Development and Implementation of an Internet of Things (IOT) Based Remote Patient Monitoring System

Abstract

Web-based solutions that employs the use of Internet of Things (IoT), is continuously creating new application areas, including healthcare. This shows that, iHealth, real-time monitoring as well as remote patients monitoring, are expected to revolutionize the healthcare sector. IoT is nothing but communication between devices that contain embedded technology with existing internet infrastructure. This research work employs a smart data gathering method using a fuzzy logic assisted approach. The fuzzy scheme employed, helps make the system smart by helping the device make decisions on when and what data is to be sent depending on the inference made on various inputs from the physiological sensors. Performance analysis was carried out on the energy consumption pattern of the nodes which indicate that throughout the monitoring period of Ten (10) hours each day, for three days. The average energy consumed by the device when fuzzy assisted logic is used is 90.78 milli Watt (mW), while the average energy consumed when the conventional method is used is 128.5 mW. From the results, it was observed that power consumption is substantially reduced by about 37.72 mW (29.35%), when using the fuzzy assisted method as compared to when using the normal/conventional method.. It was equally observed that while using the fuzzy assisted logic, energy consumption only increased whenever there is an anomaly in the sensor reading.