Research On Photoelectric Detection System For Glycosylated Hemoglobin

Diabetes has a great threat to human health.As an important indicator reflecting the blood sugar level of the human body,the detection of glycosylated hemoglobin concentration is of great significance for diabetic patients.The research on the photoelectric information detection system of glycated hemoglobin is the key problem to solve the measurement of glycated hemoglobin concentration.In this thesis,a high-integration,fully automated and low-cost photodetection system is designed for the current research status of methods for detecting glycosylated hemoglobin concentration at home and abroad.Based on the Lambert Beer’s law,the system uses the optical path to detect changes in glycated hemoglobin concentration and to judge the condition based on its changing trend.In this thesis,the problem of signal doping noise in photodetection process is based on the traditional wavelet threshold denoising algorithm,and the traditional algorithm is improved according to the characteristics of the sampling signal.Finally,the denoised signal is curve-fitted to obtain the fitting function and find the median inflection point where the signal changes from the beginning to the stable.The actual system verification shows that all the functions of the hardware module have been successfully implemented.The improved algorithm not only retains the advantage that the hard threshold function can effectively remove noise,but also overcomes the disadvantage that the soft threshold function is prone to deviation,and eliminates the oscillation phenomenon.The function is as smooth as possible,which proves the superiority of the improved algorithm;the fitted curve function can reflect the change trend of the sampling point with the smallest error,and it is easy to find the median inflection point.