T/CHIA 13-2018 Medical Health IoT Human Perception Information Fusion Model

Scope

Main technical content: IoT applications in the medical and health field inevitably involve the exchange and sharing of a large amount of medical and health data between sensing devices or external information systems. Information fusion is a method of achieving complete, accurate, timely, and effective integrated information processing. Due to the large number of sensing devices and hospital systems, regional platform systems, and manufacturers, as well as the complexity of the systems, the identities, locations, associated devices, and business identifiers of various system personnel are diverse. It is necessary to achieve the integration of IoT sensing data and electronic medical records, health files, public health information, and inter-industry exchanges, so as to provide decision support such as impact estimation for medical and health services and realize people-centered new medical and health services. The information fusion model based on human sensing objects is a global abstraction of the information fusion process adapted to the characteristics of the medical and health IoT, based on the national standard GB/T 33474-2016 "IoT Reference Architecture". By fusing information from multi-source heterogeneous sensing devices in the IoT environment with supporting data and fused data in the health service provision domain, pre-processing of sensing signals, estimation of human sensing objects, estimation of the group situation of human sensing objects, impact estimation of human sensing objects, and optimized control management can be achieved, thereby obtaining more accurate, complete, and timely information for presentation in human-computer interaction interfaces, intelligent decision-making, system operation and maintenance control optimization, and other applications.

Development Information

Related Standards