A Generic Blockchain-Based Remote Clinical Monitoring Framework Through Wearable Devices to Mitigate the COVID-19 Pandemic
5th International Conference on Smart Computing and Informatics, SCI 2021
; 283:429-438, 2022.
Article
in English
| Scopus | ID: covidwho-1899060
ABSTRACT
At present, the novel coronavirus is posing a bigger threat to the whole human race. However, adopting emerging technologies like the Internet of Things, artificial intelligence, blockchain technology, and machine learning helps in a greater deal to handle the pandemic effectively. The virus has cost many human lives, and one primary reason could be neglecting the symptoms. The earlier identification of the disease will help in providing immediate medical support. Wearable devices are effective in identifying the coronavirus disease, i.e., COVID-19 cases than the traditional methods. They help in improved tracking and management of the disease. This paper intends to present a framework where the wearable devices associated with the Internet of Things (IoT) collect information from individuals and store it either in a cloud server or to a local fog computing node. Furthermore, the implementation of a decentralized storage system to collect, analyze, and preserve the gathered data among the healthcare professionals is also included in the system. The system takes advantage of blockchain systems to automate smart contracts. The goal of this research is to see how wearable gadgets might help combat COVID-19’s effects by providing efficient methods for identification, monitoring, and collaboration in remote patient monitoring. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Blockchain technology; COVID-19; Data management; Edge computing; Fog; Wearable devices; Artificial intelligence; Digital storage; Fog computing; Information management; Internet of things; Viruses; Wearable technology; Block-chain; Clinical monitoring; Coronaviruses; Emerging technologies; Human races; Monitoring frameworks; Blockchain
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Prognostic study
Language:
English
Journal:
5th International Conference on Smart Computing and Informatics, SCI 2021
Year:
2022
Document Type:
Article
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