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