Internet of Medical Things Architecture and Algorithms for Smart Health

Abstract

Global health which denotes equitable access to healthcare, particularly in remote-rural- newlinedeveloping regions, is characterized by unique challenges of aordability, accessibility,and availability for which one of the most promising technological interventions that is emerging is the Internet of Medical Things (IoMT) based remote patient health monitoring. In this thesis, we present an IoMT based smart edge system for remote health monitoring, in which wearable vital sensors transmit data into two novel software engines, namely Rapid Active Summarization for effective PROgnosis (RASPRO) summarization and Criticality Measure Index (CMI) alerts. We call this as the Amrita IoMT (AIM) architecture for remote patient monitoring. RASPRO transforms voluminous sensor data into clinically meaningful summaries called Personalized Health Motifs (PHMs). The CMI alerts engine computes an aggregate criticality score. We have also developed a risk-strati. newline