In order to improve the operational accuracy of the remote monitoring system for the health of elderly people living alone, ensure accurate remote monitoring and timely warning of their health status, this study adopted physiological parameter feature fusion technology and developed a new monitoring system. The hardware part of the system includes a main control module, a data acquisition module, a display module, a communication module, and a video surveillance module. The software part is implemented through main program design, physiological parameter collection, physiological signal feature extraction, remote health monitoring of elderly people living alone based on physiological signal feature fusion, anomaly detection and warning, and other links. After testing, the remote monitoring data accuracy of the system has significantly improved, with an accuracy rate of over 98%. This fully proves that the system can more accurately reflect the actual health status of elderly people living alone when monitoring their physiological parameters.