J-wave extraction and analysis method based on non-negative matrix factorization

A technology of non-negative matrix decomposition and analysis method, which is applied in the field of J-wave extraction and analysis based on non-negative matrix decomposition, and can solve problems such as low extraction accuracy and J-wave analysis errors

Active Publication Date: 2014-06-18
TAIYUAN UNIV OF TECH
View PDF0 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention provides the J wave extraction and analysis method based on non-negative matrix decomposition in order to solve the problems of low extraction precision of the existing method for extracting J waves and errors in the analysis of J waves

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • J-wave extraction and analysis method based on non-negative matrix factorization
  • J-wave extraction and analysis method based on non-negative matrix factorization
  • J-wave extraction and analysis method based on non-negative matrix factorization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] The J-wave extraction method based on non-negative matrix factorization comprises the following steps:

[0016] Obtain the electrocardiogram signal with J wave by electrocardiograph;

[0017] Preprocess the matrix V of the ECG signal to obtain the initial value matrix V 1 , V 2 : Take out the positive elements in the matrix V of the ECG signal and form a new initial value matrix V 1 , the positive elements in the matrix V of the ECG signal are taken away and all the vacant positions are filled with zeros, and the matrix formed by the zero elements and negative elements in the matrix V of the ECG signal takes the absolute value to obtain a new initial value matrix V 2 ;

[0018] reconstruction error Obtain the mixing matrix W and the source signal matrix H, select the initialization method based on principal component analysis to initialize W and H, and obtain non-negative matrices W' and H': reconstruction error In the formula is the matrix obtained by subtrac...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to methods for extraction and analysis of J waves, in particular to a J-wave extraction and analysis method based on non-negative matrix factorization. The J-wave extraction and analysis method based on non-negative matrix factorization comprises the following steps that electrocardiosignals with J-wave source signals are obtained, and an initial value matrix V1 and an initial value matrix V2 are obtained through preprocessing; a hybrid matrix W and a source signal matrix H are obtained through reconstruction errors, the hybrid matrix W and the source signal matrix H are initialized, and then a non-negative matrix W' and a non-negative matrix H' are obtained; convergence of an objective function is achieved through respective iterative algorithms of the non-negative matrix W' and the non-negative matrix H', and H1 and H2 are obtained; after the H1 and the H2 are combined, J-wave source signals are obtained, conversion is conducted on the J-wave source signals, digital features are obtained through extraction, and the J-wave source signals with the same digital feature are classified into the same type. By the adoption of the J-wave extraction and analysis method based on non-negative matrix factorization, J waves are successively extracted, the extraction precision of the J waves meets the requirement, analysis about time domain, frequency domain, power spectral density and spectrum is conducted on the J waves, the features of the J waves are obtained through extraction, the J waves with the same digital feature are classified into the same type, and then a doctor makes accurate diagnosis for a patient referring to clinical cases.

Description

technical field [0001] The invention relates to a J-wave extraction and analysis method, in particular to a J-wave extraction and analysis method based on non-negative matrix decomposition. Background technique [0002] J wave is a normal ECG variation. When the J wave is analyzed and the characteristics of the J wave are extracted from it, doctors can more accurately diagnose ventricular tachycardia, ventricular fibrillation, fatal malignant arrhythmia and other ventricular diseases in combination with clinical cases. Therefore it is very important to extract the J wave. Although the current method of processing ECG signals is very mature, the method of extracting J-wave source signals from ECG signals is still relatively rare, and the extraction accuracy is not high, and the extracted J-wave needs to be analyzed from the signal. To study the J-wave based on the digital characteristics of the J-wave, the source signal of the J-wave must be extracted separately from the ECG...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0452
Inventor 李灯熬吕竞昂赵菊敏
Owner TAIYUAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products