Developing a Remote Visualization and Diagnostic System for Electric Operating Table

Abstract

In order to make the electric operating tables in each medical institution have good management and maintenance, this paper proposes a system that can monitor and diagnose the running conditions of operating table visually and remotely. The system use advanced sensor technology to collect all kinds of parameters of operating table, and send the data to Data Center through the wireless transmission way. In order to realize the visual diagnosis, this paper provides several kinds of models to display the real state of operating table, including mechanical models, hydraulic models, electrical structure models, and the corresponding internal small unit structure models. Then the staff can monitor and diagnose the operating table according to the various models. Furthermore, this paper purposes an expert system to diagnose some common and happened fault rapidly and accurately, which can greatly improve the management and maintenance of electric operating table.