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IoMT-based Android Application for Monitoring COVID-19 Patients Using Real-Time Data
International Islamic University Chittagong, Chittagong, Bangladesh.ORCID iD: 0000-0001-6319-8497
International Islamic University Chittagong, Chittagong, Bangladesh.ORCID iD: 0000-0002-2255-3752
International Islamic University Chittagong, Chittagong, Bangladesh.ORCID iD: 0000-0003-1603-3598
International Islamic University Chittagong, Chittagong, Bangladesh.ORCID iD: 0000-0002-8850-0039
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2023 (English)In: Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering - TCCE 2022 / [ed] M. Shamim Kaiser; Sajjad Waheed; Anirban Bandyopadhyay; Mufti Mahmud; Kanad Ray, Springer Science and Business Media Deutschland GmbH , 2023, Vol. 1, p. 145-157Conference paper, Published paper (Refereed)
Abstract [en]

Surviving three years of the pandemic since December 2019, monitoring COVID-19 patients in a projected way is still challenging. Even after testing negative for coronavirus, people face a lot of post-covid stresses and symptoms. Scarcity of hospital beds, shortage of medical equipment like oxygen, ventilation, etc. have made the situation worse as people failed to receive proper treatment. In this regard, this work proposes an IoMT-based wearable checking device for assessing COVID-19-identified imperative signals. Furthermore, by continuously monitoring data, the device promptly warns concerned clinical personnel about any breach of isolation for possibly contaminated patients. The data from the body-wearable sensor is processed and broken down by an edge node in the IoMT cloud to characterize the condition of health. A puttable IoMT sensor layer, a cloud layer with Application Peripheral Interface (API), and an Android-based cell prototype are part of the proposed system. Each layer has its own function; for example, the data from the IoMT sensor layer is used to characterize the wellness of the side effects. The Android portable application layer is in charge of informing and cautioning possibly infected patient family members, the nearest hospital, and the patient’s signed doctor about the potential contamination. Two APIs and a variety of applications are synchronized in the integrated system to predict and disrupt the situation. In a word, the target is to monitor this data and send it to the cloud through the IoMT gateway and monitor these parameters using the Android app. The doctor and the patient’s relative could also observe the monitor system through the app using the device id from this app. Because there are fewer available beds in hospitals, more people are dying as a result of inadequate care.

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2023. Vol. 1, p. 145-157
Series
Lecture Notes in Networks and Systems, ISSN 2367-3370, E-ISSN 2367-3389 ; 618
Keywords [en]
Cloud computing, COVID-19, IoMT, WSN
National Category
Information Systems
Research subject
Pervasive Mobile Computing
Identifiers
URN: urn:nbn:se:ltu:diva-99531DOI: 10.1007/978-981-19-9483-8_13Scopus ID: 2-s2.0-85163332967ISBN: 978-981-19-9482-1 (print)ISBN: 978-981-19-9483-8 (electronic)OAI: oai:DiVA.org:ltu-99531DiVA, id: diva2:1787238
Conference
4th International Conference on Trends in Computational and Cognitive Engineering, TCCE 2022, Tangail, Bangladesh, December 17-18, 2022
Available from: 2023-08-11 Created: 2023-08-11 Last updated: 2023-08-11Bibliographically approved

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Andersson, Karl

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Farshid, MohammadAziz, Atia BintiBasnin, NanzibaAkhter, MohoshenaAndersson, KarlHossain, Mohammad Shahadat
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