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Electrocardiosignal baseline leveling method based on wavelet decomposition and spline interpolation

An ECG signal and spline interpolation technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve problems such as changes, inability to establish mathematical models, and achieve the effect of a solid mathematical foundation

Inactive Publication Date: 2018-04-24
ZHEJIANG HELOWIN MEDICAL TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These algorithms will cause changes in the ECG waveform and ST segment. The reason is that none of them can establish a mathematical model that can truly describe the baseline shape.

Method used

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  • Electrocardiosignal baseline leveling method based on wavelet decomposition and spline interpolation
  • Electrocardiosignal baseline leveling method based on wavelet decomposition and spline interpolation
  • Electrocardiosignal baseline leveling method based on wavelet decomposition and spline interpolation

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Embodiment 1

[0185] Embodiment 1: The present invention can solve the problem of baseline drift of conventional electrocardiograms and ambulatory electrocardiograms.

[0186] Select a conventional 12-lead ECG with a sampling rate of 1000 Hz and a length of 10 seconds. Its lead II waveform is as figure 1 shown.

[0187] Using the second-order Daubechies wavelet as the basis function, the lead II signal is decomposed into six-level wavelets, and the high-frequency components of levels 1, 2, 3, 4, and 5 and the low-frequency components of level 6 are all set to zero to reconstruct the signal , the reconstructed signal is as figure 2 shown.

[0188] Draw the original signal of lead II and the reconstructed signal in the same coordinate system, such as image 3 shown. Comparing the two signals, it can be found that the reconstructed signal weakens the influence of the P wave and T wave, highlights the QRS complex, and makes the detection result of the QRS complex more accurate.

[0189] ...

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Abstract

The invention provides an electrocardiosignal baseline leveling method based on wavelet decomposition and spline interpolation. The method comprises the steps that firstly, the position of a QRS wavegroup starting point is determined by utilizing a wavelet analysis method, then the QRS wave group starting point serves as an interpolation node, a baseline form is fitted by using a cubic spline interpolation function, and finally, the baseline is subtracted from original signals, so that drift components in the electrocardiosignals are removed, and the baseline is leveled. The electrocardiosignal baseline leveling method comprises the following steps that firstly, a second-order Daubechies wavelet is selected as a base function, and the original electrocardiosignals are decomposed into a six-stage wavelet, and a sixth-stage high-frequency component reconstruction signal is used for detecting a QRS wave group; secondly, the position of the QRS wave group starting point is determined; thirdly, the position of the QRS wave group starting point serves as an interpolation node, and the baseline form is fitted by using the cubic spline interpolation function; fourthly, the baseline component is subtracted from the original electrocardiosignals to obtain signals without the drift components.

Description

technical field [0001] The invention relates to the measurement and processing of a dynamic electrocardiogram and a conventional electrocardiogram baseline, in particular to a method for leveling the baseline of an electrocardiogram based on wavelet decomposition and spline interpolation, and belongs to the technical field of electrocardiogram processing. Background technique [0002] Electrocardiography is one of the most common routine examinations in cardiology. Electrocardiogram examination is cheap, non-invasive, diagnosable, and locatable. It has been widely used from grassroots community hospitals to large tertiary hospitals. [0003] The accuracy of the ECG waveform directly affects the diagnostic results. For example, even if the ST segment is elevated or depressed by a millivolt, it will affect the doctor's analysis of the patient's condition. Therefore, obtaining accurate and reliable waveforms is critical. Baseline drift is a common phenomenon in the process of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0402A61B5/0472A61B5/00A61B5/366
CPCA61B5/7225A61B5/725A61B5/366A61B5/318
Inventor 朱玉奎何晓彤符灵建
Owner ZHEJIANG HELOWIN MEDICAL TECH
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