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Signal Selective Averaging Method in Noise Suppression of Magnetic Cardiosignal Signals

A technology of signal noise and magnetic signal, applied in the field of signal selective averaging, which can solve the problems of signal distortion, high complexity and low efficiency.

Active Publication Date: 2018-04-06
漫迪医疗仪器(上海)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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 [DDiPietroPaolo, H-P Muller and S N Erne, Phys.Med.Biol.50 (2005) 2415-2426], which divides each signal segment into a tree structure according to the signal characteristics. However, due to the complexity caused by too fine, the efficiency is low

Method used

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  • Signal Selective Averaging Method in Noise Suppression of Magnetic Cardiosignal Signals

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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 signal selective averaging method in the suppression of magnetic signal noise, which is characterized in that the method is based on a template matching method, by calculating the similarity coefficient between the template signal and the detected signal, and judging by the threshold to eliminate Partial interfering cycles are averaged for selectable signal averaging. The feature of this method is to use template matching to eliminate the cycles of noise interference or abnormal signals in the signal, avoid introducing unnecessary noise to the average signal result and cause signal distortion, and has a high degree of flexibility. It is suitable for the actual collection of magnetic signals. Various interference issues.

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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Patent Type & Authority Patents(China)
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