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An effective way of J wave separation based on multilayer NMF.

Li DA, Lv JA, Zhao JM, Zhang J - Comput Math Methods Med (2014)

Bottom Line: J wave is getting more and more important in the clinical diagnosis as a new index of the electrocardiogram (ECG) of ventricular bipolar, but its signal often mixed in normal ST segment, using the traditional electrocardiograph, and diagnosed by experience cannot meet the practical requirements.Therefore, a new method of multilayer nonnegative matrix factorization (NMF) in this paper is put forward, taking the hump shape J wave, for example, which can extract the original J wave signal from the ST segment and analyze the accuracy of extraction, showing the characteristics of hump shape J wave from the aspects of frequency domain, power spectrum, and spectral type, providing the basis for clinical diagnosis and increasing the reliability of the diagnosis of J wave.

View Article: PubMed Central - PubMed

Affiliation: College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, China.

ABSTRACT
J wave is getting more and more important in the clinical diagnosis as a new index of the electrocardiogram (ECG) of ventricular bipolar, but its signal often mixed in normal ST segment, using the traditional electrocardiograph, and diagnosed by experience cannot meet the practical requirements. Therefore, a new method of multilayer nonnegative matrix factorization (NMF) in this paper is put forward, taking the hump shape J wave, for example, which can extract the original J wave signal from the ST segment and analyze the accuracy of extraction, showing the characteristics of hump shape J wave from the aspects of frequency domain, power spectrum, and spectral type, providing the basis for clinical diagnosis and increasing the reliability of the diagnosis of J wave.

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The SIRs of separated signals and mixing matrix A after single layer NMF separation.
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fig7: The SIRs of separated signals and mixing matrix A after single layer NMF separation.

Mentions: As a comparison, the figures of single layer NMF separation results are shown in Figures 6 and 7. Figure 6 shows estimated signals by single layer fixed-point NMF decomposing. Figure 7 shows the SIRs of four-channel estimated signals and mixing matrix A which are 109.5713 dB and 91.935 dB. It verifies the feasibility of 7-layer separating method once again and can separate the J wave from the ECG with high accuracy. In the separated signals, x1 and x2 form a normal ECG and x3 and x4 form a hump shape J wave signal.


An effective way of J wave separation based on multilayer NMF.

Li DA, Lv JA, Zhao JM, Zhang J - Comput Math Methods Med (2014)

The SIRs of separated signals and mixing matrix A after single layer NMF separation.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4209766&req=5

fig7: The SIRs of separated signals and mixing matrix A after single layer NMF separation.
Mentions: As a comparison, the figures of single layer NMF separation results are shown in Figures 6 and 7. Figure 6 shows estimated signals by single layer fixed-point NMF decomposing. Figure 7 shows the SIRs of four-channel estimated signals and mixing matrix A which are 109.5713 dB and 91.935 dB. It verifies the feasibility of 7-layer separating method once again and can separate the J wave from the ECG with high accuracy. In the separated signals, x1 and x2 form a normal ECG and x3 and x4 form a hump shape J wave signal.

Bottom Line: J wave is getting more and more important in the clinical diagnosis as a new index of the electrocardiogram (ECG) of ventricular bipolar, but its signal often mixed in normal ST segment, using the traditional electrocardiograph, and diagnosed by experience cannot meet the practical requirements.Therefore, a new method of multilayer nonnegative matrix factorization (NMF) in this paper is put forward, taking the hump shape J wave, for example, which can extract the original J wave signal from the ST segment and analyze the accuracy of extraction, showing the characteristics of hump shape J wave from the aspects of frequency domain, power spectrum, and spectral type, providing the basis for clinical diagnosis and increasing the reliability of the diagnosis of J wave.

View Article: PubMed Central - PubMed

Affiliation: College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, China.

ABSTRACT
J wave is getting more and more important in the clinical diagnosis as a new index of the electrocardiogram (ECG) of ventricular bipolar, but its signal often mixed in normal ST segment, using the traditional electrocardiograph, and diagnosed by experience cannot meet the practical requirements. Therefore, a new method of multilayer nonnegative matrix factorization (NMF) in this paper is put forward, taking the hump shape J wave, for example, which can extract the original J wave signal from the ST segment and analyze the accuracy of extraction, showing the characteristics of hump shape J wave from the aspects of frequency domain, power spectrum, and spectral type, providing the basis for clinical diagnosis and increasing the reliability of the diagnosis of J wave.

Show MeSH
Related in: MedlinePlus