Fog Assisted-IoT Enabled Patient Health Monitoring in Smart Homes

By Prabal Singh Verma, Sandeep Kumar Sood. IEEE Internet of Things Journal, 2018

371 citations recorded by the source corpus.

Internet of Things (IoT) technology provides a competent and structured approach to handle service deliverance aspects of healthcare in terms of mobile health and remote patient monitoring. IoT generates an unprecedented amount of data that can be processed using cloud computing. But for real-time remote health monitoring applications, the delay caused by transferring data to the cloud and back to the application is unacceptable. Relative to this context, we proposed the remote patient health monitoring in smart homes by using the concept of fog computing at the smart gateway. The proposed model uses advanced techniques and services, such as embedded data mining, distributed storage, and notification services at the edge of the network. Event triggering-based data transmission methodology is adopted to process the patient’s real-time data at fog layer. Temporal mining concept is used to analyze the events adversity by calculating the temporal health index of the patient. In order to determine the validity of the system, health data of 67 patients in IoT-based smart home environment was systematically generated for 30 days. Results depict that the proposed Bayesian belief network classifier-based model has high accuracy and response time in determining the state of an event when compared with other classification algorithms. Moreover, decision making based on real-time healthcare data further enhances the utility of the proposed system.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/0260871e9a3cb99f5f437a3693d9fd90649c7a96

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Citations in the corpus

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective (2019, background): “A fog assisted IoT system has been considered as a health monitoring system in smart homes [438].”
A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects (2021, background): “Integrating MAR for remote monitoring of smart homes [177] has a great potential to make the application more user friendly and sophisticated.”
Edge-computing-driven Internet of Things: A Survey (2022, background): “In [176], a remote patient health monitoring scheme was proposed in smart homes via the concept of edge computing at the gateways.”
FedHome: Cloud-Edge Based Personalized Federated Learning for In-Home Health Monitoring (2020, background): “Thus, IoT-based in-home health monitoring is envisioned as a promising paradigm and has attracted great attention [2], [3].”
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, methodology): “ presented some solutions, reference architecture, and testbed relying on Information Centric Networking (ICN) with Cloud/Fog resources. Using the concept of fog computing at the edge of the network, [197] proposed a framework for monitoring the patient health in smart homes. By embedding data minin”
AoI-Minimal Trajectory Planning and Data Collection in UAV-Assisted Wireless Powered IoT Networks (2020, background): “A. Background W ITH the development of the Internet of Things (IoT), various real-time status information updating applications, such as intelligent transportation [1], environmental monitoring [2], and safety protection and health monitoring [3], are spawned.”