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Abstract

This work deals with healthcare systems where healthcare professionals’ and patients’ comfort, providing relevant decision in real time and scrupulously respecting barrier gestures in pandemics times are among the important issues. Recently, Internet of Things technology has been rapidly employed by several applications impacting our daily life activities. Special attentions were devoted to healthcare systems, resulting in a sub branch of IoT, named Internet of Medical Things (IoMT). This work intends to propose an IoMT based Smart Healthcare system. The contribution is twofold: Initially, we develop a medical device and a Mobile Application that facilitate diagnosis and reduce proxemics between patient and healthcare professionals. The medical device acquires vital medical information that can be useful for several pathologies’ diagnosis. The mobile application offers ability to identify patient, extract his medical e-form and assist diagnosis process. Secondly, we propose a general approach for consultation, that reduces interactions specially in pandemic times and decreases resource and time consummation. The approach is based on Multi-agent System paradigm, Face recognition and IoT technology. The proposal is exemplified by testbed case study on pulmonary embolism diagnosis.

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References

  1. Abdulrazak, B., Codjo, J.A., Paul, S.: Self-healing approach for IoT architecture: AMI platform. Participative Urban Health and Healthy Aging in the Age of AI: 19th International Conference, ICOST 2022, Paris, France, June 27–30, 2022, Proceedings (2022)

    Google Scholar 

  2. Laghari, A.A., Wu, K., Laghari, R.A., et al.: A review and state of Art of internet of things (IoT). Arch Computat Methods Eng. 29, 1395–1413 (2022). https://doi.org/10.1007/s11831-021-09622-6

    Article  Google Scholar 

  3. Atitallah, S.B., Driss, M., Boulila, W., Ghézala, H.B.: Leveraging deep learning and IoT big data analytics to support the smart cities development: review and future directions. Computer Science Rev. 38, 100303 (2020). ISSN 1574-0137. https://doi.org/10.1016/j.cosrev.2020.100303

  4. Kiran, S., Neelakandan, S., Reddy, A.P., Goyal, S., Maram, B., Rao, V.C.S.: Chapter 11 - Internet of things and Wearables-Enabled Alzheimer Detection and Classification Model Using Stacked Sparse Autoencoder, Editor(s): Hemanth

    Google Scholar 

  5. Jude, D., Gupta, D., Khanna, A., Khamparia, A.: Wearable Telemedicine Technology for the Healthcare Industry, Academic Press, pp. 153–168 (2022), ISBN 9780323858540. https://doi.org/10.1016/B978-0-323-85854-0.00012-5

  6. Wagan, S.A., Koo, J., Siddiqui, I.F., Attique, M., Shin, D.R., Qureshi, N.M.F.: Internet of medical things and trending converged technologies: a comprehensive review on real-time applications. J. King Saud University - Computer and Inf. Sci. ISSN 1319–1578 (2022). https://doi.org/10.1016/j.jksuci.2022.09.005

  7. Hemmati, A., Rahmani, A.M.: The internet of autonomous things applications: a taxonomy, technologies, and future directions. Internet of Things, 20, 100635 (2022). ISSN 2542-6605, https://doi.org/10.1016/j.iot.2022.100635.

  8. Wang, I., Mu, Z.: Risk monitoring model of intelligent agriculture Internet of Things based on big data. Sustainable Energy Technologies and Assessments, 53(Part C), 102654 (2022). ISSN 2213-1388, https://doi.org/10.1016/j.seta.2022.102654.

  9. Shreya, S., Chatterjee, K., Singh, A.: A smart secure healthcare monitoring system with Internet of Medical Things. Computers and Electrical Engineering, 101, 107969 (2022). ISSN 0045-7906, https://doi.org/10.1016/j.compeleceng.2022.107969.

  10. Kakhi, K., Alizadehsani, R., Kabir, H.M.D., Khosravi, A., Nahavandi, S., Acharya, U.R.: The internet of medical things and artificial intelligence: trends, challenges, and opportunities, Biocybernetics and Biomedical Eng. 42(3), 749-771 (2022). ISSN 0208-5216, https://doi.org/10.1016/j.bbe.2022.05.008.

  11. Khan, I.A., et al.: XSRU-IoMT: explainable simple recurrent units for threat detection in Internet of Medical Things networks. Future Generation Computer Syst. 127, 181–193 (2022). ISSN 0167–739X, https://doi.org/10.1016/j.future.2021.09.010

  12. Su, X., An, L., Cheng, Z., Weng, Y.: Cloud–edge collaboration-based bi-level optimal scheduling for intelligent healthcare systems. Future Generation Computer Syst. 141, 28–39 (2023). ISSN 0167–739X, https://doi.org/10.1016/j.future.2022.11.005

  13. Dao, N.-N.: Internet of wearable things: advancements and benefits from 6G technologies. Future Generation Computer Syst. 138, 172–184 (2023). ISSN 0167–739X, https://doi.org/10.1016/j.future.2022.07.006

  14. Kumar, P., Kumar, R., Gupta, G.P., Tripathi, R., Jolfaei, A., Islam, A.K.M.N.: A blockchain-orchestrated deep learning approach for secure data transmission in IoT-enabled healthcare system. J. Parallel and Distributed Comput. 172, 69–83 (2023). ISSN 0743–7315, https://doi.org/10.1016/j.jpdc.2022.10.002

  15. Hu, H., Xu, J., Liu, M., Lim, M.K.: Vaccine supply chain management: an intelligent system utilizing blockchain, IoT and machine learning. Journal of Business Res. 156, 113480 (2023). ISSN 0148-2963. https://doi.org/10.1016/j.jbusres.2022.113480

  16. Kaur, S., Hasija, Y.: Role of computational intelligence against COVID-19. In: Raza, K. (eds) Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis. Studies in Computational Intelligence, 923. Springer, Singapore (2021). https://doi.org/10.1007/978-981-15-8534-0_2

  17. Sofia, K., Ilham, K. : Multi-layer agent-based architecture for internet of things systems. J. Information Technol. Research (JITR) 11(4), 32–52 (2018)

    Google Scholar 

  18. Kouah, S., Saïdouni, D.E., Ilié, J.M.: Synchronized petri net: a formal specification model for multi agent systems. JSW 8(3), 587–602 (2013). https://doi.org/10.4304/jsw.8.3.587-602

    Article  Google Scholar 

  19. Kouah, S., Saidouni, D.E.: Fuzzy labeled transition refinement tree: application to stepwise designing multi agent systems. In: Fuzzy Systems: Concepts, Methodologies, Tools, and Applications, pp. 873–905 ((2017)). IGI Global, Hershey, PA

    Google Scholar 

  20. Kouah, S., Kitouni, I., Saidouni, D.E.: Towards agent oriented methodology: a fuzzy based formal refinement approach for multi-agent. In: Proceedings of the International Conference on Engineering & MIS 2015, p. 50 (2015). ACM. https://doi.org/10.1145/2832987.2833060

  21. Kouah, S., Saïdouni, D.E., Kitouni, I. : Open fuzzy synchronized petri net: Formal specification model for multi-agent systems. International J. Intelligent Information Technologies (IJIIT) 12(1), 63–94 (2016)

    Google Scholar 

  22. Sheppard, J.P., et al.: Association between blood pressure control and coronavirus disease 2019 outcomes in 45 418 symptomatic patients with hypertension: an observational cohort study. International journal of hyertension. https://www.ahajournals.org/doi/suppl/https://doi.org/10.1161/HYPERTENSIONAHA.120.16472

  23. Rolfe, S.: The importance of respiratory rate monitoring. British Journal of Nursing 28(8). https://doi.org/10.12968/bjon.2019.28.8.504

  24. Sheppard, J.P., et al.: Association between blood pressure control and coronavirus disease 2019 outcomes in 45 418 symptomatic patients with hypertension: an observational cohort study. Hypertension 77(3), 846–855 (2021)

    Article  Google Scholar 

  25. Seshadri, D.R., et al.: Wearable sensors for COVID-19: a call to action to harness our digital infrastructure for remote patient monitoring and virtual assessments. Journal Frontiers in Digital Health (2020). https://doi.org/10.3389/fdgth.2020.00008

  26. Ashfaq, A., et al.: A review of enabling technologies for Internet of Medical Things (IoMT) Ecosystem. Ain Shams Engineering J. 13(4), 101660 (2022). ISSN 2090–4479

    Google Scholar 

  27. Aloulou, H., Abdulrazak, B., De Marassé-Enouf, A., et al. : Participative urban health and healthy aging in the age of AI: 19th International Conference, ICOST 2022, Paris, France, June 27–30, 2022, Proceedings (2022)

    Google Scholar 

  28. Ruman, M.R., Barua, A., Rahman, W., Jahan, K.R., Jamil Roni, M., Rahman, M.F.: IoT based emergency health monitoring system. In: 2020 International Conference on Industry 4.0 Technology (I4Tech), pp. 159–162 (2020)

    Google Scholar 

  29. Kakria, P., Tripathi, N., Kitipawong, P.: A real-time health monitoring system for remote cardiac patients using smartphone and wearable sensors. Int. J. Telemed Appl. (2015), pp. 1-11 (2015)

    Google Scholar 

  30. Athira, A., Devika, T.D., Varsha, K.R., Bose, S.S.: Design and development of IOT based multi-parameter patient monitoring system. In: 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), pp. 862–866 (2020)

    Google Scholar 

  31. Tripathi, V., Shakeel, F.: Monitoring health care system using internet of things - an immaculate pairing. In: 2017 International Conference on Next Generation Computing and Information Systems (ICNGCIS), pp. 153–158 (2017)

    Google Scholar 

  32. Pessinaba, S., et al.:L’embolie pulmonaire au centre hospitalier universitaire Campus de Lomé (Togo): étude rétrospective à propos de 51 cas. Pan Afr Med J. 27, 129 (2017). Published online 2017 juin 18. French. https://doi.org/10.11604/pamj.2017.27.129.6855

  33. Ricordel, P.M., Demazeau, Y.: Volcano, a vowels-oriented multi-agent platform. In: From Theory to Practice in Multi-Agent Systems: Second International Workshop of Central and Eastern Europe on Multi-Agent Systems, CEEMAS 2001 Cracow, Poland, September 26–29, 2001 Revised Papers 2, pp. 253-262. Springer Berlin Heidelberg (2002)

    Google Scholar 

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Correspondence to Sofia Kouah .

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Kouah, S., Ababsa, A., Kitouni, I. (2023). Internet of Things Based Smart Healthcare System. In: Kabassi, K., Mylonas, P., Caro, J. (eds) Novel & Intelligent Digital Systems: Proceedings of the 3rd International Conference (NiDS 2023). NiDS 2023. Lecture Notes in Networks and Systems, vol 783. Springer, Cham. https://doi.org/10.1007/978-3-031-44097-7_29

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