Internet of Medical Things (Iotm) Based Sustainable Architecture For Health Monitoring System

Internet of Medical Things (IoMT) based remote patient health monitoring is emerging as one of the most promising technological interventions that is emerging to address the unique problems of affordability, accessibility, and availability that plague global health, especially in rural-remote developing regions. This is one of the most promising technological interventions that is emerging to address the unique problems of affordability, accessibility, and availability that plague global health. Rapid Active Summarization for effective PROgnosis (RASPRO) summarization and Criticality Measure Index (CMI) warnings are both examples of specialised software that are presented in this research as part of an IoMT-based smart edge system for remote health monitoring. In this system, patients wear vital sensors that transmit data to two separate software engines. We demonstrate that RASPRO summary is superior to the widely used approach of symbolic representation known as Symbolic Aggregate approXimation by comparing and contrasting the two methods (SAX). In addition, the analysis of its performance found considerable reductions in bandwidth (99
^%
) and energy (92%) that make it perfect for future narrow-band Internet of Things networks.