Development of Intelligent Old-Age Medical and Health System Based on Data Fusion

Abstract

Starting from the construction of an intelligent medical and health system for elderly care, it is proposed to use improved Particle Swarm Optimization Algorithm (PSOA) data fusion algorithm, network video surveillance technology, and hardware equipment such as Radio-Frequency Identification (RFID) smart bracelets and intelligent mobile robots to establish a distributed elderly care The intelligent service system collects vital signs, human movements, human posture characteristics, and position change information of the elderly, and uses improved PSOA data fusion algorithm, the data fusion processing of different types of human body information is completed, which not only greatly improves the utilization rate of medical resources for the elderly, but also ensures the data fusion accuracy of human health detection for the elderly. The improved PSOA neural network data fusion results can provide support for the intelligent care of the elderly care institutions.