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An Effective Way of J Wave Separation Based on Multilayer NMF
Joint Authors
Li, Deng-ao
Lv, Jing-ang
Zhao, Ju-min
Zhang, Jin
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-10-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Li, Deng-ao& Lv, Jing-ang& Zhao, Ju-min& Zhang, Jin. 2014. An Effective Way of J Wave Separation Based on Multilayer NMF. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1016767
Modern Language Association (MLA)
Li, Deng-ao…[et al.]. An Effective Way of J Wave Separation Based on Multilayer NMF. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1016767
American Medical Association (AMA)
Li, Deng-ao& Lv, Jing-ang& Zhao, Ju-min& Zhang, Jin. An Effective Way of J Wave Separation Based on Multilayer NMF. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1016767
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1016767