Internet of Medical Things-driven Remote Monitoring Systems, Big Healthcare Data Analytics, and Wireless Body Area Networks in COVID-19 Detection and Diagnosis

Abstract

The aim of this systematic review is to synthesize and analyze Internet of Medical Things-driven remote monitoring systems, big healthcare data analytics, and wireless body area networks in COVID-19 detection and diagnosis. Keywords: COVID-19;Internet of Medical Things;wireless body area network 1.Introduction The purpose of my systematic review is to examine the recently published literature on COVID-19 detection and diagnosis, and integrate the insights it configures on Internet of Medical Things-driven remote monitoring systems, big healthcare data analytics, and wireless body area networks. The manuscript is organized as following: theoretical overview (section 2), methodology (section 3), remote monitoring of patients in Internet of Medical Things (section 4), wireless body area networks and wearable Internet of Things-enabled smart devices (section 5), Internet of Medical Things-assistive technologies, data mining techniques, and decision support systems (section 6), discussion (section 7), synopsis of the main research outcomes (section 8), conclusions (section 9), limitations, implications, and further directions of research (section 10). 3.Methodology Throughout January 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including "COVID-19" + "Internet of Medical Things-driven remote monitoring systems," "big healthcare data analytics," and "wireless body area networks."