International Journal of Distributed and Cloud Computing

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Study of IoT-Based Digital Technology to Combat COVID-19 Pandemic


Affiliations
1 Assistant Professor, Maharaja Surajmal Institute, Janakpuri, New Delhi, India
2 Associate Professor, Uttaranchal University, Dehradun, Uttarakhand, India
3 Assistant Professor, Institute of Innovation in Technology and Management, Janakpuri, New Delhi, India
     

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The epidemic of coronavirus disease which is called COVID-19 is dispersing all over the world in a few months. The traditional health care systems face new challenges associated with the constant increase of infected persons with this disease. In the current time, the integration of smart medical sensors and devices of the Internet of Things (IoT) proposed the new health care domain which is called the Internet of Medical Things (IoMT). With this technology, accuracy, reliability, efficiency, and effectiveness are improved in the health domain. With the combination of cloud computing with IoT architecture, the smart healthcare system is designed which is ableto support real-time applications when Artificial Intelligence (AI) processing on a vast data which is collected by wearable sensors network. The emergence of IoMT has initiated the vital change in assisting the management of diseases, improving the diagnosis of disease, treatment methods and also reducing the cost and errors in healthcare. The implementations of this technology in the health domain not only improve the healthcare quality for patients but also help the healthcare workers. This paper studies the use of IoT solutions throughout this pandemic period in a health care system, starting from early health monitoring solutions from wearable sensors up to a final recovery from COVID-19. IoMT can play an imperative role during this pandemic time and facilitate to stop the spread of the virus, recognize the patient who has been infected with this virus and also help to control the coronavirus infection in real-time.

Keywords

COVID-19, Internet of Medical Things (IoMT), Internet of Things (IoT), Ontology.
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  • WHO, “WHO Coronavirus Disease (COVID-19) Dashboard | WHO Coronavirus Disease (COVID-19) Dashboard,” 2020. Accessed: Aug. 14, 2020.

  • WHO, “Coronavirus,” 2020. Accessed: Aug. 14, 2020.[Online]. Available: https://www.who.int/health-topics/ coronavirus#tab=tab_1

  • K. Wei, L. Zhang, Y. Guo, and X. Jiang, “Health monitoring based on internet of medical things: Architecture, enabling technologies, and applications,” IEEE Access, vol. 8, pp. 27468-27478, 2020. [Online]. Available: https://doi.org/10.1109/ACCESS.2020.2971654

  • J. P. A. Yaacoub, M. Noura, H. N. Noura, O. Salman, E. Yaacoub, R. Couturier, and A. Chehab, “Securing internet of medical things systems: Limitations, issues and recommendations,” Future Generation Computer Systems, vol. 105, pp. 581-606, 2020. [Online].Available: https://doi.org/10.1016/j.future.2019.12.028

  • F. Alsubaei, A. Abuhussein, V. Shandilya, and S.Shiva, “IoMT-SAF: Internet of medical things security assessment framework,” Internet of Things, vol. 8, 2019, Art. no. 100123. [Online]. Available: https://doi.org/10.1016/j.iot.2019.100123

  • M. Irfan, and N. Ahmad, “Internet of medical things: Architectural model, motivational factors and impediments,” 2018 15th Learning and Technology Conference (L and T 2018), 2018, pp. 6-13. [Online]. Available: https://doi.org/10.1109/LT.2018.8368495

  • M. Papaioannou, M. Karageorgou, G. Mantas, V. Sucasas, I. Essop, J. Rodriguez, and D. Lymberopoulos, “A survey on security threats and countermeasures in internet of medical things (IoMT),” Transactions on Emerging Telecommunications Technologies, pp. 1-15, 2020. [Online]. Available: https://doi.org/10.1002/ ett.4049

  • M. A. Khan, and F. Algarni, “A healthcare monitoring system for the diagnosis of heart disease in the IoMT cloud environment using MSSO-ANFIS,” IEEE Access, vol. 8, pp. 122259-122269, 2020. [Online]. Available: https://doi.org/10.1109/ACCESS.2020.3006424

  • E. Cook, “The importance of IoMT in healthcare 2020,” Digital Healthcare | Healthcare Global, Jul. 2020. [Online]. Available: https://www.healthcareglobal.com/ digital-healthcare/importance-iomt-healthcare-2020

  • J. Oyeniyi, I. Ogundoyin, O. Oyeniran, and L. Omotosho, “Application of internet of things (IoT) to enhance the fight against COVID-19 pandemic,” Jun. 2020.

  • R. P. Singh, M. Javaid, A. Haleem, and R. Suman, “Internet of things (IoT) applications to fight against COVID-19 pandemic,” Diabetes and Metabolic Syndrome: Clinical Research and Reviews, vol. 14, no.4, pp. 521-524, 2020. [Online]. Available: https://doi.org/10.1016/j.dsx.2020.04.041

  • M. Sikarndar, W. Anwar, A. Almogren, I. U. Din, and N.Guizani, “IoMT-based association rule mining for the prediction of human protein complexes,” IEEE Access, vol. 8, pp. 6226-6237, 2020. [Online]. Available: https:// doi.org/10.1109/ACCESS.2019.2963797

  • D. Koutras, G. Stergiopoulos, T. Dasaklis, P.Kotzanikolaou, D. Glynos, and C. Douligeris, “Security in IoMT communications: A survey,” Sensors (Switzerland), vol. 20, no. 17, pp. 1-49, 2020. [Online].Available: https://doi.org/10.3390/s20174828

  • I. V. Pustokhina, D. A. Pustokhin, D. Gupta, A. Khanna, and K. Shankar, “An effective training scheme for deep neural network in edge computing enabled internet of medical things (IoMT) systems,” IEEE Access, vol. 8, pp. 107112-107123, 2020.

  • C. Iwendi, S. Khan, J. H. Anajemba, A. L. I. K. Bashir, and F. Noor, “Realizing an efficient IoMT-assisted patient diet recommendation system through machine learning model,” IEEE Access, vol. 8, pp. 1-1, 2020. [Online]. Available: https://doi.org/10.1109/ ACCESS.2020.2968537

  • T. Yang, M. Gentile, C. F. Shen, and C. M. Cheng, “Combining point-of-care diagnostics and internet of medical things (IOMT) to combat the Covid-19 pandemic,” Diagnostics, vol. 10, no. 4, pp. 4-6, 2020. [Online].Available: https://doi.org/10.3390/diagnostics10040224

  • T. Han, L. Zhang, S. Pirbhulal, W. Wu, V. Hugo, and C. de Albuquerque, “A novel cluster head selection technique for edge-computing based IoMT systems,” Computer Networks, vol. 158, pp. 114-122, 2019. [Online]. Available: https://doi.org/10.1016/j.comnet.2019.04.021

  • G. J. Joyia, R. M. Liaqat, A. Farooq, and S. Rehman, “Internet of medical things (IOMT): Applications, benefits and future challenges in healthcare domain,” Journal of Communications, vol. 12, no. 4, pp. 240-247, 2017. [Online]. Available: https://doi.org/10.12720/ jcm.12.4.240-247

  • A. Hafizah, M. Aman, W. Haslina, and S. Sameen, “IoMT amid COVID-19 pandemic: Application, architecture, technology, and security,” Journal of Network and Computer Applications, vol. 174, 2021, Art. no.102886. [Online]. Available: https://doi.org/10.1016/j.jnca.2020.102886

  • A. Almogren, I. Mohiuddin, I. U. Din, H. Almajed, and N. Guizani, “FTM-IoMT: Fuzzy-based trust management for preventing sybil attacks in internet of medical things,” IEEE Internet of Things Journal, vol. 8, no. 6, pp. 4485-4497, 2021. [Online]. Available: https://doi.org/10.1109/JIOT.2020.3027440

  • S. Rukh, M. Sikandar, A. Almogren, and I. Ud, “IoMTbased computational approach for detecting brain tumor,” Future Generation Computer Systems, vol. 109, pp. 360-367, 2020. [Online]. Available: https://doi.org/10.1016/j.future.2020.03.054

  • M. Usman, M. A. Jan, X. He, and J. Chen, “P2DCA: A privacy-preserving-based data collection and analysis framework for IoMT applications,” IEEE Journal on Selected Areas in Communications, vol. 37, no. 6, pp. 1222-1230, 2019. [Online]. Available: https://doi.org/10.1109/JSAC.2019.2904349

  • L. Syed, S. Jabeen, S. Manimala, and A. Alsaeedi, “Smart healthcare framework for ambient assisted living using IoMT and big data analytics techniques,” Future Generation Computer Systems, vol. 101, pp. 136-151, 2019. [Online]. Available: https://doi.org/10.1016/j.future.2019.06.004

  • A. Alsiddiky, W. Awwad, K. Bakarman, H. Fouad, and N. M. Mahmoud, “Magnetic resonance imaging evaluation of vertebral tumor prediction using hierarchical hidden Markov random field model on internet of medical things (IOMT) platform,” Measurement: Journal of the International Measurement Confederation, vol. 159, 2020, Art. no. 107772. [Online]. Available: https://doi.org/10.1016/j.measurement.2020.107772

  • S. Liaqat, A. Akhunzada, F. S. Shaikh, A. Giannetsos, and M. A. Jan, “SDN orchestration to combat evolving cyber threats in internet of medical things (IoMT),” Computer Communications, vol. 160, pp. 697-705, 2020. [Online]. Available: https://doi.org/10.1016/j.comcom.2020.07.006

  • S. U. Khan, N. Islam, Z. Jan, I. U. Din, A. Khan, and Y. Faheem, “An e-health care services framework for the detection and classification of breast cancer in breast cytology images as an IoMT application,” Future Generation Computer Systems, vol. 98, pp. 286-296, 2019. [Online]. Available: https://doi.org/10.1016/j.future.2019.01.033

  • G. Hatzivasilis, O. Soultatos, S. Ioannidis, C.Verikoukis, G. Demetriou, and C. Tsatsoulis, “Review of security and privacy for the internet of medical things (IoMT): Resolving the protection concerns for the novel circular economy bioinformatics,” Proceedings - 15th Annual International Conference on Distributed Computing in Sensor Systems (DCOSS 2019), 2019, pp.457-464. [Online]. Available: https://doi.org/10.1109/ DCOSS.2019.00091

  • A. M. Joshi, P. Jain, S. P. Mohanty, and N. Agrawal, “iGLU 2.0: A new wearable for accurate non-invasive continuous serum glucose measurement in IoMT frame work,” IEEE Transactions on Consumer Electronics, vol. 66, no. 4, pp. 327-335, 2020. [Online]. Available: https://doi.org/10.1109/TCE.2020.3011966

  • A. M. Joshi, P. Jain, and S. P. Mohanty, “Securei GLU: A secure device for noninvasive glucose measurement and automatic insulin delivery in IoMT framework,” Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI, Jul. 2020, pp.440-445. [Online]. Available: https://doi.org/10.1109/ ISVLSI49217.2020.00-17

  • N. Garg, M. Wazid, A. K. Das, D. P. Singh, J. J. P.C. Rodrigues, and Y. Park, “BAKMP-IoMT: Design of blockchain enabled authenticated key management protocol for internet of medical things deployment,” IEEE Access, vol. 8, pp. 95956-95977, 2020. [Online]. Available: https://doi.org/10.1109/ ACCESS.2020.2995917

  • P. C. Santana-Mancilla, L. E. Anido-Rifón, J. ContrerasCastillo, and R. Buenrostro-Mariscal, “Heuristic evaluation of an IoMT system for remote health monitoring in senior care,” International Journal of Environmental Research and Public Health, vol. 17, no. 5, 2020.[Online]. Available: https://doi.org/10.3390/

  • C. Kotronis, I. Routis, E. Politi, M. Nikolaidou, G.Dimitrakopoulos, D. Anagnostopoulos, A. Amira, F. Bensaali, and H. Djelouat, “Evaluating internet of medical things (IoMT)-based systems from a human-centric perspective,” Internet of Things, vol. 8, 2019, Art. no.100125. [Online]. Available: https://doi.org/10.1016/j.iot.2019.100125

  • J. Indumathi, A. Shankar, M. R. Ghalib, J. Gitanjali, Q.Hua, Z. Wen, and X. Qi, “Block chain based internet of medical things for uninterrupted, ubiquitous, userfriendly, unflappable, unblemished, unlimited health care services (BC IoMT U6 HCS),” IEEE Access, vol. 8, pp. 1-1, 2020. [Online]. Available: https://doi.

  • org/10.1109/access.2020.3040240

  • A. A. Toor, M. Usman, F. Younas, A. C. M. Fong, S.A. Khan, and S. Fong, “Mining massive e-health data streams for IoMT enabled healthcare systems,” Sensors(Switzerland), vol. 20, no. 7, pp. 1-24, 2020. [Online].Available: https://doi.org/10.3390/s20072131

  • A. R. Neto, T. P. Silva, T. V. Batista, F. C. Delicato, P. F. Pires, and F. Lopes, “An architecture for distributed video stream processing in IoMT systems,” Open Journal of Internet of Things (OJIOT), vol. 6, no. 1, pp. 89-104, 2020.

  • P. Kumar, G. P. Gupta, and R. Tripathi, “An ensemble learning and fog-cloud architecture-driven cyberattack detection framework for IoMT networks, ”Computer Communications, vol. 166, pp. 110-124,

  • [Online]. Available: https://doi.org/10.1016/j. comcom.2020.12.003

  • I. L. Olokodana, S. P. Mohanty, E. Kougianos, and O. O. Olokodana, “Real-time automatic seizure detection using ordinary kriging method in an edge-IoMT computing paradigm,” SN Computer Science, vol. 1, no.5, 2020. [Online]. Available: https://doi.org/10.1007/s42979-020-00272-2

  • N. Bibi, M. Sikandar, I. U. Din, A. Almogren, and S. Ali,“IOMT-based automated detection and classification of leukemia using deep learning,” Journal of Healthcare Engineering, vol. 2020, 2020, Art. id. 6648574. [Online].Available: https://doi.org/10.1155/2020/6648574

  • L. Rachakonda, S. P. Mohanty, and E. Kougianos,“ILog: An intelligent device for automatic food intake

  • monitoring and stress detection in the IoMT,” IEEE Transactions on Consumer Electronics, vol. 66, no.2, pp. 115-124, 2020. [Online]. Available: https://doi.org/10.1109/TCE.2020.2976006

  • A. Alamri, “Ontology middleware for integration of IoT healthcare information systems in EHR systems,”Computers, vol. 7, no. 4, pp. 1-15, 2018. [Online].Available: https://doi.org/10.3390/computers7040051

  • R. Shaw, Y. Kim, and J. Hua, “Governance, technology and citizen behavior in pandemic: Lessons from COVID-19 in East Asia,” Progress in Disaster Science, vol. 6, 2020, Art. no. 100090. [Online]. Available:https://doi.org/10.1016/j.pdisas.2020.100090

  • S. Mishra, “The growing role of IoT in COVID-19 response,” May 2020. [Online]. Available: https://www.iotforall.com/the-growing-role-of-iot-in -covid-19-response/

  • R. Vaishya, M. Javaid, I. H. Khan, and A. Haleem,“Artificial Intelligence (AI) applications for COVID-19 pandemic,” Diabetes Metab. Syndr. Clin. Res. Rev.,vol. 14, no. 4, pp. 337-339, 2020, doi: 10.1016/j.dsx.2020.04.012.

  • R. Basatneh, B. Najafi, and D. G. Armstrong, “Health sensors, smart home devices, and the internet of medical things: An opportunity for dramatic improvement in care for the lower extremity complications of diabetes,”J. Diabetes Sci. Technol., vol. 12, no. 3, pp. 577-586,2018, doi: 10.1177/1932296818768618.

  • L. Greco, G. Percannella, P. Ritrovato, F. Tortorella, and M. Vento, “Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company’s public news and information,” Jan. 2020.


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  • Study of IoT-Based Digital Technology to Combat COVID-19 Pandemic

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Authors

Anamika Rana
Assistant Professor, Maharaja Surajmal Institute, Janakpuri, New Delhi, India
Monisha Awasthi
Associate Professor, Uttaranchal University, Dehradun, Uttarakhand, India
Sushma Malik
Assistant Professor, Institute of Innovation in Technology and Management, Janakpuri, New Delhi, India

Abstract


The epidemic of coronavirus disease which is called COVID-19 is dispersing all over the world in a few months. The traditional health care systems face new challenges associated with the constant increase of infected persons with this disease. In the current time, the integration of smart medical sensors and devices of the Internet of Things (IoT) proposed the new health care domain which is called the Internet of Medical Things (IoMT). With this technology, accuracy, reliability, efficiency, and effectiveness are improved in the health domain. With the combination of cloud computing with IoT architecture, the smart healthcare system is designed which is ableto support real-time applications when Artificial Intelligence (AI) processing on a vast data which is collected by wearable sensors network. The emergence of IoMT has initiated the vital change in assisting the management of diseases, improving the diagnosis of disease, treatment methods and also reducing the cost and errors in healthcare. The implementations of this technology in the health domain not only improve the healthcare quality for patients but also help the healthcare workers. This paper studies the use of IoT solutions throughout this pandemic period in a health care system, starting from early health monitoring solutions from wearable sensors up to a final recovery from COVID-19. IoMT can play an imperative role during this pandemic time and facilitate to stop the spread of the virus, recognize the patient who has been infected with this virus and also help to control the coronavirus infection in real-time.

Keywords


COVID-19, Internet of Medical Things (IoMT), Internet of Things (IoT), Ontology.

References