Internet of Things (IoT) Applications Using Smart Materials and Sensor Technologies to Prevent COVID-19

In order to effectively screen patients during the COVID-19 pandemic, novel strategies have been required on a global scale. Smart data and the Internet of Things (IoT) have proven to be important in this context. These technologies provide alternatives to traditional diagnostic tests, increase patient satisfaction, and decrease hospital readmissions. By integrating IoT sensor technologies with intelligent materials, they demonstrate analytical capabilities that facilitate the timely diagnosis of COVID-19 symptoms. This study evaluates the feasibility of IoT connectivity in all areas, photosensitive, and electrically sensitive devices for assisting COVID-19 patients effectively by integrating biosensors to monitor symptoms such as fever and respiratory difficulties. By incorporating COVID-19 diagnostics, intelligent materials, biosensors, and viral detection examples, the study demonstrates how IoT frameworks can be implemented in intelligent healthcare.

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Publication Details

Published
2024-11-13
DOI
https://doi.org/10.1109/ictacs62700.2024.10840620
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
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article

Internet of Things (IoT) Applications Using Smart Materials and Sensor Technologies to Prevent COVID-19

P. Anitha Christy Angelin, Prashant Agrawal, Samson Ebenezar Uthirapathy, J. C. Sekhar et al.
COVID-19 diagnosis using AI
article

Internet of Things (IoT) Applications Using Smart Materials and Sensor Technologies to Prevent COVID-19

P. Anitha Christy Angelin, Prashant Agrawal, Samson Ebenezar Uthirapathy, J. C. Sekhar, Rabindra Prasad, Trilok Suthar
article en

Abstract

In order to effectively screen patients during the COVID-19 pandemic, novel strategies have been required on a global scale. Smart data and the Internet of Things (IoT) have proven to be important in this context. These technologies provide alternatives to traditional diagnostic tests, increase patient satisfaction, and decrease hospital readmissions. By integrating IoT sensor technologies with intelligent materials, they demonstrate analytical capabilities that facilitate the timely diagnosis of COVID-19 symptoms. This study evaluates the feasibility of IoT connectivity in all areas, photosensitive, and electrically sensitive devices for assisting COVID-19 patients effectively by integrating biosensors to monitor symptoms such as fever and respiratory difficulties. By incorporating COVID-19 diagnostics, intelligent materials, biosensors, and viral detection examples, the study demonstrates how IoT frameworks can be implemented in intelligent healthcare.

Galgotias University (IN), Guntur Medical College (IN), CT Group Of Institutions (IN), Aditya Birla (India) (IN), Parul University (IN)
Openalex Percentile: Top 57%
COVID-19 diagnosis using AI
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