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Publication Type : Journal Article
Thematic Areas : Medical Sciences, Wireless Network and Application
Publisher : IEEE Internet of Things Journal, Institute of Electrical and Electronics Engineers Inc.
Source : IEEE Internet of Things Journal, Institute of Electrical and Electronics Engineers Inc., Volume 6, Issue 2, p.2449-2462 (2018)
Keywords : Biomedical monitoring, Clinical validations, Criticality (nuclear fission), Developing regions, Diagnosis, Electrocardiography, Engines, Internet of thing (IOT), Internet of things, Logic gates, Medical services, Monitoring, Performance evaluations, Personalized healths, Remote control, remote health monitoring, Remote patient monitoring, Sensors, Wearable sensors
Campus : Amritapuri
School : School of Medicine
Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)
Department : Wireless Networks and Applications (AWNA)
Year : 2018
Abstract : Global health which denotes equitable access to healthcare, particularly in remote-rural-developing regions, is characterized by unique challenges of affordability, accessibility, and availability for which one of the most promising technological interventions that is emerging is the Internet of Things (IoT) based remote health monitoring. We present an IoT 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) and Criticality Measure Index (CMI) alerts, both of which we have implemented in the IoT smart edge. RASPRO transforms voluminous sensor data into clinically meaningful summaries called Personalized Health Motifs (PHMs). The CMI alerts engine computes an aggregate criticality score. Our IoT smart edge employs a risk-stratified protocol consisting of rapid guaranteed push of alerts amp; PHMs directly to the physicians, and best effort pull of detailed data-on-demand (DD-on-D) through the cloud. We have carried out both clinical validation and performance evaluation of our smart edge system. The clinical validation on 183 patients demonstrated that the IoT smart edge is highly effective in remote monitoring, advance warning and detection of cardiac conditions, as quantified by three measures, precision (0.87), recall (0.83), and F1-score (0.85). Furthermore, performance evaluation showed significant reductions in the bandwidth (98%) and energy (90%), thereby making it suitable for emerging narrow-band IoT networks. In the deployment of our system in the cardiology institute of our University hospital, we observed that our IoT smart edge helped to increase the availability of physicians by 59%. Hence, our IoT smart edge system is a significant step towards addressing the requirements for global health.
Cite this Research Publication : Rahul K Pathinarupothi, Durga P, and Ekanath Srihari Rangan, “IoT Based Smart Edge for Global Health: Remote Monitoring with Severity Detection and Alerts Transmission”, IEEE Internet of Things Journal, vol. 6, no. 2, pp. 2449-2462, 2018.