Selective cardiac-magnetic signal averaging method in signal noise suppression

A signal noise and magnetic signal technology, applied in the field of signal selective averaging, can solve the problems of signal distortion, high complexity, low efficiency, etc., and achieve the effect of avoiding signal distortion and high flexibility

Active Publication Date: 2013-03-27
漫迪医疗仪器(上海)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, the most commonly used method is to average the entire segment of the signal. This method introduces these stubborn noises into the final averaged result, causing signal distortion.
In addition, there is a cluster analysis method [DD

Method used

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  • Selective cardiac-magnetic signal averaging method in signal noise suppression
  • Selective cardiac-magnetic signal averaging method in signal noise suppression
  • Selective cardiac-magnetic signal averaging method in signal noise suppression

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Experimental program
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Embodiment 1

[0032] figure 1 Algorithm flow chart of the selective averaging method: firstly, the primary template signal is obtained by performing full average processing on the magnetic signal to be processed; secondly, the template matching is performed by using the MCD method, and the similarity coefficient between the template signal and the magnetic signal to be processed is calculated; The cycles that meet the set threshold conditions are averaged to obtain the final template; then the final template is matched with the signal to be tested using the MCD method to obtain the qualified cycles; finally, the selected signal cycles are averaged to obtain a selective average signal.

[0033] figure 2 Select an example of averaging for the simulated magnetic signal: use the electrocardiographic signal to drive a small coil to simulate the magnetic signal, and collect the simulated magnetic signal through the acquisition system. figure 2 (a) is the identification of the interference cycle...

Embodiment 2

[0037] The specific steps of signal selective averaging method of the present invention are:

[0038] 1. Find the R peak of the reference ECG signal corresponding to the electrocardiogram signal to be processed, and use it as a benchmark for signal segmentation, divide the electrocardiogram signal to be processed into individual cycles, and judge the edge data segments at both ends of the signal , discarding incomplete cycles.

[0039] 2. Carry out coherent averaging on all independent magnetic cycles of the heart, that is, superimpose and average corresponding points, and use the averaged result as a primary template.

[0040] 3. Compare each independent cardiomagnetic cycle with the primary template, calculate the similarity coefficient, and obtain a set of similarity coefficient sequences; set a reasonable threshold, compare the similarity coefficient sequence with the threshold, and judge the cycle that does not meet the threshold condition as Bad signals are discarded. ...

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Abstract

The invention relates to a selective cardiac-magnetic signal averaging method in signal noise suppression. The selective cardiac-magnetic signal averaging method is characterized by comprising the following steps of: calculating a similarity coefficient between a template signal and a detected signal based on a template matching way; and removing part of interference cyclic waves through threshold value judgment for averaging, so that the selective signal averaging is realized. According to the selective cardiac-magnetic signal averaging method in signal noise suppression disclosed by the invention, the cyclic waves with noise interference and abnormal signals in the signals are removed by virtue of template matching, so that unnecessary signal distortion caused by noises is not introduced to the signal averaging result, and the flexibility is high; and moreover, the selective cardiac-magnetic signal averaging method is applicable to solving various interference problems during a process of acquiring cardiac-magnetic signals.

Description

technical field [0001] The invention relates to a signal selective averaging method in cardiomagnetic signal noise suppression, more precisely, the invention relates to a signal selective averaging method applied to cardiomagnetic signal noise suppression. Background technique [0002] Superconducting Quantum Interference Device (SQUID) is the most sensitive magnetic flux sensor known so far. The magnetic field sensitivity of a typical low-temperature superconducting SQUID is 3-5fT / sqrt(Hz). As an important application field of SQUID, it has been proved by clinical research that the cardiomagnetic system has unique application potential in heart disease diagnosis and functional research [V.Pizzela et al, Supercond.Sci.Technol.14(2001) R79-R114] . [0003] The signals collected by the magnetic cardiology system include useful signals and noise interference, and the noise includes white noise, non-white noise, external environment interference, and some changes from the signa...

Claims

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Application Information

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IPC IPC(8): A61B5/0402
Inventor 刘明张树林曾佳邱阳李华王永良孔祥燕谢晓明
Owner 漫迪医疗仪器(上海)有限公司
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