基于Arduino的智能放疗患者监测管理系统开发OA

Objective To develop an intelligent radiotherapy patient monitoring and management system based on Arduino.Methods The system took Arduino Mega as the core and integrates multiple modules to achieve identity recognition and physiological parameter monitoring.The performance of the system was verified through experiments on healthy subjects,complex scene simulations of radiotherapy patients,and clinical questionnaires.The simple moving average model was used to analyze physiological parameters,and dynamic thresholds were set to assist in decision-making.Results The system achieved an(1.70±0.10)s of rapid identity recognition among healthy subjects compared with the traditional manual verification(P<0.001),and the recognition accuracy rate of radiotherapy patients in complex scenarios reached 97.66%.There was no statistically significant difference in physiological parameter monitoring compared with clinical equipment(P>0.05).Dynamic thresholds could be set through a simple moving average model to achieve personalized prediction of patients'physiological parameters.Patients highly affirmed the system functions and treatment experience.Technicians believed that the system optimized the workflow and significantly improved the efficiency of identity verification,but the convenience of obtaining physiological information should be enhanced.Conclusion Through precise identity verification,dynamic physiological monitoring and personalized threshold setting,this system can effectively improve the safety and working efficiency of radiotherapy,provide a new solution for intelligent radiotherapy management.