COVID-19, sensors, and internet of medical things (IoMT)

dc.contributor.author Udgata, Siba Kumar
dc.contributor.author Suryadevara, Nagender Kumar
dc.date.accessioned 2022-03-27T05:57:26Z
dc.date.available 2022-03-27T05:57:26Z
dc.date.issued 2021-01-01
dc.description.abstract Industry 4.0 is preparing to confront the difficulties arising due to the COVID-19 pandemic. These advances can provide automated and computer-assisted services for our day-to-day lives during this emergency. Different advantages of Industry 4.0 that can be conceived for alleviating impacts of COVID-19 pandemic are (i) manufacturing of prudent things identified with this infection,(ii) providing clinical assistance on time, utilizing the graceful chain, (iii) automating the clinical assistance and treatment to the infected patient to lessen the burden of specialists, (iv) learning from the experience and generate better machine learning models, (v) providing a few developments with the assistance of advance assembling and computerized innovations, and (vi) developing better hazard appraisal and worldwide general wellbeing crisis of this infection. This chapter provides details about the sensing systems used for healthcare in the view of COVID-19 crises.
dc.identifier.citation SpringerBriefs in Applied Sciences and Technology
dc.identifier.issn 2191530X
dc.identifier.uri 10.1007/978-981-15-7654-6_3
dc.identifier.uri https://link.springer.com/10.1007/978-981-15-7654-6_3
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/8918
dc.subject COVID-19
dc.subject Crowdsensing-based disease tracking
dc.subject Internet of Medical Things (IoMT)
dc.subject Sensing systems
dc.title COVID-19, sensors, and internet of medical things (IoMT)
dc.type Book Series. Book Chapter
dspace.entity.type
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