Research On Signalacquisition And Processing Of Microfluidic Electrophoresis System Based On FPGA

In recent years,the prevalence of cardiovascular disease in China has increased year by year,and the mortality rate of cardiovascular disease is much higher than other diseases.The development of cardiovascular disease detection system to assess the incidence of cardiovascular disease,taking active protection or treatment measures in advance,is conducive to reducing the risk of cardiovascular disease and mortality.However,the widespread use of foreign testing instruments is currently costly.Therefore,the development of a diagnostic cardiovascular disease detection system has great social significance and a huge market.This paper develops a microfluidic electrophoresis instrument for detecting blood lipid sub-components,which can accurately detect the content of blood lipid sub-components,and also has the characteristics of small volume,accurate analysis,high speed and low cost.This paper mainly studies and designs the data acquisition hardware circuit and the fluorescence protein signal analysis and processing method of microfluidic electrophoresis instrument.The main contents are as follows:(1)Design a data acquisition hardware circuit based on FPGA control.The fluorescent protein detection protocol was studied,and the light-emitting diode LED645 L was selected to stimulate the fluorescence of the fluorescent protein,and the weak fluorescent protein signal was collected by the photomultiplier tube H10723-20.Design and debug LED-based LED driver circuit,photomultiplier tube driver circuit,motor driver circuit,data pre-processing and acquisition circuit module.(2)Research and design of fluorescence protein signal denoising and signal peak information extraction.According to the multi-resolution analysis characteristics of wavelet analysis signals,the proposed new threshold processing function is applied in lifting scheme wavelet denoising to overcome the shortcomings of traditional threshold functions.The matlab analysis shows that the new threshold processing function has better denoising effect in the denoising of fluorescent protein signals.A method for extracting peak information of fluorescent protein signal based on wavelet ridge and morphology is proposed.The peak position,peak intensity,peak width and peak area information are analyzed to complete the detection of blood lipid subcomponent components and content.(3)Research and design of the application of the autofocus control algorithm and Sym5 lifting wavelet threshold denoising in FPGA.In this paper,the limit switch is combined with the mountain climbing searchalgorithm to realize the autofocus function in the process of collecting data by the photomultiplier tube,and find the best collection point of the fluorescent protein data.According to the Sym5 lifting scheme,the Sym5 lifting wavelet decomposition and reconstruction module,coefficient threshold calculation and threshold processing module are designed in the FPGA.Finally,through the system's overall test,the FPGA-based microfluidic electrophoresis instrument can analyze the components and content of blood lipid sub-components in serum samples,and realize the function of evaluating cardiovascular diseases.