Wavelet filteration method for muting carbon dioxide concentration detection signal

Abstract

The invention belongs to the field of biomedical engineering, and relates to a wavelet filteration method for muting a carbon dioxide concentration detection signal. The method comprises the following steps: selecting Mexican Hat as a wavelet basis, and determining the gradations of wavelet decomposition to be 3; then carrying out wavelet decomposition of three gradations on a carbon dioxide concentration signal detected by a carbon dioxide monitor; setting a certain fixed threshold, and carrying out threshold quantization treatment on each high-frequency coefficient of the first gradation to the third gradation; and carrying out wavelet reconstruction of one-dimensional signals according the low-frequency coefficients of the third gradation of wavelet decomposition and the high-frequency coefficients of the first gradation, the second gradation and the third gradation obtained by threshold quantization treatment. The invention can well realize effective separation of the useful part and noise of the signal, thereby causing no signal distortion.

Description

A Wavelet Filtering Method for Noise Suppression of Carbon Dioxide Concentration Detection Signal technical field The invention belongs to the technical field of biomedical engineering, and relates to a wavelet filtering method for noise suppression of a carbon dioxide concentration detection signal. Background technique It is of great significance to monitor the concentration of carbon dioxide and the concentration of carbon dioxide at the end of breath in clinical practice, and has become one of the important vital indicators. This makes how to accurately capture the moment of end-tidal tide become a problem. At the same time, with the maturity and popularity of NDIR technology in gas measurement applications, the mainstream CO 2 Concentration monitoring methods are proposed and applied in medical treatment. The absorption of infrared radiation of a certain wavelength by gas molecules obeys the Lambert-Beer absorption law, so carbon dioxide can absorb infrared radiatio...

AI Technical Summary

Problems solved by technology

However, if there are various interferences and distortions in the detected carbon dioxide concentration signal, the real-time and continuous detection of the significance of the carbon dioxide concentration in the patient's breath cannot be well realized, which requires a feasible and effective filtering method

In carbon dioxide gas detection, it is often impossible to extract effective information from the recorded data due to the existence of noise

The electrical signal collected by the carbon dioxide photoelectric sensor is a weak signal, which is easily overwhelmed by noise signals

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