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An IoT Prototype for Monitoring Covid19 Patients Using Real Time Data from Wearable Sensor Through Android App
International Islamic University Chittagong, Sonaichhari, Bangladesh.
International Islamic University Chittagong, Sonaichhari, Bangladesh.
International Islamic University Chittagong, Chittagong, Bangladesh.
International Islamic University Chittagong, Sonaichhari, Bangladesh.
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2023 (English)In: Intelligent Computing & Optimization: Proceedings of the 5th International Conference on Intelligent Computing and Optimization 2022 (ICO2022) / [ed] Pandian Vasant; Gerhard-Wilhelm Weber; José Antonio Marmolejo-Saucedo; Elias Munapo; J. Joshua Thomas, Springer, 2023, 1, p. 330-340Chapter in book (Refereed)
Abstract [en]

In the age of modern technology peoples are still facing a great challenges to manage and monitor the infected patients of COVID-19. Many systems have been implemented to track the location of infected person to reduce the spread of diseases. In today’s world IoT with the health care system plays an important role specially in this COVID situation. In this research an IoT based monitoring system is designed to monitor and measure different signs of COVID-19 using wearable device. It also sends notification to the proper authority by monitoring the activity of infected patient. To determine the condition of patient, sensor data are analyzed which is passed from edge node, as body sensor are connected to IoT cloud via edge node. Three layered architecture is implemented in our proposed design, wearable sensor layer, Peripheral Interface (API) layer and Android web layer. Different layer have different work, at first health symptom is determined by analyzing data from IoT sensor layer. In next layer information is stored in the cloud database to take immediate actions. Finally android application layer is used to send notifications and alerts for the infected patient. To predict the health condition and alarming the situation both API and mobile application communicate with each other. The designed system has simple structure and helps the authority to find the infected person.

Place, publisher, year, edition, pages
Springer, 2023, 1. p. 330-340
Series
Lecture Notes in Networks and Systems (LNNS), ISSN 2367-3370, E-ISSN 2367-3389 ; 569
Keywords [en]
Covid-19, Remote platform, IoT, Wearable sensor, Potential infected patient, Healthcare
National Category
Computer Sciences
Research subject
Pervasive Mobile Computing
Identifiers
URN: urn:nbn:se:ltu:diva-94193DOI: 10.1007/978-3-031-19958-5_31Scopus ID: 2-s2.0-85144537614OAI: oai:DiVA.org:ltu-94193DiVA, id: diva2:1712339
Note

ISBN för värdpublikation: 978-3-031-19958-5; 978-3-031-19957-8 

Available from: 2022-11-21 Created: 2022-11-21 Last updated: 2024-03-07Bibliographically approved

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Andersson, Karl

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