Contribution to a Smart Home Design for Medical Surveillance

Patients or elderly individuals’ surveillance is no more restricted to hospitals thanks to the advanced development of new technologies, where we have the capability to supervise their conditions remotely throughout medical surveillance systems that are based on the Internet of Things (IoT), multiagent systems (MAS) and artificial intelligence (AI). These computing paradigms can be brought together to establish an intelligent system that would focus on patient comfort and ultimately reduce costs, speed up controlling operations and finally enhance the diagnosis accuracy and precision. Hence, a smart home conception following specific architectures and using the appropriate technologies of medical surveillance would form an essential aspect for the smart healthcare paradigm. Accordingly, an optimal design and architecture for an intelligent home and an effective intelligent healthcare would consider a resilient balance of IoT, MAS and an adequate machine-learning model for human behavior analysis. In this paper, a new smart home design for medical surveillance is proposed in order to contribute to the expansion of the number of smart healthcare users and providers on a winner-winner relationship that promotes individuals comfort and prosperity and drives-up the Information Technology contributions and business.