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

Autor:	Le Yi Wang, Zhi-Bin Tan, Hong Wang
Rok vydání:	2009
Předmět:	Control theory business.industry Wide area network Computer science Quantization (signal processing) Noise reduction Electronic engineering Wireless Networked control system Signal averaging business Wireless sensor network Communication channel
Zdroj:	Journal of Biomedical Science and Engineering. :564-573
ISSN:	1937-688X 1937-6871
DOI:	10.4236/jbise.2009.27082
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4a3211b059f63664b40b5cbd5c28083d https://doi.org/10.4236/jbise.2009.27082 Zobrazit plný text záznamu