Resource Aware Fog Based Remote Health Monitoring System
2022 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-1948802
ABSTRACT
In today's world of medical science, remote patient monitoring devices are becoming more important and a future need particularly in the present COVID-19 situation as individuals are preferred to be kept isolated. Patients would be benefited from a suitable monitoring system that measures their important medical parameters such as pulse rate, oxygen saturation or SpO2, body temperature, blood pressure, and Galvanized Skin Response (GSR). This system can increase the medical staff efficiency by drastically decreasing their duties in hospitals and the need to attend to them individually. Patients in their home isolation may utilize the device as well, and their vital indicators may be checked by doctors remotely. In this work, we are prototyping a powerefficient, wearable medical kit and a resource-aware fog network set up to handle the Internet of Things (IoT) data traffic. The idea behind the design is to process the critical medical sensors' data in the fog nodes which are deployed at the edge of the network. The data thus received, is used for a machine learning-based solution for personal health anomalies and COVID-19 infection risk analysis. © 2022 IEEE.
Cloud; Fog; Internet of Medical Things (IoMT); LOF; SVM; Blood pressure; COVID-19; Electrophysiology; Fog computing; Health risks; Internet of things; Patient monitoring; Risk analysis; Risk assessment; Health monitoring system; Internet of medical thing; Medical science; Monitoring device; Monitoring system; Pulse rate; Remote health monitoring; Resource aware
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2022 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2022
Year:
2022
Document Type:
Article
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