Fundamental Study of Parameter Relationship in Hemodialysis
Date Issued
2016
Date
2016
Author(s)
Shih, Hsien-Chang
Abstract
Abstract This dissertation develops a method to solve macro- and micro- physical problems for property relation among biomedicical application over physical and chemical domains within the framework of optimal feedback control for preparing in the work of application. Starting from physical interpretation of quantum mechanics, the General-Physical Relation is derived and then expanded into the Multi-Physics Relations Table, and expressed in partial differential form to serve as the governing equation (for describing the transient probability density of frontier orbital electron to apply hemodialyzer fiber surface in the future) which is the dominant factors of plasma in hemodialyzer. Content and contribution of this dissertation are to build relationships between bio-physical and chemical parameters of embedded long-term self-renewable hemodialysis (Renewable Hemodialysis artificial kidney, RHD Prototype, a renal replacement therapy). Qualitative experiment and quantitative case study demonstrate the use of the relationship between bio-physical and chemical parameters in order to achieve the minimum security baseline required for the long-term use of RHD artificial kidney with the influence of physiologically bio-physical and chemical parameters, especially body temperature and the material deformation of RHD artificial kidney. For the qualitative experiment, fiber plastic specimens are heat treated to produce surface strain, thereby completely releasing the stress in the material. The presence of surface distortion qualitatively confirms the relation between stress and temperature, thereby confirming the underlying physical meaning of the physical relation. A case study is undertaken to measure the surface strain for quantitative confirmation of the relation between temperature and stress. This is a demonstration of the special case of General-Physical Relation. The all details of the qualitative experiment and quantitative case study are in Appendix 10.
Subjects
Artificial Kidney
Hemodialysis
Transplanting
Property Parameter
Plasma
System Control
Big Data
SDGs
Type
thesis
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