Wearable Devices and COVID-19: State of the Art, Framework, and Challenges
| Autor: | Dhanalekshmi Gopinathan, Adarsh Kumar, Rajalakshmi Krishnamurthi |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
education.field_of_study
Computer science business.industry Information sharing 010401 analytical chemistry Interoperability Population Wearable computer Cloud computing Crowdsourcing 01 natural sciences Data science 0104 chemical sciences Data aggregator 03 medical and health sciences 0302 clinical medicine 030212 general & internal medicine business education Wearable technology |
| Zdroj: | Studies in Systems, Decision and Control ISBN: 9783030600389 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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