Abstract
The Novel Corona Virus Disease-2019 (COVID-19), which created this pandemic, makes us realize the importance of universal social and health care systems. The frontline workers worked restlessly during the pandemic and few of them also lost their lives. There is a need for a remote IoT health monitoring system that takes care of the health of infected patients, conducts regular health checks, and reduces contact between an infected person and health workers. This especially helps the patients with mild symptoms who are home quarantined. The IoT system monitors a person 24/7 and a report can be generated and sent to the doctor at the same time. However, such a procedure will produce a large amount of data. A major research challenge addressed in this paper is to effectively transfer health care data with the help of existing network infrastructure and transfer it to the cloud. In this paper, we have identified the key network and infrastructure requirements for a standard health monitoring system based on real-time event updates, bandwidth requirements, data collection, and data analysis. After that, we propose IRHMP- IoT-based remote healthcare device that delivers health care data efficiently to the cloud and the web portal. Finally, we have proposed a machine-learning algorithm to provide and predict future health risks with the help of recorded data.
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References
Rohokale, V.M., Prasad, N.R., Prasad, R.: A cooperative internet of things (IoT) for rural healthcare monitoring and control. In: Second International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronics Systems Technology (Wireless VITAE), pp. 1–6. IEEE (2011)
Doukas, C., Maglogiannis, I.: Bringing IoT and cloud computing towards pervasive healthcare. In: Sixth International Conference on Innovative Mobile and Internet Ser- vices in Ubiquitous Computing (IMIS) , pp. 922–926. IEEE (2012)
Amendola, S., Lodato, R., Manzari, S., Occhiuzzi, C., Marrocco, G.: RFID technology for IoT-based personal healthcare in smart spaces. IEEE Internet Things J. 1(2), 144–152 (2014)
Jin, J., Gubbi, J., Marusic, S., Palaniswami, M.: An information framework for creating a smart city through internet of things. IEEE Internet Things J. 1(2), 112–121 (2014)
Janosi, A., Steinbrunn, W., Pfisterer, M., Detrano, R.: Heart disease. UCI. Available: https://www.kaggle.com/ronitf/heart-disease-uci
Mansor, H., Meskam, S.S., Zamery, N.S., Mohd Rusle, N.Q.A.: Portable heart rate measurement for remote health monitoring system (IIUM) (2015)
Dias. D., Silva Cunha, J.P.: Wearable health devices—vital sign monitoring, systems and technologies. Biomedical Research and Innovation (BRAIN) (2018)
Asaduzzaman Miah, Md., Kabir, M.H., Siddiqur Rahman Tanveer, Md., Akhand, M.A.H.: Continuous Heart Rate and Body Temperature Monitoring System using Arduino UNO and Android Device (2015)
Parihar, V.R., Tonge, A.Y., Ganorkar, P.D.: Heartbeat and temperature monitoring system for remote patients using Arduino (2017)
Fielding, R., Gettys, J., Mogul, J., Frystyk, H., Masinter, L., Leach, P., Berners-Lee, T.: Hypertext transfer protocol (1999)
Stanford-Clark, A.N.A.: MQTT Version 3.1.1. OASIS Std., Oct 2014. [Online]. Available: http://docs.oasis-open.org/mqtt/mqtt/v3.1.1/mqtt-v3.1.1.html
Patierno, P.: IoT Protocols Landscape. (2014, June) [Online]. Available: http://www.slideshare.net/paolopat/io-t-protocols-landscape
Abdelwahab, S., Hamdaoui, B., Guizani, M., Rayes, A.: Enabling smart cloud services through remote sensing: an internet of everything enabler. Internet Things J. 1(3), 276–288 (2014)
Hui, J., Kelsey, R., Levis,P., Pister, K., Struik, R., Vasseur, J.P., Alexander, R.: RFC6550—RPL: routing protocol for low power and lossy networks. IETF Trust (2012)
Aazam, M., Huh, E.-N.: Fog computing and smart gateway based communication for cloud of things. In: 2014 International Conference on Future Internet of Things and Cloud (FiCloud), pp. 464–470 (2014)
Khanna, A., Misra, P.: White paper life sciences, the internet of things for medical devices—prospects, challenges and the way forward. Tata Consultancy Services, 1 July 2014
Shelby, Z.: Embedded web services. IEEE Wireless Commun. (2010)
Montenegro, G, Kushalnagar, N., Culler, D.: RFC4944—transmission of IPv6 packets over IEEE 802.15.4 networks. IETF Trust (2007)
Shelby, Z., Vial, M.: CoRE interfaces: draft-shelby-core-interfaces-3, IETF Trust (2013)
Shelby, Z., Hartke, K., Bormann, C.: The constrained application protocol (CoAP) (2014)
Stanford-Clark, A, Truong, H.L.: MQTT for Sensor Networks (MQTT-S) Protocol Specification Version 1.1. IBM Corporation, Armonk (2008)
Li, S.T., Hoebeke, J., Jara, A.J.: Conditional Observe in CoAP: draft-li-core-conditional- observe-03, IETF Trust (2012)
UN: World Population Ageing 2019. https://un.org/en/development/desa/population/publications/pdf/aegeing/WorldPopulationAgeing2019-Highlights.pdf
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Chakraborty, R., Balotra, A., Agrawal, S., Ige, T., Mishra, S. (2022). IRHMP: IoT-Based Remote Health Monitoring and Prescriber System. In: Mishra, D., Buyya, R., Mohapatra, P., Patnaik, S. (eds) Intelligent and Cloud Computing. Smart Innovation, Systems and Technologies, vol 286. Springer, Singapore. https://doi.org/10.1007/978-981-16-9873-6_9
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DOI: https://doi.org/10.1007/978-981-16-9873-6_9
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