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J wave extraction method based on sparse component analysis

A technology of sparse component analysis and extraction method, which is applied in the field of J wave extraction based on sparse component analysis, can solve the problems of insufficient estimated mixing matrix and inability to extract J waves, and achieves the effect of improving the extraction accuracy

Active Publication Date: 2014-06-25
TAIYUAN UNIV OF TECH
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Problems solved by technology

[0005] The present invention provides a J-wave extraction method based on sparse component analysis in order to solve the problem that the existing signal extraction method is insufficient in estimating the mixing matrix and thus cannot extract the J-wave

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  • J wave extraction method based on sparse component analysis
  • J wave extraction method based on sparse component analysis
  • J wave extraction method based on sparse component analysis

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Embodiment Construction

[0018] A method for extracting J waves based on sparse component analysis, comprising the following steps:

[0019] Obtain two observation signals from the body surface

[0020] x 1 x 2 = X = ( X 1 , · · · X p ) = x 11 , x 12 · · · x 1 p ...

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Abstract

The invention relates to J wave extraction methods, in particular to a J wave extraction method based on sparse component analysis. The J wave extraction method based on sparse component analysis comprises the steps that an observation signal is pre-processed firstly, interference and noise are removed, and then a hybrid matrix is estimated; due to the fact that the hybrid matrix can not be estimated completely with the K mean value clustering method, the improvement is conducted, the other row of the hybrid matrix is estimated based on the fact that a source signal is recovered, then a second source signal is recovered, and finally J waves are extracted. Compared with the prior art, the J wave extraction method based on sparse component analysis has the advantages that the hybrid matrix is estimated under the condition that the source signals are not sufficient and sparse, and then the J waves are extracted through the hybrid matrix; the J waves, in different shapes, appearing in the normal electrocardiosignal ST section can be extracted, and the J wave extraction accuracy is improved.

Description

technical field [0001] The invention relates to a J-wave extraction method, in particular to a J-wave extraction method based on sparse component analysis. Background technique [0002] The connection point between the QRS (magnetic resonance angiography) complex wave and the ST segment in the electrocardiogram is called the J point, which indicates the end of depolarization and the beginning of repolarization. In the transition zone, the overlapping time of the human body is about 10ms. If the J point shifts from the baseline, it is called the J point offset. J wave is a normal ECG variation. When the J wave is analyzed in the time domain and frequency domain, the characteristics of the J wave can be extracted from it. The doctor can further accurately diagnose ventricular tachycardia, ventricular fibrillation, and fatal heart disease in combination with clinical cases. For malignant arrhythmias, doctors can also diagnose sudden death in combination with J waves. Therefor...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0452
Inventor 李灯熬张桂敏赵菊敏
Owner TAIYUAN UNIV OF TECH