Wavelet filteration method for muting carbon dioxide concentration detection signal

A carbon dioxide and wavelet filtering technology, applied in the field of biomedical engineering, can solve the problems of noise signal submersion and inability to extract

Inactive Publication Date: 2010-12-01
TIANJIN UNIV
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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 effectiv

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  • Wavelet filteration method for muting carbon dioxide concentration detection signal
  • Wavelet filteration method for muting carbon dioxide concentration detection signal
  • Wavelet filteration method for muting carbon dioxide concentration detection signal

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Wavelet transform has good localization in time domain and frequency domain, and has unique advantages in analyzing transient and non-stationary signals. The main feature of wavelet transform is the dual locality and linear decomposition in the time domain and frequency domain. The signal can be linearly decomposed into components representing different times or frequencies. Wavelet multi-resolution analysis uses wavelet transform to divide the frequency of the signal. The position of each frequency component on the time axis remains unchanged. Therefore, according to the difference in frequency between the spectral signal and the noise signal, they can be effectively separated to realize the extraction of the photoelectric signal from the noise.

The wavelet analysis method is a time-frequency localization analysis method in which the size of the window is fixed, but the shape can be changed, and the time window and frequency window can be changed. That is, the low frequency par...

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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...

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Application Information

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IPC IPC(8): G01N21/35G01N21/3504
Inventor 杨嘉琛王斌梁琼李杰武强一韦娜范超伟
Owner TIANJIN UNIV
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