UCLA

Internet of Things (IoT)-based remote health monitoring (RHM) generates a paradigm shift from traditional healthcare services. RHM applications deliver healthcare solutions to the national and global demand of improving the health and wellness of the population. Recent advancements in sensing, computing, and network communication technology enable pervasive, cost-effective, and sustainable health monitoring. This dissertation introduces several IoT-enabled RHM applications in monitoring vital signs, physical movements, cognitive impairment, and mental health. Each RHM system is described in terms of the design of intelligent sensors, implementation of processing units, data analysis of the collected data, and validation with experimental results. As the IoT market size grows, the massive adoption of IoT-based RHM applications has the potential to improve the health and wellness of the population.