Signal averaging for noise reduction in anesthesia monitoring and control with communication channels

摘要: This paper investigates impact of noise and signal averaging on patient control in anesthesia applications, especially networked system settings such as wireless connected systems, sensor networks, local area or tele-medicine over a wide network. Such systems involve communication channels which introduce noises due to quantization, channel noises, have limited bandwidth resources. Usually can be used effectively reducing effects when remote monitoring diagnosis are involved. However, feedback is intended, we show that will lose its utility substantially. To explain this phenomenon, analyze stability margins under derive some optimal strategies for selecting window sizes. A typical case anesthe-sia depth problems development.