon, “Internet-of-Things and Smart Homes for Elderly Healthcare: An End User Perspective,” IEEE Access, vol. 6, pp. 10483–10496, 2018, doi: 10.1109/ACCESS.2018.2808472.
  27. S. B. Baker, W. Xiang, and I. Atkinson, “Internet of Things for Smart Healthcare: Technologies, Challenges, and Opportunities,” IEEE Access, vol. 5, pp. 26521– 26544, 2017, doi: 10.1109/ACCESS.2017.2775180.
  28. G. Manogaran, R. Varatharajan, D. Lopez, P. M. Kumar, R. Sundarasekar, and C. Thota, “A new architecture of Internet of Things and big data ecosystem for secured smart healthcare monitoring and alerting system,” Future. Genre. computer. Syst., vol. 82, pp. 375– 387, 2018, doi: 10.1016/j.future.2017.10.045.
  29. R. M. Stuppia L., Ferone E., Manzoli L., Pitasi A, “Innovative Healthcare Systems for the 21st Century,” Innov. Healthc. Syst. 21st Century, pp. 15–70, 2017, doi: 10.1007/978-3- 319-55774-8.
  30. L. Minh Dang, M. J. Piran, D. Han, K. Min, and H. Moon, “A survey on internet of things and cloud computing for healthcare,” Electron., vol. 8, no. 7, pp. 1– 49, 2019, doi: 10.3390/electronics8070768.
  31. P. Sundaravadivel, E. Kougianos, S. P. Mohanty, and M. K. Ganapathiraju, “Everything You Wanted to Know about Smart Health Care: Evaluating the Different Technologies and Components of the Internet of Things for Better Health,” IEEE Consume. Electron. Mag., vol. 7, no. 1, pp. 18–28, 2018, doi: 10.1109/MCE.2017.2755378.
  32. F. Firouzi et al., “Internet-of-Things and big data for smarter healthcare: From device to architecture, applications and analytics,” Future. Genre. Comput. Syst., vol. 78, pp. 583–586, 2018, doi: 10.1016/j.future.2017.09.016.
  33. Y. E. Gelogo and H. K. Kim, “Integration of wearable monitoring device and android smartphone apps for u- healthcare monitoring system,” International Journal of Software Engineering and Its Applications, vol. 9, no. 4, pp. 195–202, 2015.
  34. O. Banos, C. Villalonga, M. Damas, P. Gloesekoetter, H. Pomares, and I. Rojas, “Physio droid: Combining wearable health sensors and mobile devices for a ubiquitous, continuous, and personal monitoring,” The Scientific World Journal, 2014.
  35. C. Thuemmler and C. Bai, “Health 4.0: application of industry 4.0 design principles in future Asthma management,” Springer International Publishing, pp. 23– 37, 2017.
  36. H. Adeli, S. Ghosh-Dastidar, and N. Dadmehr, “A wavelet-chaos methodology for analysis of EEGs and EEG subbands to detect seizure and epilepsy,” IEEE Transactions on Biomedical Engineering, vol. 54, NO. 2, Feb. 2007.
  37. Y. Chae, J. Jeong, and S. Jo, “Toward brain-actuated humanoid robots: Asynchronous direct control using an eeg-based bci,” IEEE Transactions on Robotics, vol. 28, no. 5, pp. 1131–1144, Oct 2012.
  38. F. Duan, D. Lin, W. Li, and Z. Zhang, “Design of a multimodal egg-based hybrid bci system with visual servo module,” IEEE Transactions on Autonomous Mental Development, vol. 7, no. 4, pp. 332–341, Dec 2015.
  39. A. J. C. Trappey, C. V. Trappey, U. H. Govindarajan, J. J. Sun, and A. C. Chuang, “A review of technology Issa & Thabit standards and patent portfolios for enabling cyber-physical systems in advanced manufacturing,” IEEE Access, vol. 4, pp. 7356–7382, 2016.
  40. T. Moy, L. Huang, W. Rieutort-Louis, C. Wu, P. Cuff, S. Wagner, J. C. Sturm, and N. Verma, “An egg acquisition and biomarker extraction system using low- noise-amplifier and compressive sensing circuits based on flexible, thin-film electronics,” IEEE Journal of Solid- State Circuits, vol. 52, no. 1, pp. 309–321, Jan 2017.
  41. D. Craven, B. McGinley, L. Kilmartin, M. Glavin, and E. Jones, “Compressed sensing for bioelectric signals: A review,” IEEE Journal of Biomedical and Health Informatics, vol. 19, no. 2, pp. 529–540, March 2015.
  42. J. Chiang and R. K. Ward, “Energy-efficient data reduction techniques for wireless seizure detection systems,” Sensors, 14(2), pp. 2036–2051, 2014.
  43. D. Rav, C. Wong, F. Deligianni, M. Berthelot, J. Andreu-Perez, B. Lo, and G. Z. Yang, “Deep learning for health informatics,” IEEE Journal of Biomedical and Health Informatics, vol. 21, no. 1, pp. 4–21, Jan 2017.
  44. T. Strohmer, “Measure what should be measured: Progress and challenges in compressive sensing,” IEEE Signal Processing Letters, vol. 19, no. 12, pp. 887–893, 2012.
  45. S. Acciarito, G. Cardarilli, L. D. Nunzio, R. Fazzolari, G. Khanal, and M. Re, “Compressive sensing reconstruction for complex system: A hardware/software approach,” Applications in Electronics Pervading Industry, Environment and Society, Springer, Cham, vol. 429, pp. 192–200, 2016.
  46. B. L. Sturm and M. G. Christensen, “Comparison of orthogonal matching pursuit implementations,” Proceedings of the 20th European Signal Processing Conference (EUSIPCO), pp. 220–224, Aug 2012.
  47. C. Hegde, A. C. Sankaranarayanan, W. Yin, and R. G. Baraniuk, “Numax: A convex approach for learning near- isometric linear embeddings,” IEEE Transactions on Signal Processing, vol. 63, no. 22, pp. 6109–6121, Nov 2015.
  48. Y. Wang, X. Li, K. Xu, F. Ren, and H. Yu, “Data- driven sampling matrix boolean optimization for energy- efficient biomedical signal acquisition by compressive sensing,” IEEE Transactions on Biomedical Circuits and Systems, vol. 11, no. 2, pp. 255–266, April 2017.
  49. M. Hooshmand, D. Zordan, D. D. Testa, E. Grisan, and M. Rossi, “Boosting the battery life of wearables for health monitoring through the compression of biosignals,” IEEE Internet of Things Journal, vol. 4, no. 5, pp. 1647–1662, Oct 2017.