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Wearable Tracking: An Effective Smartwatch Approach in Distributed Population Tracking During Pandemics

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The Science behind the COVID Pandemic and Healthcare Technology Solutions

Part of the book series: Springer Series on Bio- and Neurosystems ((SSBN,volume 15))

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Abstract

The recent trend among diverse groups and industries is towards adopting smart devices, comprising smart watches (wearable and miniature smart gadgets). These intelligent objects can serve as economical gadgets capable of regularly observing individuals and patients with various health-related ailments. This chapter highlights a generalised approach for designing and developing wearable internet of things (wIoT) with enabled health technology solutions. These solutions can act as predictive and real-time mechanisms to issue alarms and execute notifications, enhance context-aware location features, and promote contact tracing of the subject to respond with early management procedures. Big data generated, by these devices can also be used for semantic analysis, generating and examining predictive health analytic insights and developing artificial intelligence applications that utilise machine learning methodologies. We cover motivational factors for developing wIoT solutions, their relationship and the role of ambient intelligence and the internet of things to serve diverse healthcare scenarios, such as self-health and home-based care. We also discuss the methodology for wIoT solution applicability, reviewing some of their benefits during pandemics and the underlying challenges concerning security and privacy issues regarding robust design and the development and implementation of health technology systems that serve distributed populations during pandemics, including COVID-19.

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Notes

  1. 1.

    https://www.mayoclinic.org/diseases-conditions/heart-arrhythmia/symptoms-causes/syc-20350668.

  2. 2.

    https://www.mydr.com.au/asthma/bronchial-asthma-and-cardiac-asthma.

  3. 3.

    https://strokefoundation.org.au/en/About-Stroke/Prevent-Stroke.

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Authors and Affiliations

  1. Deakin University, Geelong, Australia

    Gurdeep Singh, Robin Doss & Sasan Adibi

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  1. Gurdeep Singh
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  2. Robin Doss
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  3. Sasan Adibi
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Correspondence to Gurdeep Singh .

Editor information

Editors and Affiliations

  1. School of Information Technology, Deakin University, Burwood, VIC, Australia

    Sasan Adibi

  2. Department of Infrastructure Engineering, University of Melbourne, Melbourne, VIC, Australia

    Abbas Rajabifard

  3. Institute for Physical Activity and Nutrition, Deakin University, Burwood, VIC, Australia

    Sheikh Mohammed Shariful Islam

  4. Princess Alexandra Hospital, Queensland Health, Brisbane, QLD, Australia

    Alireza Ahmadvand

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Singh, G., Doss, R., Adibi, S. (2022). Wearable Tracking: An Effective Smartwatch Approach in Distributed Population Tracking During Pandemics. In: Adibi, S., Rajabifard, A., Shariful Islam, S.M., Ahmadvand, A. (eds) The Science behind the COVID Pandemic and Healthcare Technology Solutions. Springer Series on Bio- and Neurosystems, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-031-10031-4_12

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  • DOI: https://doi.org/10.1007/978-3-031-10031-4_12

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  • Online ISBN: 978-3-031-10031-4

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