Integration of IoT And WBAN for Remote Health Monitoring

This paper aims at improving remote health monitoring systems that involves
Wireless Body Area Networks (WBANs). The limitations of WBANs are analysed
and an integration with Internet of Things (IoT) is proposed. The WBAN limitations
that IoT could potentially resolve are mainly in the aspect of communication
capabilities, computation and memory. A comprehensive integration framework
between the two (2) systems is established. The Galvanic Skin Response (GSR) signal
is the physiological data sample extracted from the WBAN to test all aspects of the
integration framework – Data Extraction, Data Analysis and Cloud computing. The
platinum Shimmer Kit is adopted for the WBAN subsystem and IoT is implemented
via a Raspberry Pi 3. A successful integration of both systems will result in patients
reducing their dependency on doctors and hospitals for routine medical check-ups
since the patients required physiological date can be accessed and monitored remotely.