A Secured Real-Time IoMT Application for Monitoring Isolated COVID-19 Patients using Edge Computing

• Main Authors: Balasubramanian, Venki, Sulthana, Rehena, Stranieri, Andrew, Manoharan, G, Arora, Teena, Srinivasan, Ram, Mahalakshmi, K, Menon, Varun G
• Format: Conference Proceeding
• Language: English
• Subjects: Cloud computing; COVID-19; Dependability; Edge Computing; Health care Applications; IoMT; Patient monitoring; QoS; Real-time systems; Remote Patient Monitoring; Security; Teamwork; Training
• ISSN: 2324-9013
• DOI: 10.1109/TrustCom53373.2021.00167

Internet of Medical Things (IoMT) is an emerging technology whose capabilities to self-organize itself on-the-fly, to monitor the patient's vital health data without any manual entry and assist early human intervention gave birth to smart healthcare applications. The smart applications can be used to remotely monitor isolated patients during this COVID-19 pandemic. Remote patient monitoring provides an opportunity for COVID-19 patients to have vital signs and other indicators recorded regularly and inexpensively to provide rapid and early warning of conditions that require medical attention using secured edge and cloud computing. However, to gain the confidence of the users over these applications, the performance of healthcare applications should be evaluated in real-time. Our real-time implementation of IoMT based remote monitoring application using edge and cloud computing, along with empirical evaluation, show that COVID-19 patients can be monitored effectively not only with mobility but also helps the health care professionals to generate consolidated health data of the patient that can guide them to obtain medical attention.