Blood sample analysis for diabetic patients
In this project, several methods were explored to enable a quantitative analysis of multicomponent chromatograms. These methods include Fourier Analysis, Self Modeling Curve Resolution and Non-Linear Filtering. The most promising method was employed to conduct quantiative analysis on some availabl...
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sg-ntu-dr.10356-27402023-03-04T03:19:55Z Blood sample analysis for diabetic patients Tan, Yoke Lin. School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics In this project, several methods were explored to enable a quantitative analysis of multicomponent chromatograms. These methods include Fourier Analysis, Self Modeling Curve Resolution and Non-Linear Filtering. The most promising method was employed to conduct quantiative analysis on some available chromatograms of blood samples in order to obtain meaningful results. RG 67/94 2008-09-17T09:14:03Z 2008-09-17T09:14:03Z 2000 2000 Research Report http://hdl.handle.net/10356/2740 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Tan, Yoke Lin. Blood sample analysis for diabetic patients |
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In this project, several methods were explored to enable a quantitative analysis of multicomponent chromatograms. These methods include Fourier Analysis, Self Modeling Curve Resolution and Non-Linear Filtering. The most promising method was employed to conduct quantiative analysis on some available chromatograms of blood samples in order to obtain meaningful results. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Tan, Yoke Lin. |
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Research Report |
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Tan, Yoke Lin. |
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Tan, Yoke Lin. |
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Blood sample analysis for diabetic patients |
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Blood sample analysis for diabetic patients |
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Blood sample analysis for diabetic patients |
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Blood sample analysis for diabetic patients |
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Blood sample analysis for diabetic patients |
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blood sample analysis for diabetic patients |
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2008 |
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http://hdl.handle.net/10356/2740 |
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