This paper investigates impact of noise and signal averaging on patient control in anesthesia applications, especially in networked control system settings such as wireless connected systems, sensor networks, local area networks, or tele-medicine over a wide area network. Such systems involve communication channels which introduce noises due to quantization, channel noises, and have limited communication bandwidth resources. Usually signal averaging can be used effectively in reducing noise effects when remote monitoring and diagnosis are involved. However, when feedback is intended, we show that signal averaging will lose its utility substantially. To explain this phenomenon, we analyze stability margins under signal averaging and derive some optimal strategies for selecting window sizes. A typical case of anesthe-sia depth control problems is used in this development.
展开▼
机译:基于图形界面和无线通讯方式的配电变压器监测分析和无功补偿控制系统A Transformer Monitoring and Reactive Power Compensation Controlling System Based on Graphical User Interface and Wireless Communication
机译:LTE通讯系统中针对同层干扰环境对微小型基地台功率控制与用户位置推荐演算法 =Femtocell Power Control and User Location Recommendation Algorithm for Co-Tier Interference Environment in LTE Communication System
机译:Computer-readable medium, communication terminal, and method for making appropriate selection between promptly receiving communication signal and reducing power consumption
机译:Computer-readable medium, communication terminal, and method for making appropriate selection between promptly receiving communication signal and reducing power consumption