Smart Healthcare at Home in the Era of IoMT

Abstract

Smart Home improves the quality of our life in various aspects such as the convenience of managing our home, efficiency of energy consumption, and secure living environments. Taking advantage of the Internet of Medical Things (IoMT), smart homes in the context of healthcare have attracted a lot of attention to provide a more convenient, easier accessible, and personalized healthcare experience. Leveraging state-of-the-art techniques like Digital Twins (DT), machine learning (ML) algorithms, and human action recognition (HAR), Smart Healthcare at Home (SHAH) not only provides independent healthcare service options and social support but also gives seniors or other individuals who are in need a reliable way for real-time monitoring and safety preservation. This chapter will provide a comprehensive overview of the technical components of a SHAH paradigm, which is based on an architecture that integrates DT, IoMT, and artificial intelligence (AI) technology. The design rationales and key function blocks are illustrated in detail. In addition, taking seniors’ safety monitoring as a case study, a prototype of a SHAH system is experimentally investigated, and the performance and design tradeoffs are highlighted. Finally, this chapter also provides an overview of this exciting field’s existing challenges and opportunities.