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J Wave Autodetection Using Analytic Time-Frequency Flexible Wavelet Transformation Applied on ECG Signals
Joint Authors
Li, Deng-ao
Zhao, Ju-min
Zhou, Jie
Liu, Xinyan
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-31
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
As a new important index of the electrocardiogram (ECG) of ventricular bipolar play, J wave plays an increasingly significant role in the clinical diagnosis.
The existence of J wave hints at potential crisis of fatal disease and even death.
Nowadays, however, it can hardly meet the clinical needs where the diagnosis of J wave variation only depends on experience of clinicians.
Therefore, a new technique which is capable of detecting J wave using analytic time-frequency flexible wavelet transformation (ATFFWT) is proposed in this paper.
We have used ATFFWT to decompose the processed ECG signals into the desired subbands.
Further, Fuzzy Entropy (FE) is computed from each subband to capture more hidden and meaningful information.
Feature scoring method is applied to select optimal feature set.
Finally, the extracted features are fed to Least Squares-Support Vector Machine (LS-SVM) classifier.
The 10-fold cross validation is used to obtain reliable and stable performance and to avoid the overfitting of the model.
Our proposed algorithm has achieved accuracy of 97.61% for Morlet Wavelet (MW) kernel in comparison to 97.56% for Radial Basis Function (RBF) kernel.
The developed effective algorithm can be used to design an expert system to aid clinicians in their regular diagnosis.
American Psychological Association (APA)
Li, Deng-ao& Zhou, Jie& Zhao, Ju-min& Liu, Xinyan. 2018. J Wave Autodetection Using Analytic Time-Frequency Flexible Wavelet Transformation Applied on ECG Signals. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1208562
Modern Language Association (MLA)
Li, Deng-ao…[et al.]. J Wave Autodetection Using Analytic Time-Frequency Flexible Wavelet Transformation Applied on ECG Signals. Mathematical Problems in Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1208562
American Medical Association (AMA)
Li, Deng-ao& Zhou, Jie& Zhao, Ju-min& Liu, Xinyan. J Wave Autodetection Using Analytic Time-Frequency Flexible Wavelet Transformation Applied on ECG Signals. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1208562
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208562