NDLI: Anesthesia patient monitoring and control in wireless-based systems

Content Provider	IEEE Xplore Digital Library
Author	Zhibin Tan Le Yi Wang Hong Wang
Copyright Year	2009
Description	Author affiliation: Department of Electrical and Computer Engineering Wayne State University Detroit, Michigan 48202, USA (Zhibin Tan; Le Yi Wang) \|\| Department of Anesthesiology Wayne State University Detroit, Michigan 48202, USA (Hong Wang)
Abstract	This paper investigates impact of noise and signal averaging on patient control in anesthesia applications in wireless connected systems. 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 windows size. A typical case of anesthesia depth control problems is used in this development.
Starting Page	103
Ending Page	108
File Size	437416
Page Count	6
File Format	PDF
ISBN	9781424433544
DOI	10.1109/EIT.2009.5189592
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-07
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Anesthesia Patient monitoring Control systems Communication system control Communication channels Quantization Bandwidth Noise reduction Remote monitoring Feedback
Content Type	Text
Resource Type	Article

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