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Cloud Internet of Things in Medical and Smart Healthcare Applications

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IoT and WSN based Smart Cities: A Machine Learning Perspective

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

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Abstract

The Internet of Things (IoT) is an ecosystem that connects countless objects wirelessly and enables seamless connectivity to interact and exchange data and information. The rapid development of IoT technology has established connections between smart objects and sensors to achieve a higher quality of life, and for that, some standards are to be expected for cloud computing to integrate with healthcare sector. Thus, IoT application in the healthcare and medical sector has drawn tremendous amounts of interest from different communities. The implementations of IoT and cloud computing enhance health worker satisfaction and efficiency in healthcare operations. This study aims to study healthcare improvements and applications with the development of Internet of Things (IoT) and cloud computing. In this study, backgrounds with the taxonomy of IoT and cloud computing are discussed. Comparison of past research and legacy work was done to help with the understanding of the pros and cons of the propositions. A comprehensive analysis of different medical applications using IoT and cloud computing was conducted.

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References

  1. T. Ermakova, J. Huenges, K. Erek, R. Zarnekow, Cloud Computing in Healthcare– A Literature Review on Current State of Research, in Americas Conference on Information Systems, Chicago, 2013

    Google Scholar 

  2. S.M. Riazul Islam, D. Kwak, M.H. Kabir, M. Hossain, K. Kwak, The Internet of Things for health care: a comprehensive survey. IEEE Access 3, 678–708 (2015)

    Article  Google Scholar 

  3. H. Ahmadi, G. Arji, L. Shahmoradi, R. Safdari, M. Nilashi, M. Alizadeh, The application of internet of things in healthcare: a systematic literature review and classification. Univers. Access Infor. Soc. 18(4), 837–869 (2018)

    Article  Google Scholar 

  4. L.M. Dang, K. Min, D. Han, M.J. Piran, H. Moon, A survey on Internet of Things and cloud computing for healthcare. Electronics 8(7), 1–49 (2019)

    Article  Google Scholar 

  5. S. Nazir, Y. Ali, N. Ullah, I.G. Magariño, Internet of Things for healthcare using effects of mobile computing: a systematic literature review. Mobile Comp. Netw. 1, 1–20 (2019)

    Google Scholar 

  6. K. Geetha Poornima, K.P. Karani, Application of IoT in predictive health analysis-a review of literature. IJMTS 5(1), 185–214 (2020)

    Google Scholar 

  7. R.H. Thomas, M.I. Abdul Rahim, Gamification of medication adherence in epilepsy. Seizure Eur. J. Epilepsy 52, 11–14 (2017)

    Article  Google Scholar 

  8. S.S. Kazi, G. Bajantri, T. Thite, Remote heart rate monitoring system using IoT. IRJET 5(4), 2956–2963 (2018)

    Google Scholar 

  9. C. Li, X. Hu, L. Zhang, The IoT-based heart disease monitoring system for pervasive healthcare service, in International Conference on Knowledge Based and Intelligent Information and Engineering, Marseille, 2017.

    Google Scholar 

  10. F. Stradolini, N. Tamburrano, T. Modoux, A. Tuoheti, D. Demarchi, S. Carrara, IoT for Telemedicine Practices enabled by an Android™ Application with Cloud System Integration, in 2018 IEEE International Symposium on Circuits and Systems (ISCAS), Florence, 2018.

    Google Scholar 

  11. S. Khedkar, S. Deshpande, M. Choudhari, D. Charles, A smart pill box to re-mind of consumption using IoT. Int. J. Comp. Appl. 128(1), 38–40 (2018)

    Google Scholar 

  12. N.K. Panda, S. Bhardwaj, H. Bharadwaj, R. Singhvi, IOT based Advanced Medicine Dispenser Integrated with an Interactive Web Application, in International Conference on Advances in Mathematical Sciences, (Cambridge, UK, 2018), pp. 46–48

    Google Scholar 

  13. S.A. Hameed, A. Nirabi, M.H. Habaebi, A. Haddad, Application of mobile cloud computing in emergency health care. Bull. Electr. Eng. Infor. 8(3), 1088–1095 (2019)

    Article  Google Scholar 

  14. L. Hao, X. Xu, M.E. Dupre, A. Guo, X. Zhang, L. Qiu, Y. Zhao, D. Gu, Adequate access to healthcare and added life expectancy among older adults in China. BMC Geriatr 20, 1–15 (2020)

    Article  Google Scholar 

  15. X.J. Wang, M. Camilleri, A smart toilet for personalized health monitoring. Nat. Rev. Gastroenterol. Hepatol., 453–454 (2020)

    Google Scholar 

  16. J.Z. Ning Wang, Energy-efficient intelligent ECG monitoring for wearable device. IEEE Trans. Biomed. Circuits Syst. 13(5), 1112–1121 (2019)

    Article  Google Scholar 

  17. H. Ota, M. Chao, Y. Gao, E. Wu, L.-C. Tai, K. Chen, Y. Matsuoka, K. Iwai, H.M. Fahad, W. Gao, H.Y.Y. Nyein, L. Lin, A. Javey, 3D printed “Earable” smart devices for real-time detection of core body temperature. ACS Sens. 2(7), 990–997 (2017)

    Article  Google Scholar 

  18. Q. Xin, W. Jianping, A novel wearable device for continuous, non-invasion blood pressure measurement. Comput. Biol. Chem 69, 134–137 (2017)

    Article  Google Scholar 

  19. E.H.A.-H. Tabarek, G. Al-Jaf, Internet of Things Based Cloud Smart Monitoring for Asthma Patient, in 1st International Conference on Information Technology, p. 380, 2017

    Google Scholar 

  20. Z.E. Ahmed, M.K. Hasan, R.A. Saeed, R. Hassan, S. Islam, R.A. Mokhtar, S. Khan, M. Akhtaruzzaman, Optimizing energy consumption for cloud Internet of Things. Front. Phys. 8, 358 (2020). https://doi.org/10.3389/fphy

    Article  Google Scholar 

  21. R. Hassan, Q. Faizan, M.K. Hasan, A.H.M. Aman, A.S. Ahmed, Internet of Things and its applications: a comprehensive survey. Symmetry 12(10), 1674 (2020)

    Article  Google Scholar 

  22. M.K. Hasan, M.M. Ahmed, S.S. Musa, Measurement and Modeling of DTCR Software Parameters Based on Intranet Wide Area Measurement System for Smart Grid Applications, in International Conference on Innovative Computing and Communications, (Springer, Singapore, 2020), pp. 1139–1150

    Google Scholar 

  23. M.K. Hasan, A.F. Ismail, S. Islam, W. Hashim, M.M. Ahmed, I. Memon, A novel HGBBDSA-CTI approach for subcarrier allocation in heterogeneous network. Telecommun. Syst. 70(2), 245–262 (2019)

    Article  Google Scholar 

  24. S. Islam, A.H. Abdalla, M.K. Hasan, Novel multihoming-based flow mobility scheme for proxy NEMO environment: a numerical approach to analyse handoff performance. ScienceAsia 43, 27–34 (2017)

    Article  Google Scholar 

  25. I. Memon, R.A. Shaikh, M.K. Hasan, R. Hassan, A.U. Haq, K.A. Zainol, Protect mobile travelers information in sensitive region based on fuzzy logic in IoT technology. Secur. Commun. Netw. 2020, 1–12 (2020)

    Article  Google Scholar 

  26. T.M. Ghazal, M.K. Hasan, R. Hassan, S. Islam, S.N.H.S. Abdullah, M.A. Afifi, D. Kalra, Security vulnerabilities, attacks, threats and the proposed countermeasures for the Internet of Things applications. Solid State Technol. 63(1s), 2513–2525 (2020)

    Google Scholar 

  27. M.K. Hasan, M.M. Ahmed, S.S. Musa, S. Islam, S.N. Abdullah, E. Hossain, N.S. Nafi, N. Vo, An improved dynamic thermal current rating model for PMU-based wide area measurement framework for reliability analysis utilizing sensor cloud system. IEEE Access. 9, 14446–14458 (2021)

    Article  Google Scholar 

  28. M.K. Hasan, M. Shafiq, S. Islam, B. Pandey, Y.A. Baker El-Ebiary, N.S. Nafi, R. Ciro Rodriguez, D.E. Vargas, Lightweight cryptographic algorithms for guessing attack protection in complex Internet of Things applications. Complexity 5, 2021 (2021)

    Google Scholar 

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Acknowledgment

This work has supported by the Institute of Computer Science and Digital Innovation, UCSI, University of Malaysia.

Author information

Authors and Affiliations

  1. Department of Computer Science, UCSI University Malaysia, Kuala Lumpur, Malaysia

    Shayla Islam

  2. Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

    Mohammad Kamrul Hasan

  3. Department of Electrical and Computer Engineering, International Islamic University Malaysia, Kuala Lumpur, Malaysia

    Ahmad Fadzil Ismail

  4. Department of Computer Science, Bahria University, Karachi, Sindh, Pakistan

    Imran Memon

Authors
  1. Shayla Islam
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  2. Mohammad Kamrul Hasan
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  3. Ahmad Fadzil Ismail
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  4. Imran Memon
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Corresponding author

Correspondence to Mohammad Kamrul Hasan .

Editor information

Editors and Affiliations

  1. Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India

    Shalli Rani

  2. Intel Corporation, Folsom, CA, USA

    Vyasa Sai

  3. Department of ECE, KPR Institute of Engineering and Technology, Coimbatore, India

    R. Maheswar

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Islam, S., Hasan, M.K., Ismail, A.F., Memon, I. (2022). Cloud Internet of Things in Medical and Smart Healthcare Applications. In: Rani, S., Sai, V., Maheswar, R. (eds) IoT and WSN based Smart Cities: A Machine Learning Perspective. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-84182-9_6

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  • DOI: https://doi.org/10.1007/978-3-030-84182-9_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-84181-2

  • Online ISBN: 978-3-030-84182-9

  • eBook Packages: EngineeringEngineering (R0)

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