Signal denoising method of microfluidic chip based on double threshold of energy element

Abstract

A microfluidic chip signal denoising method based on energy element double thresholds, comprising the following steps: 1. According to the characteristics of the microfluidic chip signal, select a wavelet base and decomposition level, and perform discrete stationary wavelet transform to obtain wavelet coefficients; 2. Transform wavelet coefficients into wavelet coefficient energy elements; 3. Use double threshold function to denoise wavelet coefficient energy elements; 4. Use spatial correlation denoising method to optimize the results after double threshold denoising; 5. The coefficients of the optimized results are restored, and the signal is reconstructed by discrete stationary wavelet inverse transform. The invention can suppress the pseudo-Gibbs phenomenon; it can reduce the loss of microfluidic chip signals and improve the denoising effect of the signals; The detection result of the control chip is more accurate, and the accuracy of the signal after denoising is improved.

Description

technical field [0001] The invention relates to the technical field of chip signal noise processing, in particular to a microfluidic chip signal denoising method based on energy element double thresholds. Background technique [0002] Microfluidic chip, as the core technology of the micro-analysis system proposed in the 1990s, is one of the fastest-growing fields at present, because of its fast response speed, low power consumption, low sample consumption, and easy miniaturization and automation And other characteristics, it has broad application prospects in the field of analysis and detection. The signal of the microfluidic chip is a series of narrow pulse signals in the form of peaks, and different peaks represent different detected ions. The detected microfluidic chip obtained from the analytical detector is a non-stationary signal, which usually contains a lot of noise, and the interference of the noise signal reduces the detection accuracy of the microfluidic chip. ...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a method capable of suppressing pseudo-Gibbs for the disadvantages of the existing microfluidic chip noise reduction method in the background technology that can produce Gibbs phenomenon, easily lose high-frequency information of the signal, and affect the accuracy of the signal after signal denoising. Phenomenon, can reduce signal loss, signal denoising method based on double threshold value of energy element microfluidic chip signal denoising method with higher accuracy after denoising

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