Title :
Anesthesia patient monitoring and control in wireless-based systems
Author :
Tan, Zhibin ; Le Yi Wang ; Wang, Hong
Author_Institution :
Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
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.
Keywords :
biomedical communication; medical control systems; medical signal processing; noise; patient monitoring; telecommunication channels; wireless sensor networks; anesthesia depth control; anesthesia patient monitoring; channel noises; communication bandwidth resources; communication channels; patient control; remote monitoring; signal averaging; wireless-based systems; Anesthesia; Bandwidth; Communication channels; Communication system control; Control systems; Feedback; Noise reduction; Patient monitoring; Quantization; Remote monitoring;
Conference_Titel :
Electro/Information Technology, 2009. eit '09. IEEE International Conference on
Conference_Location :
Windsor, ON
Print_ISBN :
978-1-4244-3354-4
Electronic_ISBN :
978-1-4244-3355-1
DOI :
10.1109/EIT.2009.5189592
