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Micro-fluidic chip signal denoising method based on improved threshold function

A microfluidic chip, value function technology, applied in impedance networks, electrical components, multi-terminal-pair networks, etc., can solve problems such as discontinuous constant deviation, and achieve well-preserved, smooth signal baselines, and avoid pseudo-Gibbs effects. Effect

Pending Publication Date: 2020-06-05
HUNAN INSTITUTE OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to overcome the defects of discontinuity and constant deviation in the commonly used microfluidic chip signal denoising methods, and provide a microfluidic chip signal denoising method based on an improved threshold function

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  • Micro-fluidic chip signal denoising method based on improved threshold function
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  • Micro-fluidic chip signal denoising method based on improved threshold function

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Embodiment Construction

[0038] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the associated drawings. Preferred embodiments of the invention are shown in the accompanying drawings. However, the present invention can be embodied in many different forms and is not limited to the described embodiments of the invention. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0039] Such as figure 1 As shown, a microfluidic chip signal denoising method based on the improved soft threshold function mainly includes the following steps:

[0040] (1) First, according to the characteristics of the microfluidic chip signal, select the wavelet base, determine the number of decomposition layers, perform discrete stationary wavelet transform on the noisy microfluidic chip signal, and obtain the decomposed wavelet coefficient w j...

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Abstract

A micro-fluidic chip signal denoising method based on an improved threshold function comprises the following steps: (1) selecting a wavelet basis, determining the number of decomposition layers, and carrying out discrete stationary wavelet transform on a noisy micro-fluidic chip signal to obtain a wavelet coefficient; (2) selecting a proper threshold value, and performing threshold value quantization processing on the wavelet coefficient by adopting an improved threshold value function; and (3) carrying out discrete stationary wavelet inverse transformation on the wavelet coefficient subjectedto threshold quantization processing to obtain a denoised micro-fluidic chip signal. The problems that a reconstruction signal is oscillated due to discontinuity of a hard threshold method and the reconstruction signal is distorted due to constant deviation of a soft threshold method are solved. The signal denoising effect of the micro-fluidic chip can be improved, the denoised signal baseline ofthe micro-fluidic chip is smooth, the characteristics are well reserved, and the requirement of quantitative analysis of the signal of the micro-fluidic chip is met.

Description

technical field [0001] The invention relates to the technical field of microfluidic chip signal noise processing, in particular to a microfluidic chip signal denoising method based on an improved threshold function. Background technique [0002] Microfluidic chip technology refers to the integration of various basic operating units such as sample pretreatment, reaction, separation and detection in the process of biochemical and medical analysis on a chip with a micron or nanometer microchannel network to automatically complete complex analysis processes. Because of its small consumption of samples and reagents, fast analysis speed, high separation efficiency, and ease of miniaturization, it has developed into a multidisciplinary research field such as biochemistry, medicine, and fluids. It is used in biomedicine, food inspection, environmental monitoring, and criminal It is widely used in reconnaissance and other aspects. According to the analysis of the collected microflui...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H03H7/01
CPCH03H7/01
Inventor 童耀南李金桂陈松周峰
Owner HUNAN INSTITUTE OF SCIENCE AND TECHNOLOGY
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