Papers by Author: Guang Shuai Zhu

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Abstract: Adding glucose in water will cause two influences on the aqueous solution: one is absorption coefficient addition of glucose; the other is absorption coefficient decrease of water because of water displacement. So the total absorption effect is the result of the absorption coefficient increase of glucose and absorption coefficient decrease of water. In this paper the absorption coefficient of glucose water is analyzed in consideration of water displacement. By data of handbook, we deduce a relationship between the glucose absorption coefficient addition and water absorption coefficient decrease. When one molar glucose is added into water, 6.15 molars water molecular is displaced. The wavelength selection in glucose detection should be at the place where the combined absorption is maximum. The wavelength of widely used in blood glucose concentration detection, e.g. 1.6μm, is selected as an example for analysis. When glucose is added into water, the linear relationship between glucose concentration and absorption coefficient is hold on. On the other hand, when the water molecular is decreased, the water absorption coefficient will decreased, too, which will decrease the total absorption coefficient compared to the situation without water displacement. In general, water displacement will decrease the sensitivity of absorption coefficient to glucose concentration.
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Abstract: A lung simulator utilizing flow track to simulate spontaneous breathing is presented as an alternative to the existed lung system in the medical patient simulator. The hardware of simulator is similar and updated from Meka’s paper. The existing lung system can be divided into two main types. One is traditional bellows driven mechanical lung system, the other is bellow-less lung simulator driven by carinal pressure that to be controlled. Our lung simulator is upgraded from bellow-less simulator. The research focus on the flow pattern the lung simulator generated which can image the lung mechanical factors directly. The flow pattern of the lung simulator is modeled by transfer function combined with respiratory muscle pressure, which is the target that the bellow-less lung simulator to track. The target flow pattern is tracked by PID algorithm widely used in automation filed and realized by Control Design and Simulation module in LabVIEW. We simulate the normal respiratory motion by flow track in this study. The pathology breath flow can be simulated by change of resistance, compliance or muscle pressure, which is easy to adjust in the LabVIEW program.
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