Improved RANSAC Algorithm in Infusion Stabilization

With the popularity of the Internet of Things technology applications in various fields and the continuous improvement of technical level, the intelligence level of China's medical equipment industry is also growing. For example, the infusion monitoring system in the application of intravenous fluids. After collecting the infusion weight by sensors, and uploaded to the host machine to achieve realtime monitoring of the infusion. However, these systems had brought some challenges, such as system of real-time, precision and so on. In this paper, we introduce an infusion stabilization system. The system first obtains the weight of the stability of infusion liquid by weighing sensor, then using the RANSAC algorithm to fit the infusion data characteristic curve. Last, by fitting the model to filter jitter generated in the process of infusion, and around the filter of fitting model to get stable and accurate infusion data. Through the characteristics of transfusion data model, the patient's behavior characteristics were analyzed by system. Through a large number of experiments to prove that such a system has strong robustness. Keywords-RANSAC; infusion jitter; infusion monitoring; real-time; Intelligent Medical