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Wearable Devices and COVID-19: State of the Art, Framework, and Challenges

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Emerging Technologies for Battling Covid-19

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 324))

Abstract

In the current century, the novel coronavirus has presented itself as a serious threat to the global human population. However, constructively, with the intervention of the latest computing technology such as the Internet of Things, distributed cloud computing, and artificial intelligence, the COVID-19 pandemic can be effectively handled. From this aspect, the main objectives of this chapter are to study and present various wearable devices as part of the healthcare system toward combating the COIVD-19 pandemic. First, this work aims to review the different wearable devices and their usage to combat COVID-19 by patients, healthcare professional, frontliners, and global citizens. Hence, the major objectives of these wearable devices include device tracking, information sharing, and awareness creation to minimize the risk of coronavirus infection. Second, the chapter addresses a generalized framework toward the implementation of wearable devices to handle the COVID-19 pandemic. Next, this chapter aims to review monitoring techniques and various mechanisms used to analyze the data gathered from wearable devices in order to extract useful and critical information pertaining to users in the COVID-19 scenario. This chapter involves reviewing efficient techniques and algorithms that exist in literature for data analysis based on vital body signals from the wearable sensor devices. This effort enhances the patient/healthcare staff monitoring mechanism and helps to uncover preventive solutions in the COVID-19 scenario. Particularly, the data processing and analysis mechanisms such as data denoising, data aggregation, data outlier detection, and missing data imputation are emphasized. Finally, the chapter addresses various challenges associated with wearable devices in the COVID-19 scenario such as real-time processing, heterogeneity, interoperability, security, and privacy.

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Authors and Affiliations

  1. Jaypee Institute of Information Technology, Noida, India

    Rajalakshmi Krishnamurthi & Dhanalekshmi Gopinathan

  2. University of Petroleum and Energy Studies, Dehradun, India

    Adarsh Kumar

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  1. Rajalakshmi Krishnamurthi
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Correspondence to Rajalakshmi Krishnamurthi .

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Editors and Affiliations

  1. Research Center for AI and IoT, Near East University, Nicosia, via Mersin 10, Turkey

    Fadi Al-Turjman

  2. Research Head, AP3 Solutions, Chennai, Tamil Nadu, India

    Ajantha Devi

  3. Graduate School, Faculty in Information Technology, Duy Tan University, Da Nang, Vietnam

    Anand Nayyar

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Krishnamurthi, R., Gopinathan, D., Kumar, A. (2021). Wearable Devices and COVID-19: State of the Art, Framework, and Challenges. In: Al-Turjman, F., Devi, A., Nayyar, A. (eds) Emerging Technologies for Battling Covid-19. Studies in Systems, Decision and Control, vol 324. Springer, Cham. https://doi.org/10.1007/978-3-030-60039-6_8

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