| Summary: | 碩士 === 國立臺北科技大學 === 電子工程系 === 107 === Diabetes is a common chronic disease today, and serious conditions can affect human health. Blood glucose measurement is an important care for diabetes.The current method of measuring blood glucose is to take blood in an invasive way, which not only causes pain and infection. With the advancement of scientific methods, infrared spectroscopy has been widely used in the field of blood glucose measurement and medical care. Non-invasive blood glucose measurement based on near-infrared spectroscopy is a more efficient, non-invasive, low-cost method.
In this study, a non-invasive blood glucose measurement and analysis method based on near-infrared spectroscopy was proposed. Near-infrared with three wavelengths of 900 nm, 940 nm, and 1070 nm. The measurement was carried out by measuring different concentrations of glucose solution to analyze the relationship between the output voltage of the photodiode and glucose, And by comparing the actual measured data with the blood glucose measured by the blood glucose meter. We can build models to predict blood glucose, improve the model by analyzing the relationship between various factors and pulse wave signals, and adding finger thickness, BMI, and Age. The accuracy of our predicted blood glucose levels was analyzed using a Clark error grid.
In the results of this study, a total of 70% of the data error is within 20%, and the Clarke error grid analysis A+B zone can reach 97%. Therefore, the relationship between photoplethysmography (PPG) and blood glucose level is correlated. It is feasible to estimate the blood glucose level by (PPG) optical signal.
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