Adopting the Internet of Things Technology to Remotely Monitor COVID-19 Patients

Abstract

The coronavirus known as COVID-19 is the topic of the hour all over the world. This virus has invaded the world with its invariants, which are characterized by their rapid spread. COVID-19 has impacted the health of people and the economy of countries. For that, laboratories, researchers, and doctors are in a race against time to find a cure for this pandemic. To combat this virus, cutting-edge technologies such as artificial intelligence, cloud computing, and big data have been put in place. In our work, we use Internet of Things (IoT) technology. The use of IoT in an efficient way can lead to detecting infected people and avoiding being contaminated. In this paper, we are interested in the remote medical monitoring of patients who have tested positive for COVID-19. We propose a meta-modeling technique to model the IoT architecture. Then we implement two IoT solutions that permit the remote medical monitoring of patients infected with COVID-19 and the respect of social distancing by instantiating correct models that conform to the proposed meta-model in order to mitigate the COVID-19 outbreak.

DSMAC: Privacy-Aware Decentralized Self-Management of Data Access Control Based on Blockchain for Health Data

“…DSMAC brings a novel decentralized access control scheme based on blockchain and self-sovereign identity (SSI) mechanisms [42]. Our framework is composed of three layers, namely IoMT devices layer, F2C layer, and the user layer, as presented in Fig.…”

“…This layer is used to sense, collect, encrypt and upload the medical data to F2C computing [42], [43], including wireless sensors, smart bracelets, and digital wallet. The sensed data are sent to the digital wallet for aggregation and encryption purposes.…”