Wearable Technology to Assist the Patients Infected with Novel Coronavirus (COVID-19)
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Wearable Technology to Assist the Patients Infected with Novel Coronavirus (COVID‑19) Md. Milon Islam1 · Saifuddin Mahmud2 · L. J. Muhammad3 · Md. Rabiul Islam4 · Sheikh Nooruddin1 · Safial Islam Ayon5 Received: 4 September 2020 / Accepted: 17 September 2020 © Springer Nature Singapore Pte Ltd 2020
Abstract Wearable technology plays a significant role in our daily life as well as in the healthcare industry. The recent coronavirus pandemic has taken the world’s healthcare systems by surprise. Although trials of possible vaccines are underway, it would take a long time before the vaccines are permitted for public use. Most of the government efforts are currently geared towards preventing the spread of the coronavirus and predicting probable hot zones. The essential and healthcare workers are the most vulnerable towards coronavirus infections due to their required proximity to potential coronavirus patients. Wearable technology can potentially assist in these regards by providing real-time remote monitoring, symptoms prediction, contact tracing, etc. The goal of this paper is to discuss the different existing wearable monitoring devices (respiration rate, heart rate, temperature, and oxygen saturation) and respiratory support systems (ventilators, CPAP devices, and oxygen therapy) which are frequently used to assist the coronavirus affected people. The devices are described based on the services they provide, their working procedures as well as comparative analysis of their merits and demerits with cost. A comparative discussion with probable future trends is also drawn to select the best technology for COVID-19 infected patients. It is envisaged that wearable technology is only capable of providing initial treatment that can reduce the spread of this pandemic. Keywords Novel coronavirus · COVID-19 · Wearable technology · Symptoms monitoring · Respiratory support
Introduction
This article is part of the topical collection “Advances in Computational Approaches for Artificial Intelligence, Image Processing, IoT and Cloud Applications” guest edited by Bhanu Prakash K N and M. Shivakumar.
The whole world is going through a very critical and unprecedented situation since the recognition of the novel coronavirus SARS-CoV-2 (COVID-19) [1, 2]. After the initial official reports of pneumonia of unknown cause in December 2019, it has rapidly spread throughout the world. By observing the situation, the World Health Organization (WHO) declared a public 1
Saifuddin Mahmud [email protected]
Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna 9203, Bangladesh
2
L. J. Muhammad [email protected]
Department of Computer Science, Kent State University, Kent, Ohio, USA
3
Department of Mathematics and Computer Science, Faculty of Science, Federal University of Kashere, P.M.B. 0182, Gombe, Nigeria
4
Department of Electrical and Electronic Engineering, Bangladesh Army University of Engineering and Technology, Natore 6431, Bangladesh
5
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