Abstract
The COVID-19 pandemic, produced by the SARS-CoV-2 virus, has caused global public health emergency, with the rapid evolution and tragic consequences. The fight against this disease, whose epidemiological, clinical, and prognostic characteristics are still being studied in recent works which is forcing a change in the form of care, to include transforming some face-to-face consultations into non-face-to-face. Recently, various initiatives have emerged to incorporate the Internet of Things (IoT) in different sectors specially the health sector generally and in e-Health systems specifically. Millions of devices are connected and generating massive amounts of data. In this sense, based on the experience in the health sector in the management of the pandemic caused by COVID-19, it has been determined that monitoring potential patients of COVID-19 is still a great challenge for the latest technologies. In this paper, an IoT-based monitoring framework is proposed to help the health caregivers to obtain useful information during the current pandemic of COVID-19, thus bringing direct benefits of monitoring patient's health and speed of hospital care and cost reduction. An analysis of the proposed framework was carried out and a prototype system was developed and evaluated. Moreover, we evaluated the efficacy of the proposed framework to detect potentially serious cases of COVID-19 among patients treated in home isolation.
Highlights
The Internet of Things (IoT) is one of the technologies that have been widely disseminated in different application contexts [1]
IoT can be defined as a technology that consists of millions of devices that are connected to the Internet [2]
Thanks to the advantages provided by IoT, its use has been made possible in different sectors such as industry, tourism, health, and the environment, which has made possible the construction and formation of smart cities [3]
Summary
The Internet of Things (IoT) is one of the technologies that have been widely disseminated in different application contexts [1]. Since 2008, these have already surpassed the number of inhabitants on earth, and could reach 75 billion connected devices by 2025 [4] An example of this scenario is the smart lamps, which even when they are not emitting light must remain connected, waiting for a switch on, whether from a human user or from another computer system. Another example is wearable devices [5], which constantly monitor a person's physical activity, and can issue alerts if any of the indices fall outside the desirable range [6]. Just as it is uncommon to have a computer disconnected, it will soon be unusual to have an air conditioner or a coffee maker in this same situation
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